Manager, Artificial Intelligence

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.Role SummaryThe Manager of Artificial Intelligence sits at the center of OneMagnify's AI practice — leading technical delivery, guiding client strategy, and translating complex data into decisions that move the needle. You'll work directly with clients to help them unlock the value in their data, while managing and mentoring a team of data scientists, AI engineers, and software engineers. This role shapes both how we deliver AI solutions and how our clients experience them.The Impact You'll HaveYou'll be the connective tissue between what's technically possible and what clients actually need. That means pushing beyond theoretical AI capabilities to help organizations — many of them large, data-rich B2B enterprises — build practical systems that inform strategy, automate workflows, and create measurable business outcomes.On the delivery side, you'll lead generative AI projects that draw on the full breadth of OneMagnify's capabilities — connecting AI and data science work to broader digital strategy, analytics, and platform teams. The result isn't just a model or a tool; it's an integrated solution that fits how a client operates and scales as they grow.You'll also help keep OneMagnify's AI practice sharp. Staying current on emerging tools and approaches isn't background work here — it directly shapes what we bring to clients and how we evolve our service offering.What You'll DoClient Partnership & AI StrategyCollaborate with strategic clients to identify where AI and data can drive meaningful action — not just generate insightsTranslate client business challenges into technical approaches that are both rigorous and achievableServe as a trusted advisor who can simplify complex AI concepts for non-technical stakeholdersTechnical Leadership & DeliveryProvide hands-on technical direction for generative AI projects, including architecture decisions and solution designApply expertise in LLMs, data science, and object-oriented programming to guide delivery from prototype to productionLeverage tools like Databricks, Python, R, and SQL across the project lifecycle — including building and managing data pipelines, feature engineering, and model deployment within the Databricks ecosystemTeam Leadership & MentorshipLead and develop a cross-functional team of data scientists, AI engineers, and software engineersSet clear expectations, support career growth, and build a team culture oriented around craft and client outcomesModel the technical and communication standards you expect from the teamCross-Functional CollaborationDrive alignment across AI, analytics, strategy, and engineering disciplines within OneMagnifyPartner with delivery and operations teams to ensure AI workstreams integrate cleanly into broader project executionRepresent the AI practice in client-facing settings alongside strategy and creative counterpartsPractice DevelopmentStay current on the evolving AI landscape — new models, platforms, tools, and use cases — and bring relevant developments into client conversations and internal deliveryContribute to OneMagnify's point of view on AI-enabled solutions and how the practice continues to growWhat You'll NeedBachelor's degree in computer science, data science, engineering, or a related field; Master's degree preferred6+ years of experience in AI, data science, or ML engineering — with at least 2 years managing technical teams (data scientists, AI/ML engineers, or software engineers)Proven ability to take AI projects from conception through production, including architecture decisions, model deployment, and stakeholder communicationHands-on experience with LLMs, generative AI, and object-oriented programmingProficiency in Python, R, and SQLHands-on experience with Databricks, including MLflow, Delta Lake, Unity Catalog, or Databricks-native model servingWorking knowledge of MLOps practices — model versioning, monitoring, retraining pipelines, and scaling models in production environmentsExposure to cloud-based ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AIComfortable presenting complex technical work to non-technical clients and executive stakeholdersFuture-Ready Skills (Nice To Have)Experience with agentic AI frameworks or orchestration tools (e.g., LangChain, AutoGen, or similar)Familiarity with prompt engineering, LLM fine-tuning, or retrieval-augmented generation (RAG) in a production or client contextExperience in a digital services, consulting, or agency environment where AI work is delivered alongside strategy and creative disciplinesBenefitsWe believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.We are an equal opportunity employerWe believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.