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Data and AI Solutions Architect, Lead

Job in Gaithersburg, Montgomery County, Maryland, 20883, USA
Listing for: AIToolboard
Full Time position
Listed on 2026-09-02
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Jobs / Data and AI Solutions Architect, Lead

Data and AI Solutions Architect, Lead

Full-time

About the Role

Data and AI Solutions Architect, Lead

The Opportunity:

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 cap ability to day, 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 e nga gements.
  • Provide technical leadership to multidisciplinary teams, including data scientists, data engineers, BI developers, cloud engineers, and program delivery staff.
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