AI Solutions Architect

Kforce Inc.
United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Software as a Service Cloud Computing Continuous Integration DevOps Programming Tools Information Systems Security Architecture Professional Systems Development Life Cycle Software Engineering Systems Integration
+5 more
Enterprise Software Applications Cloud Platform System Large Language Models Software Version Control Servicenow

Job description

Serve as a Solution Architect and technical lead supporting AI-enabled and enterprise IT initiatives Design and deliver scalable, secure architectures aligned to federal standards and best practices Support system integration efforts across SaaS platforms, cloud systems, and enterprise applications Lead and participate in architecture reviews, design sessions, and SDLC governance activities Apply AI/LLM-assisted tools to support development, documentation, and delivery workflows Translate requirements into technical solutions and system designs Facilitate technical discussions and stakeholder sessions Provide Tier 2/3 support for complex system issues and troubleshooting Configure and integrate enterprise SaaS platforms into existing environments Collaborate with engineering teams to support CI/CD pipelines and modern development practices

Requirements

We are seeking a mid-level AI Solutions Architect to support a high-priority federal modernization initiative. This role combines solution architecture, system integration, and applied AI capabilities in a fast-paced, mission-driven environment. The ideal candidate will have experience designing enterprise solutions, working across stakeholders, and supporting delivery within government or highly regulated environments., Ability to obtain or hold a Public Trust clearance Experience working within federal or regulated environments Strong knowledge of SDLC and governance processes Hands-on experience with:

Application development and architecture design Cloud platforms (AWS and/or Azure) Version control and development tools CI/CD and DevOps practices

Experience using AI/LLM tools to:

Generate documentation Support development workflows Produce deliverables

Experience with ServiceNow (administration/configuration/integration) Experience supporting enterprise SaaS implementations Experience supporting service desk operations (Tier 2/3) Strong skills in:

Requirements gathering Technical documentation Stakeholder communication, Experience supporting enterprise-level federal initiatives Familiarity with AI/ML solution integration into business workflows Experience working on high-visibility or executive-level programs Ability to operate in a fast-paced, evolving environment

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