AI Foundry Engineer (Tantus) at Sikich
$165,000–$195,000from the description
Jul 13, 2026
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Jul 21, 2026
What this job asks for AI summary
This role involves using AI foundry platforms to generate full-stack, agent-based systems from business requirements expressed as prompts, then reviewing the resulting code for design flaws and quality issues, applying fixes, and seeing the application through testing and deployment. It suits a deeply experienced software engineer — with 20+ years in distributed and cloud-native development — who has hands-on background in generative and agentic AI, prompt engineering, and LLM evaluation, supporting a government client.
Principal level · 20+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,400 people nationally plausibly meet what this posting asks for (software developers). range 500–4,350
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role requires a government-issued Public Trust clearance (not a national security clearance), so the clearance requirement is set to None — Public Trust is a suitability determination, not a classified access clearance.
The 20+ years of overall experience requirement is exceptionally high and drives the seniority assessment to Principal, even though the title 'AI Foundry Engineer' carries no explicit level word.
The web framework / language requirement lists Angular, React, Python, Node.js, and Rust as interchangeable options for a single 5-7 year hands-on requirement; Angular is used as the primary name with the others as alternatives.
The cloud requirement similarly lists AWS/Google (preferred) and Azure/Oracle as interchangeable options for a single 5-year requirement; AWS is used as the primary name with the others as alternatives.
The 2-3 year AI/Gen AI/agentic AI requirement is stated as a single combined requirement; it is captured as Generative AI (the required/preferred flag, the years demanded of 2) and agentic AI as a separate named capability.
The posting names 'Brainstrust' (likely 'Braintrust') and Galileo as specific LLM evaluation tools under a required experience bullet; both are captured, with Galileo as an alternative since the JD frames them as 'such as' options within a single requirement.
The SOC is Medium confidence: the role is primarily about building AI/full-stack systems (15-1252), but the heavy prompt-engineering and AI-orchestration focus could also fit 15-1299 (Computer Occupations, All Other) as a genuinely novel occupation type.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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