Director — Gen AI & Agentic AI Architect

MacroHire; United States; Hybrid; USD 280.000 - 420.000; Vollzeit

Zusammenfassung

Macrohire is seeking a Director — Gen AI & Agentic AI Architect to lead enterprise Generative AI programs, advise CXO-level clients, and drive multi-year AI transformation across a portfolio of strategic accounts. The role requires strategic, technical, and commercial leadership, and responsibility for governance, repeated offerings, and IP creation.

The ideal candidate will own AI strategy, architecture, and delivery at scale, guiding executive stakeholders, shaping revenue growth, and leading

Jobbeschreibung

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: 18–22 years

Location: Remote or Hybrid — Multiple locations across North America

Role Summary

We are seeking a 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.