Staff AI Solutions Engineer

Checkr; San Francisco (CA); On-site; USD 177,000 - 208,000; Full time

Benefits offered by this job

Learning & development allowance

Competitive cash and equity comp.

Medical, dental, vision coverage

Relocation stipend

Job summary

Checkr is seeking a Staff AI Solutions Engineer to drive AI enablement across the company. You will embed with internal teams to understand workflows, configure AI tools, and build bespoke AI-powered solutions using LLMs and RAG architectures.

You will run office hours and hackathons, create reusable resources, and templatize workflows for scale. The role requires 5+ years in engineering or enablement, 3+ years building AI-centric products, and strong Python skills with cloud experience.

Qualifications

• Bachelor's degree in Computer Science or equivalent; graduate degree a plus.
• 5+ years in engineering, solutions engineering, or enablement roles delivering measurable productivity gains.
• 3+ years building AI-centric products including ML, generative AI, LLMs, and prompt engineering.
• Proficiency in Python and experience integrating LLM models into applications; familiarity with cloud hosting platforms.
• Ability to lead enablement programs including office hours, hackathons, and scalable documentation.

Responsibilities

• Gather requirements from multiple teams and translate into technical AI solutions.
• Lead AI office hours and company-wide hackathons to foster experimentation.
• Evaluate and configure AI tools; stay updated on the AI tooling landscape.
• Design, develop, and deploy bespoke AI solutions for cross-team use cases.
• Create reusable resources: playbooks, prompt libraries, workflow templates, guides.
• Templatize AI workflows for consistency and scale across teams.
• Lead training sessions and workshops to raise AI fluency across the organization.
• Collaborate with Engineers, Security, Data Eng, and other teams to ensure safe, scalable deployments.
• Contribute to AI strategy and roadmap aligned with business priorities.

Skills

Python

AI frameworks

LLM integration

Strong communication

Education

Bachelor's degree in Computer Science or equivalent

Tools

AWS/GCP/Azure

LLM tooling

Data engineering concepts

Job description

About Checkr

Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.

Join the IT Engineering team as a Staff AI Solutions Engineer, where you will serve as the primary driver of AI enablement and solutions engineering across all departments at Checkr. This is a highly visible, hands‑on role that blends deep technical expertise with a passion for teaching and empowering others. You will lead the charge on understanding team‑specific requirements, configuring and evaluating AI tools, building bespoke AI‑powered solutions, and standing up templatizable workflows that scale across the organization. From running office hours and hackathons to creating reusable resources and training materials, you will be the go‑to person for helping every team at Checkr unlock the full potential of AI.

What you’ll do:

• Requirements Gathering & Enablement: Embed with internal teams across departments to deeply understand their workflows, gather requirements, identify high‑impact AI use cases, and translate business needs into actionable technical solutions.


• Lead Office Hours & Hackathons: Own and facilitate recurring AI office hours for drop‑in support and guidance. Design and lead company‑wide AI hackathons that inspire experimentation, knowledge sharing, and the discovery of innovative use cases.


• AI Tool Configuration & Evaluation: Evaluate, configure, and recommend the right AI tools and platforms for the organization. Stay on top of the rapidly evolving AI tooling landscape and make informed build‑vs‑buy recommendations.


• Build Bespoke AI Solutions: Design, develop, and deploy custom AI solutions tailored to specific team needs—leveraging LLMs, RAG architectures, agentic workflows, and automation frameworks to solve real business problems.


• Create Resources & Artifacts: Develop reusable playbooks, prompt libraries, workflow templates, how‑to guides, and reference architectures that enable teams to self‑serve on AI adoption.


• Templatize AI Workflows: Architect and implement standardized, templatizable AI workflows that can be adapted and deployed across multiple teams and use cases, driving consistency and scale.


• Training & Teaching: Lead hands‑on training sessions, workshops, and demos to teach teams how to effectively use AI tools and integrate them into their day‑to‑day work. Act as a force multiplier by building AI fluency organization‑wide.


• Cross‑Functional Collaboration: Partner closely with Engineers, Business Systems, Security, Data Engineering, and other AI Solutions Engineers to integrate AI technologies into existing systems, ensuring security, compliance, and scalability.


• Strategic Planning & Roadmapping: Contribute to the AI strategy and roadmap at the organizational level, aligning initiatives with business priorities and ensuring AI investments deliver maximum value.


• Communicate & Evangelize: Present findings, demo solutions, share progress updates, and advocate for AI adoption with stakeholders ranging from individual contributors to executive leadership.

What you’ll bring:

• 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 track record of deploying solutions that measurably enhance productivity.


• 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 integration of LLM models into applications; familiarity with cloud hosting platforms (AWS, GCP, Azure).


• Demonstrated ability to lead enablement programs—including running office hours, hackathons, training sessions, and creating scalable documentation and resources.


• Proven experience gathering requirements from non‑technical stakeholders and translating them into well‑scoped technical solutions.


• Exceptional ability to tackle open‑ended, ambiguous problems in unstructured environments, synthesizing complex information into actionable plans and deliverables.


• Strong communication and presentation skills, with the ability to make complex AI concepts accessible to diverse audiences—from engineers to executives.


• A builder’s mindset: you are equally comfortable architecting a solution, writing production code, creating a training deck, and facilitating a workshop.


• A deep passion for AI and a genuine desire to help others harness its potential to transform how they work.

#LI‑TD1

Pay Transparency Disclosure

We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.

On‑target Earnings OR Base Salary range (San Francisco, CA)

$177,000 — $208,000 USD

What We Offer

• A fast‑paced and collaborative environment


• Learning and development allowance


• Competitive cash and equity compensation, and opportunity for advancement


• 100% medical, dental, and vision coverage


• Up to $25K reimbursement for fertility, adoption, and parental planning services


• Flexible PTO policy


• Monthly wellness stipend

At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In‑office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.

Equal Employment Opportunities at Checkr

Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.

Applicant Privacy Policy

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*Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., [e-mail] or [e-mail]).