AI-First Software Architect & Engineering Lead

Slalom; Washington (District of Columbia); In loco; USD 137.000 - 186.000; Tempo pieno

Vantaggi offerti da questo lavoro

Time off & holidays

Parental leave

401(k) with match

Health, dental, & vision coverage

Well-being reimbursement

Descrizione del lavoro

Slalom is seeking a Software Architect to own client solution architecture and drive AI-first engineering practices. You will lead teams to design, build, and operate AI-powered software while enabling customers to sustain value post-launch.

You’ll collaborate with engineers, product leaders, designers, and data practitioners to deliver ship-ready increments, applying guardrails, evaluation harnesses, and context engineering strategies.

Competenze

• 6+ years building and operating production software with proven leadership in system or platform architecture.
• Hands-on AI-accelerated development using agentic IDEs and advanced tooling beyond basic chat interfaces.
• Proven track record delivering GenAI-integrated solutions with context engineering strategies.
• Strong API, microservices, eventing, reliability and security knowledge.
• Proficiency in TypeScript/Node, Python, or Java; comfortable with React/Next and modern frameworks.
• Cloud & DevOps experience across AWS/Azure/GCP, Kubernetes, CI/CD, IaC and observability.

Mansioni

• Redefine the AI-first SDLC with flows, patterns, and guardrails for generative AI integration.
• Lead with context engineering: prompts, embeddings, retrieval-augmented generation, data grounding.

Conoscenze

AI-first engineering

TypeScript/Node

Python

Java

React/Next

AWS/Azure/GCP

Kubernetes

CI/CD

IaC

Observability

Leadership

Strumenti

GitHub Copilot

Cursor

Claude Code

Descrizione del lavoro

Slalom is seeking a Software Architect to own client solution architecture and drive AI-first engineering practices. You will lead teams to design, build, and operate AI-powered software while enabling customers to sustain value post-launch.

You’ll collaborate with engineers, product leaders, designers, and data practitioners to deliver ship-ready increments, applying guardrails, evaluation harnesses, and context engineering strategies.