Partner Engineer
Builds reusable reference architectures, integrations, and enablement programs for cloud providers and systems integrators adopting LangChain’s agent platform. The role requires 7+ years of partner-facing technical experience, strong Python and LLM development skills, and familiarity with GCP or Azure.
About the job
Responsibilities
Cloud Partner Engineering (GCP, Azure)
- Build reference architectures and integration patterns supporting technical co-selling, including marketplace listings and joint solution briefs.
- Partner with cloud field and partner teams on solutioning for named accounts.
- Maintain marketplace presence and co-sell technical assets as LangChain, LangGraph, and LangSmith evolve.
Systems Integrator and GSI Enablement
- Build and run a services partner enablement program, including tiered certification tracks, hands-on workshops, delivery playbooks, and implementation guides based on the agent development lifecycle framework.
- Run regional partner certification programs, including certification workshops, project reviews, and guidance for partner engineers.
- Work with SI centers of excellence to develop repeatable joint solutions and reference architectures.
- Act as a technical evangelist with SI client account teams on specific engagements.
- Build and maintain joint business plans with strategic services partners, translating account and industry priorities into shared technical roadmaps and reference assets.
- Help SI teams develop technical champions into centers of excellence and support the spread of that expertise across their client base.
- Contribute technical enablement to the Tier 1 GSI strategy, including defining requirements for global systems integrators to establish agentic AI practices.
Partner Technical Evangelism and Feedback
- Serve as a technical escalation point for complex partner-led deployments.
- Represent the company at partner events, summits, and joint webinars.
- Gather partner and field feedback and route it to product and engineering teams.
Requirements
- 7+ years of experience in a technical, partner-facing, or customer-facing role such as Partner Engineer, Solutions Architect, or Sales Engineer.
- Experience partnering with systems integrators, cloud providers, or technology and ISV partners to solve complex technical problems from solution design through delivery.
- Experience building enablement programs such as certifications, workshops, or delivery playbooks.
- Ability to operate across engineering, partnerships, and sales.
- Strong presentation and technical communication skills, including communication with C-suite executives.
- Hands-on experience building with LLM frameworks such as LangChain, LangGraph, or similar, including RAG patterns and agent architecture.
- Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results.
- Strong Python skills.
- Working knowledge of GCP and/or Azure cloud services.
- Experience designing integrations, sample repositories, or reusable reference architectures.
- Familiarity with vector stores, tool integration, and API design in agentic systems.
Key Attributes
- Build credibility with partner technical teams and serve as a trusted advisor.
- Comfortable both writing integrations and presenting them at partner summits.
- Build scalable reference architectures and enablement guides.
- Adapt comfortably among cloud co-selling, ISV integrations, and SI enablement.
Compensation and Benefits
- Annual salary range: $170,000–$200,000 USD.
- Compensation may include base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
- Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and meals on in-office days in the US.
Skills
Python, LangChain, LangGraph, RAG, Llm Frameworks, Agent Architecture, Evaluation Frameworks, Prompt Engineering, GCP, Azure, Vector Stores, API Design, Marketplace Integrations, Reference Architectures, Technical Evangelism
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