Senior Forward Deployed AI Engineer (GenAI, AWS) at Provectus
$120,000–$180,000
Jul 26, 2026
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Jul 27, 2026
What this job asks for AI summary
A senior hands-on engineering role at an AI consultancy focused on financial services and healthcare clients. The core pattern is spending the opening weeks of each engagement doing the client's operational job — underwriting, claims processing, revenue-cycle work — before designing and building the replacement system. Day-to-day work spans production LLM applications, agentic workflows, retrieval pipelines, and evaluation harnesses, all deployed on AWS, with direct accountability for whether the client's business metrics actually move.
Senior level · 8+ years · Remote · Full-time
Pay in the description: $120,000–$180,000
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Posted 8 times — it's one opening, so apply once.
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 11,500 people nationally plausibly meet what this posting asks for (software developers). range 6,900–17,200
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 (9)
The title 'Forward Deployed AI Engineer' carries no seniority level word, so advertised seniority is Unspecified; however, the requirements (8+ years, production GenAI ownership, credibility with C-suite, prior founder/CTO/staff-engineer background) firmly support Senior.
Python and TypeScript are listed together as 'centre of gravity' with 'proficiency in Python and/or TypeScript' — they are interchangeable as the primary language gate, so they are captured as a single requirement with each as the other's alternative.
AWS is the primary cloud platform required; GCP and Azure are explicitly called out as a plus ('where the customer requires it'), so they appear as alternatives rather than separate required skills.
Kubernetes and ECS are listed together as equivalent container orchestration options under the cloud-native delivery requirement.
IaC is mentioned as a required capability under cloud-native delivery; AWS CDK, CloudFormation, and Terraform appear only under 'Nice to have' with depth framing, so they are marked preferred.
Claude Code / Cowork is stated as a hard requirement ('Strong hands-on production experience with Claude Code/Cowork').
PyTorch, SageMaker, MLflow, graph databases (Neo4j/AWS Neptune), and IaC depth tools all appear exclusively under the 'Nice to have' section and are marked preferred.
No CBSA/location is specified beyond 'remote-friendly'; the role appears US-based given USD compensation and North America office mention, but no specific metro is determinable.
The posting does not specify a degree requirement; no degree is mentioned as required or preferred.
Read the full posting
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