AI Platform Engineer
9 hours ago
KEY RESPONSIBILITIES:
- Architecture & Design - Define enterprise AI reference architecture, multi-agent workflows, and routing policies.
- Platform Build & Integration - Implement agent frameworks, vendor SDKs, API gateways, and vector databases.
- Monitoring, Evals & Governance - Implement LLMOps observability, evaluation harnesses, and guardrail services.
- Deployment & Operations- Create CI/CD pipelines, containerize services, and enforce security best practices.
- Data, RAG & Knowledge - Engineer RAG pipelines and apply document compliance.
- Security, Risk & Compliance - Apply secure-by-design principles and meet privacy requirements.
- Collaboration & Stakeholder Management - Work closely with cross-functional teams and deliver documentation.
- Mentorship & Standards - Promote templates, reusability, and enforce code review practices solutions using Microsoft Azure and Power Platform, as well as integrations into global SaaS platform
- Create APIs, microservices, and agentic AI workflows
- Optimise and integrate LLMs, RAG patterns, and intelligent automation
- Work with emerging protocols such as MCP, A2A, AP2
- Collaborate with cross-functional teams to deliver production-ready solutions
- Contribute to establishing best practices and coding standards
- Ensure thought leadership and continued understanding of emerging AI-related technologies, ensuring we remain competitive in our technology solutions offer
- Transform business challenges and strategic intent into innovative AI-powered solutions
- Support technical governance, architectural reviews, and proactive management of technical debt
- Champion a culture of experimentation, knowledge sharing, and pragmatic engineering
JOB QUALIFICATIONS:
- Bachelor's or master's degree in computer science or related field
- 8+ years in software/ML engineering, with 2+ years building LLM-driven applications.
- Technical Skills - Agent frameworks (LangChain, Semantic Kernel), model providers (Azure OpenAI, Bedrock), RAG & vector databases, LLMOps observability, DevOps & cloud (Docker, Kubernetes), APIs & integration, security & compliance, programming (Python, TypeScript).
- Soft Skills - Excellent communication, collaboration, and problem-solving mindset in an Agile environment.
- 4+ years in software engineering with 2+ years in AI/ML development
- Proficiency with Microsoft Azure (Azure AI Services, Azure OpenAI, Functions
- Strong Python and C#/.NET programming skills
- Hands-on experience building and consuming RESTful APIs
- Practical experience with LLMs, generative AI, and prompt engineering
- Knowledge of AI frameworks (LangChain, Semantic Kernel, or similar)
- Familiarity with responsible AI practices
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