Senior AI Architect: Memory & Multi-Agent Systems

EY

Dallas (TX)

Hybrid

USD 144,000 - 329,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Competitive compensation package
Medical and dental coverage
Pension and 401(k)

Job summary

EY is seeking an experienced Lead AI Software Architect to design memory architectures and data fabrics for complex enterprise use cases. You will lead a team of AI Architects, shaping multi-agent systems and scalable AI solutions in a fast-paced environment.

You will mentor engineers, collaborate across AI, Security, Data and Infrastructure, and contribute to strategic business development and IP filings. A strong background in memory/context architectures, RAG, and model tuning is essential.

Qualifications

  • Advanced degree required in EE, CS, or Mathematics.
  • 10+ years in software engineering and AI.
  • Experience with AI frontier models and memory/context architectures.
  • Familiarity with scripting languages (Python, Bash) and languages (Go, Rust, Java).
  • Understanding of AI native design process and context management (RAG, SFT, LoRA/PEFT).

Responsibilities

  • Design memory architectures for multi-agent systems.
  • Develop context systems with RAG and semantic search.
  • Benchmark architectures against AI and human evals.
  • Create replicable integration frameworks across systems.
  • Lead and mentor Knowledge/Data team members.

Skills

Architectural design
Leadership
Cross-functional collaboration
Mentoring
Problem solving
Analytical thinking

Education

Advanced degree in Electrical Engineering, Computer Science or Mathematics

Tools

Cursor
Claude Code
Qodo/Codium
Gemini
AWS Q
GitHub

Job description

EY is seeking an experienced Lead AI Software Architect to design memory architectures and data fabrics for complex enterprise use cases. You will lead a team of AI Architects, shaping multi-agent systems and scalable AI solutions in a fast-paced environment.

You will mentor engineers, collaborate across AI, Security, Data and Infrastructure, and contribute to strategic business development and IP filings. A strong background in memory/context architectures, RAG, and model tuning is essential.

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