Manager, Artificial Intelligence
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Job Description
Manager of Artificial Intelligence leading technical delivery while collaborating with clients to unlock data value at OneMagnify. Guiding a team of data scientists and engineers towards integrated AI solutions.
Responsibilities:
- 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
- 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
- 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
- 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
- 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
Requirements:
- 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
- Experience with agentic AI frameworks or orchestration tools (e.g., LangChain, AutoGen, or similar) is a nice to have
- 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
Benefits:
- medical, dental, and vision coverage
- a 401(k) retirement plan
- paid holidays
- Flexible Time Off (FTO) so you can take time away to recharge when you need it
- additional programs focused on wellness, financial security, and professional growth
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