Lead AI Engineer - Data Science and Algorithms

Maximusis currently seeking aLead AI Engineer - Data Science and Algorithms.

We have an exciting opportunity for a Lead AI Engineer to join the Maximus AI Transformation and Experience team, building and refining AI capabilities and algorithms used across the enterprise and the government programs we support. We are looking for an experienced AI engineer and Data Scientist who has built real algorithms with real data on real systems, shipped them to production, and learned what it takes to keep them running there.

This is a hands‑on individual contributor role where you will spend most of your time designing, building, testing, deploying, and improving algorithms. AI and machine learning are important parts of the solutions we build and we’re looking for someone who enjoys right sizing algorithms for the problems at hand while squeezing every last ounce of performance out of our solutions.

You will work alongside talented engineers and technical specialists on challenging problems where experimentation, engineering judgment, and pragmatic decision‑making matter. The work has meaningful impact, improving how Maximus employees do their jobs and the experiences of the citizens who rely on the government services we help deliver.

This is a remote position.

• Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation. Lead the use of applied mathematical analyses to provide solutions.

• Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast‑paced situations.

• Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.

• Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.

• Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.

• Design, build, and improve production AI solutions.

• Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.

• Write high‑quality software and contribute directly to custom enterprise capabilities.

• Build AI‑enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.

• Improve AI solutions by incorporating holistic algorithmic improvements.

• Evaluate emerging AI technologies through hands‑on experimentation and determine where they can provide practical value in production.

• Build reusable components, libraries, patterns, and reference implementations that enable other teams to deliver AI‑based capabilities.

• Mentor other staff through solutioning of custom algorithms and solution enhancements.

'- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.

• Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.

• 7+ years of professional advanced algorithm building and data science experience, including substantial…