Director, Agentic AI Implementation (Toronto)

Director, Agentic AI Implementation (Toronto)

19 Apr
|
Info-Tech Research
|
Toronto

19 Apr

Info-Tech Research

Toronto

Info-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. You will lead Agentic AI Design & Prototyping workshops, working directly with member organizations to design end‑to‑end agentic workflows, build functional AI prototypes, and facilitate collaborative build sessions and hackathons. You will also develop new AI research and advise members as they scale and implement AI systems.

Over time, this role will expand into larger AI engagements, deeper implementation work, and ongoing advisory as our AI offerings mature. We’re looking for someone who wants to grow with practice and help shape its future direction.

If you’re energized by building AI systems, experimenting quickly, and collaborating closely with organizations and teammates to turn ideas into working solutions, this role was built for you.

Our promise to you You will work for a rapidly growing company that understands the importance of supporting employees through flexibility, inclusiveness, learning and development, internal career mobility, measurement of the Employee Experience and actioning on employee feedback and building strong relationships.

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 explicit, 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.

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

Info-Tech Research Group of companies is an equal opportunity employer committed to diversity and inclusion and does not discriminate on the basis of any legally protected status or characteristic including Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran and are pleased to consider all qualified applicants. To that end, upon request, ITRG will ensure, to the extent possible, that accommodation be made available to applicants throughout the recruitment and hiring process.

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📌 Director, Agentic AI Implementation (Toronto)
🏢 Info-Tech Research
📍 Toronto

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