Domain Architect - Knowledge AI - Manager
$125,500 per year
ApplyDomain Architect - Knowledge AI - Manager
Posted yesterday
SENIORITY
Lead
SALARY
$125,500 per year
About the role
- Design memory architectures for multi-agent systems to be replicated across AI native designed systems.
- Design of context systems including RAG and Skills with semantic chunking and search.
- Implement and test these architectures benchmarking performance against agent and human designed evals.
- Design replicable integration frameworks for use of memory architecture across multiple systems.
- Drive agent design requirements and implement through AI Native design process..Assess through primary and secondary research emerging memory architectures and frontier model proposals.
- Collaborate with other architectural experts in AI, Security, Data and Infrastructure to insure balanced and practical outcomes.
- Support strategic business development activities for emerging technology as required.
- Present at academic conferences and support development of IP filings
- Hands on coding and mentoring other members of the Knowledge / Data team
- Skills and attributes for success
- Strong analytical and troubleshooting skills.
- Ability to lead software architectural product functions and mentor junior engineers.
- Comfort working across cross-functional teams and managing competing priorities.
- Build and manage strong internal and external partnerships by fostering trust, empathy, and mutual value.
- Leverage emotional agility and hybrid collaboration to navigate diverse stakeholder needs and drive long-term engagement.
- Use critical thinking and creative reasoning to address complex problems and exceed expectations.
- Align cross-functional teams around shared goals, ensuring accountability and progress. Use emotional intelligence and hybrid collaboration to motivate others and deliver high-impact results.
- To qualify you must have
- Advanced degree in Electrical Engineering, Computer Science or Mathematics.5+ years of experience in software engineering and AI.Experience working with AI Frontier models and memory / context architectures
- Use of AI native software development tools / code assist (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub)
- Familiarity with scripting languages (Python, Bash etc….) and software languages (Go, Rust, Java etc…).Understand AI Native design process and principles
- Deep understanding of model fine tuning and customization through context management (RAG, SFT, LoRA/PEFT etc…)Experience with modern software IDE, CI/CD pipeline, modern code hosting and collaboration (Github/Gitlab/Azure DevOps etc…)Experience with Nvidia NVAIE and MSFT Azure AI stacks.
- Ideally, you'll also have
- Experience with large-scale cross functional software development projects.
- Excellent communication and leadership abilities.
- What we offer you
- At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
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