Chief AI Engineer & Platform Lead

Alfa-Executive Solutions; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Alfa-Executive Solutions is seeking an exceptional AI Engineering Leader to own and scale the AI organization — covering the AI infrastructure, agent intelligence and agentic products at the heart of the platform.

You’ll lead the current AI team, define the technical strategy for production-grade agentic systems, build reliable long-running AI agents, and recruit and mentor engineers while remaining hands-on with architecture and code.

Qualifications

• Experience leading AI/ML engineering teams building production LLM or agentic systems.
• Direct experience shipping AI products rather than operating solely in research or advisory roles.
• Deep understanding of agent architectures including tool use, planning, orchestration, evaluations and reliability.
• Strong hands-on technical capability and the ability to operate comfortably at code and architecture level.
• Experience recruiting and scaling high-performing engineering teams.

Responsibilities

• Own and scale the AI engineering organisation.
• Define the technical strategy for production-grade agentic AI systems.
• Build infrastructure supporting reliable, long-running AI agents.
• Recruit, mentor and retain exceptional AI engineers and future engineering leaders.
• Establish rigorous approaches to evaluation, reliability and model performance.
• Work closely with founders, engineering and product leadership.
• Remain hands‑on with architecture and code.
• Push the capabilities of AI agents within complex insurance workflows.

Skills

Production LLMs

Agentic systems

Leadership

Hands-on coding

Hiring & mentoring

Communication skills

Tools

LLM platforms

Agent tooling

Job description

Alfa-Executive Solutions is seeking an exceptional AI Engineering Leader to own and scale the AI organization — covering the AI infrastructure, agent intelligence and agentic products at the heart of the platform.

You’ll lead the current AI team, define the technical strategy for production-grade agentic systems, build reliable long-running AI agents, and recruit and mentor engineers while remaining hands-on with architecture and code.