Domain Architect - Knowledge AI - Manager

The opportunity

We’re hiring an experienced agent AI Software Architect that is an expert in designing and implementing AI memory architectures and data fabric for complex enterprise use cases. This role is for a software AI professional who has leveraged advance memory architectures, context design, data fabrics for AI, multi-agent memory communication systems. You should be familiar with short term/long term, episodic, semantic, associative and advanced structural memory design patterns.  Both dedicated, shared and federated memory architectures.  Familiar with algorithmic approaches to selective retention and decay strategies. RAG, skills and other context setting capabilities using advance semantic chunking and search capabilities.  Understanding of inference optimization including distributed inference for prefill and decode, pipelining architectures/batching of inference.  The successful candidate is someone who has experience in enterprise multiagent design patterns.  Understanding of AI pre/post training, fine tuning/customization and model synthesis a plus.  The candidate should thrive in fast-paced environments and are passionate about enabling scalable AI solutions.

 

Your key responsibilities

• 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.