Manager, Artificial Intelligence

OneMagnify

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.

Posted 5/24/2026full-timeRemote • Missouri • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQLUnity

About the role

Key responsibilities & impact

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

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
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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AIdata sciencemachine learningobject-oriented programmingLLMsgenerative AImodel deploymentfeature engineeringMLOpsprompt engineering

Soft Skills

communicationteam leadershipclient engagementcollaborationproblem-solvingmentorshipstrategic thinkingsimplifying complex conceptscareer developmentcultural building

Certifications

Bachelor's degree in computer scienceBachelor's degree in data scienceBachelor's degree in engineeringMaster's degree in related field