Associate Director — Gen AI & Agentic AI 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

We are hiring this role for our client which is multinational information technology services firm. Details mentioned below :

Director — Gen AI & Agentic AI Architect

Experience:

Location:

Role Summary

We are seeking a Associate Director — Gen AI & Agentic AI Architect to provide strategic, technical, and commercial leadership for enterprise Generative AI and Agentic AI programs across a portfolio of strategic client accounts. This role combines deep expertise in enterprise AI architecture with CXO advisory, portfolio growth, P&L ownership, practice development, thought leadership, and leadership of globally distributed teams.

The ideal candidate will serve as a trusted AI advisor and executive sponsor for clients, shape large-scale AI transformation programs, develop repeatable offerings and intellectual property, and contribute to our Gen AI strategy and market positioning.

Strategic Leadership and Client Engagement

• Own the Gen AI and Agentic AI strategy, roadmap, delivery, and business outcomes across a portfolio of strategic client accounts.
• Serve as an executive AI advisor to CXO-level stakeholders, translating emerging AI capabilities into business strategies, investment priorities, and measurable outcomes.
• Lead executive briefings, AI maturity assessments, design-thinking workshops, and transformation-roadmap engagements.
• Provide executive oversight for client satisfaction, delivery quality, escalations, and relationship health across the portfolio.
• Identify and drive cross-sell, upsell, and new-business opportunities that expand our AI footprint and revenue.
• Partner with Sales, Presales, Delivery, and industry leadership to shape large, multi-year AI transformation programs.

Enterprise AI Architecture and Technical Leadership

• Provide architectural leadership for enterprise-scale Generative AI, RAG, and multi-agent AI solutions, ensuring security, scalability, reliability, and performance.
• Define reference architectures, design patterns, technical standards, and governance frameworks for LLM-powered applications and agentic workflows.
• Guide the design of AI agents incorporating tool use, memory, structured outputs, multi-step reasoning, human-in-the-loop orchestration, and fault-tolerant recovery.
• Oversee integration with enterprise applications, APIs, data platforms, cloud infrastructure, identity systems, and security frameworks.
• Establish standards for AI evaluation, monitoring, observability, guardrails, governance, and responsible deployment across client programs.
• Evaluate emerging LLMs, SLMs, agentic frameworks, and orchestration approaches to guide technology selection and investment.
• Champion responsible AI practices covering privacy, explainability, bias mitigation, security, and regulatory compliance.

Practice Building and Commercial Leadership

• Own the development and productization of repeatable AI offerings, accelerators, reference architectures, reusable components, and demonstration environments.
• Define and evolve our Gen AI and Agentic AI service offerings in response to market trends and client demand.
• Lead strategic RFPs, RFIs, proposals, solutioning efforts, commercial models, and executive presentations for large-scale AI programs.
• Own or contribute directly to revenue, margin, utilization, pipeline, and growth targets across assigned accounts and offerings.
• Build alliances with cloud providers, technology partners, start-ups, academic institutions, and industry ecosystems.

Thought Leadership and Intellectual Property

• Develop research papers, whitepapers, technical publications, patents, and other intellectual property in Generative AI, Agentic AI, LLMOps, and enterprise AI.
• Represent us at industry conferences, AI forums, client summits, and analyst briefings.
• Support analyst relations and industry-ranking initiatives through market insights and subject-matter expertise.
• Build an external industry presence that strengthens our positioning in enterprise AI.

Team and Organizational Leadership

• Lead multiple teams of AI architects, engineers, data scientists, and delivery leaders across onshore and offshore locations.
• Develop senior technical leaders and establish succession, capability-building, and workforce plans for the AI practice.
• Oversee hiring pipelines, deployment readiness, and bench-strength planning.
• Establish a culture of innovation, accountability, technical excellence, and knowledge sharing.
• Serve as the senior escalation point for complex architectural, delivery, and commercial decisions.

Required Qualifications

• Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline, with 18–22 years of progressive experience in AI/ML architecture, consulting, and delivery leadership. A PhD is preferred.
• At least eight years of client-facing leadership experience, including experience at the Associate Director, Director, or equivalent level.
• Demonstrated experience leading multi-million-dollar AI programs and portfolios across multiple client accounts.
• Proven expertise architecting and delivering production-grade Generative AI, RAG, and Agentic AI solutions using LLMs, SLMs, and contemporary orchestration frameworks.
• Strong technical depth in Python, LLM APIs, prompt engineering, function calling, structured outputs, and agentic workflow design.
• Strong knowledge of embeddings, vector databases, reranking, hybrid search, retrieval architectures, and model-adaptation techniques such as SFT and LoRA/QLoRA.
• Experience with at least one major cloud platform—AWS, Azure, or GCP—and with containerization, CI/CD, MLOps, and LLMOps.
• Demonstrated experience leading RFPs, proposals, SOWs, solution designs, effort estimations, and commercial discussions for large AI programs.
• Experience owning or substantially influencing revenue, margin, pipeline, and account-growth objectives.
• Exceptional executive communication, storytelling, and stakeholder-management capabilities.
• Experience leading large, globally distributed teams, including senior architects and delivery leaders.

Preferred Qualifications

• Publications, patents, or significant open-source contributions in Generative AI, Agentic AI, NLP, or LLMOps.
• Recognized industry thought leadership through keynotes, panels, analyst engagement, or media contributions.
• Deep expertise in one or more industry verticals, such as Financial Services, Healthcare, Life Sciences, Retail, Manufacturing, or Technology.
• Experience with AgentOps, AI observability, model-evaluation frameworks, and enterprise AI governance platforms.
• Familiarity with responsible AI frameworks and regulations, including the NIST AI RMF and EU AI Act.
• Leadership experience within a global consulting, technology-services, or digital-transformation organization.
• An MBA or comparable business-management qualification in addition to technical credentials.