751 AI Solutions jobs in Singapore

Job ID: 19556

Location:
Elect – 100 Jurong East Street, SG

Description:

The Company - ST Engineering Group Engineering Center

At ST Engineering, we apply our technology and innovation to solve real-world problems and improve lives. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust as a global technology, defence and engineering group. Our diverse portfolio of businesses spans the aerospace, smart city, digital solutions, defence and public security segments. As the Group Engineering Center, we aim to transform the use of technology across all of ST Engineering businesses and push the boundaries of what is possible in the realm of AI to create transformative solutions that impact industries worldwide.

Job Brief (Full-Time)

We are looking for a versatile professional to bridge AI innovation with client engagement. This role combines presales activities such as understanding customer challenges, developing proposals, and showcasing AI capabilities, together with the technical expertise to drive prototyping of AI-driven solutions with the AI team.

The ideal candidate must be technically competent while equally comfortable presenting to senior business stakeholders and building hands-on prototypes with modern AI frameworks. This is a strategic role that directly influences client adoption while shaping the early design of scalable AI solutions.

Responsibilities

AI Prototyping & Exploration

• Solution Design & Ideation: Translate client problem statements into technical hypotheses and conceptual AI architectures. Identify opportunities for applying LLMs, RAG pipelines, and multi-agent frameworks to specific business needs.
• Rapid Prototyping: Be able to work with AI team to build proof-of-concepts and demos using state-of-the-art external (e.g., LangChain, LlamaIndex, Hugging Face, vector databases) and in house frameworks. Showcase functionality quickly to validate business value and feasibility.
• Experimentation & Benchmarking: Evaluate different LLMs (GPT, Claude, Llama, Mistral, etc.) and architectures for accuracy, latency, scalability, and cost efficiency. Conduct A/B testing and fine-tuning to optimize results.
• Data Handling & Integration: Design lightweight data pipelines for ingestion, preprocessing, and embedding generation. Work with structured and unstructured data sources to enable retrieval-augmented generation (RAG) and knowledge mining.
• Workflow Engineering: Develop agentic workflows that combine reasoning, retrieval, and tool usage. Prototype orchestration layers for decision-making tasks, simulations, or automation of multi-step processes.
• Evaluation & Governance: Define metrics and perform validation on prototype outputs for reliability, robustness, and alignment with responsible AI practices (bias, explainability, transparency).
• Documentation & Knowledge Transfer: Capture design decisions, experiment results, and prototype architecture. Provide clear technical documentation for internal stakeholders and delivery teams.
• Transition to Delivery: Collaborate with engineering and product teams to convert successful prototypes into scalable solutions ready for production deployment. Provide presales technical handover to ensure client expectations are met.

Presales & Client Engagement

• Engage with potential clients to uncover pain points and translate them into AI use cases.
• Lead discovery sessions and solution workshops with internal and external stakeholders.
• Develop proposals, pitch decks, and demos that highlight business value through Generative AI.

Requirements

• Bachelor's or Master's in Computer Science, AI, Data Science, Business, or related fields.
• Strong technical grounding in LLMs, NLP, and Generative AI. Experience with RAG, agentic workflows, and open-source AI frameworks preferred.
• Proven experience in client-facing roles such as presales, solution consulting, or technical evangelism.
• Excellent communication and presentation skills, capable of translating complex AI concepts into business value propositions.
• Proficiency in Python and modern AI prototyping tools (LangChain, Hugging Face, vector databases such as FAISS/Chroma/Weaviate).
• Familiarity with Agile project methodologies and project tracking tools (e.g., Jira, Confluence).
• Exposure to cloud AI platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is a plus.
• Certifications in AI, ML, or project management (e.g., AWS ML Specialty, TensorFlow Developer, PMP) are an advantage.

What we offer

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge generative AI projects that directly impact business innovation.
• Join a young and dynamic team with forward-looking working culture that fosters innovation, collaboration, and personal growth.
• Access to cutting-edge technology resources, opportunities for continuous learning and skill development.

Apply now if you are excited to use Generative AI to bring ideas to life and shape the future of intelligent solutions.

About Neo4j
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.

At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.

Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it's accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j's cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at and follow us on LinkedIn.

Our Vision
At Neo4j, we have always strived to help the world make sense of data.

As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive.

As an AI Solutions Consultant at Neo4j, you will drive transformative change by designing, building, and deploying innovative solutions that combine the power of graph databases and AI. You'll work hands-on to develop scalable, production-grade solutions while acting as a trusted advisor to strategic customers, translating complex data challenges into tangible business value. This involves collaborating closely with customer executives and technical leaders to understand their specific needs and then leveraging your expertise in graph technologies, LLMs, and AI orchestration frameworks to develop bespoke, production-ready AI applications grounded in real-world context using Neo4j Knowledge Graphs.

Providing hands-on consulting and technical expertise for customer engagements will be central to your role. You'll collaborate with Neo4j's most strategic customers on projects that revolutionize their businesses. You'll also collaborate with key Neo4j cloud partners to deliver joint consulting services, offering technical guidance and best practices.

Key Responsibilities
Solution Architecting:

• You will work with customer technical leads, customer executives, and partners to manage and deliver successful implementations of Graph+GenAI solutions becoming a trusted advisor to decision-makers throughout the engagement.
• You will propose solution architectures and manage the deployment of Graph+GenAI solutions according to complex customer requirements and implementation best practices.
• You will work directly with customers to understand their business objectives and translate them into AI-powered solutions that leverage graph databases and LLMs. This includes gathering requirements, understanding existing data landscapes, and identifying opportunities to apply graph-based AI to solve business challenges.
• You will interact with customer stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful customer outcomes.

Solution Engineering

• You will develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks. This involves writing production-level code, optimizing for performance and scalability, and ensuring seamless integration with customer systems.
• Continuously evaluate and improve the performance, scalability, and efficiency of deployed AI applications, incorporating new techniques and technologies as they emerge.

Education & Enablement

• You will work with other teams at Neo4j (Product and Marketing) to influence the roadmap and provide insights from the field, and package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
• You will share your expertise internally with other Neo4j teams and also with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver.
• Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies.

Required Qualifications

• Enterprise Application Development: 5+ years of experience in designing and developing enterprise-class applications, demonstrating a strong understanding of software development lifecycle principles.
• LLM Proficiency: 2+ years of Experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications. Maintain up-to-date knowledge of different LLM providers and their strengths and limitations (e.g., OpenAI's GPT and O families, Anthropic's Claude family, Google's Gemini, xAI's Grok, as well as open-source LLMs like LLama, DeepSeek, and Mistral).
• Programming Proficiency: Competence and hands-on experience in at least one of the following languages: Java, JavaScript, Python, or C#. Ability to write clean, maintainable, and efficient code is essential.
• Deployment and Version Control: Hands-on experience with deployment software on major platforms, such as Linux, Docker, and Kubernetes, and proficiency in source control software, including Git and SVN.
• Cloud Computing Expertise: Practical experience with cloud platforms (e.g., AWS, Azure, GCP) and demonstrated proficiency in deploying applications within cloud environments.
• Generative AI Ecosystem Knowledge: Deep understanding of the generative AI ecosystem, including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning).
• Data Expertise: Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and sources. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL and NoSQL).
• Graph Database Expertise: Deep understanding of graph database concepts, data modeling, and query languages (e.g., Cypher). Demonstrate hands-on experience with graph databases (e.g., Neo4j, Neptune, TigerGraph) or triple stores (e.g., Ontotext, Stardog).
• Communication and Collaboration Skills: Excellent communication and interpersonal skills to effectively collaborate with customers and internal teams, fostering strong working relationships.
• Problem-Solving and Analytical Abilities: Strong analytical and problem-solving abilities to address complex technical challenges and design effective AI solutions.
• You will have the ability to travel up to 50% of the time for customer engagements.

Overview
Design and ship AI-powered workflows, copilots, and internal tools that drive business growth and elevate Grain’s customer experience - through tight collaboration, disciplined execution, and rapid iteration.
Outcomes
Deliver 5+ “quick wins” in your first 90 days that save 20+ hours/week across non-tech teams.
Launch at least one production-grade agent/workflow with clear ROI and basic observability (usage, latency, cost).
Publish a lightweight playbook (prompt/eval templates, RAG/agent boilerplate, Slack bot kit) others can reuse.
Document what you ship and train teammates so solutions stick.
Requirements
Solid grasp of modern AI: LLMs, embeddings, RAG, agents, prompt design, evals/guardrails.
APIs & automation: REST/GraphQL, webhooks, OAuth, queues/cron; glue things together (POS/ERP/CRM, Sheets, Slack).
Data basics: SQL, Postgres, JSON; pragmatic ETL hygiene; debug messy real-world data.
Engineering hygiene: testing mindset, profiling/optimisation instincts, concise docs.
Owner mindset: bias to ship, learn, iterate; low-ego collaboration; clear writing.
Nice to have
Observability (logs/tracing), cost tracking for AI calls, feature flags.
Frontend for internal tools (React/Tailwind).
Security & privacy awareness (secrets, PII minimisation).
Responsibilities
Partner with ops, culinary, finance, sales, product/engineering to uncover high-leverage problems and translate them into AI-assisted workflows.
Prototype fast (days, not weeks): ship v0, measure, iterate to v1–v3.
Integrate systems end-to-end (APIs, webhooks, queues) to remove manual steps.
Turn proven hacks into reliable services: tests, observability, cost controls, basic security checks.
Share patterns: write docs, run demos, raise the org’s AI literacy.
What’s in it for you
Work with a fast growing, at the same time, lean and mean team, to make real world impact.
Have a lot of ownership and drive your own results and progression.
Smart people who sweat the details and push for the highest standards.
Training and in-house opportunities to help you grow.
Other benefits include a competitive compensation package and birthday leave.
You should include these in your application:
CV or LinkedIn profile
Tell us about a time you had to work on a highly challenging task. How did you overcome it?
What motivates you?
What's your favourite food and where do you get it? Why?
A good way to start is to read about what it is like working at Grain: Grain Careers
Seniority level
Associate
Employment type
Full-time
Job function
Industries: Food and Beverage Services
Referrals increase your chances of interviewing at Grain
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Mission
Design and ship AI-powered workflows, copilots, and internal tools that drive business growth and elevate Grain’s customer experience - through tight collaboration, disciplined execution, and rapid iteration.
Outcomes
Deliver 5+ “quick wins” in your first 90 days that save 20+ hours/week across non-tech teams.
Launch at least one production-grade agent/workflow with clear ROI and basic observability (usage, latency, cost).
Publish a lightweight playbook (prompt/eval templates, RAG/agent boilerplate, Slack bot kit) others can reuse.
Document what you ship and train teammates so solutions stick.
Requirements
Solid grasp of modern AI: LLMs, embeddings, RAG, agents, prompt design, evals/guardrails.
Comfortable with code: JavaScript/TypeScript or Python (both ideal).
APIs & automation: REST/GraphQL, webhooks, OAuth, queues/cron; glue things together (POS/ERP/CRM, Sheets, Slack).
Data basics: SQL, Postgres, JSON; pragmatic ETL hygiene; debug messy real-world data.
Engineering hygiene: testing mindset, profiling/optimisation instincts, concise docs.
Owner mindset: bias to ship, learn, iterate; low-ego collaboration; clear writing.
Nice to have
Rails/Node backends; Cloudflare Workers/GCP; Docker/K8s familiarity.
Observability (logs/tracing), cost tracking for AI calls, feature flags.
Frontend for internal tools (React/Tailwind).
Security & privacy awareness (secrets, PII minimisation).
Responsibilities
Partner with ops, culinary, finance, sales, product/engineering to uncover high-leverage problems and translate them into AI-assisted workflows.
Prototype fast (days, not weeks): ship v0, measure, iterate to v1–v3.
Build/evolve LLM pipelines (retrieval, tool-use/agents, evals, guardrails, monitoring).
Integrate systems end-to-end (APIs, webhooks, queues) to remove manual steps.
Turn proven hacks into reliable services: tests, observability, cost controls, basic security checks.
Share patterns: write docs, run demos, raise the org’s AI literacy.
What’s in it for you
Work with a fast growing, at the same time, lean and mean team, to make real world impact.
Have a lot of ownership and drive your own results and progression.
Smart people who sweat the details and push for the highest standards.
Training and in-house opportunities to help you grow.
Other benefits include a competitive compensation package and birthday leave.
You should include these in your application:
CV or LinkedIn profile
Tell us about a time you had to work on a highly challenging task. How did you overcome it?
What motivates you?
What's your favourite food and where do you get it? Why?
A good way to start is to read about what it is like working at Grain:
#J-18808-Ljbffr

About Us:

From business process re-engineering to global business expansion for Japanese corporations, ABeam Consulting has served our clients through more than 40 years of growth. With our vision of being the No. 1 global consulting firm from Asia, ABeam Consulting helps our clients take on the challenge of business transformation. With 4,400 consultants in Japan, and 3,100 in overseas offices concentrated in Asia, our 7,500 consultants and global alliance partners provide truly comprehensive services.

Responsibilities:

• Lead the establishment and delivery of AI-related services for the banking sector.
• Develop go-to-market strategies and release AI solutions to clients.
• Build and manage a high-performing AI service team based on business growth.
• Guide team members on technical and business aspects of AI delivery.
• Act as a global AI advisor, sharing expertise and best practices within ABeam.
• Contribute to internal capability building and innovation.
• Drive ABeam's visibility and thought leadership in the AI market.
• Represent the company in external events and client-facing engagements.

Requirements:

• Bachelor's degree in any field.
• Minimum 10 years of experience in the banking sector.
• Minimum 5 years leading AI-related initiatives in banks or consulting firms.
• Hands-on experience with enterprise-scale AI platforms (e.g., ADA).
• Strong understanding of AI lifecycle: data sourcing, model building, deployment, and monitoring.
• Familiarity with AI applications across banking functions: retail, SME, compliance, operations.
• Practical experience with MLOps frameworks and cloud AI tools (Azure ML, Databricks).
• Knowledge of data governance and AI model reusability.
• Proven track record in building and leading AI-focused teams.
• Excellent interpersonal and stakeholder management skills, including experience interfacing with consultant level executives.
• Prior experience working in a consulting environment and exposure to knowledge management platforms (e.g., ALAN) are a plus.

Why Join Us

At ABeam Consulting, we place a strong emphasis on collaboration, and helping our employees grow and develop their skills, offering a supportive and empowering work environment. With a presence in multiple countries and a diverse range of clients, ABeam Consulting offers an exciting and dynamic workplace for individuals looking to build a career in consulting. ABeam Consulting has also recently joined SAP's regional strategic partner initiative as their first regional partner in the region and has also been recognized by UiPath as a Diamond Partner in providing RPA solutions. With such accolades, we aim to continue driving enterprise and digital transformation initiatives in order to transform the way people work and communicate in the digital age. In addition, our industry team is working tirelessly in order to bring more solutions to the banking and finance sector.

We regret only shortlisted candidates will be notified.

SvEOj7XfzB

Home Team Science and Technology Agency (HTX)

Permanent/Contract

Closing on 10 Sep 2025

What the role is

The Deputy Director of AI Solutions & Design holds a critical position in establishing strategic partnerships with stakeholders across all MHA Home Team Departments (HTDs) and Statutory Boards at a senior level.
He/She will be responsible for leading the team in eliciting requirements through design thinking, and translating them into high-level solutions that are in line with the AI Central strategy to accomplish MHA's strategic AI objectives. This role involves collaborating with key stakeholders and product managers to assess requirements for new projects, ensuring efficient allocation of resources, and providing the necessary tools and services for agencies. Additionally, this role may involve coordinating outreach events, roadshows, and AI-related workshops.

What you will be working on

•Establish strategic engagement plan and process with stakeholders across all MHA Home Team Departments and Statutory Boards at a senior level

•Drive collaboration with key stakeholders and product managers to evaluate requirements for new projects

•Lead teams in gathering user requirements through design thinking and translating them into high-level solutions, delivering projects and products

•Lead teams in evaluating requirements for new projects, conduct prioritization, help agencies scope out their use case, and determine the necessary tools and services needed by the agencies

•Work closely with Product Managers and product teams to efficiently allocate resources and identify projects for prioritization and scaling back when resources are constrained.

•Facilitate collaborations with industry partners, IHLs and RIs for information sharing, co-developments, and joint trial/project implementation

•Monitor and analyze industry trends and recent advancements, conduct strategic foresight, and evaluate their influence on current and future AI POCs, Projects and Product roadmain alignment with the AI & Digitalisation Masterplan of HTX and HTDs

•Lead and coordinate outreach events, roadshows, and AI-related workshops.

What we are looking for

•Min Degree in Information Systems, Information Technology, Computer Science, Computer Engineering or related disciplines, with experience in AI / Data Science / Machine Learning

•Min 10 years' experience in technology development and in AI related domains and at least 5 years in a leadership position

•Proficient in technology solution design and implementation

•Knowledge in multi-tier architectures for AI and Data analytics platforms.

•Knowledge in AI technologies across various domains including Adversarial AI, Vision AI, Embodied AI, Language AI, Multi-modal AI, and Emerging AI

•Excellent stakeholder management skills

•Experience in leading and collaborating with multi-agencies teams

•Strong leadership and supervisory track records

•Prior experience in engaging public officers and government agencies on projects and collaborations will be advantageous

•Having domain knowledge in Homeland Security sector will be an added bonus
All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance.
As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.
All applicants will be updated on the status of their applications within 4 weeks upon closing of the advertisement.

About Home Team Science and Technology Agency (HTX)

HTX is the world's first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally-ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore's frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team's advantage and secure Singapore as the safest place on planet earth.

About your application process

This job is closing on 10 Sep 2025.

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Home Team Science and Technology Agency (HTX) or the wider Public Service.

Join to apply for the
AI Solutions Consultant – Industrial
role at
Yokogawa
Join to apply for the
AI Solutions Consultant – Industrial
role at
Yokogawa
Not just a job, but a career
Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
Not just a job, but a career
Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
About The Team
Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
Responsibilities
Collaborate with Regional HQs and sales teams to develop opportunities and drive global order intake for AI-enabled AOM (Asset Optimization Management) solutions.
To understand client challenges across operations, maintenance, and asset performance, tailor AI-driven solutions to meet their needs.
Lead or support solution demonstrations, articulating business value through data-driven storytelling and technical depth.
Build trusted relationships with both technical stakeholders and executive sponsors.
Stay updated on AI trends in Industry 4.0, bringing innovation into client engagements and internal capability development.
Requirements
Bachelor’s degree in engineering, Computer Science, AI/ML, or related discipline.
Minimum 5 years of working experience in AI, data science, digital transformation, or industrial automation.
Solid knowledge of industrial environments (oil & gas, mining, utilities) and experience with digital transformation projects.
Hands-on experience with AI/ML applications such as predictive maintenance, real-time optimization, digital twins, or anomaly detection.
Familiarity with platforms like ERP, MES, EAM/CMMS, APM, SCADA, and IoT ecosystems.
Strong communication, stakeholder engagement, and presentation skills.
Good understanding of edge computing, agentic AI, and time-series data
By responding to Yokogawa’s advertisement, consent is considered given to Yokogawa to collect the required personal data for the purpose of recruitment with expectation that Yokogawa will protect personal data with security safeguards that are reasonable and appropriate to the sensitivity of the personal data, to protect it from unauthorized access, use or disclosure and complies with applicable regulatory requirements with respect to the retention of personal data.
We regret to inform that only shortlisted candidates will be notified.
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
Are you being referred to one of our roles? If so, ask your connection at Yokogawa
about our Employee Referral process!
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Consulting, Information Technology, and Sales
Industries Automation Machinery Manufacturing
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Our client from the Fintech industry is hiring for an FRM AI Solutions Consultant position. This organization develops cutting-edge financial risk management software by combining deep domain expertise with advanced analytics and AI.
Job Description
Translate financial business logic, risk principles, and regulatory requirements into specifications for AI-enhanced features.
Design and test prompts (Prompt Engineering) to guide AI-driven solutions, ensuring accuracy and commercial viability.
Participate in the full product development lifecycle, including ideation, feature testing, and validation against industry benchmarks.
Collaborate with product managers and engineers to ensure financial soundness in product logic.
Support pre-sales efforts by preparing business proposals, marketing materials, and solution presentations.
Assist in product implementation through system configuration, validation testing, and client training.
Monitor regulatory and industry updates to maintain relevance and compliance in financial risk management solutions.
Qualifications
Bachelor's or Master's degree in Finance, Economics, Business, Accounting, or a related field.
Strong foundational understanding of financial risk management, accounting principles, or financial business logic.
Demonstrable interest and foundational knowledge in Python and SQL.
Excellent analytical and problem-solving skills with a strong desire to learn and adapt in a fast-paced environment.
Strong communication and interpersonal skills.
We are an equal opportunities employer and welcome applications from all qualified candidates.
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About Us:
We are a forward-thinking organisation in the property market on a mission to become a market leader by leveraging AI to transform operations and elevate customer experiences.

Job Description:
We are looking for an innovative and proactive AI Solutions Research & Implementation Officer to join our team. In this role, you will identify, evaluate, and implement AI tools and technologies that optimize daily operations, improve productivity, and enhance business outcomes. Your insights and guidance will help position our company as a leader in AI-driven real estate solutions.

Key Responsibilities:

• Conduct in-depth research to identify AI tools, platforms, and emerging technologies relevant to real estate operations.
• Assess the feasibility, ROI, and operational impact of AI solutions to prioritize implementation.
• Collaborate with marketing, sales, operations and IT teams to identify areas where AI can improve efficiency, engagement, and conversion.
• Implement pilot projects to test AI-driven campaigns, chatbots, recommendation engines, and workflow automation.
• Design and lead pilot projects to test AI applications.
• Monitor industry trends to ensure the company remains at the forefront of AI adoption.
• Train and guide staff on the effective and ethical use of AI tools.
• Work closely with IT and operations teams to integrate AI solutions securely and seamlessly into existing systems.

Required Skills & Qualifications:

• Higher Nitec Certificate, Diploma or Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field.
• Strong understanding of AI technologies, including machine learning, automation, and workflow optimization.
• Proven experience in evaluating, piloting, and implementing AI solutions.
• Excellent analytical, problem-solving, and research skills.
• Strong communication skills to explain technical concepts to non-technical stakeholders.
• Ability to manage multiple projects independently.
• Experience with cloud platforms, APIs, and enterprise software integration is a plus.
• Fresh graduates are welcome