AI Architect@ REMOTE||Louisville - KY

Enterprise AI & Agent Architecture

• Define enterprise reference architectures for AI Agents, Agent Factory, Agent Runtime, AI Control Plane, and AgentOps platforms.
• Establish architecture standards, design patterns, reusable frameworks, and implementation guardrails.
• Lead technical strategy for Agentic AI adoption across SDLC and business domains.
• Drive architecture reviews and technical governance for AI initiatives.
• Create roadmap for enterprise-scale multi-agent ecosystems and agent interoperability.

Agent Factory Leadership

• Own the technical vision for the Agent Factory platform.
• Define reusable agent frameworks, SDKs, templates, accelerators, and golden paths.
• Standardize agent lifecycle processes including Design * Build * Test * Publish * Run * Improve.
• Build reusable agent components such as:

o Memory services o Context engineering o Workflow orchestration o Business rules engines o Tool registries o MCP integration patterns o Agent-to-Agent communication frameworks o Accelerate delivery through reusable agent assets and shared services AI Platform Engineering

• Architect and build enterprise AI platforms supporting developer productivity and self-service adoption.
• Design cloud-native AI infrastructure leveraging Kubernetes, AI runtimes, model serving, and orchestration frameworks.
• Establish platform engineering practices for scalability, resiliency, observability, and security.
• Partner with infrastructure teams to create enterprise-grade AI environments.

AI for SDLC Enablement

• Lead development of AI agents supporting:

o Requirements engineering o Architecture design o Development o Code review o Testing o Security validation o Release management o Production operations

• Establish AI evaluation frameworks and quality gates throughout the SDLC lifecycle.
• Ensure AI solutions improve developer productivity and software quality outcomes.

Technical Leadership

• Serve as the highest-level technical advisor for AI Enablement.
• Mentor architects, principal engineers, senior engineers, and engineering teams.
• Lead proof-of-concepts, proof-of-technologies, and innovation programs.
• Drive enterprise adoption of emerging AI technologies and practices.
• Influence executive stakeholders on strategic AI investments.

Responsible AI & Governance

• Partner with Enterprise Architecture, Security, Risk, and Compliance teams.
• Design governance controls and approval workflows for AI solutions.
• Establish AI evaluation, testing, monitoring, and operational standards.
• Ensure compliance with Responsible AI policies and enterprise security requirements.

AgentOps & Operational Excellence

• Define reliability, observability, and operational standards for AI agents.
• Create telemetry, monitoring, tracing, and optimization frameworks.
• Establish FinOps and cost governance practices for AI workloads.
• Lead production readiness reviews and operational maturity assessments., Success Metrics (First 12 Months)
• Deliver enterprise Agent Factory platform.
• Enable 10+ reusable agent frameworks and templates.
• Achieve >70% reuse of common AI components.
• Reduce AI solution delivery time by 50%.
• Establish enterprise AI architecture standards and governance gates.
• Launch production-ready AI for SDLC capabilities.
• Create self-service onboarding experience for engineering teams.
• Implement AgentOps platform with enterprise observability and compliance controls.

Leadership Expectations

• Think and operate at AVP/Chief Architect level.
• Influence without authority across organizational boundaries.
• Drive enterprise standards and technical strategy.
• Balance innovation with governance.
• Build reusable platforms rather than one-off solutions.
• Act as the technical face of AI Enablement across the enterprise.
• Continuously challenge existing approaches and introduce industry-leading AI engineering practices.

Years of Experience: 12.00 Years of Experience Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company., Become a part of our caring community Humana is seeking a Lead Cloud Architect - NoSQL Databases to provide strategic leadership, architecture direction, and engineering oversight…

• 1 day ago +

• Large Language Models (LLMs)
• Agentic AI frameworks
• Multi-agent architectures
• RAG and Knowledge Systems
• Vector Databases
• Kubernetes and Cloud Platforms
• Python, Java, TypeScript, or equivalent
• API and Microservices Architecture
• AI Evaluation and Benchmarking
• MLOps / LLMOps / AgentOps
• Observability and Telemetry Platforms
• Security and Responsible AI Practices, * Bachelor’s degree in Computer Science, Engineering, or related discipline.
• Master’s degree preferred., * 12+ years of software engineering and architecture experience.
• 7+ years of cloud-native architecture and platform engineering.
• 5+ years building AI/ML, GenAI, or Agentic AI solutions.
• Experience leading enterprise-scale platform initiatives.
• Proven success influencing senior technical and business leaders.

• $142,300-195,700 per year