The Foundry Agent Platform organization within Azure AI Platform is looking to build the next generation of AI-driven solutions that power Microsoft’s most innovative products and services, specifically developing advanced tools and services to build and host self-improving agents.
Requirements
- 6+ years of experience in software engineering with a focus on distributed systems, large-scale data platforms, or cloud infrastructure.
- 4+ years of experience working on design and delivery of complex, scalable systems.
- Experience with Agent based architectures, frameworks and technologies (such as MCP, A2A protocol, Langchain, Azure AI Foundry)
- Proficiency in Java or Python.
- Experience with cloud services (Azure, AWS, or GCP), container orchestration (Kubernetes), and big data frameworks (e.g., Spark, Databricks).
- Familiarity with AI/ML workflows, training data pipelines, or synthetic data generation.
Responsibilities
- Lead the design and development of large-scale hosting infrastructure and intelligent services that transform how customers build agents.
- Shape the platform’s technical direction, drive architectural decisions, and partner with leaders across Microsoft to maximize impact.
- Own the technical vision and architecture for scalable, secure, and agentic platform.
- Ensure platform security, compliance, and operational excellence, including entitlement management, capacity planning, and escalation support.
- Mentor engineers, setting best practices in distributed systems, reliability, and large-scale data platform development.
- Influence cross-org strategy by aligning platform priorities with AI training and product teams to deliver company-wide impact.
Other
- Bachelor’s degree in computer science or related technical field AND 6+ years technical engineering experience
- Ability to meet Microsoft, customer and/or government security screening requirements
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Experience working in a large, matrixed organization and influencing at scale.
- Experience mentoring teams and setting technical direction.
