
1001 - 5000 employees
🏛️ Government
🤖 Artificial Intelligence
🔒 Cybersecurity
Government • Artificial Intelligence • Cybersecurity
Credence is a national-security focused technology and services company that combines human expertise and production-scale AI agents to support U. S. defense, intelligence, and foreign assistance missions. It delivers AI, data, cloud, enterprise modernization, and cybersecurity solutions at high assurance (up to IL-6), manages large-scale agent deployments and transactions, and executes through government contract vehicles to modernize mission-critical systems and accelerate operational outcomes.
🕒 April 24
🇺🇸 United States – Remote
💵 $180k - $220k / year
⏰ Full Time
🔴 Lead
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
🏛️ Government
🤖 Artificial Intelligence
🔒 Cybersecurity
Government • Artificial Intelligence • Cybersecurity
Credence is a national-security focused technology and services company that combines human expertise and production-scale AI agents to support U. S. defense, intelligence, and foreign assistance missions. It delivers AI, data, cloud, enterprise modernization, and cybersecurity solutions at high assurance (up to IL-6), manages large-scale agent deployments and transactions, and executes through government contract vehicles to modernize mission-critical systems and accelerate operational outcomes.
• Own architecture for VA IT programs: reference architectures, integration patterns, platform decisions, and roadmaps — with clear documentation of trade-offs. • Write proof-of-concept code and hands-on prototypes to de-risk architectural decisions and validate solutions before they reach customers. • Represent Credence technically to VA stakeholders (OIT, EHRM, VHA) — in RFI responses, oral presentations, and relationship-building touchpoints. • Contribute to capture strategy for VA opportunities — technical volume authorship, win-theme development, technical Q&A, and customer discovery. • Provide architectural guidance and technical mentorship to Credence engineering teams as they come into VA delivery work. • As the practice matures, review and validate solution designs from delivery teams against Credence's architectural standards and VA compliance requirements. • Partner with our VA practice lead on customer engagements and on positioning Credence's AI-native capabilities for VA modernization. • Document architectural decisions, integration contracts, and technical standards so engineering teams can execute against them with clarity.
• Citizenship: US Citizen with the ability to obtain a successful Federal Background Investigation. • Experience: Minimum ten (10) years of hands-on technical experience. Bachelor's in Computer Science, Software Engineering, or a related technical field; Master's preferred. • AI/ML: Direct, recent, hands-on experience using AI, Machine Learning, or Generative AI to solve real problems in production systems — not just familiarity. Examples of qualifying work: integrating LLM APIs into production systems, building RAG pipelines, designing MLOps infrastructure, fine-tuning or training models, or architecting agentic AI systems. Candidates without demonstrable AI/ML implementation work will not be considered. AI/ML depth will be evaluated — AI/ML is core to our value proposition to VA. • Department of Veterans Affairs (VA) Experience: Prior experience working at VA — as a VA employee or as a VA contractor — is required. General federal or DoD experience does not substitute. • Scale: Experience architecting at enterprise scale ($100M+ programs or equivalent complexity — multi-region production cloud, platforms serving tens of thousands of users, or systems integrating 20+ downstream applications) and comfort operating at task-order agility (bidding and delivering smaller task orders with short time-to-delivery). • Cloud: Deep experience with secure cloud architecture on AWS and/or Azure — service model selection (IaaS, PaaS), networking, identity, and federal cybersecurity controls (FedRAMP, NIST). • DevSecOps: Deep experience with DevSecOps principles and practices — CI/CD, automated testing, infrastructure as code, shift-left security. • Software Engineering breadth: API design, microservices, containerization, application development, Agile/SDLC. • Federal Resources Awareness: Familiarity with Federal Government reference architectures and security controls (FedRAMP, NIST 800-53, VA EHRM/OIT standards). • Technical Leadership: Proven ability to set architectural direction and mentor engineers through technical credibility and hands-on problem-solving.
• Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Family Leave (Maternity, Paternity) • Short Term & Long Term Disability • Training & Development • Work From Home • Free Food & Snacks • Wellness Resources
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