Forward Deployed AI Engineer
FeaturedJob Snapshot
Hartford, Connecticut
$150,000-$170,000 annually
Onsite 5 days/week for approximately 6-12 months
Approximately 50%, including extended stays
U.S. Person required; HEICO determines eligibility
The Briefing
Why this role
Own the whole path from discovering an operational problem to implementation, adoption and long-term support.
Source: Role OverviewBuild useful changes with shop-floor teams, engineers, quality staff and executives, with visible operational outcomes.
Source: What You'll GetLearn different operating businesses and turn successful deployments into improvements other sites can repeat.
Source: What You'll Own
Is this you
Personal software or automation implementation: explain what you built, the operational problem and what happened after deployment.
Source: What We're Looking ForAt least one year designing, deploying and supporting systems in live manufacturing, engineering or MRO environments, including fixes after release.
Source: What We're Looking ForA bachelor's degree in software engineering or computer science, and practical fault diagnosis in production or field environments.
Source: What We're Looking ForScope work independently and make pragmatic decisions about cost, quality and reliability with engineers and business leaders.
Source: What You'll Own
Said plainly
Hartford, Connecticut, onsite five days per week for approximately 6-12 months is the initial commitment.
Source: Working Model and GeographyApproximately 50% travel includes extended stays. Later Miami, Hartford or remote flexibility is possible, not guaranteed.
Source: Working Model and GeographyHEICO requires a U.S. Person for DoD and ITAR work; HEICO determines eligibility.
Source: Working Model and Geography
The full posting, unedited
You will turn real manufacturing and repair problems into working software and automation. Learn how a site operates, choose a useful intervention, build it, deploy it with the people who use it, and keep it reliable after release.
Apply Now
HEICO
Send your CV or LinkedIn profile and one short, non-confidential implementation example. Tell us what problem you tackled, what you personally built or deployed, and how you supported it after release.
GitHub or portfolio links are welcome. No generic cover letter is needed.
