Lead AI Systems Engineer — Remote Production-Ready

Maximus; Carson City (NV); À distance; USD 180 000 - 200 000; Plein temps

Résumé du poste

Maximus is seeking a Lead AI Systems Engineer to join the AI Transformation and Experience team. You will design, build, deploy, and operate production AI software while mentoring engineers and shaping robust, scalable systems across government programs.

This remote role requires deep expertise in Python and cloud architectures, hands-on production experience, and the ability to translate complex AI concepts into reliable software.

Qualifications

• 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
• 3+ years of experience with artificial intelligence, machine learning, or related technologies.
• 5+ years of experience designing or building solutions in cloud environments.
• Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
• Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
• Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
• Experience with automated testing, CI/CD, infrastructure automation, and observability.
• Experience building or integrating AI/ML capabilities into software systems or demonstrated ability to quickly learn and apply emerging technologies.
• Ability to communicate technical decisions, tradeoffs, and risks clearly with technical and non-technical colleagues.
• US Citizenship required.
• Must have the ability to obtain a Public Trust.

Responsabilités

• Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
• Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
• Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
• Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
• Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team‑level development practices.
• Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
• Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
• Write high‑quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
• Build AI‑enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
• Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
• 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 help other teams deliver better software.
• Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.

Connaissances

Python

Distributed systems

AI/ML

CI/CD

Security

Observability

Mentoring

Formation

Bachelor's degree in a relevant field

Outils

AWS

Azure

GCP

CI/CD tooling

Description du poste

Maximus is seeking a Lead AI Systems Engineer to join the AI Transformation and Experience team. You will design, build, deploy, and operate production AI software while mentoring engineers and shaping robust, scalable systems across government programs.

This remote role requires deep expertise in Python and cloud architectures, hands-on production experience, and the ability to translate complex AI concepts into reliable software.