Software Developer, AI Agents

Responsibilities

• Drive the development of the “Agent Ecosystem” by designing, building, and operationalizing enterprise-grade AI agents and the orchestration layer that seamlessly coordinates their interactions.
• Serve as a player-coach, balancing hands‑on engineering, building agent prototypes and platform components, with strategic guidance, including shaping product direction, advising on implementation best practices, and fostering a culture of technical excellence.
• Initially focus on creating foundational patterns and frameworks that can be leveraged across the broader agent development landscape, enabling scalability and reusability.
• Design agents and implement an agent orchestration layer (routing, tool‑calling patterns, workflow coordination, agent registry integration, state management, and failure/fallback strategies) by leveraging your software development skills in Python.
• Define and apply enterprise agent patterns (standard agent templates, reusable components, and orchestration controls).
• Establish observability/monitoring for agents and orchestrations: logging, tracing, drift detection signals, agent‑specific metrics, and operational dashboards.
• Integrate Microsoft Azure services and Microsoft ecosystem components (with emphasis on Azure AI capabilities and “Foundry” experience where applicable).
• Partner with leadership to clarify expected outcomes/vision and translate them into an executable build plan, architecture decisions, and delivery milestones.
• Operate and support production‑grade AI solutions to meet availability, reliability, and performance expectations.
• Perform routine model, prompt, and configuration updates within approved change processes.
• Embed Applied AI Evals considerations into the platform: governance hooks, auditability, risk controls, and operational readiness for agents.

• 6-7 years of AI software development experience, with at least 2 years in AI agent/multi‑agent development.
• Hands‑on experience across Microsoft Azure services (designing, deploying, and operating cloud‑native systems).
• Certifications in Azure AI Engineer, Python skills is a plus.
• Strong background in AI agent ecosystems (multi‑agent patterns, orchestration concepts, agent registries, tool routing, memory/state, evaluation approaches).
• Demonstrated ability to implement monitoring/observability for AI/agent solutions (logging, tracing, metrics, and operational alerting).
• Proven delivery on multiple AI initiatives—comfortable shaping ambiguity into “the right questions,” crisp requirements, and practical design.
• Financial services or wealth management experience preferred.