Principal AI Engineer

Our Fortune 1000 Credit Services clients is looking for a Principal AI Engineer to join their team.

• Define the strategic roadmap for Git Hub Copilot as a first-class internal product.
• Architect systems for Copilot’s invocation, context retrieval, and action execution using custom tools.
• Design and manage the Model Context Protocol (MCP) toolset to integrate Copilot with platforms like Service Now, Atlassian, Data Dog, and GCP.
• Engineer scalable context strategies, shaping Copilot’s persona and behavior through centralized, version-controlled instructions.
• Design, test, and refine prompts and contextual frameworks to maximize agent accuracy and reliability.
• Establish KPIs, observability stacks, and security safeguards, including human-in-the-loop frameworks and RBAC permissions.
• Deliver cloud-native, microservice-based solutions aligned with secure SDLC practices.
• Mentor engineers, build strong technical teams, and foster collaboration across product, business, and sales partners.
• Troubleshoot production issues under pressure, ensuring compliance with QE, Dev Sec, and Fin Ops KPIs.
• Partner with architects and SRE leads on technical direction, documentation, and architecture decisions.
• Present complex technical concepts clearly to diverse stakeholders.

• Bachelor’s degree in Computer Science or equivalent experience.
• 7+ years designing cloud-native solutions and microservices (Java, Spring Boot, GCP SDKs, Kubernetes).
• 3+ years of Git Hub Copilot expertise.
• 3–5+ years architecting intelligent agent systems integrated with LLMs.
• Hands‑on experience with Git Hub Actions, Jenkins CI/CD, Helm Charts, Terraform, and infrastructure-as-code.
• Strong troubleshooting, communication, and leadership skills.

• Mastery of the Git Hub ecosystem (Actions, Apps, APIs, webhooks).
• Senior‑level proficiency in Python, Go, or Node.js.
• Deep expertise in RESTful API design, MCP specification, and SaaS integrations.
• Advanced cloud‑native knowledge (GCP, Kubernetes, IAM).
• Experience with event‑driven architectures, RAG systems, and pragmatic agent orchestration.
• Applied LLM expertise with tool‑use and function‑calling paradigms.

This role is ideal for a visionary engineer who thrives at the intersection of AI, cloud‑native systems, and agentic orchestration.