Chainguard

AI Solutions Engineer

Remote R&D Engineering role with clear candidate location fit.

PostedRecently added

Eligible countries3 accepted countries

Seniority signalOpen level

Work settingRemote

Accepted candidate locations

CanadaUSAUnited Kingdom

Python Snowflake Spark

Role overview

AI Solutions Engineer

Requirements and responsibilities

Readable role content extracted into sections for faster review.

What you’ll do:

Find high-leverage opportunities: Run listening tours and current-state assessments across functions. Identify and prioritize the workflows where AI can deliver outsized impact, weighing impact potential against feasibility, and focus on opportunities that can materially bend the revenue/opex curve.
Prototype and validate: Take prioritized use cases from idea to working prototype — internal workflow automations, reusable prompt systems and templates, AI-enabled tools and assistants, and early workflow integrations — to test whether an opportunity is worth broader investment.
Partner across the business: Work directly with functional owners, the AI Enablement Council, and AI Ambassadors to understand real workflow needs, validate selected opportunities, and build the business case and evidence base needed to inform investment decisions.
Build responsibly: Build and test using approved tools and established Legal and Security review pathways. Validate outputs, ensure clear human review, and maintain strong data hygiene. No AI tool is used on Chainguard, customer, or personal data until it has cleared review.
Make it visible and reusable: Document what you built, the problem it solves, and what you learned. Share your work across the company through Builder Hours, demos, and showcases, and surface recurring technical needs and reuse opportunities back to the AI Enablement Council.
Set the standard for internal AI building: Model responsible, high-quality AI building so that what you prototype can be handed off, scaled, and maintained by the functional experts who own the workflow.

What we’re looking for:

Experience: Minimum of 4 years building software, automation, or internal tooling, with excellent problem-solving skills and the ability to drive ambiguous, zero-to-one work independently.
Applied AI tooling: Hands-on experience using AI tools (e.g., Claude Code, Copilot, Cursor) in real work, and building on top of LLM APIs — tool/function calling, agents, prompt and context engineering, RAG, and patterns like MCP.
Builder and integrator: Able to wire together APIs, automations, and integrations across the SaaS systems a company runs on (e.g., Slack, Google Workspace, GitHub, Linear) into reliable internal tools and prototypes.
Product and consulting sense: Comfortable talking with non-technical stakeholders, framing problems, sizing impact, and prioritizing by impact and feasibility — translating fuzzy needs into shippable prototypes.
Development: Programming proficiency in at least one language, with strong preference for Go and/or Python.
Responsible-use mindset: Respects security, legal, and data-handling guardrails, and treats responsible AI use as part of doing the job well.
Communication: Strong communication skills, proficiency in English, and the ability to work autonomously in a remote, globally distributed team — taking initiative and seeking help proactively when needed.

Nice to haves:

Agent ecosystems: Experience building agent skills, MCP servers, or orchestration and automation frameworks.
From idea to adoption: A track record of turning internal workflow ideas into tools that teams actually adopt.
Cross-functional background: Experience in internal consulting, solutions engineering, or forward-deployed/applied roles.
Open Source: Actively involved in the open-source community.
Security: Interest in software supply chain security, secure SDLC, or responsible AI governance.

Explore our work:

https://www.chainguard.dev
Chainguard Academy

About Us

We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better.
We have a bias for intentional action — We prioritize, plan, try things, and fail fast.
We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey.
We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions.

About Us

Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs.
Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!).
100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck.
∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset.
18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year.

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