Booz Allen

Healthcare

AI/MLSoftwareEngineer

$69–69k Washington, District of Columbia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“AI/ML Software Engineer at Booz Allen. Skills: AI/ML, Software Engineering, Cloud Platforms, LLM Integration. Deploy AI models. Deploy AI services”

What You'll Achieve.

Accelerate better health outcomes; Support development of high-impact solutions; Meet performance benchmarks

Industry & Context.

Healthcare
Problems you'll solve

Problem-solving; Optimize models; Troubleshooting

Eligibility Requirements

25% travel

What They're Looking For.

Must Have

5+ years experience production code, Implement CI/CD pipelines, Python experience, TensorFlow experience, PyTorch experience, Neural network architecture experience, Transformers experience, NLP techniques experience, LLM tool calling experience, Agentic orchestration experience, Large datasets experience, Data pipelining experience, ETL processes experience, Cloud platforms experience, Deploy ML models experience, Software engineering fundamentals, Version control experience, Testing experience, CI/CD experience, Design efficient algorithms, Optimize models hyperparameter tuning, 25% travel, Master's degree

Nice to Have

Produce technical documentation, Present technical documentation, Fast-paced environment experience, Dynamic environment experience, R&D environment experience

What You'll Do.

Extend agentic capabilities

Communicate technical concepts

Communicate project progress

Optimize model performance

Monitor deployed models

Maintain deployed models

Ensure reliable performance

Meet performance benchmarks

Follow best practices

Maintain technical documentation

Support knowledge sharing

Support project handovers

Advise program leadership

Support software engineering

Ensure program-wide architecture

Ensure rigorous AI development

Ensure long-term impact

How You'll Work.

Team & Collaboration

Cross-functional teams; Data scientists; Researchers; Other engineers; Senior decision makers; Colleagues; Clients

Communication Scope

Technical concepts; Project progress; Non-technical stakeholders; Team members; Findings; Recommendations

Process & Methodology

CI/CD pipelines, Continuous integration, Continuous deployment

Full Job Description

AI/ML Software Engineer **The Opportunity** : To achieve an organization’s mission, leaders need strong team members who can create and analyze processes, communicate requirements, and develop innovative solutions throughout the execution of the mission. Whether reviewing program-wide technical architecture or providing AI/ML expertise, our clients need someone who combines deep technical understanding of software engineering with strong architectural judgment. That is why we need you, an experienced AI/ML Software Engineer who can operate at a system-of-systems level to support clients in advancing AI-enabled systems within an R&D environment. As part of our team, you'll serve as a strategic technical advisor to the Advanced Research Projects Agency for Health (ARPA-H), helping conceptualize, create, and execute advanced government-funded R&D programs to accelerate better health outcomes for everyone. You’ll work with world-class scientists and engineers to support the development of high-impact solutions to society's most challenging health problems. You’ll leverage technical expertise to provide strategic assessments of new technologies in support to senior ARPA-H decision makers. You’ll maintain responsibility for producing and presenting findings and recommendations to a team of colleagues and clients on the feasibility and potential impact of future research programs, assisting with the management of current programs, and facilitating commercialization of successfully developed technologies. You'll serve as an AI/ML Software Engineer advising program leadership and supporting software engineering to support the client mission. You will support clients in ensuring that program-wide technical architecture and engineering to rigorous AI development, evaluation, and long-term impact. Your attention to detail, flexibility, communication skills, understanding of the client's mission, and problem-solving will enable the mission's success. **What You’ll Work On:** * D

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