Staff AI Solutions Engineer
Company: Checkr
Location: San Francisco
Posted on: April 4, 2026
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Job Description:
About Checkr Checkr is building the data platform to power safe
and fair decisions. Established in 2014, Checkr’s innovative
technology and robust data platform help customers assess risk and
ensure safety and compliance to build trusted workplaces and
communities. Checkr has over 100,000 customers including DoorDash,
Coinbase, Lyft, Instacart, and Airtable. 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, Engineering,
Data Science, or equivalent experience. A graduate degree is a
plus. 5-7 years of experience in engineering, solutions
engineering, or technical enablement roles, with a track record of
deploying solutions that measurably enhance productivity. 4 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 tools
such as LangChain, LangGraph, LlamaIndex, OpenAI API, and similar;
familiarity with containerization (Docker, Kubernetes) and cloud
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. What you’ll get: A fast-paced and
collaborative environment Learning and development allowance
Competitive 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, home office stipend LI-TD1 Pay
Transparency Disclosure One of Checkr’s core values is
Transparency. To live by that value, we’ve made the decision to
disclose salary ranges in all of our job postings. 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 At Checkr, we believe a hybrid 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 If you are a California
resident or are located in Alberta or British Columbia, our
Applicant Privacy Policy applies to our collection and processing
of your personal information when you apply for a role with us or
otherwise participate in our recruitment process. *Legitimate
Checkr emails will always include our official domain name after
the @ symbol (e.g., name@checkr.com or name@ext.checkr.com ).
Keywords: Checkr, West Sacramento , Staff AI Solutions Engineer, IT / Software / Systems , San Francisco, California
