Associate Director - Gen AI & Agentic Architect

Macrohire; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Macrohire seeks an Associate Director of Gen AI & Agentic AI Architect to lead enterprise AI transformations for strategic clients. You will shape long-term AI roadmaps, drive governance, and foster executive relationships, guiding multi-year programs across onshore and offshore teams.

You will develop repeatable offerings, reference architectures, and IP, while overseeing delivery quality, risk, and commercial success in a fast-evolving AI landscape.

Qualifications

• Master’s degree or PhD in CS/AI/Data Science with extensive AI architecture leadership.
• Eight+ years of client-facing leadership experience at senior levels (Associate Director/Director).
• Experience leading multi-million-dollar AI programs and portfolios across multiple client accounts.

Responsibilities

• Own Gen AI and Agentic AI strategy, roadmap, delivery, and outcomes across strategic accounts.
• Serve as executive AI advisor to CXO-level stakeholders and translate AI into business value.
• Lead executive briefings, AI maturity assessments, and transformation roadmaps.
• Develop repeatable offerings, accelerators, and reference architectures to scale AI programs.
• Oversee revenue, margin, pipeline, and growth targets across accounts.

Skills

Executive leadership

Python

LLM APIs

Prompt engineering

Agentic workflows

MLOps

Stakeholder management

RFPs & Proposals

Strategic advisor

Education

Master’s degree in CS/AI/Data Science

PhD preferred

Tools

LLM platforms

Docker

Kubernetes

CI/CD

MLOps tooling

Job description

Macrohire seeks an Associate Director of Gen AI & Agentic AI Architect to lead enterprise AI transformations for strategic clients. You will shape long-term AI roadmaps, drive governance, and foster executive relationships, guiding multi-year programs across onshore and offshore teams.

You will develop repeatable offerings, reference architectures, and IP, while overseeing delivery quality, risk, and commercial success in a fast-evolving AI landscape.