Chainguard
Technology
AISolutionsEngineering-SoftwareEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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.
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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