Sr.AI Engineer - AI Applications, Agents & Automation

• Design, develop, deploy, and operate AI-powered applications, agents, and automation workflows, using LLMs, foundation-model APIs, retrieval, embeddings, and structured or deterministic software as appropriate to the problem.
• Build secure, reliable, observable, and testable production systems - not prototype-only or notebook-only solutions.
• Design APIs, integrations, distributed services, asynchronous processes, and workflow orchestration that connect AI capabilities to enterprise systems.
• Develop evaluation, benchmarking, monitoring, and observability capabilities for AI and agentic systems, and investigate issues through systematic root-cause analysis.
• Identify manual, inefficient, or fragmented workflows and replace them with reusable, auditable software and automation capabilities that can serve multiple use cases.
• Apply modern engineering practices - source control, automated testing, CI/CD, infrastructure as code, containers, and production monitoring - across everything you ship.
• Partner directly with business and technology stakeholders to translate ambiguous problems into practical, measurable solutions, and communicate technical decisions clearly to technical and non-technical audiences.

• Strong professional software engineering experience with ownership of production applications or systems.
• 10 years of experience
• Strong hands-on programming experience in Python and/or Go.
• Hands-on experience building applications using LLMs, foundation-model APIs, agent frameworks, or related AI technologies.
• Experience designing production APIs, services, integrations, asynchronous workflows, or distributed applications.
• Experience with cloud-native application development, preferably in Azure or a comparable enterprise cloud environment.
• Working knowledge of CI/CD, automated testing, containers, infrastructure as code, monitoring, and observability.
• Experience troubleshooting production systems and supporting applications after deployment.
• Ability to operate effectively with incomplete requirements and limited day-to-day technical direction.
• Ability to make sound architectural and engineering tradeoffs and explain those decisions clearly.
• Strong communication skills across engineering, architecture, business, and product stakeholders. *

Preferred Qualifications

• Production experience building AI agents or agentic workflows.
• Experience with ADK, LangGraph, or comparable agent orchestration technologies.
• Experience with Azure AI Foundry and Azure AI Search.
• Experience with retrieval-augmented generation, enterprise search, embeddings, and knowledge integrations.
• Experience with AI evaluation and testing across retrieval, reasoning, tool calling, structured output, and model behavior.
• Experience designing secure AI systems using identity, authorization, guardrails, auditing, and controlled tool access.
• Experience with Terraform and AKS or comparable infrastructure/container platforms.
• Experience integrating AI systems into enterprise APIs, workflows, and applications.
• Experience with workflow automation platforms such as UiPath.
• Healthcare, payer, claims, customer-service, or other regulated-industry experience.
• Experience guiding technical decisions, establishing engineering patterns, or mentoring other engineers.