Mind Computing is seeking an experienced
Solutions Architect to support federal growth, capture, and solution development initiatives, with a primary focus on the Department of Veterans Affairs (VA) and additional federal agencies including DoD, DHA, CMS, and HHS. The ideal candidate will bring a strong background in designing complex enterprise technology solutions and translating federal requirements into practical, scalable, secure, and differentiated architectures across healthcare IT, cloud, data, interoperability, DevSecOps, cybersecurity, and AI/Generative AI.
The candidate must reside within the continental US.
Responsibilities:- Independently develop, write, and refine proposal-ready technical narratives for RFIs, RFQs, RFPs, task orders, white papers, and other federal pursuits, translating solicitation requirements and SME input into clear, persuasive, evaluator-focused responses.
- Develop and review technical proposal content, ensuring solutions are compliant, feasible, differentiated, and aligned with customer objectives and evaluation criteria.
- Partner with Growth, Capture, Proposal, Delivery, Engineering, Pricing, and Executive teams to develop technical solutions and win strategies.
- Lead and facilitate technical solutioning sessions, proposal reviews, color teams, oral presentations, and customer or partner discussions.
- Analyze solicitations, PWS/SOO, technical requirements, Q&A, and acquisition documents to identify customer objectives, technical risks, assumptions, and solution opportunities.
- Design and communicate enterprise architectures spanning application modernization, cloud, data, APIs, healthcare interoperability, DevSecOps, cybersecurity, and operations.
- Translate customer requirements into technical approaches, implementation strategies, workstreams, technologies, staffing models, and technical differentiators.
- Apply knowledge of VA technology and healthcare environments, including VistA, Corporate Data Warehouse (CDW), My HealtheVet (MHV), Federal EHR/Oracle Health, and related enterprise systems.
- Develop architecture diagrams, data flows, integration models, modernization roadmaps, conceptual designs, and other technical artifacts.
- Evaluate technologies, platforms, and potential partners to determine appropriate build, buy, reuse, integration, and teaming strategies.
- Provide technical guidance on emerging technologies and identify opportunities to apply AI and Generative AI to federal healthcare solutions.
- Leverage AI-assisted tools such as ChatGPT, Claude, GitHub Copilot, and similar platforms for technical research, requirements analysis, architecture development, software engineering, and proposal activities while validating outputs for accuracy and security.
- Support responsible AI practices, including data protection, human oversight, model evaluation, security, governance, and hallucination mitigation.
- Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
Qualifications:- Bachelor's degree in Computer Science, Information Technology, Engineering, Information Systems, or a related technical field.
- 5+ years of experience in enterprise IT, software engineering, systems architecture, and technical leadership, including Solution Architecture, Enterprise Architecture, or Technical Architecture.
- Significant experience supporting the Department of Veterans Affairs, preferably within VA healthcare, OIT, Digital Health, or major enterprise technology programs.
- Experience architecting, modernizing, integrating, or delivering complex enterprise or healthcare systems.
- Experience estimating technical staffing, labor categories, level of effort, and implementation timelines.
- Experience supporting federal capture, solution reviews, Black Hat, Pink/Red/Gold Team reviews, or oral proposal presentations.
- Strong technical writing skills with the ability to translate complex architectures into clear, persuasive, evaluator-focused content.
- Experience developing and presenting technical architectures, solution concepts, implementation approaches, and recommendations to technical and non-technical audiences.
- Current knowledge of AI/ML and Generative AI, including LLM applications, RAG, AI agents, prompt/context engineering, model evaluation, and responsible AI.
- Strong analytical, communication, facilitation, collaboration, and problem-solving skills.
- Strong knowledge across several of the following:
- Cloud architecture and modernization
- Application and legacy system modernization
- Microservices and API architecture
- Data architecture and analytics
- DevSecOps and CI/CD
- Healthcare interoperability
- Enterprise integration and event-driven architecture
- Cybersecurity and Zero Trust
- Production operations, scalability, resilience, and observability
Additional Qualifications:- Additional experience supporting DoD/DHA, CMS, HHS, or other federal healthcare programs.
- Prior federal/government experience.
- Experience with VA enterprise architecture, Technical Reference Model (TRM), ATO, security, or technical governance processes.
- Experience integrating legacy VA environments with modern cloud, API, data, and Federal EHR capabilities.
- Working knowledge of HL7, FHIR, REST APIs, and healthcare integration technologies.
- Experience with AWS and/or Microsoft Azure cloud environments.
- Familiarity with Shipley or APMP proposal methodologies.
- Relevant cloud, architecture, cybersecurity, healthcare IT, or AI certifications.
- Ability to meet applicable federal background investigation and suitability requirements, including Public Trust, and obtain and maintain a security clearance when required by the customer or opportunity.
Benefits:- Medical/Dental/Vision
- 401k with Employer Match
- PTO + Federal Holidays
- Corporate Laptop
- Training Opportunities
- Remote Opportunity
Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
