Chainguard

Technology

AISolutionsEngineering-SoftwareEngineer

CA$115–165k ~AI est. Canada Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“AI Solutions Engineering - Software Engineer at Chainguard. Skills: AI Solutions Engineering, Applied AI tooling, Internal prototype building. Find high-leverage opportunities. Run listening tours”

What You'll Achieve.

Materially change economics; Reduce frustration of stalled ideas; Build evidence base for investment

Industry & Context.

Technology
Problems you'll solve

Problem-solving skills; Root cause analysis

What They're Looking For.

Must Have

4 years building software, Programming proficiency in at least one language, Experience using AI tools, Building on top of LLM APIs, Wire together APIs, automations, and integrations, Comfortable talking with non-technical stakeholders, Framing problems, Sizing impact, Prioritizing by impact and feasibility, Respects security, legal, and data-handling guardrails

Nice to Have

Preference for Go, Preference for Python, Experience building agent skills, Experience building MCP servers, Experience building orchestration frameworks, Track record of turning internal workflow ideas into tools, Experience in internal consulting, Experience in solutions engineering, Experience in forward-deployed roles, Experience in applied roles, Actively involved in open-source community, Interest in software supply chain security, Interest in secure SDLC, Interest in responsible AI governance

What You'll Do.

Find high-leverage opportunities

Conduct current-state assessments

Identify workflows for AI impact

Prioritize workflows by impact

Weigh impact potential against feasibility

Bend revenue/opex curve

Prototype and validate use cases

Build internal workflow automations

Build reusable prompt systems

Build AI-enabled tools

Build early workflow integrations

Test opportunity worthiness

Partner with functional owners

Partner with AI Enablement Council

Partner with AI Ambassadors

Understand real workflow needs

Validate selected opportunities

Inform investment decisions

Build and test using approved tools

Follow Legal review pathways

Follow Security review pathways

Ensure clear human review

Maintain data hygiene

Document built solutions

Document problem solved

Document lessons learned

Share work across company

Surface recurring technical needs

Surface reuse opportunities

Model responsible AI building

Model high-quality AI building

Hand off prototypes for scaling

Hand off prototypes for maintenance

How You'll Work.

Team & Collaboration

Partner with functional owners; Work with AI Enablement Council; Work with AI Ambassadors; Globally distributed team

Communication Scope

English proficiency

Full Job Description

Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: Chainguard is becoming an AI company, and we’re hiring an AI Solutions Engineer to make that real in the daily work of every team. This is a dedicated, hands-on role with a clear mission: find the highest-leverage opportunities where AI can materially change the economics of how Chainguard operates — revenue, efficiency, and quality — and build the working prototypes that prove they work. The role is part internal consultant, part builder. You’ll partner with functional owners across the company (Engineering, GTM, Product, Operations, and beyond), the AI Enablement Council, and our AI Ambassadors to take prioritized use cases from idea to validated prototype. You’ll turn promising ideas into internal workflow automations, reusable prompt systems, AI-enabled tools and assistants, and early integrations — using approved tools, keeping humans in the loop, and holding a high security and quality bar. This is an applied tooling and building role, not a research role. You’ll work with tools like Claude Code, the Anthropic API, Glean, and the systems Chainguard already runs on. Your job is to reduce the frustration of great ideas stalling for lack of capacity or technical skill — and to build the evidence base that tells the company where to invest next. What you’ll do: Find high-leverage opportunities: Run listening tours and current-state ass

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