Mind Computing
Mind Computing
Mind Computing is a digital services consulting firm working with organizations on business challenges and technology change. Its services span business consulting, technology strategy and implementation, and the use of blockchain, the Internet of Things, and artificial intelligence. The company applies agile development and cognitive design thinking to help clients improve performance and adapt their operations. Mind Computing is identified as a Service-Disabled Veteran-Owned Small Business and a HUBZone business, and serves sectors including healthcare and logistics.

Federal Solutions Architect

Design secure enterprise and healthcare IT architectures for Mind Computing’s VA-focused federal programs. Shape technical proposals, capture solutions, and responsible AI strategies.

Apraksts

  • Support federal growth, capture, and solution development, primarily for the Department of Veterans Affairs and also DoD, DHA, CMS, and HHS.
  • Independently write and refine technical narratives for federal RFIs, RFQs, RFPs, task orders, white papers, and other pursuits.
  • Turn solicitation requirements and subject matter expert input into clear, persuasive responses tailored to evaluators.
  • Create and review proposal content for compliance, feasibility, differentiation, and alignment with customer goals and evaluation criteria.
  • Work with Growth, Capture, Proposal, Delivery, Engineering, Pricing, and Executive teams to develop technical solutions and win strategies.
  • Lead technical solutioning sessions, proposal and color team reviews, oral presentations, and discussions with customers or partners.
  • Review solicitations, PWS/SOO, technical requirements, Q&A, and acquisition documents to identify goals, risks, assumptions, and opportunities.
  • Design and explain enterprise architectures across application modernization, cloud, data, APIs, healthcare interoperability, DevSecOps, cybersecurity, and operations.
  • Convert customer needs into technical approaches, implementation plans, workstreams, technology choices, staffing models, and differentiators.
  • Apply knowledge of VA technology and healthcare environments, including VistA, CDW, My HealtheVet, Federal EHR/Oracle Health, and related enterprise systems.
  • Produce architecture diagrams, data flows, integration models, modernization roadmaps, conceptual designs, and other technical materials.
  • Assess technologies, platforms, and potential partners for build, buy, reuse, integration, and teaming strategies.
  • Advise on emerging technologies and identify applications for AI and Generative AI in federal healthcare solutions.
  • Use AI-assisted tools such as ChatGPT, Claude, and GitHub Copilot for research, requirements analysis, architecture, software engineering, and proposals, validating their outputs.
  • Support responsible AI practices for data protection, human oversight, model evaluation, security, governance, and hallucination mitigation.
  • Take on other tasks and responsibilities as needed to support team goals and project success.
  • Complete fingerprinting at a government facility and undergo a background check during hiring.

Prasības

  • Bachelor’s degree in computer science, information technology, engineering, information systems, or a related technical field.
  • At least five years of experience in enterprise IT, software engineering, systems architecture, and technical leadership, including solution, enterprise, or technical architecture.
  • Substantial experience supporting the Department of Veterans Affairs, preferably in VA healthcare, OIT, Digital Health, or large 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 and ability to explain complex architectures in 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 and context engineering, model evaluation, and responsible AI.
  • Strong analytical, communication, facilitation, collaboration, and problem-solving skills.
  • Strong knowledge in several areas: 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 experience supporting DoD/DHA, CMS, HHS, or other federal healthcare programs.
  • Previous federal or government experience.
  • Experience with VA enterprise architecture, Technical Reference Model (TRM), ATO, security, or technical governance processes.
  • Experience connecting 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.
  • Must live within the continental United States.
  • Sponsorship is not available at this time.

Priekšrocības

  • Medical, dental, and vision coverage
  • 401(k) with employer match
  • Paid time off and federal holidays
  • Corporate laptop
  • Training opportunities
  • Remote work opportunity

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