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
Internal Responsibilities
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 lightweight automation
- Experience with cloud infrastructure, usage, billing, capacity, finance, audit, or operational workflows
- Experience supporting internal users through training, enablement, or workflow adoption
External Responsibilities
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 lightweight automation
- Experience with cloud infrastructure, usage, billing, capacity, finance, audit, or operational workflows
- Experience supporting internal users through training, enablement, or workflow adoption
