Jobs · Management

Director, Agentic AI Implementation

Info-Tech Research Group · United States · 2 wk ago
RemoteRemoteManagementFull-time

Position Purpose

Position PurposeInfo-Tech is expanding its Applied AI practice to help organizations move from AI ambition to real, working AI systems, starting with agentic AI design, rapid prototyping and extending into implementation and optimization. This role combines hands-on delivery, applied research, and client advisory.

What You Will Do, Includes, But Not Limited To

  • Deliver Agentic AI Workshops & Prototyping Engagements
  • Lead Info-Tech’s Agentic AI Design & Prototyping workshops with member organizations
  • Guide participants through the full, end-to-end process:
    • Identifying high-value use cases
    • Designing agent roles, workflows, and orchestration patterns
    • Rapidly building and iterating functional AI agent prototypes
    • Facilitate hands-on build sessions and hackathons that move teams from concept to demo-ready solutions
    • Collaborate directly with member teams to co-create and refine AI artifacts during live engagements
    • Capture workshop outputs and translate them into clear, practical deliverables members can take forward
  • Build & Prototype AI Systems
  • Rapidly prototype AI agents, LLM workflows, and intelligent automations using modern AI stacks
  • Experiment with agent frameworks, orchestration approaches, evaluation techniques, and tooling
  • Troubleshoot, refine, and evolve prototypes in real time with member teams
  • Contribute to internal agent development and experimentation to improve how Info-Tech uses AI in its own service delivery

Research & Thought Leadership (Applied and Practical)

  • Contribute to the development of practical AI resources, including:
    • Agent blueprints and design patterns
    • Workflow templates and prototype examples
    • Evaluation models and implementation guidance
  • Stay current on emerging AI and agentic development practices
  • Translate hands-on experience and industry trends into usable research and frameworks for members

Advisory & Larger Engagements

  • Provide advisory support to members as they move from prototype to broader implementation
  • Help organizations make informed decisions about:
    • AI architecture and tooling
    • Agent deployment and scaling
    • Governance, risk, and operational considerations
  • Lead advisory calls with senior IT and digital leaders, translating complex AI concepts into practical guidance

Cross-Functional Collaboration & Internal Enablement

  • Partner with Research, Advisory, Sales, Marketing, and Delivery teams to support AI-related initiatives
  • Train peers on published AI research and emerging practices
  • Design and deliver high-quality presentations, workshops, and internal learning sessions as needed

To Be Successful, You Will Need

  • Experience & Technical Depth
    • 5–8 years of hands-on technical experience, including 2–3+ years building, prototyping, or operationalizing AI/ML systems
    • Practical experience designing and developing AI agents, including orchestration, prompting strategies, tool use, and workflow integration
    • Experience working in or alongside ML Ops or AI delivery teams, with an understanding of how AI systems move from prototype to production
  • AI & Engineering Toolkit
    • Hands-on experience with modern AI development tools and platforms, including:
      • Programming: Strong proficiency in Python and working knowledge of JavaScript
      • Agent & LLM frameworks: LangChain, PyTorch (or equivalent)
      • AI platforms & APIs: OpenAI SDK or similar foundation model tooling
      • Dev tools: Git, Docker
      • Cloud platforms: AWS and/or Azure
  • Comfortable rapidly building and iterating AI prototypes
  • Workshop, Facilitation & Advisory Skills
    • Experience facilitating hands-on technical workshops, hackathons, or build sessions
    • Strong client-facing presence, with the ability to engage both technical teams and senior leaders
    • Track record of building trusted advisor relationships with managers and stakeholders; experience with executive audiences is a strong asset

Education & Credentials

  • Undergraduate degree required; Computer Science or related technical degree preferred
  • Certifications in AI, ML, cloud platforms, or related disciplines are valued, but practical experience is the priority

Travel Requirement

Must be flexible and have ability to travel to deliver workshops onsite at client locations both within and outside of North America.

Visa Requirement

Must be eligible to obtain appropriate work Visa for cross-border work within North America and globally.

Work Hours Requirements

Must be available for after-hours work periodically to service APAC clients.

Language Skills

Bilingual proficiency in French, Spanish or German is preferred to support our diverse client base across North America and globally.

Skills & Attributes

  • Inclusion
  • Client Interaction and Facilitation
  • Public Speaking
  • Knowledge Application, Problem Solving & Decision Making
  • Project Management
  • Writing Ability
  • Business Development
  • Research
  • Managing Through Change & Uncertainty
  • Dynamic Learning Mindset

IITG is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, or any other legally protected factors.

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