Note: The job is a remote job and is open to candidates in USA. The employer is seeking an AI/ML engineering professional to support national security and mission-support operations. The role trains, tests, deploys, and maintains machine learning models and agentic applications on AWS while developing secure AI-enabled decision-support and workflow-automation solutions.
Responsibilities
- Train, test, deploy, and maintain machine learning models and agentic applications that learn from data, retrieve governed knowledge, interact with approved tools and services, and support human decision-making
- Own and help define the direction of mission-critical solutions by applying best-fit ML algorithms, foundation models, retrieval architectures, and agent orchestration patterns
- Collaborate with data engineers, data scientists, software engineers, cloud and DevSecOps engineers, solutions architects, product owners, and mission subject matter experts to deliver secure AWS-based capabilities that process structured and unstructured data, automate complex workflows, and produce traceable outputs
- Guide clients as they navigate the landscape of AI / ML algorithms, tools, frameworks, evaluation methods, and production deployment patterns
- Solve real-world challenges and define AI / ML strategy for national defense mission-support operations
Skills
- 2+ years of experience with AI / ML engineering, data science, sof tware engineering, data engineering, or cloud engineering
- Experience developing AI / ML applications using Python
- Experience developing agentic AI or large language model applications, retrieval-augmented generation systems, or predictive machine learning models
- Experience integrating AI / ML capabilities with APIs, data stores, cloud services, or enterprise applications
- Experience developing, deploying, or supporting applications on AWS
- Knowledge of AI / ML evaluation met hods for model quality, retrieval relevance, task success, latency, cost, or system performance
- Knowledge of sof tware engineering and DevSecOps practices, including version control, automated testing, CI / CD, containerization, and infrastructure as code
- Ability to translate operational needs into testable technical requirements and collaborate with multidisciplinary engineering and mission teams
- Ability to obtain a Secret clearance
- Bachelor's degree
- Experience developing agentic AI applications using AWS Strands Agents, LangGraph, LangChain, LlamaIndex, or comparable frameworks
- Experience with Amazon Bedrock, Amazon SageMaker AI, Amazon OpenSearch Service, Knowledge Bases for Amazon Bedrock, Amazon Bedrock Guardrails, or related AWS AI / ML services
- Experience implementing retrieval-augmented generation, embeddings, vector search, reranking, knowledge graphs, Model Context Protocol, Agent-to-Agent communication, or structured tool-calling integrations
- Experience developing Python APIs, microservices, or durable workflows using FastAPI, Pydantic, OpenAPI, Temporal, AWS Step Functions, Amazon EventBridge, or comparable technologies
- Experience with Docker, Kubernetes, Amazon EKS, Amazon ECS, Terraform, AWS CloudFormation, AWS CDK, or CI / CD automation
- Experience with MLOps or LLMOps, including automated evaluation, prompt or model versioning, observability, tracing, drift monitoring, or rollback controls
- Experience supporting AWS GovCloud, FedRAMP High, DoD Impact Level 4 or 5, or another regulated or high-assurance cloud environment
- Experience with computer vision, multimodal AI, geospatial analytics, graph neural networks, temporal or dynamic graph networks, network science, or so cia l network analysis
- Secret clearance
- AWS AI / ML, Sof tware Development, Architecture, DevOps, Cloud Operations, or Security Certification or CompTIA Security+ Certification
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards for exceptional performance and superior demonstration of company values
- Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs
- Remote work arrangement
Company Overview