Manager, Artificial Intelligence

You'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.

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

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

We 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.