Agentic AI Developer (Client Facing)
Info-Tech View all jobs
- Canada
- Permanent
- Full-time
- 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
- 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
- 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
- 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
- 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
- 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: Python, 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.
- 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.
- 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.
- 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