Forward Deployed AI Engineer at IFS
Itasca, IL
$150,000–$170,000from the description
Jun 30, 2026
Itasca, IL
Jul 21, 2026
What this job asks for AI summary
A hands-on engineering role focused on deploying custom AI agent solutions directly within enterprise customer environments. The work spans the full delivery lifecycle — from scoping use cases and prototyping to integrating with existing business systems, tuning agent behavior, and handing off stable deployments. It suits engineers with a background in software or ML deployment who are comfortable working closely with customers as well as in code.
Mid level · 2+ 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 8,400 people nationally plausibly meet what this posting asks for (software developers). range 5,000–15,000
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
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 title 'Forward Deployed AI Engineer' carries no explicit seniority level; the title states no level. The 2–5 year experience range and scope (customer-facing delivery, prototyping through launch) support a Mid-level classification.
SOC is Medium confidence: the role is primarily software/AI engineering (building and deploying LLM-based agents), but has a strong solutions-engineering / customer-facing dimension that could lean toward 15-2051 Data Scientists given the ML deployment emphasis.
AI/ML frameworks are listed in a requirements section with 'e.g.' qualifiers — OpenAI, Hugging Face, and LangChain are treated as interchangeable alternatives for the same framework requirement; Pinecone and Weaviate similarly. The requirement itself is a hard gate on familiarity with such frameworks.
Enterprise system integration (Salesforce, ServiceNow, SAP, Oracle) is listed in the requirements section with 'e.g.' — these are treated as interchangeable examples of the same integration requirement.
'SaaS / customer experience / support operations / manufacturing systems' background and 'enterprise AI platforms or multi-agent orchestration' appear under the explicit 'Nice to Have' section.
Compensation is stated as '$150,000–$170,000 annually + bonus'; the bonus component cannot be quantified from the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): multi-agent orchestration.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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