Principal Architect – Gen AI

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

📋 Description

• Take ownership of the enterprise vision and multi-year roadmap for Generative AI and Agentic AI architecture.

• Lead or co-chair executive architecture and AI governance forums.

• Oversee the strategy for the enterprise intelligence layer, which includes reference architectures, standards, reusable patterns, and platform capabilities.

• Define and manage the enterprise agentic AI strategy along with the platform blueprint.

• Establish enterprise patterns concerning multi-agent orchestration, reasoning, tool usage, memory, human-in-the-loop controls, observability, fail-safes, and lifecycle management.

• Set the enterprise standards for Generative AI and agentic solutions across AWS and Azure.

• Be responsible for the enterprise Retrieval-Augmented Generation strategy and shared frameworks.

• Create standards for knowledge governance, provenance, permissions, lineage, data quality, and approved knowledge sources.

• Define integration patterns for legacy systems and modern cloud services.

• Collaborate with Enterprise Architecture, Infrastructure, and Platform teams on identity, networking, monitoring, disaster recovery, and service management.

• Define common enterprise data architectures, ontologies, governance models, and operational practices with data, analytics, and platform teams.

• Set standards for AI-ready data products, metadata, semantic layers, and data quality thresholds.

• Act as the executive technical authority for security, risk, legal, compliance, and audit stakeholders.

• Establish methodologies for model governance, evaluation, red teaming, bias mitigation, explainability, and controls.

• Lead the enterprise AI architecture portfolio, prioritizing capabilities and investments.

• Define success metrics and monitor value realization.

• Collaborate with Technology and Business leadership to transition AI initiatives into operational settings.

• Build and nurture enterprise AI architecture talent, mentor senior architects, and foster communities of practice.

• Influence decisions regarding platforms, tooling, vendor strategy, and ecosystem partnerships.

• Represent the organization as a senior AI architecture leader in executive discussions and transformation initiatives.

• Fulfill additional responsibilities as assigned.

• Travel as necessary.

⛳️ Requirements

• Master’s degree in AI, Machine Learning, Computer Science, Engineering, or a quantitative field from an accredited institution is preferred.

• 10+ years of relevant, progressive experience in enterprise architecture, platform architecture, or large-scale solution architecture.

• 7+ years of experience leading the delivery and/or architecture of enterprise-scale Generative AI, Retrieval-Augmented Generation, and Agentic AI capabilities in complex corporate settings, or an equivalent combination of education and experience.

• Executive-level expertise with AWS AgentCore and Azure AI Agent Service.

• Mastery of agentic frameworks such as LangGraph and CrewAI.

• Experience in establishing enterprise AI governance, driving cross-line-of-business adoption, and operationalizing AI solutions within security, risk, and compliance frameworks.

• Proven ability to drive alignment and decision-making with executive stakeholders across Technology, Security, Risk, Legal/Compliance, and Lines of Business.

• Expertise in bridging Data Science, AI Engineering, and Enterprise Architecture.

• Advanced proficiency in Python, SQL, and PySpark.

• In-depth knowledge of vector stores like Pinecone, OpenSearch, and Azure AI Search.

• Expertise in LLM platforms and AI/ML lifecycle management.

• Leadership experience in AWS and Azure enterprise environments.

• Functional exposure to advanced analytics platforms like Palantir Foundry/AIP.

• Demonstrated success in operating within a Transformation Office or an enterprise innovation function.

• Ability to translate architectural decisions into measurable outcomes, cost efficiency, operational resilience, and risk reduction.

• Capacity to work collaboratively in a team environment.

• Ability to meet or exceed Performance Competencies.

🏝️ Benefits

• Work-life balance.

• Reasonable accommodations when applicable and appropriate.

• Equal Opportunity Employer.

• Drug-Free Workplace.