Remote Lead AI Engineer: Production ML & Algorithms

Maximus; Columbia (SC); Remote; USD 180,000 - 200,000; Full time

Job summary

Maximus seeks a Lead AI Engineer to advance production AI solutions across enterprise systems and government programs. This hands-on role combines data science, algorithms, and software engineering to design, build, test, deploy, and improve AI capabilities in production environments.

Expect collaboration with engineers and subject-matter experts to deliver real mission outcomes. The position is remote, demands 10+ years in relevant fields, and requires a U.S.

Qualifications

• Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience.
• 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
• 7+ years of professional Data Science or advanced algorithm building experience.
• 5+ years of experience designing or building solutions in cloud environments.
• 3+ years of experience with artificial intelligence, machine learning, or related technologies.
• Demonstrated experience developing algorithms including AI and machine learning algorithms.
• Strong understanding of the application of mathematics, AI, and signal processing in production algorithms.
• Experience designing and implementing algorithms on AWS, Azure, GCP, or similar cloud platforms.
• Experience with deploying algorithms on production systems outside of notebooks (e.g. outside sagemaker, jupyter).
• Experience building or integrating AI/ML capabilities into software systems.
• Ability to communicate technical decisions, tradeoffs, and risks clearly with technical and non‑technical colleagues.
• US Citizen and able to obtain a Public Trust.

Responsibilities

• 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 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.

Skills

Python

Systems programming

Distributed systems

Algorithm development

AI/ML models

Education

Bachelor's degree in a relevant field

Tools

AWS

Azure

GCP

Job description

Maximus seeks a Lead AI Engineer to advance production AI solutions across enterprise systems and government programs. This hands-on role combines data science, algorithms, and software engineering to design, build, test, deploy, and improve AI capabilities in production environments.

Expect collaboration with engineers and subject-matter experts to deliver real mission outcomes. The position is remote, demands 10+ years in relevant fields, and requires a U.S.