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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data and AI Solutions Architect, Lead - **Company:** Booz Allen Hamilton Inc. - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $99,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Business Intelligence Development, Cloud Computing, Cloud Engineering, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Python (Programming Language), Power BI, Cloud Services, SQL Databases, Data Streaming, Tableau (Software), Enterprise Data Management, Large Language Models, SC Clearance, Qlikview, Data Management, Machine Learning Operations, Tools for Reporting, Data Pipelines, Databricks - **Published:** June 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6dc5129a139e90b2 ## About the Role * 8+ years of experience in data, analytics, cloud, AI/ML, software, or enterprise technology delivery * Experience designing and delivering data or analytics solutions in regulated environments such as the federal of defense environment * Experience with AWS, Azure, Databricks, Python, SQL, ETL/ELT pipelines, and MLOps concepts and delivery patterns * Experience supporting technical solutioning for proposals, captures, growth opportunities, or client expansion efforts * Experience reviewing technical designs and advising delivery teams on architecture improvements * Knowledge of data architecture, cloud architecture, data engineering, analytics platforms, and AI/ML solution patterns * Ability to estimate technical level of effort, staffing needs, delivery timelines, and implementation tradeoffs * Ability to operate across delivery, growth, and leadership contexts * Secret clearance * Bachelor's degree in Data Science, CS, Information Systems, Engineering, Mathematics, Statistics, or Analytics Nice If You Have: * Experience supporting Department of Defense (DoD), Navy, or federal civilian data and analytics programs, mentoring technical teams, or building reusable solution accelerators * Experience with secure government cloud environments, federal data platforms, or DoD enterprise analytics ecosystems * Experience with cybersecurity, RMF, NIST, data governance, data quality, or compliance-driven delivery environments * Experience with BI and analytics tools such as Power BI, Tableau, or Qlik * Experience with APIs, data integration, lakehouse architectures, data mesh concepts, or enterprise data platforms * Experience with GenAI, RAG, LLM-enabled applications, model deployment, or responsible AI implementation * Possession of strong written and verbal communication skills, for translating technical concepts to executive, client, and proposal audiences * Master's degree in an Analytics, Engineering, Business, or related technical field * Cloud or Architecture Certifications such as AWS Solutions Architect, Azure Solutions Architect, Databricks, or similar Certification * PMP, SAFe, Agile, Security+, or similar Delivery or Federal Certifications ## Description We are seeking a Lead Data and AI Solutions Architect to strengthen our technical solutioning, delivery architecture, and growth capabilities across Navy accounts. This role is intended for a senior technical leader who can bridge strategy, architecture, delivery, and business development. The ideal candidate will help shape data, analytics, cloud, AI/ML, and MLOps solutions for larger client opportunities while also improving the technical foundations of active delivery work. The organization has strong data science capability today, but needs deeper architecture and solutioning expertise to pursue larger opportunities, deliver more complete solutions, improve technical design quality, and build reusable offerings that can scale across accounts. You will work closely with account leaders, capture teams, proposal teams, program managers, data scientists, data engineers, cloud engineers, and client stakeholders to define practical, technically-sound solutions that are executable in federal environments. What You'll Work On: * Lead the design of end-to-end data, analytics, cloud, AI/ML, and MLOps solutions for Navy clients. * Translate client mission needs, business problems, and technical constraints into scalable solution architectures. * Define target-state architectures, integration patterns, data flows, platform recommendations, and implementation roadmaps. * Review and improve technical designs across active projects to ensure solutions are scalable, secure, maintainable, and aligned to client needs. * Establish reusable technical standards, reference architectures, delivery patterns, and best practices across data and AI engagements. * Provide technical leadership to multidisciplinary teams, including data scientists, data engineers, BI developers, cloud engineers, and program delivery staff. * Identify technical risks early and recommend practical mitigation strategies. * Support capture and proposal efforts by shaping technical solutions for new and recompete opportunities. * Develop solution approaches, technical volumes, staffing models, cost estimates, implementation plans, and architecture narratives. * Partner with account and growth teams to identify expansion opportunities within existing Navy accounts. * Help convert client pain points into credible solution offerings and delivery concepts. * Build reusable solution offerings, accelerators, and architecture patterns that can be leveraged across multiple pursuits. * Participate in client discussions, solutioning workshops, technical exchanges, and verbal presentations, as needed. * Strengthen technical delivery by improving architecture discipline, design review processes, and implementation standards. * Help teams move from point solutions to more complete, enterprise-ready capabilities. * Provide guidance on data pipelines, cloud data platforms, ETL/ELT, analytics environments, MLOps, APIs, and AI/ML deployment patterns. * Support delivery teams in making appropriate tradeoffs across cost, timeline, security, scalability, maintainability, and mission impact. * Mentor technical staff and help grow architecture and solutioning depth across the team. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [From A2A to MCP: How AI’s “Brains” are Connecting to “Arms and Legs”](https://www.wearedevelopers.com/videos/1631-from-a2a-to-mcp-how-ai-s-brains-are-connecting-to-arms-and-legs) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)