Job description

AWS AI Cloud Engineer The Opportunity: As an AWS AI Cloud Engineer, you can resolve a problem with a complete end-to-end GenAI solution in a fast, agile environment. If you’re looking for the chance to not just develop software, but to create a system that will make a difference, we need you on our team. We’re looking for an experienced developer like you with the skills needed to develop software and systems from vision to production ready. The position expects familiarity with cutting-edge GenAI technologies, with a focus on enterprise-scale optimizations and modernizations for an operational system. This role is more than just coding. As a software engineer at Booz Allen, you’ll use your passion to master new tools and techniques and identify needed system improvements. You’ll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You’ll make sure the solution developed by the team considers the architecture and operating environment, as well as future functionality and enhancements. Grow your skills at the leading edge of innovation. Work with us as we shape systems for the better. Join us. The world can’t wait. You Have: 5 years of experience with software, including cloud first development approach 2 years of experience with Generative AI technologies and LLM deployment 2 years of experience with AWS services and cloud-native architecture patterns, including ECS or EKS, Amazon Bedrock, CloudWatch, RDS, DynamoDB, IAM policies, security groups, and network security Experience working with containerization, including Docker, Kubernetes, ECS, or EKS, and container orchestration Experience with developing and deploying production geospatial applications from concept to Operations and Maintenance (O&M) Active TS/SCI clearance; willingness to take a polygraph exam Bachelor s degree Nice If You Have: Experience with Authority to Operate (ATO) processes and security documentation Experience with API management including batching, caching, throttling, and rate limiting Experience with LangGraph or LangChain Experience leading technical initiatives in large-scale environments Experience with system design, including scalability and reliability Knowledge of security best practices and compliance requirements TS/SCI clearance with a polygraph AWS Certifications such as AWS Certified Solutions Architect or AWS Certified Developer Certification IAT Level II Certification such as Security or CISSP Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our 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. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Requirements

Must-haves

Grow your skills at the leading edge of innovation. Work with us as we shape systems for the better.
Join us. The world can’t wait.
5 years of experience with software, including cloud first development approach
2 years of experience with Generative AI technologies and LLM deployment
2 years of experience with AWS services and cloud-native architecture patterns, including ECS or EKS, Amazon Bedrock, CloudWatch, RDS, DynamoDB, IAM policies, security groups, and network security
Experience working with containerization, including Docker, Kubernetes, ECS, or EKS, and container orchestration
Experience with developing and deploying production geospatial applications from concept to Operations and Maintenance (O&M)
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor s degree
Experience with Authority to Operate (ATO) processes and security documentation
Experience with API management including batching, caching, throttling, and rate limiting
Experience with LangGraph or LangChain
Experience leading technical initiatives in large-scale environments
Experience with system design, including scalability and reliability
Knowledge of security best practices and compliance requirements
TS/SCI clearance with a polygraph
AWS Certifications such as AWS Certified Solutions Architect or AWS Certified Developer Certification
IAT Level II Certification such as Security or CISSP Certification
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsaiagilellmdockerkubernetesapi

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

Professional Development