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# Lead Architect (AI & Agentic Systems)

- **Company:** LA International Computer Consultants Ltd
- **Location:** Halifax, VA, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, ARM Architecture, Audit Trail, Cloud Engineering, Memory Management, Fault Tolerance, Identity and Access Management, Automation of Marketing, Systems Architecture, Systems Integration, Enterprise Software Applications, Chatbots, LangChain, Retrieval-Augmented Generation, System Availability, Large Language Models, Multi-Agent Systems, Llamaindex, Generative AI, Agentic-AI, Rate Limiting, Event Driven Architecture, Kubernetes, Data Lineage, Machine Learning Operations, Api Design, Model Context Protocol, AIOps, Docker, Microservices
- **Published:** October 15, 2026
- **Apply:** https://computerjobs.com/us/en/mob/job/F3631EFAAFD5D206F4

## About the Role

* 8+ years of experience in enterprise software architecture, with at least 3+ years leading AI/ML or LLM-integrated platform architectures.
 * Deep understanding of agentic orchestration protocols, Model Context Protocol (MCP), tool-use patterns, and multi-agent coordination.
 * Proven track record with LangChain, LlamaIndex, vector databases, chunking strategies, embeddings, and context-window optimization.
 * Strong expertise with Kubernetes, Docker, microservice decoupling, event-driven architecture, and REST/gRPC API design.
 * Hands-on experience defining and enforcing Kubernetes architectural standards including pod design, namespace isolation, resource quotas, HPA/VPA autoscaling, and rolling deployment strategies to ensure fully stateless, production-grade workloads.
 * Hands-on experience designing robust IAM, VPC-SC, rate limiting, and audit logging for AI/ML workloads.
 * Proven experience in AI, AIOps, intelligent automation, and enterprise architecture.
 * Strong understanding of conversational AI, large language models (LLMs), agent-based solutions, and automation platforms.
 * Experience defining target-state architectures, strategic roadmaps, and digital transformation initiatives.
 * Knowledge of IT Service Management (ITSM), operational processes, incident management, and service delivery models.
 * Strong stakeholder engagement and consulting skills with the ability to translate business objectives into technology strategies.
 * Experience leading cross-functional teams and influencing senior business and technology stakeholders.
 * Familiarity with cloud-native architectures, APIs, integration patterns, governance, security, and compliance frameworks.
 * Excellent analytical, problem-solving, communication, and presentation skills.

## Description

* Define and refine the long-term vision, strategy, and target architecture for AI-enabled operational services.
 * Conduct discovery, assessment, and analysis of existing capabilities and operational processes.
 * Identify opportunities for automation, self-service, and service optimisation.
 * Develop strategic roadmaps and implementation plans aligned to business outcomes.
 * Provide architecture leadership and technical guidance throughout the transformation journey.
 * Collaborate with stakeholders to prioritise initiatives and define delivery approaches.
 * Ensure solutions meet governance, security, compliance, and operational requirements.
 * Support the transition from strategy and design into implementation and adoption.
 * System Architecture & Strategy: Define the target architecture for agentic workflows, multi-agent orchestration, and Model Context Protocol (MCP) integrations across enterprise systems.
 * Platform Scalability & Cloud Native Design: Architect decoupled, stateless microservices tailored for Kubernetes containerization, ensuring high availability, fault tolerance, and zero-downtime deployments.
 * RAG & Memory Management Architecture: Oversee the architectural blueprint for Retrieval-Augmented Generation (RAG), vector knowledge stores (Cortex), and hybrid session memory (short-term & long-term persistence).
 * Governance, Security & Responsible AI: Design security controls, data lineage, and privacy frameworks (including long-term data deletion and compliance guardrails) in strict alignment with Responsible AI standards.
 * Cross-Functional Leadership: Guide senior engineers and technical leads through architectural decision records (ADRs), technical governance gates, and solution reviews.
 * Kubernetes Platform Governance: Define and enforce architectural standards for Kubernetes-based deployments, including pod design principles, namespace isolation, resource quotas, autoscaling strategies (HPA/VPA), and rolling deployment patterns ensuring TESSA's agentic services operate as fully stateless, resilient, and production-grade workloads across cluster environments.