Software Architect - AI Accelerated Engineering Lead (West)
$158,000-$194,000
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Posted 44 days ago
SENIORITY
Lead
SALARY
$158,000-$194,000
About the role
- Redefine the AI-first SDLC: Design flows, patterns, and guardrails that integrate generative AI from ideation through operations.* Guild with context engineering: Apply and guide strategies like prompt templating, embeddings, retrieval-augmented generation, and data grounding to ensure AI-guided development is accurate, reliable, and safe.* Manage GenAI-aligned teams: Orchestrate multi-developer environments where AI agents and engineers work side by side, ensuring productivity, quality, and responsible adoption.* Ship AI-enabled platforms: Build and codify repeatable practices such as evaluation harnesses, code-review agents, context packs, and CI/CD hooks.* Stay hands-on: Own product architecture while prototyping and hardening AI-driven solutions using modern DevOps and observability practices.* Enable and transform: Coach teams and client stakeholders on AI-accelerated ways of working; translate complex AI concepts into clear business outcomes. What you'll bring* Experience: You should have significant experience (typically 6+ years) in building and operating production software. Leadership skills in system or platform architecture would be an asset. We welcome applicants with non-traditional career paths or equivalent skills gained through various experiences.* Hands-on AI-accelerated development: Daily use of agentic IDEs and advanced tooling (e.g., GitHub Copilot, Cursor, Claude Code) beyond basic chat interfaces.* Proven track record with GenAI integration: Experience delivering solutions where multiple developers collaborated with generative AI and AI agents using context engineering strategies.* Architecture expertise: Deep knowledge of APIs, microservices, eventing, reliability, and security.* Programming skills: Proficiency in languages like TypeScript/Node, Python, or Java; comfort with React/Next and modern frameworks.* Cloud & DevOps: Strong background with AWS/Azure/GCP, Kubernetes, CI/CD, IaC, and production observability.* Leadership & communication: Ability to guide teams, mentor engineers, and articulate value to both technical and business audiences. Bonus Skills* AI orchestration frameworks (LangChain, LlamaIndex), vector databases, or model routing experience.* MLOps, AI governance, or safety practices.* Contributions to open source or thought leadership in AI-accelerated engineering.
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