Design and build AI-enabled applications, copilots, assistants, and workflow automation solutions on top of the AI Hub platform
Integrate enterprise data, business services, and tools into governed, compliant AI experiences
Implement orchestration logic, tool-calling flows, prompt chains, and human-in-the-loop patterns where appropriate
Partner closely with business, product, risk, and platform teams to shape use cases into production-ready solutions
Identify reusable components, patterns, and lessons learned to inform platform evolution and enablement efforts
Help define and meet non-functional requirements related to accuracy, explainability, security, cost, latency, and supportability
Participate in pilots, experiments, and production releases for AI-enabled solutions

7–12 years of experience building software applications and services in production environments
Python preferred
7–12 years of experience integrating APIs, enterprise systems, and data services
2–3 years of hands-on experience with AI/LLM application development, including prompt engineering, retrieval, and orchestration frameworks
Ability to move from loosely defined ideas to implemented, working solutions
Strong collaboration and communication skills across technical and non-technical stakeholders

Applied AI Solutions Engineer

Key skills