Executive Director, Agentic Lab – Architecture Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Define the technical architecture, reference patterns, and engineering standards for enterprise-level agentic AI capabilities.

• Establish reusable patterns for agent orchestration, memory, evaluation, observability, tool usage, RAG, APIs, and integration with enterprise systems.

• Lead the innovation roadmap for the Agentic Lab through rapid experimentation, technical validation, and controlled incubation.

• Assess foundation models, agent frameworks, orchestration technologies, developer tools, and emerging technical methods.

• Create reusable proof-of-concepts, accelerators, architectural blueprints, and reference implementations.

• Promote the adoption of shared technical assets and standards to minimize duplication and enhance scalability.

• Collaborate with AI Engineering, Platform Engineering, Product, Architecture, DDIT, security, and business teams to transition validated prototypes into production-ready enterprise capabilities.

• Ensure architecture readiness, technical documentation, risk assessment, and the smooth handoff of operating models.

• Integrate Responsible AI, security, privacy, accessibility, data governance, regulatory, and quality expectations into architectures and validation methods.

• Establish evaluation and monitoring criteria for reliability, explainability, performance, user safety, human oversight, and business value.

• Lead, mentor, and develop technical talent across agentic architecture and lab initiatives.

• Convey technical direction, architectural choices, trade-offs, risks, and investment requirements to senior stakeholders.

⛳️ Requirements

• Bachelor’s or advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related technical field.

• 12+ years of experience in designing enterprise software platforms, AI architectures, data/AI products, or cloud-native engineering capabilities, including technical leadership at an executive level.

• Extensive architectural expertise in LLMs, agent frameworks, multi-agent orchestration, RAG, vector and graph databases, tool/function calling, memory, evaluation, observability, APIs, event-driven patterns, and cloud-native deployment.

• Proven track record in defining enterprise reference architectures, standards, reusable patterns, technical guardrails, and validated blueprints for secure, scalable, and governed agentic AI deployment.

• Hands-on credibility in modern software engineering and AI delivery practices, including versioning, CI/CD, testing, release readiness, model/prompt evaluation, telemetry, cost/performance optimization, and operational support models.

• Demonstrated ability to transition emerging technologies through technical scouting, lab validation, architecture review, production readiness, and handoff into engineering roadmaps.

• Strong understanding of Responsible AI, security, privacy, data governance, human oversight, access control, prompt/model risk, auditability, and compliance requirements for regulated enterprise AI.

• Preferred: experience in developing enterprise agentic AI platforms, developer ecosystems, or AI architecture practices in regulated settings.

• Preferred: familiarity with Microsoft Azure AI Foundry/OpenAI, Semantic Kernel, Copilot Studio, LangChain/LangGraph, MCP/A2A protocols, knowledge graphs, GraphRAG, and enterprise search architectures.

• Preferred: experience influencing senior technology and business leaders on architecture trade-offs, investment decisions, platform reuse, operational risk, and scaling strategies.

• Preferred: a proven history of mentoring principal engineers, architects, AI engineers, and product teams.

• Preferred: successful delivery of agreed-upon agentic architecture, lab, technical validation, governance, and capability milestones within designated timelines.

🏝️ Benefits

• Performance-based cash incentive.

• Eligibility for annual equity awards, depending on the role level.

• Comprehensive health benefits.

• Life insurance benefits.

• Disability benefits.

• 401(k) plan with company contributions and matching.

• Paid vacation.

• Personal days off.

• Paid holidays.

• Various leave options.

• Reasonable accommodations for individuals with disabilities.