AI Solutions Architect

Job Description Visa Requirement: This position is open only to candidates authorized to work in the United States under the following visa categories: H4-EAD, Green Card Holder, GC-EAD, U.S. Citizen, L2s, L2-EAD. No other visa types are eligible for this role. Job Description:  The AI Solutions Architect will partner with internal AI product management teams, vendor partners, and development staff to design, enhance, and operationalize secure, scalable AI and Agentic AI solutions. This role requires independent judgment, strong architectural leadership, and deep technical expertise in modern AI ecosystems including Azure OpenAI, LLM orchestration, and retrieval-augmented generation (RAG). The architect will ensure compliance with public-sector governance standards, including PII, HIPAA, and CJIS where applicable, while advancing responsible and ethical AI practices across DES programs. Key Responsibilities Architecture & Design Lead the design and implementation of secure, scalable AI and Agentic AI solutions aligned with DES mission and state standards. Define end-to-end AI architectures including: Data ingestion pipelines RAG frameworks LLM orchestration Agentic AI systems Human-in-the-loop workflows Develop architecture artifacts, technical specifications, and documentation for governance approvals. Establish reference architectures and AI best practices for enterprise-wide adoption. Compliance & Governance Ensure solutions comply with: State security standards Privacy and accessibility requirements Data governance regulations (PII, HIPAA, CJIS where applicable) Design AI systems that emphasize: Explainability Auditability Bias mitigation Transparency in decision-support systems Technical Leadership Provide architectural guidance to development teams and system integrators. Evaluate AI platforms, Azure cloud services, and vendor AI tools in coordination with procurement and legal teams. Support AI strategy development, roadmaps, and executive briefings. Collaborate with: DevOps / Cloud Operations Cybersecurity teams Data engineering teams Guide AI solutions from Proof of Concept (PoC) through production deployment. Required Technical Skills Hands-on AI development experience including: Agentic AI solutions Azure OpenAI LLM, ML, and RAG architectures Human-in-the-loop workflows Strong background in: .NET (C#, VB.NET) HTML & JavaScript Automation tools (OCR, IDP, AI/ML systems) Experience designing AI systems from business and technical requirements. Ability to perform code analysis and understand implementation patterns. Strong architectural documentation and technical writing skills. Ability to decompose complex business problems into logical AI workflows. Strong communication skills (written and verbal). Ability to manage multiple priorities in dynamic environments. Preferred Skills Azure DevOps, Git, CI/CD pipeline implementation. Experience with REST & SOAP APIs. Familiarity with: MS Office Google Suite OnBase Unity Client Experience mentoring developers and promoting best practices. Experience working within Agile frameworks: Scrum Kanban SAFe Lean principles Understanding of SDLC and ITIL processes. Apply Online Your Name * Your Phone Number * Your Email Address * Job id What is your current U.S. visa or immigration status? * SelectU.S. Citizen (USC)Lawful Permanent Resident (Green Card holder)H1BF1-OPT/Stem-OPT/CPT EADH4-EADL-2SGC-EADOther Valid Visa Where are you currently located at? * W2 or C2C * SelectW2C2C How many years of total experience do you have? * How many years of relevant experience do you have? * Do you require H1B sponsorship? * YesNo Do you require sponsorship? * NoYes – H-1B transferYes – Green Card sponsorshipYes – Both H-1B transfer and Green Card sponsorship Upload Resume * Δ Visa Requirement: This position is open only to candidates authorized to work in the United States under the following visa categories: H4-EAD, Green Card Holder, GC-EAD, U.S. Citizen, L2s, L2-EAD. No other visa types are eligible for this role. Job Description:  The AI Solutions Architect will partner with internal AI product management teams, vendor partners, and development staff to design, enhance, and operationalize secure, scalable AI and Agentic AI solutions. This role requires independent judgment, strong architectural leadership, and deep technical expertise in modern AI ecosystems including Azure OpenAI, LLM orchestration, and retrieval-augmented generation (RAG). The architect will ensure compliance with public-sector governance standards, including PII, HIPAA, and CJIS where applicable, while advancing responsible and ethical AI practices across DES programs. Key Responsibilities Architecture & Design Lead the design and implementation of secure, scalable AI and Agentic AI solutions aligned with DES mission and state standards. Define end-to-end AI architectures including: Data ingestion pipelines RAG frameworks LLM orchestration Agentic AI systems Human-in-the-loop workflows Develop architecture artifacts, technical specifications, and documentation for governance approvals. Establish reference architectures and AI best practices for enterprise-wide adoption. Compliance & Governance Ensure solutions comply with: State security standards Privacy and accessibility requirements Data governance regulations (PII, HIPAA, CJIS where applicable) Design AI systems that emphasize: Explainability Auditability Bias mitigation Transparency in decision-support systems Technical Leadership Provide architectural guidance to development teams and system integrators. Evaluate AI platforms, Azure cloud services, and vendor AI tools in coordination with procurement and legal teams. Support AI strategy development, roadmaps, and executive briefings. Collaborate with: DevOps / Cloud Operations Cybersecurity teams Data engineering teams Guide AI solutions from Proof of Concept (PoC) through production deployment. Required Technical Skills Hands-on AI development experience including: Agentic AI solutions Azure OpenAI LLM, ML, and RAG architectures Human-in-the-loop workflows Strong background in: .NET (C#, VB.NET) HTML & JavaScript Automation tools (OCR, IDP, AI/ML systems) Experience designing AI systems from business and technical requirements. Ability to perform code analysis and understand implementation patterns. Strong architectural documentation and technical writing skills. Ability to decompose complex business problems into logical AI workflows. Strong communication skills (written and verbal). Ability to manage multiple priorities in dynamic environments. Preferred Skills Azure DevOps, Git, CI/CD pipeline implementation. Experience with REST & SOAP APIs. Familiarity with: MS Office Google Suite OnBase Unity Client Experience mentoring developers and promoting best practices. Experience working within Agile frameworks: Scrum Kanban SAFe Lean principles Understanding of SDLC and ITIL processes. [contact-form-7 id="ac31dcc" title="Job Apply Form"]