Build AI systems that actually survive the real world. This role sits in the Maximus AI Accelerator, focused on architecting and delivering production-grade AI and ML solutions that scale securely, stay compliant, and drive measurable outcomes across the enterprise.
About Maximus
Maximus delivers technology-enabled services to public-sector and enterprise clients. The AI Accelerator team supports enterprise-wide initiatives and helps shape solutions for new and existing programs through delivery and capture solutioning.
Schedule
- Full-time, remote (United States)
- U.S. citizenship required (government contract requirement)
What You’ll Do
- Design and develop advanced AI software applications built for scalability, performance, and enterprise integration
- Architect and optimize secure, resilient AI systems and deploy models into production using MLOps best practices
- Develop descriptive, diagnostic, predictive, and prescriptive algorithms and insights
- Translate complex specifications into clean, maintainable code while mentoring junior engineers and shaping team practices
- Build responsible AI/ML solutions by selecting the right tools, processes, automation, and tech stack for each use case
- Contribute to enterprise solutioning across Computer Vision, NLP, LLMs, deep learning, and classical ML
- Create and promote playbooks, best practices, lessons learned, and reusable technical IP
- Stay current on the AI landscape and evaluate emerging tech for production readiness
What You Need
- Bachelor’s degree in a relevant field (or equivalent experience)
- 7+ years of software development experience
- 3+ years of AI/ML experience
- 4+ years of cloud solutioning experience
- Professional programming experience (Python strongly referenced)
- Proficiency in software engineering, DevOps, and modern development methodologies
- Experience with API programming and Linux
- Experience working collaboratively as a contributor on technical teams
Preferred Skills
- Deep learning architecture experience and strong ML engineering judgment
- Hands-on experience with TensorFlow, PyTorch, and Pandas
- Experience building reference implementations and production AI pipelines
- Ability to scope customer needs, identify gaps in off-the-shelf tools, and build custom solutions
- CI/CD, DevSecOps, Agile experience
- Cloud certifications (AWS, Azure, or GCP)
- Familiarity using multiple languages (Python/Java) and front-end frameworks for POC demos or dashboards
Benefits
- Health insurance coverage
- Retirement savings plan
- Paid holidays and paid time off
- Life and disability insurance
- Additional incentives may apply based on program/role
This one is a legit “builder-leader” lane: you’re expected to code, ship, and guide. If you don’t like being accountable for production reality, it’ll chew you up. If you do, it’s a strong platform.
Happy Hunting,
~Two Chicks…