AI Solutions Engineer — Customer Orchestration
Oracle · Seattle, WA
$91,400–$187,000from the description
Jul 21, 2026
Seattle, WA
Jul 23, 2026
What this job asks for AI summary
A customer-facing technical role focused on designing and building agentic AI solutions for enterprise clients. The work spans the full lifecycle — from discovery sessions with business stakeholders through prototyping AI-powered workflows, validating them with engineering teams, and supporting production deployment and adoption. Suited to someone with a background in solutions engineering or technical consulting who can bridge business requirements and hands-on AI solution building.
Senior level · Remote · Full-time
Posted 13 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
What the occupation pays Median $108,178 (middle half $84,682–$137,059). 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 (7)
No specific location is stated in the posting beyond 'US'; the CBSA and state fields are left blank. The compensation range is US-wide.
The role sits between Systems Analyst (15-1211) and Software Developer (15-1252): it involves discovery, process mapping, requirements translation, and solution design (analyst work), but also hands-on prototyping and configuring agentic AI workflows (developer-adjacent work). 15-1211 was chosen as primary because the dominant day-to-day activities — discovery sessions, process flows, user stories, acceptance criteria, and guiding adoption — are analytical and consultative rather than software-engineering.
The posting lists no overall years-of-experience requirement; seniority is inferred as Senior from the scope (executive engagement, end-to-end ownership from discovery through production, defining reusable practices across Oracle CSS) and the IC4 career-level designation.
The 'What You Bring' section describes experience areas in narrative/functional terms (Customer Success, Solutions Engineering, etc.) rather than naming specific technologies, so no must-have technology skills are extractable from it beyond the general AI/agentic workflow and APIs references embedded in the responsibilities.
All technology-specific items (agent orchestration platforms, low-code platforms, workflow automation tools, APIs and enterprise integrations, MCP, webhooks, AI evaluation and observability, Oracle applications/ERP, Enterprise SaaS) appear explicitly under 'Preferred Qualifications' and are marked accordingly.
The posting mentions bonus and equity eligibility in addition to the stated salary range.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI/agentic workflow design, AI evaluation and observability.
Read the full posting
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