Head of AI Architecture and Strategy

Madison-Davis, LLC; New York (NY); In loco; USD 180.000 - 340.000; Tempo pieno

Descrizione del lavoro

Madison-Davis, LLC seeks a seasoned Head of AI Architecture & Strategy to lead the architecture of its shared AI technology platform and guide long‑term technical direction. This senior, hands‑on role blends enterprise AI architecture, platform engineering, and technical leadership across research, investments, and internal teams.

You will design scalable AI infrastructure, set standards, and drive roadmap alignment while mentoring engineers and ensuring secure, observable production platforms

Competenze

• 10+ years of engineering experience with senior technical leadership responsibilities.
• Hands‑on architecture experience with complex enterprise/shared platforms.
• Strong knowledge of LLMs, AI agents, RAG, model serving, and enterprise AI systems.

Mansioni

• Own the architecture of shared AI services, including model gateways, inference, agent runtimes, orchestration, and retrieval.
• Guide the engineering of AI platform capabilities, agent frameworks, MCP integrations, APIs, and reusable developer tools.
• Establish architectural standards, design patterns, and implementation guidelines.
• Evaluate AI technologies and contribute to platform strategy and roadmap development.
• Provide hands‑on technical architecture, prototyping, engineering reviews, and implementation guidance.
• Ensure production platforms have security, access controls, observability, and reliability.
• Lead and mentor engineering teams while promoting shared platform adoption.
• Collaborate with software engineering, research, investment, infrastructure, cybersecurity, and technology leadership.

Conoscenze

Senior leadership

LLMs & AI systems

Distributed systems

Stakeholder comms

Formazione

Bachelor's degree in a technical field

Strumenti

Kubernetes

Containerization

APIs

Cloud/hybrid infra

Descrizione del lavoro

A leading investment management organization is seeking an experienced Head of AI Architecture & Strategy to lead the architecture of its shared AI technology platform and contribute to its long-term technical direction.

This is a senior, hands‑on position combining enterprise AI architecture, platform engineering, and technical leadership. The successful candidate will develop scalable, secure, reusable AI infrastructure supporting research, investment, and internal business teams.

Responsibilities

• Own the architecture of shared AI services, including model gateways, inference, agent runtimes, orchestration, and retrieval.
• Guide the engineering of AI platform capabilities, agent frameworks, MCP integrations, APIs, and reusable developer tools.
• Establish architectural standards, design patterns, and implementation guidelines.
• Evaluate AI technologies and contribute to platform strategy and roadmap development.
• Provide hands‑on technical architecture, prototyping, engineering reviews, and implementation guidance.
• Ensure production platforms incorporate appropriate security, access controls, observability, evaluation, and reliability.
• Lead and mentor technical engineering teams while promoting adoption of shared platform capabilities.
• Work closely with software engineering, research, investment, infrastructure, cybersecurity, and technology leadership.

Role Requirements

• 10+ years of relevant engineering experience with senior technical leadership responsibilities.
• Deep hands‑on architecture experience involving complex enterprise or shared platforms.
• Strong knowledge of LLMs, AI agents, RAG, model serving, and enterprise AI systems.
• Experience with distributed systems, APIs, Kubernetes, containerization, and cloud or hybrid infrastructure.
• Proven engineering leadership and ownership of production technology platforms.
• Understanding of platform security, access management, reliability, and observability.
• Strong technical judgment, architecture decision‑making, and stakeholder communication.
• Bachelor's degree in a related technical discipline or equivalent practical experience.
• Ability to work onsite in Midtown Manhattan four days per week.

Nice to Have

• Experience building enterprise AI or internal developer platforms.
• Agent frameworks, MCP, AI evaluation, and LLMOps/MLOps experience.
• GPU-backed infrastructure or inference optimization experience.
• Vendor or platform cost management and an advanced technical degree.