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AI Engineer
Job Location:
Monthly Salary:
Not provided by the employer
Monthly Salary:
Experience Required:
4-5years
Experience Required:
Posted:
14 August 2026 (1 hour ago)
Posted:
Application Deadline:
11 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
We are seeking a hands-on AI Engineer to design build integrate and operationalize enterprise-grade AI solutions across the organization. The role will focus on practical AI engineering using Microsoft Copilot Copilot Studio with the underlying models from OpenAI Anthropic and modern Generative AI capabilities to improve business processes knowledge access productivity and digital service delivery. You will work closely with business stakeholders IT delivery teams data owners and vendors to translate business needs into secure scalable and maintainable AI-enabled solutions. The ideal candidate combines strong technical AI development experience with sound business understanding clear communication skills and the ability to deliver AI solutions responsibly within an enterprise environment
- AI Solution Engineering & Development
- Design develop test and deploy AI-enabled solutions using Copilot Copilot Studio LLM APIs orchestration frameworks and enterprise integration patterns.
- Build practical GenAI use cases such as conversational assistants knowledge retrieval experiences workflow copilots document intelligence summarization and productivity automation.
- Develop prototypes and production-ready AI components that integrate with enterprise systems data sources APIs and Microsoft 365 services.
- Copilot LLM & Agentic AI Delivery
- Configure and extend Microsoft 365 Copilot Copilot Studio agents custom copilots topics actions connectors prompts and enterprise knowledge grounding patterns.
- Work with OpenAI / ChatGPT and Claude models including effective prompt design model selection response evaluation guardrails context handling and performance optimization.
- Apply Retrieval-Augmented Generation (RAG) embeddings vector search function calling tool use and agentic workflow concepts where appropriate.
- Integration Data & Technical Architecture
- Collaborate Techno-Functional developers to define AI solution designs integration approaches APIs data flows authentication and security boundaries.
- Connect AI solutions to structured and unstructured enterprise data sources while considering data quality permissions sensitivity and governance requirements.
- Produce technical documentation including architecture notes integration specifications prompt libraries model evaluation notes and operational runbooks.
- Responsible AI Security & Governance
- Embed responsible AI principles privacy compliance security and risk considerations into AI solution design and delivery from the start.
- Support model and prompt evaluation hallucination control access control validation data leakage prevention and safe-use guidance for business users.
- Contribute to AI governance artefacts standards reusable patterns and technical controls for enterprise AI adoption.
- Business Engagement & Use Case Delivery
- Work with business stakeholders to understand pain points assess AI feasibility refine requirements and translate business needs into technical AI solutions.
- Support discovery workshops solution demos user testing adoption activities and continuous improvement cycles for AI-enabled products and services.
- Balance technical feasibility business value user experience delivery effort and operational sustainability when shaping AI use cases.
- Quality DevOps & Continuous Improvement
- Apply software engineering practices including version control code review testing environment management deployment discipline and ongoing monitoring.
- Evaluate AI outputs using defined quality criteria feedback loops test datasets prompt regression checks and business acceptance measures.
- Stay current with developments across Copilot OpenAI Claude Azure AI GenAI frameworks and emerging enterprise AI patterns.
Requirements
- 5 years of technology delivery or software engineering experience with meaningful hands-on exposure to AI automation data or enterprise application development.
Practical experience designing or developing AI-enabled solutions using LLMs APIs prompt engineering workflow automation or intelligent assistants.
Strong understanding of Generative AI concepts model behaviour prompting techniques grounding evaluation limitations and responsible AI considerations.
Ability to translate business requirements into technical designs prototypes production-ready AI features and measurable business outcomes.
Working knowledge of APIs JSON authentication concepts secure integration patterns data handling and software development lifecycle analytical troubleshooting communication and documentation skills with the ability to explain technical AI concepts to non-technical stakeholders.
Bachelors degree in Computer Science Artificial Intelligence Data Science Software Engineering Information Technology or a related field.
Hands-on experience with Microsoft 365 Copilot Copilot Studio Azure AI Foundry / Azure Open AI or comparable enterprise AI platforms.- Experience with OpenAI / ChatGPT Claude embeddings vector databases RAG architectures LangChain / Semantic Kernel or agentic AI frameworks.
- Experience integrating AI solutions with Microsoft 365 SharePoint Teams Power Platform Dynamics 365 Salesforce ERP ITSM or other enterprise systems
Knowledge of data governance privacy security access control content classification and enterprise compliance requirements.
Experience in real estate leasing asset management customer experience or other business domains relevant to enterprise operations.
Cloud AI Agile or software engineering certifications such as Microsoft AI / Azure certifications Scrum SAFe or equivalent credentials.
Consulting product delivery or client-facing experience delivering AI automation or digital transformation solutions.
Benefits
Visa
Health Insurance
End of Service Benefit
Annual Flight
Required Skills:
Required Skills & Experience: Proven experience as a Solution Architect or similar role across multiple domains Strong expertise in Cloud platforms (AWS Azure or GCP) Experience in Data Architecture Data Engineering and Analytics platforms Knowledge of AI/ML solutions and frameworks Solid background in Software Engineering including microservices architecture and APIs Experience with Digital platforms customer experience solutions or front-end ecosystems Strong understanding of system integration security and scalability Excellent stakeholder management and communication skills
Required Education:
Bachelors or Masters degree in Computer Science Software Engineering Data Science or a related field.
