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# Lead Artificial Intelligence Solutions Architect

- **Company:** Booz Allen Hamilton Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $99,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, C Sharp (Programming Language), Cloud Computing, Data Architecture, Data Integration, Data Migration, Relational Databases, Database Development, Distributed Data Store, Distributed Systems, Python (Programming Language), Query Optimization, Software Engineering, SQL Databases, Systems Integration, Enterprise Data Management, SC Clearance, Containerization, Data Pipelines, Devsecops, Programming Languages, Microservices
- **Published:** August 1, 2026
- **Apply:** https://www.dice.com/job-detail/57537770-4e27-4959-ac2f-a16b32821093

## About the Role

* 5+ years of experience with SQL development and relational database design
 * 5+ years of experience with programming languages such as Java, Python, C#, or .NET
 * Experience with enterprise data systems, data pipelines, and distributed architecture
 * Experience with enterprise solution architecture and cloud-based deployments
 * Experience with microservices, containerization, and DevSecOps practices
 * Experience performing technical discovery and delivering solution documentation
 * Ability to lead technical teams, and make and own architectural decisions
 * Ability to travel up to 25% of the time
 * Secret clearance
 * Bachelor's degree and 6+ years of experience in sof tware engineering, system design, solution architecture, and complex system integrations, or 11+ years of experience in software engineering, system design, solution architecture, and complex system integrations in lieu of degree

Nice If You Have:

 * Possession of strong leadership, communication, and stakeholder e nga gement skills, including with Flag or General Officers and members of the Senior Executive Service
 * TS/SCI clearance
 * Master's degree
 * AWS Cloud Certification s

## Description

Serve as the technical authority for solutions and be an active contributor to development as an AI Solutions Architect. Design effective AI solution architecture or strategy utilizing approaches of various AI technologies and met hods to address clients' business problems and needs, while complying with the organization's strategies and business goals, and key ethical considerations. Design Foundry architecture, ontology, integration patterns, and technical standards, while partnering closely with engineers to implement complex features. Lead technical design reviews, develop proof of concepts, resolve complex technical challenges, and ensure the solution is scalable, maintainable, and aligned with enterprise architecture. Analyze the current application and data landscape, identify opportunities for modernization and optimization, and architect scalable, secure, and maintainable solutions to inform solution design. Partner with product owners, engineers, cybersecurity spe cia lists, and
cloud teams to ensure solutions meet business and technical objectives, adhere to best practices, and leverage cloud capabilities effectively. Provide technical leadership to engineering teams, guiding development, integration, and deployment of a large, distributed data system. Architect end-to-end enterprise solutions, including integration patterns, data pipelines, and cloud deployments. Manage and guide engineering teams in implementing services, APIs, and database integrations using programming languages such as Java, Python, C#, or Scala. Design and optimize relational databases, including SQL modeling, query tuning, and data migration strategies. Establish and enforce solution design standards, architectural guidelines, and secure-by-design principles. Conduct architecture reviews, risk assessments, and trade-off analyses to support informed decision-making. Provide ongoing technical leadership and mentorship to engineers across multiple teams. Collaborate with stakeholders to
define technical requirements, constraints, and success criteria.


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