Karsun Solutions, LLC logo

AI Engineer

Karsun Solutions, LLC

NEW YORK, NYJob$140–170K/yrSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$140–170K/yr
Location
NEW YORK, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Public Trust clearance

Job overview

Karsun Solutions is supporting a Department of Veterans Affairs modernization program to expand digital services for Veteran healthcare and benefits. The AI Engineer will build and integrate AI capabilities across enterprise platforms, support AI-assisted development and automation, and guide teams on responsible, secure implementation. The role also supports performance validation and security approval documentation for AI components.

Skills & qualifications

RequiredNice to have

Skills

Enterprise AI ImplementationAI-Assisted DevelopmentAI AutomationAI Decision SupportLarge Language ModelsGenerative AIAWSAzureSalesforce AIMicrosoft Power Platform AIPega AIAppian AIFedRAMPATO ProcessesPythonMLOpsDevOps ToolingGitHub

Qualifications

Bachelor's in Listed Fields or Related7 Years Relevant Experience10 Years Experience or Degree SubstituteVA Public Trust InvestigationAvailable on Contract AwardLetter of Commitment

Full job description

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: * Design, implement, and maintain AI capabilities, including AI-assisted development, automation, and decision-support solutions, aligned with business objectives and operational baselines. * Integrate AI technologies across the DTC enterprise platforms (Salesforce/MuleSoft, Microsoft Power Platform/Dynamics, Pega, Box, Appian), including platform-native AI features and API-based integrations. * Apply AI-enabled code generation, automated testing, configuration recommendations, and code quality analysis within agile delivery teams, with human oversight and accountability for every deliverable. * Lead enterprise AI integrations, validate performance, and provide technical guidance while managing multiple tasks and deadlines. * Educate teams on best practices, responsible use, and secure implementation of AI, including protection of PII and PHI under HIPAA and VA privacy requirements. * Support security and ATO documentation for AI components so they clear DTC architecture and security approval gates.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, implementing, and maintaining AI capabilities in enterprise environments, including AI-assisted development, automation, or decision-support solutions. * 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: * Experience integrating large language models or generative AI services in a commercial cloud environment, such as AWS or Azure, for production use. * Experience with AI features on Salesforce, Microsoft Power Platform, Pega, or Appian. * Experience implementing AI in federal, healthcare, or other regulated environments, including FedRAMP or ATO processes. * Proficiency in Python and modern MLOps or DevOps tooling, including GitHub.Things to Know:Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.Salary RangeThe proposed salary range for this role is$140,000 to $170,000 USD.The salary range provided is a good faith estimate representative of all experience levels. Karsun considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, lo

How this job compares

Set against the 6,998 open AI Engineer jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$140–170K/yr
  • New York median$144–241K/yr434 salary ranges
  • US median$131–236K/yr5,785 salary ranges

This range's midpoint, $155K, is 21% below the New York median midpoint ($196K) — in the lowest quarter of AI Engineer salary ranges in New York.

Openings
Olive Jobs lists 551 open AI Engineer jobs in New York and 6,998 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 7 years of experience; AI Engineer postings that state a minimum ask for 5 years at the median (5,939 postings).
Education
2,904 of the 6,998 open AI Engineer jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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