AI/ML Engineer, Senior

Job Number: R0246859 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 decisionmaking across the national security ecosystem. You will contribute endtoend, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. Your work will leverage deep experience with MLbased 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 crossfunctional engineering, mission SMEs, and product teams to deliver productiongrade systems aligned with Booz Allen's AI modernization approaches. What You'll Work On: - Design, develop, and implement AI/ML models, including NLP, LLMbased 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 endtoend production systems, including microservices, APIs, automation frameworks, and cloudnative or edgedeployed 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 software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems, as consistent with Booz Allen's AI/ML engineering frameworks. - Collaborate with multidisciplinary teams to identify mission needs, gather requirements, and define technical approaches. - Prepare technical documentation, contribute to design reviews, and support customer-driven requirements. Join us. The world can't wait. You Have: - 5+ years of experience developing ML models such as NLP or LLM, CV, deep learning, generative AI, or reinforcement learning - Experience developing AI/ML capabilities to operate in a microservice stack - Experience developing or maintaining productiongrade APIs, microservices, or distributed systems - Experience with data processing frameworks and scientific computing libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikitlearn - Experience designing, configuring, or deploying software systems in operational environments - Active TS/SCI clearance; willingness to take a polygraph exam - Bachelor's degreein a STEM field Nice If You Have: - Experiencein GPU programming, including CUDA or RAPIDs - ExperiencewithAWS 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 GCP - Experience with automated testing tools and model evaluation frameworks - Experience with CI/CD tooling, source control such as GitLab, and containerization technologies such as Docker, Podman, or Kubernetes - Master's degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field - AI/ML, Cloud, or Solution Architecture Industry Certifications Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classifie