AI Solution Architect

Why Karsun? Join Karsun Solutions to grow your career with the company transforming possible for the US Government. At Karsun, collaboration drives our community. We're committed to building an environment where team members from diverse backgrounds can innovate, learn and grow with us. Here at Karsun, the only limit to your potential is the limit of your curiosity. Join Team Karsun, and Find Your Next! Summary Karsun Solutions is actively looking to support a modernization of digital services and accelerate delivery of healthcare and benefits programs for Veterans at the Department of Veterans Affairs. Candidates will support a program focused on expanding the Digital Transformation Center's ability to deliver enterprise applications using modern development frameworks, low code and no code platforms, and cloud based SaaS and PaaS environments. The objective is to deliver digital capabilities that support both Veteran healthcare services and benefits programs. The program supports multiple concurrent low code/no code products serving a wide-range of users, while maintaining reliability, security, and delivery speed across a complex enterprise platform environment. What You'll Be Doing: - Assess, design, and oversee secure enterprise AI architectures that integrate into VA's operational and functional baseline. - Apply AI and machine learning architecture patterns across cloud and on-premise platforms to improve scalability, reusability, security, and governance, aligned to business and system dependencies. - Define how AI capabilities integrate with the DTC enterprise platforms (Salesforce/MuleSoft, Microsoft Power Platform/Dynamics, Pega, Box, Appian), keeping designs platform-agnostic and reusable across products. - Lead enterprise AI integration efforts and validate architectural decisions through DTC solution architecture and security architecture approval gates. - Establish AI governance practices, including model selection, human oversight, responsible use, and protection of PII and PHI under HIPAA and VA privacy requirements. - Guide the AI Engineer, Machine Learning Engineer, and delivery teams to ensure consistent, compliant delivery across multiple initiatives. - Educate VA stakeholders and DTC Platform Leads on AI architecture options, tradeoffs, and adoption. Required Qualifications: - Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Operations Research, or a related field, plus a minimum of 7 years of relevant experience. 10 years of relevant experience may substitute for the degree. - Demonstrated experience designing secure enterprise AI or machine learning architectures across cloud and/or on-premise platforms. - Demonstrated experience leading enterprise AI integration efforts across multiple initiatives. - Ability to obtain and maintain a VA Public Trust background investigation. - Available on contract award and willing to sign a letter of commitment. Preferred Qualifications: - A professional-level cloud architecture certification, such as AWS Certified Solutions Architect Professional or Azure Solutions Architect Expert. - Experience architecting generative AI or large language model solutions for production use in federal, healthcare, or other regulated environments. - Experience with FedRAMP, ATO, or NIST AI Risk Management Framework processes. - Experience with AI capabilities on Salesforce, Microsoft Power Platform, Pega, or Appian. Things to Know: Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability,