AI Frontier Engineer: Agent Systems & Platform Reliability

Job description: The Frontier Engineer needs to have a multi-disciplined skill profile (engineering, data, infrastructure) and experience designing and governing agentic systems, leading domain-level AI architecture, setting technical standards for AI-embedded platforms, or providing principal-level technical advisory to delivery teams and clients are eligible to apply. The selected candidate will be expected to work on some of the following activities: Build AI agent/skills execution environments Create validation pipelines Implement policy enforcement Configure security/compliance gates Create feedback loops for self-healing AI workflows Manage benchmarks and golden datasets Provide auditability and observability Ensure reliability of the overall AI skills ecosystem

• Built and hardened harnesses in Windsurf and Claude Code
• Artificial Intelligence, Commercial Gen AI
• Experience with legacy, Brownfield, and regulatory projects
• Required pure plan AI skills to build and support the Harness Hardening and create specific agents
• Expertise in: o End-to-end conversational-to-production workflows o Automation of testing and solutions o Creating solution design and technical design documents o Building harness skills and templates o Greenfield/Brownfield/SaaS conversion programs