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Senior, niche agentic-AI skills and production requirement reduce applicant density.
Highly domain-specific ML/AI production experience and consulting context limits cross-industry transferability.
Requires proven production agentic-AI systems and deep technical leadership, making filters very strict.
Architect and deliver complex agentic AI systems including multi-agent orchestration, RAG pipelines, and evaluation infrastructure for private equity-backed portfolio companies.
Set technical standards and reusable frameworks adopted across teams, making build-vs-buy and architecture trade-off decisions and defending them to technical and executive stakeholders.
Mentor other engineers and collaborate closely with CFOs and PE operators, including occasional client site visits for scoping and presentations.
Demonstrated technical ownership of production agentic AI systems with real users or clients.
Strong fluency in agentic AI architecture concepts: multi-agent orchestration, RAG, tool use, structured outputs, and production evaluation/observability.
Proficient in Python and TypeScript/React with judgment on frameworks vs glue code.
Work Experience Required: Not explicitly mentioned in the JD; Role not eligible for immigration sponsorship; Local presence preferred in listed US office locations.
Experienced in delivering complex AI systems under compressed timelines, preferably in consulting or boutique AI-consulting environments.
Able to set and defend technical direction beyond immediate teams, engaging both technical and non-technical stakeholders including CFOs and PE operators.
Comfortable working in high-velocity, fast-paced environments, leveraging AI tooling effectively to multiply output and uphold high-quality standards.