Senior AI/ML Engineer
$99k - $225kBooz Allen Hamilton
Job Number: R0242678 AI/ML Engineer, Senior
The Opportunity:
As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision-making across the national security ecosystem. You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern sof tware engineering practices, consistent with the company's AI / ML engineering role definitions. You will partner closely with cross-functional engineering, mission SMEs, and product teams to deliver production-grade systems aligned with Booz Allen's AI modernization approaches. What You'll Work On:
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
The Opportunity:
As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision-making across the national security ecosystem. You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern sof tware engineering practices, consistent with the company's AI / ML engineering role definitions. You will partner closely with cross-functional engineering, mission SMEs, and product teams to deliver production-grade systems aligned with Booz Allen's AI modernization approaches. What You'll Work On:
- Design, develop, and implement AI / ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements.
- Build and optimize scalable data pipelines to support training, evaluation, and continuous improvement of models.
- Develop end-to-end production systems, including microservices, APIs, automation frameworks, and cloud-native or edge-deployed AI services.
- Integrate AI / ML capabilities into operational environments with attention to security, reliability, observability, and performance.
- Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.
- Apply modern sof tware engineering patterns, including Python, Java, Scala, and Rus t, microservices, and distributed systems, as consistent with Booz Allen's AI / ML engineering frameworks.
- Collaborate with multi-disciplinary teams to identify mission needs, gather requirements, and define technical approaches.
- Prepare technical documentation, contribute to design reviews, and support customer-driven requirements.
- 5+ years of experience developing ML models such as NLP or LLM, CV, deep learning, generative AI, or reinforcement learning
- 5+ years of experience developing AI / ML capabilities to operate in a microservice stack
- Experience developing or maintaining production-grade APIs, microservices, or distributed systems
- Experience with data processing frameworks and scientific computing libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn
- Experience designing, configuring, or deploying sof tware systems in operational environments
- Experience with CI / CD tooling, source control such as GitLab, and containerization technologies such as Docker, Podman, or Kubernetes
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor's degree in a STEM field
- Experience in GPU programming, including CUDA or RAPIDs
- Experience with AWS and containerization of models in a classified environment
- Experience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows
- Experience with MLOps platforms, distributed training, or hybrid cloud environments such as AWS, Azure, and Google Cloud Platform
- Experience with automated testing tools and model evaluation frameworks
- Master's degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field
- AI / ML, Cloud, or Solution Architecture Industry Certification s
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
- Onsite : If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Vacancy posted 7 hours ago
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