Booz Allen Hamilton ir vadības un tehnoloģiju konsultāciju uzņēmums, kas sniedz valdības un komerciālajiem klientiem progresīvas tehniskās un stratēģiskās zināšanas. Uzņēmuma darbība aptver nacionālo drošību, aizsardzību, izlūkošanu, civilo pārvaldi un kritisko infrastruktūru. Tas apvieno komandas, kas specializējas mākslīgajā intelektā, kiberdrošībā, mākoņdatošanā, digitālajā pārveidē, inženierijā, kā arī misiju un operāciju atbalstā. Uzņēmums īpaši pievēršas sarežģītiem un augstu drošības līmeni prasošiem izaicinājumiem militārajām, izlūkošanas un federālajām iestādēm, kā arī atsevišķiem komerciālajiem sektoriem.
Artificial Intelligence Software Engineer
Build end-to-end AI and machine learning solutions for government and mission-critical systems at Booz Allen Hamilton. Develop full-stack applications, DevSecOps pipelines, and digital engineering capabilities.
Apraksts
- Develop and deliver end-to-end AI and machine learning solutions.
- Create user-centered tools that improve organizational efficiency and support decision-making.
- Upgrade digital engineering capabilities powered by AI.
- Account for the wider ecosystem, operating environment, future functionality, and planned enhancements in solution design.
- Use advanced principles, theories, and concepts to develop innovative solutions.
- Expand expertise in LLM frameworks, DevSecOps, and full-stack development.
- Design, adapt, develop, write, and implement software applications using approaches such as Agile.
- Create and maintain CI/CD pipelines with DevSecOps tools such as GitHub Actions.
- Contribute to identity verification using advanced biometrics and artificial intelligence.
- Work with colleagues and customers as the role requires.
Prasības
- Experience designing, modifying, developing, writing, and implementing software applications using approaches such as Agile.
- Experience working with full-stack LLM solutions.
- Experience with LLM inference engines.
- Experience using Cursor or other AI-assisted coding tools.
- Experience with full-stack development, including RESTful APIs, Node.js, JavaScript, or React.
- Knowledge of Agile methods and DevSecOps tools such as GitHub Actions.
- Ability to obtain a Secret clearance.
- Bachelor’s degree.
- Selected applicants will undergo a security investigation and may need to meet eligibility requirements for access to classified information.
- Experience implementing and using Model Context Protocol (MCP) in software or digital engineering projects.
- Experience conducting systems engineering analysis for government or mission-critical systems, including the DoW.
- Experience with Model-Based Systems Engineering (MBSE) tools such as Cameo, MagicDraw, SparxEA, DOORS, and IBM Rhapsody.
- Experience developing MagicDraw plug-ins and administering Teamwork Cloud.
- Experience with MATLAB, STK, ModelCenter, or TeamCenter.
- Experience with AWS, Azure, or GCP.
- Experience testing software products and performing QA/QC.
- Experience with LLM inference engines such as vLLM and llama.cpp.
- A master’s degree is preferred.
- Industry certifications such as OCSMP, ASEP, GCP, Azure, AWS, or Security+ are preferred.
- AI tools may not be used to assist with interview responses unless explicitly permitted.
Priekšrocības
- Health coverage.
- Life insurance.
- Disability coverage.
- Financial benefits.
- Retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards program.
- Identity verification and fraud-prevention process.
- Camera-on expectation during interviews and assessments.
- Full-time employees who regularly work at least 20 hours per week are eligible for benefits.