AI Accelerator Solutions Engineer

Benefits

Parental leave

14 weeks Source: https://www.oracle.com/careers/culture/benefits/. source Last checked May 7, 2026.

Non-birth-parent leave

14 weeks Source: https://www.oracle.com/careers/culture/benefits/. source Last checked May 7, 2026.

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

$90K-$200K not verified - source not recorded; timestamp not recorded

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

29% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Accelerator Solutions Engineer Nashville, TN, United States, US The AI Accelerator Solutions Engineer helps Business Operations teams adopt AI by turning manual, file-based, or prototype workflows into trusted, repeatable AI-assisted processes. This role combines business analysis, financial/operational judgment, AI tooling fluency, stakeholder support, and practical documentation. Responsibilities Partner with stakeholders to understand file-based workflows, pain points, business logic, and desired outcomes Translate ambiguous business processes into structured AI-assisted workflows Use approved AI tools, prompts, skills, scripts, templates, and lightweight automation to support workflow delivery Validate outputs against source files, known-good examples, business rules, and reasonableness checks Document repeatable workflows, human review points, assumptions, limitations, and handoff instructions Support stakeholder adoption through guidance, troubleshooting, office hours, reusable examples, and playbooks Identify recurring barriers, tool gaps, and opportunities for reusable Biz Ops AI patterns Escalate platform, governance, connector, or security issues to the appropriate AI-first, IT, or enterprise support teams Must-Have Qualifications 1-3+ years of experience in business operations, finance, data analysis, consulting, technical support, or a related analytical role Strong structured thinking and ability to break messy workflows into clear steps Strong Excel and file-based analysis skills Business or financial reasonableness judgment Hands-on fluency using AI tools to structure work, analyze files, generate reusable instructions, and validate outputs Clear written communication and documentation habits Comfort working with scripts, prompts, structured files, templates, and repeatable workflow assets Preferred Qualifications Experience with OpenAI/Codex-style tools Familiarity with reusable AI skills, agents, prompts, playbooks, or workflow templates Exposure to Python, SQL, JSON/YAML, markdown, or

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