Lead Agentic AI Solutions Engineer

Role overview Lead the design and delivery of production agentic AI and intelligent automation for enterprise technology operations and cybersecurity. The work spans full-stack engineering, AI orchestration, data integration, deployment, and ongoing operations, with technical leadership across cross-functional initiatives.

Responsibilities - Build and operate secure, scalable AI applications using enterprise platforms, cloud services, Python, and APIs. - Develop multi-agent systems with tool orchestration, prompt and context engineering, memory, guardrails, and evaluation processes. - Create retrieval solutions using RAG, GraphRAG, vector search, document ingestion, and enterprise knowledge sources. - Deliver capabilities such as incident triage, alert correlation, workflow coordination, operational decision support, and intelligent remediation. - Own solutions from architecture and prototyping through production release, monitoring, optimization, and support. - Partner with architecture, security, platform, product, and operations teams; guide technical decisions and mentor less experienced engineers.

Requirements - 7+ years building software, AI/ML, automation, or full-stack applications, including ownership of complex enterprise solutions. - 5+ years designing cloud-native systems with attention to governance, security, privacy, access controls, resilience, and operational reliability. - Demonstrated delivery of production automation, generative AI, or agentic AI beyond proof-of-concept. - Ability to implement safeguards for data privacy, prompt injection, system resilience, and responsible AI use. - Experience leading technical work and making architecture and implementation trade-offs.

Benefits and work setup - Full-time role with a comprehensive benefits package that includes medical, dental, and vision coverage, paid time off, retirement savings options, and wellness programs, subject to eligibility. - Eligible for an incentive program and an equity award target.