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 Strategy- Collaborate with strategic clients to identify where AI and data can drive meaningful action - not just generate insights
- Translate client business challenges into technical approaches that are both rigorous and achievable
- Serve as a trusted advisor who can simplify complex AI concepts for non-technical stakeholders
Technical Leadership & Delivery- Provide hands-on technical direction for generative AI projects, including architecture decisions and solution design
- Apply expertise in LLMs, data science, and object-oriented programming to guide delivery from prototype to production
- Leverage 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 ecosystem
Team Leadership & Mentorship- Lead and develop a cross-functional team of data scientists, AI engineers, and software engineers
- Set clear expectations, support career growth, and build a team culture oriented around craft and client outcomes
- Model the technical and communication standards you expect from the team
Cross-Functional Collaboration- Drive alignment across AI, analytics, strategy, and engineering disciplines within OneMagnify
- Partner with delivery and operations teams to ensure AI workstreams integrate cleanly into broader project execution
- Represent the AI practice in client-facing settings alongside strategy and creative counterparts
Practice Development- Stay current on the evolving AI landscape - new models, platforms, tools, and use cases - and bring relevant developments into client conversations and internal delivery
- Contribute to OneMagnify's point of view on AI-enabled solutions and how the practice continues to grow
What You'll Need- Bachelor's degree in computer science, data science, engineering, or a related field; Master's degree preferred
- 6+ 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 communication
- Hands-on experience with LLMs, generative AI, and object-oriented programming
- Proficiency in Python, R, and SQL
- Hands-on experience with Databricks, including MLflow, Delta Lake, Unity Catalog, or Databricks-native model serving
- Working knowledge of MLOps practices - model versioning, monitoring, retraining pipelines, and scaling models in production environments
- Exposure to cloud-based ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI
- Comfortable presenting complex technical work to non-technical clients and executive stakeholders
Future-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 context
- Experience in a digital services, consulting, or agency environment where AI work is delivered alongside strategy and creative disciplines
BenefitsWe 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.
