Description
About the Role:
We are looking for an experienced AI-Enabled Engineering Architect to define and guide the architecture of enterprise agentic systems and AI-enabled engineering capabilities.
Key Responsibilities
- Define reference architectures and reusable design patterns for agent development, orchestration, tool calling, context management, multi-agent interaction, and human-in-the-loop controls.
- Set integration patterns for coding agents, agent frameworks, MCP servers, enterprise APIs, and security tools.
- Architect isolated, ephemeral execution environments with identity and access controls, secrets management, and full auditability.
- Establish engineering standards for the agent lifecycle: CI/CD, versioning, behavioral testing, agent evaluations, release management, and runtime operations.
- Guide engineering teams, review solution designs, evaluate technology choices, and resolve complex architectural challenges across initiatives.
- Validate architectural decisions through prototypes and proofs of concept alongside platform engineers and delivery teams.
- Document patterns and standards so they are reused across projects and teams.
Core Skills Required
- Hands-on experience designing and building LLM-based applications, AI agents, or agentic workflows.
- Strong understanding of agent frameworks, coding agents, tool integration, MCP, and orchestration patterns.
- Cloud-native architecture experience: APIs, containers, Kubernetes, and distributed systems.
- Application security: IAM, secrets management, secure SDLC, and software supply-chain security.
- CI/CD, automated testing, observability, and production engineering practices.
- Strong programming skills in Python, Java, or Go.
- Architectural decision-making and clear technical communication.
Qualifications
- 10+ years in software engineering, solution architecture, or distributed systems, including 2+ years building LLM or agent-based systems.
- Experience in secure/regulated enterprise environments preferred.
- Nice to have: experience with enterprise coding-agent platforms or similar AI-assisted engineering tools.
What's In It For You?
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Competitive pay, retirement planning, and financial wellness programs.
- Family Friendly Perks: Perks for your partners and little ones, too.
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