Responsibilities• Translate product specifications into AI service architectures - decompose business intent into agent workflows, data source integrations, and scalable
service designs.
• Build agentic AI workflows using Azure AI Foundry Agent Service and Microsoft Agent Framework, including multi-agent coordination, tool integrations,
and agent lifecycle management.
• Develop and iterate on LLM-based solutions including prompt engineering, model selection, cost/token optimization, and RAG pipeline design.
• Build evaluation systems including rubrics, golden datasets, and judge agents to validate agent correctness and safety before production deployment.
• Write production-quality C# and Python with test-driven development, ensuring services meet reliability, performance, and security standards.
• Deploy services using CI/CD pipelines, feature flags, and staged rollouts with full production observability (tracing, logging, metrics).
• Implement secure service patterns including RBAC, Managed Identities, and secrets management.
• Integrate agents with Azure data sources and cloud-native services to ground agent responses in real-time signals.
• Apply Responsible AI practices across all agent development, ensuring outputs are safe, fair, and compliant.
• Execute reliably within sprint and co-development commitments across ACES and partner engineering teams.
• Own the end-to-end lifecycle of AI service components, including design, development, testing, deployment, monitoring, and incident response.
QualificationsRequired qualifications- Bachelor's Degree AND 2+ years experience in low-code application development, engineering product/technical program management, data analysis, or product development OR equivalent experience.
Additional or preferred qualifications- Bachelor's Degree AND 5+ years experience in low-code application development, engineering product/technical program management, data analysis, or product development OR equivalent experience.
- 1+ year(s) of experience using low-code/no-code platforms (e.g., Dataverse, Power Applications).
- 1+ year(s) of experience managing and configuring artificial intelligence solutions (e.g., chatbots).
- 1+ year(s) of experience with programming/coding.
- Familiarity with Azure services (Azure OpenAI, Azure AI Foundry, Azure Functions, Cosmos DB, or similar cloud-native technologies).
• Experience with CI/CD pipelines, automated testing, and production observability.
• Understanding of data structures, algorithms, and system design fundamentals.
#EngOps #EngOpsACES
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
