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# Software Architect - AI Accelerated Engineering Lead (Central)

- **Company:** Slalom, LLC
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $133,000.0 - $163,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Computer Programming, Continuous Integration, Cursor (Graphical User Interface Elements), DevOps, Python (Programming Language), Node.Js, Open Source Technology, Systems Development Life Cycle, TypeScript, Web Application Frameworks, Google Cloud, GitHub Copilot, ReactJS, Retrieval-Augmented Generation, Multi-Agent Systems, Generative AI, Event Driven Architecture, Kubernetes, Machine Learning Operations, Microservices
- **Published:** August 10, 2026
- **Apply:** https://www.jofdav.com/jobs/59175752-software-architect-ai-accelerated-engineering-lead-central

## About the Role

* 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.

## Description

* 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.


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