Product Software Engineer

The Opportunity:
At Booz Allen Hamilton we are pushing the boundaries of innovation through our emerging product business. We are seeking a Senior Software and AI Engineer to join our internal product engineering team on a transformative AI-driven cybersecurity product.
 
This product automates critical cybersecurity workflows that traditionally require months of manual effort by expert security teams — leveraging agentic AI to analyze complex security environments, identify threats, and generate actionable defensive content at unprecedented scale. You'll be building the intelligent systems that make this possible.
 
This role is for a senior engineer who thrives at the intersection of AI, cybersecurity, and cloud-native development — someone who can design and deliver autonomous, intelligent workflows that turn security data into real defensive capability. You'll collaborate with a dynamic team of engineers, product managers, and cybersecurity domain experts to build a scalable, high-impact solution that empowers our clients and sets new standards in the industry. Due to the nature of work performed within this facility, U.S. citizenship is required.
  
What you'll work on:

• Design and implement AI-powered analysis capabilities using large language models for automated security analysis, threat attribution, and defensive content generation
• Build and extend agentic AI workflows that orchestrate multi-stage analysis pipelines — from data ingestion through intelligent processing, quality review, and output delivery
• Develop and maintain serverless backend services, such as Python, AWS Lambda, DynamoDB, S3, API Gateway, or Step Functions, following specification-driven development practices
• Contribute to the React frontend including interactive dashboards, data management interfaces, and integration configuration experiences
• Build and enhance API adapters and connectors for enterprise security tools and version control platforms
• Implement human-in-the-loop feedback systems that learn from expert modifications to continuously improve AI-generated outputs
• Partner with product managers, designers, and cybersecurity domain experts to translate complex security requirements into scalable, production-ready features
• Work with cross-functional teams, providing technical expertise and fostering a culture of innovation and excellence

 
Join us. The world can't wait.

You Have:

• 5+ years of experience in software engineering, including product development in a commercially focused environment
• Experience with Python for backend development in production systems
• Experience building serverless or cloud-native applications on AWS, such as Lambda, Step Functions, DynamoDB, S3, or API Gateway
• Experience with AI/LLM integration, including prompt engineering, agentic workflows, or AI-powered automation such as Amazon Bedrock or OpenAI
• Experience with modern frontend frameworks, such as React, for building data-rich web applications
• Experience with Infrastructure as Code, including AWS SAM, CloudFormation, Terraform, or CDK
• Experience delivering AI-driven products using Agile methodologies and managing the product lifecycle
• Knowledge of RESTful API design and event-driven architectures
• Bachelor's degree and 5+ years of experience in software engineering, or 7+ years of experience in software engineering in lieu of a degree

 
Nice If You Have:

• 7+ years of experience building and operating production-grade full-stack applications in cloud environments
• Experience in cybersecurity, detection engineering, threat intelligence, or security operations
• Experience with security frameworks such as MITRE ATT&CK, NIST 800-53, or SOC 2
• Experience with SIEM platforms, such as Splunk, Elastic, Microsoft Sentinel, or LogRhythm, or security tool integrations
• Experience with Amazon Bedrock and Anthropic Claude models
• Experience with multi-tenant product development and profile-based data isolation patterns
• Experience with GitHub or GitLab API integrations and CI/CD pipeline development
• Experience with specification-driven development, formal traceability, and compliance-oriented engineering practices
• Experience creating novel solutions or IP that have driven measurable market impact
• Master's degree in Computer Science, Cybersecurity, Artificial Intelligence, or a related field

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.