Tech Lead – Agentic Memory Architecture

About the Position

We are seeking a Tech Lead specializing in Agentic Memory Architecture to design the memory capabilities of an enterprise AI Agent Platform being built from the ground up.

Responsibilities

• Define the overall agent memory architecture and taxonomy, covering short-term and long-term memory.
• Design and implement memory capabilities using AWS AgentCore Memory, including resource configuration and namespace isolation.
• Define memory extraction strategies for conversation summaries, facts, preferences, and other durable contextual information.
• Design agent memory lifecycle patterns covering memory writes, retrieval, relevance filtering, and retention.
• Establish patterns for multi-session state management and agent personalization.
• Design memory-enabled agents using configuration-driven approaches and managed memory capabilities.
• Define and implement memory consolidation and relevance-scoring strategies.
• Establish observability for agent memory, including memory writes, retrieval effectiveness, and storage growth.
• Define appropriate retention and deletion mechanisms to support privacy and compliance requirements.
• Provide technical leadership and architectural guidance for teams implementing memory-enabled AI agents.
• Evaluate and integrate memory capabilities from frameworks such as LangChain and LangGraph, where appropriate.
• Support semantic memory use cases and integration with vector-based retrieval technologies.

Requirements

• Skills:
  • Agentic memory taxonomy - short-term (session continuity), long-term (durable facts, preferences)
  • AWS AgentCore Memory - resource provisioning, namespace isolation per agent, memory strategies
  • Memory extraction strategies - Summary (conversation summaries), Semantic (user facts/preferences)
  • Agent memory lifecycle - write-on-turn, retrieve-on-turn, relevance filtering, TTL retention
  • Memory-enabled agent design - configuration-driven memory without custom infrastructure
  • Agent memory observability - tracking memory writes, retrieval effectiveness, storage growth
• Experience:
  • 6+ years building AI/ML systems or conversational AI platforms
  • Designed memory or context management for LLM agents or chatbots
  • Multi-session state management and personalization systems
  • Data retention policies and compliance (GDPR user deletion)

Nice to Have

• AWS AgentCore Memory hands-on experience
• LangChain/LangGraph memory modules
• Vector databases for semantic memory (Pinecone, Chroma, FAISS)
• Memory consolidation and relevance scoring

We Offer

• Competitive salary
• Remote work options
• Professional development budget

About the Company

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.