Agentic AI Developer (Client Facing)

*Position Purpose** 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 EngagementsLead Info-Tech's Agentic AI Design & Prototyping workshops with member organizationsGuide participants through the full, end-to-end process:Identifying high-value use casesDesigning agent roles, workflows, and orchestration patternsRapidly building and iterating functional AI agent prototypesFacilitate hands-on build sessions and hackathons that move teams from concept to demo-ready solutionsCollaborate directly with member teams to co-create and refine AI artifacts during live engagementsCapture workshop outputs and translate them into clear, practical deliverables members can take forward*Build & Prototype AI SystemsRapidly prototype AI agents, LLM workflows, and intelligent automations using modern AI stacksExperiment with agent frameworks, orchestration approaches, evaluation techniques, and toolingTroubleshoot, refine, and evolve prototypes in real time with member teamsContribute 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 patternsWorkflow templates and prototype examplesEvaluation models and implementation guidanceStay current on emerging AI and agentic development practicesTranslate hands-on experience and industry trends into usable research and frameworks for members*Advisory & Larger EngagementsProvide advisory support to members as they move from prototype to broader implementationHelp organizations make informed decisions about:AI architecture and toolingAgent deployment and scalingGovernance, risk, and operational considerationsLead advisory calls with senior IT and digital leaders, translating complex AI concepts into practical guidance*Cross-Functional Collaboration & Internal EnablementPartner with Research, Advisory, Sales, Marketing, and Delivery teams to support AI-related initiativesTrain peers on published AI research and emerging practicesDesign and deliver high-quality presentations, workshops, and internal learning sessions as needed*To Be Successful, You Will Need*Experience & Technical Depth5–8 years of hands-on technical experience, including 2–3+ years building, prototyping, or operationalizing AI/ML systemsPractical experience designing and developing AI agents, including orchestration, prompting strategies, tool use, and workflow integrationExperience working in or alongside ML Ops or AI delivery teams, with an understanding of how AI systems move from prototype to production.*AI & Engineering ToolkitHands-on experience with modern AI development tools and platforms, including:Programming: Python, JavaScriptAgent & LLM frameworks: LangChain, PyTorch (or equivalent)AI platforms & APIs: OpenAI SDK or similar foundation model toolingDev tools: Git, DockerCloud platforms: AWS and/or AzureComfortable rapidly building