AI Platform Architect — Hands-On Engineering Lead

Harrington Starr; Boston (MA); On-site; USD 180,000 - 340,000; Full time

Job summary

Harrington Starr in Boston is seeking a hands-on Head of AI Engineering to define AI strategy and build a greenfield AI-native platform. You will lead production-grade AI systems, stay close to code, and scale the AI Engineering team while shaping governance and responsible AI.

You'll partner with Product and Engineering leadership to drive architecture, evaluation, and performance. This role combines startup pace with long-term stability in a regulated financial context.

Qualifications

• Strong production experience building AI applications with Python, LLMs, RAG and agentic AI.
• Player-coach mindset with experience leading engineers while staying close to the code.
• Deep understanding of production AI, observability and model performance.
• Experience with modern AI frameworks and cloud platforms (Azure or AWS).
• Experience building AI products within financial services or regulated environments.

Responsibilities

• Own the AI vision and technical strategy across a greenfield AI-native platform.
• Design and build production-grade AI systems using LLMs, RAG and agentic architectures.
• Lead and grow a team of AI Engineers while remaining hands-on with architecture and development.
• Define best practices around evaluation, monitoring, governance and responsible AI.
• Work closely with Product and Engineering leadership to shape the future of the platform.

Skills

AI leadership

Production AI systems

Python/LLMs

Agentic AI

Observability & governance

Tools

Azure

AWS

Vector databases

Workflow orchestration

Job description

Harrington Starr in Boston is seeking a hands-on Head of AI Engineering to define AI strategy and build a greenfield AI-native platform. You will lead production-grade AI systems, stay close to code, and scale the AI Engineering team while shaping governance and responsible AI.

You'll partner with Product and Engineering leadership to drive architecture, evaluation, and performance. This role combines startup pace with long-term stability in a regulated financial context.