Domain Architect - Knowledge AI - Manager

Role overview

Key responsibilities

• Design replicable memory architectures and context systems for multi-agent AI-native systems.
• Implement and test architectures using agent and human-designed evaluations and performance benchmarks.
• Design integration frameworks for applying memory architectures across multiple systems.
• Drive agent design requirements through an AI-native design process.
• Research emerging memory architectures and frontier model proposals.
• Collaborate with AI, security, data, and infrastructure architects on practical outcomes.
• Support emerging-technology business development, conference presentations, and intellectual property filings.
• Perform hands-on coding and mentor Knowledge and Data team members.

Required qualifications

• Advanced degree in Electrical Engineering, Computer Science, or Mathematics.
• At least five years of software engineering and AI experience.
• Experience with frontier AI models and memory or context architectures.
• Understanding of AI-native design processes and principles.
• Deep understanding of context-based model fine-tuning and customization, including RAG, SFT, and LoRA/PEFT.
• Experience with modern IDEs, CI/CD, code hosting, collaboration platforms, Nvidia NVAIE, and Microsoft Azure AI stacks.

Technical and professional skills

• Knowledge of short-term, long-term, episodic, semantic, associative, structural, dedicated, shared, and federated memory patterns is relevant to the role.
• Experience with semantic chunking, search, inference optimization, distributed inference, and batching is expected.
• The role values analytical troubleshooting, architectural leadership, cross-functional collaboration, communication, and mentoring.
• Large-scale cross-functional software development experience and strong communication or leadership abilities are preferred.

Compensation and benefits

• The stated base salary range is $125,500 to $230,200 across most United States locations and $150,700 to $261,600 in specified higher-cost areas.
• EY describes comprehensive compensation and benefits, including medical and dental coverage, pension, 401(k), and paid time off.
• The salary range does not state an explicit pay cadence; salary_period is set to unknown.

Workplace model

• EY describes a team-led, leader-enabled hybrid model.
• For most external client-serving roles, the expectation is to work together in person 40% to 60% of the time over an engagement, project, or year.