# Staff AI Solutions Engineer

**Company:** [Checkr](https://hotfix.jobs/companies/checkr)
**Location:** San Francisco, CA
**Role:** Solutions Architecture
**Salary:** $177k – $208k/yr
**Experience:** 7+ years
**Skills:** Python, Machine Learning, Generative AI, LLMs, RAG, Agentic Workflows, Prompt Engineering, AWS, GCP, Azure, ai frameworks, automation frameworks, reference architectures
**Posted:** 2026-08-04

> Leads organization-wide AI enablement by gathering requirements, evaluating tools, and building scalable LLM-powered solutions and workflows. The role requires 5+ years of engineering or solutions experience, 3+ years developing AI products, strong Python skills, and excellent communication abilities.

## Job Description

## Responsibilities
- Gather requirements from internal teams, identify high-impact AI use cases, and translate business needs into technical solutions.
- Lead recurring AI office hours and company-wide AI hackathons.
- Evaluate, configure, and recommend AI tools and platforms, including build-versus-buy decisions.
- Design, develop, and deploy custom AI solutions using LLMs, RAG architectures, agentic workflows, and automation frameworks.
- Create reusable playbooks, prompt libraries, workflow templates, how-to guides, and reference architectures.
- Architect standardized, templatizable AI workflows for deployment across teams and use cases.
- Lead hands-on training sessions, workshops, and demonstrations to improve organization-wide AI fluency.
- Collaborate with Engineering, Business Systems, Security, Data Engineering, and other AI Solutions Engineers to integrate AI technologies securely and scalably.
- Contribute to organizational AI strategy and roadmaps.
- Present findings, demonstrate solutions, communicate progress, and advocate for AI adoption with stakeholders from individual contributors through executive leadership.

## Requirements
- Bachelor’s degree in Computer Science or equivalent experience; a graduate degree is a plus.
- 5+ years of experience in engineering, solutions engineering, or technical enablement roles, with a record of deploying productivity-enhancing solutions.
- 3+ years of hands-on experience developing AI-centric products and solutions, including machine learning, generative AI, LLMs, RAG architectures, agentic frameworks, and prompt engineering.
- Deep proficiency in Python and experience with AI frameworks and integrating LLM models into applications.
- Familiarity with AWS, Google Cloud, or Azure.
- Experience leading enablement programs, including office hours, hackathons, training sessions, and scalable documentation.
- Experience gathering requirements from non-technical stakeholders and translating them into well-scoped technical solutions.
- Ability to solve open-ended problems in unstructured environments and turn complex information into actionable plans.
- Strong communication and presentation skills, with the ability to explain complex AI concepts to technical and executive audiences.
- Ability to architect solutions, write production code, create training materials, and facilitate workshops.
- Passion for AI and helping others use it effectively.

## Compensation and Benefits
- **On-target earnings or base salary:** $177,000–$208,000 USD for San Francisco, CA.
- Learning and development allowance.
- Competitive cash and equity compensation with advancement opportunities.
- 100% medical, dental, and vision coverage.
- Up to $25,000 reimbursement for fertility, adoption, and parental planning services.
- Flexible PTO policy.
- Monthly wellness stipend.
- In-office perks including meals, commuter stipend, snacks, and beverages.
- Relocation stipend may be available for relocation to a Checkr hub location.

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