Senior Data Engineer, AI

We are seeking a Senior Data Engineer to architect, develop, and operationalize enterprise-grade AI agents, multi-agent workflows, and AI/ML solutions leveraging Python, Azure AI Foundry, Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, and Strands SDK. In this role, you will partner with architects and data teams to advance solutions from prototype to scalable, dependable production.

Responsibilities

• Architect, develop, and maintain enterprise-grade AI agents and multi-agent workflows for business use cases
• Incorporate and operationalize AI/ML models and agent workflows within scalable production environments
• Build orchestration with Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, and/or Strands SDK
• Apply RAG, grounding, and prompt optimization to enhance response quality and minimize hallucinations
• Connect agents with internal and external systems through APIs and connectors
• Create and deploy error handling, fallback flows, and escalation paths
• Conduct testing and assessment of agents and automation workflows
• Work with architects and data teams to convert requirements into deployable AI solutions
• Assist with deployment, CI/CD, and release management using Azure DevOps
• Track and steadily enhance agent performance, reliability, and cost efficiency

Requirements

• Skilled in Python development for AI/agent solutions, paired with strong general scripting ability
• Practical experience creating agents and multi-agent workflows using one or more orchestration frameworks: Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, Strands SDK
• Deep knowledge of Azure AI Foundry for developing, deploying, and running agents at scale (hosted agents, agent service, memory, evaluation)
• Strong grasp of LLM concepts: prompt engineering, RAG, grounding, tool/function calling, hallucination mitigation, and evaluation
• Proficiency in API integration (REST APIs, JSON, authentication through OAuth2 / API keys)
• Ability to design agent behavior: state and memory management, tool use, error handling, fallback, and escalation paths
• Capacity to work with architects and data engineering teams to deliver scalable, production-grade solutions
• English proficiency at B2 level or above

Nice to have

• Experience with Azure AI Services and the wider Azure stack (Blob Storage, Container Services)
• Familiarity with multi-cloud agent deployment (e.g., AWS Bedrock via Strands SDK)
• Knowledge of Model Context Protocol (MCP) for tool/connector integration
• Understanding of LLMOps / MLOps: monitoring, evaluations, and cost/latency optimization for AI Agents
• Background with vector databases, retrieval infrastructure for RAG, and Docker
• Proficiency in Microsoft Graph API integration and delivering within enterprise or regulated/validated environments (e.g., GxP), including governance and observability tooling

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

• Diversity of assignments and projects
• Personal development plan
• Mentoring programs and leadership development
• Certification and professional development support
• Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
• English courses taught by certified teachers

CORPORATE BENEFITS

• Extra leave days
• Referral bonuses

COMPENSATION PACKAGE

• Competitive compensation paid in USD
• Regular salary and performance reviews

MEDICAL & HEALTHCARE

• Private health insurance

WORKING ENVIRONMENT

• Recreation office zones with tea, coffee and snacks
• Sports and game consoles
• IT equipment and Microsoft's Software Assurance Home Use Program (HUP)