Lead Architect

Eames Consulting Group

United States

On-site

USD 150,000 - 190,000

Full time

14 days+

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Job summary

Eames Consulting Group is seeking a Product Area Lead Architect to provide hands-on architectural leadership across multiple product teams in the United States. This Principal-level role combines strategy with practical execution, guiding design decisions and resolving cross-team dependencies.

You will mentor senior engineers, shape scalable distributed systems and APIs, and drive modern cloud-native architectures with a focus on governance, security, and performance.

Qualifications

  • 8–12+ years in software engineering and architecture.
  • Deep understanding of distributed systems and modern architecture.
  • Experience designing and evolving APIs and SaaS platforms.
  • Cloud-native experience, preferably AWS.
  • Experience with GenAI/LLMs, RAG, or ML integrations.
  • Experience working across multiple engineering teams.
  • Strong communication and technical leadership skills.
  • Pragmatic approach to architecture — able to balance long-term strategy with immediate execution.
  • Hands-on experience with AI coding tools such as Cursor, Claude, GitHub Copilot, or similar.

Responsibilities

  • Lead architecture across multiple autonomous engineering teams.
  • Identify and address architectural gaps, technical debt, and scalability risks.
  • Design scalable distributed systems, APIs, and cloud-native architectures.
  • Establish standards around APIs, authentication, observability, resiliency, and frontend architecture.
  • Guide modernization and decomposition of legacy systems.
  • Partner with Engineering, Product, Data Science, Platform, and DevOps teams.
  • Architect GenAI/LLM solutions, including RAG, conversational AI, and model integrations.
  • Establish responsible AI patterns around evaluation, privacy, guardrails, and output validation.
  • Help scale the effective use of AI coding tools across engineering.
  • Mentor senior engineers and architects while raising overall architectural maturity.

Skills

Distributed systems
APIs design
Cloud architecture
GenAI/LLMs integration
Technical leadership
Cross-team collaboration

Tools

AWS
Cursor
Claude
GitHub Copilot

Job description

I’m working with a growing technology organization looking for a Product Area Lead Architect to provide hands-on architectural leadership across multiple product teams.

This is a Principal-level architecture role, but it’s not an “ivory tower” position. You’ll be deeply involved with engineering teams, helping solve complex technical problems, establish standards, manage cross-team dependencies, and turn architectural strategy into practical execution.

What you’ll be doing:
  • Lead architecture across multiple autonomous engineering teams
  • Identify and address architectural gaps, technical debt, and scalability risks
  • Design scalable distributed systems, APIs, and cloud-native architectures
  • Establish standards around APIs, authentication, observability, resiliency, and frontend architecture
  • Guide modernization and decomposition of legacy systems
  • Partner with Engineering, Product, Data Science, Platform, and DevOps teams
  • Architect GenAI/LLM solutions, including RAG, conversational AI, and model integrations
  • Establish responsible AI patterns around evaluation, privacy, guardrails, and output validation
  • Help scale the effective use of AI coding tools across engineering
  • Mentor senior engineers and architects while raising overall architectural maturity
What we’re looking for:
  • 8–12+ years in software engineering and architecture
  • Deep understanding of distributed systems and modern architecture
  • Experience designing and evolving APIs and SaaS platforms
  • Cloud-native experience, preferably AWS
  • Experience with GenAI/LLMs, RAG, or ML integrations
  • Experience working across multiple engineering teams
  • Strong communication and technical leadership skills
  • Pragmatic approach to architecture — able to balance long-term strategy with immediate execution
  • Hands-on experience with AI coding tools such as Cursor, Claude, GitHub Copilot, or similar
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