Director, AI Research

The Director of AI Research & Advisory is responsible for delivering Info-Tech’s research projects and advisory services to members in the domains of AI Strategy, Agentic AI Prototyping and Development, Workflow Orchestration, Solution Implementation & Integration. The successful candidate will provide research and experience-based insight and guidance, helping IT leaders drive measurable results in their organizations. The incumbent will maintain an active pulse on the needs of clients, who we refer to as Members, located globally. They will also need to stay current on industry developments to enable the delivery of exceptional service via calls and workshops in collaboration with others across our Research Division and organization. This individual will work closely with Members to design, develop, prototype, scale and optimize AI Agents and other practical AI solutions. This includes data-driven analysis, agent engineering, LLM workflows, prototype buildouts, and hackathons. In addition, this role will actively support internal experimentation and agent development to accelerate how Info-Tech uses AI in its own service delivery. 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: Facilitate Workshops Using Info-Tech’s research to facilitate a series of activities with Members and their teams. Collaborate on the development and iteration of functional AI agents, tools, and services as part of facilitated engagements. Throughout the workshop, collecting activity outputs from participants and compiling them into a polished final deliverable for the Member at the end of the engagement. Advisory Calls with Clients Leading calls with Members to provide an overview of Info-Tech’s published research. Listening to the information provided by Members and recommending ways they can use the research to work through a challenge or project. Assist to scope member concerns and direct them to relevant research as well as identify gaps in research products. Engage directly with Members to co-create and troubleshoot technical AI artifacts (e.g., agent architectures, data pipelines, LLM prompts and flows). Research Contribute to development of practical, hands‑on AI resources—including agent blueprints, working prototypes, datasets, evaluation models, and workflow templates. Interviewing Subject Matter Experts, finding and reading relevant literature in your assigned topic, and using the information gathered to generate insights. Cultivating insights into a framework or methodology and building supporting tools and resources for publish on our website and use by Info-Tech Members. Keep a pulse on what’s happening in the industry around your areas of expertise including upcoming trends and best practices, in part, to assist in your contribution of ideas to the research agenda. Contributing to Call Advisory, Workshops, and Global Services teams by training peers on published research. Provide subject matter expertise and feedback to other departments across the Research Division and to partnering Divisions outside of Research, like Sales, Public Relations & Marketing, etc., teams as needed. Design and build of high‑quality keynote/other presentations, and successful delivery of presentations as needed. Play a lead role in building internal AI capabilities at Info-Tech, including internal agent development, tool prototypes, and AI‑enhanced workflows. To be successful, you will need: Education and Experience Practical experience 5 - 8 years of total experience with 2-3 years of AI/ML hands‑on experience within an ML Ops team, Experience Developing AI Agents. Presentation and facilitation experience demonstrated through prior client‑facing engagements, facilitating Hackathons, and/or learning programs for Technical Teams important. History of gaining and maintaining trusted advisor status with management. Strong working relationships with C‑suite considered beneficial. Certifications in Artificial Intelligence, Machine Learning, or other related IT or management consulting disciplines considered valuable. Language Skills: Bilingual proficiency in French, Spanish or German is strongly 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. #J-18808-Ljbffr