AI Enablement​/Innovation Lead

AI Enablement / Innovation Lead
•

Location:

Rancho Bernardo, CA – Hybrid (approx. 3 days onsite; flexible based on team needs)

Engagement:
Temp-to-Perm

Join a major enterprise environment supporting thousands of endusers and hundreds of mission critical applications across cloud, lowcode, and legacy platforms. You'll play a pivotal role in shaping its next phase of AI-driven transformation.

With 400+ applications, substantial AWS cloud adoption, and several nocode/lowcode workflows already in motion, this is an opportunity to build AI solutions at true enterprise scale
.

The AI Enablement / Innovation Lead is a hands‑on builder and strategist who will architect, design, and deliver enterprise AI capabilities centered primarily on AWS
, especially Amazon Bedrock and its surrounding ecosystem.

You'll create AI agents, orchestrate multi‑agent solutions, guide engineering teams, build integrations, solve complex technical blockers, and help shape an enterprise‑wide AI roadmap.

Experience with
Google Vertex AI or Microsoft Copilot is a plus, but AWS is the priority.

AI Architecture & Build

• Create AI agents and orchestrate multi‑agent solutions.
• Develop multi‑agent collaboration models.
• Build knowledge bases and retrieval workflows.
• Implement guardrails, grounding, evaluation, and prompt strategy.

Build serverless components using

• AWS Lambda, API Gateway, S3, Dynamo
  
  DB, Step Functions.
• Develop low‑code integrations using Lambda and other AWS services.

Technical Leadership & Enablement

• Advise architects, developers, and application teams on best practices.
• Provide architectural patterns and troubleshoot complex issues.
• Research emerging models, tools, connectors, and capabilities.
• Recommend technical approaches for new business requirements.

Cross‑Functional Collaboration

• Partner with product, application, and cloud teams to design end‑to‑end AI integrations.
• Support solution scoping, feasibility assessments, and estimation.
• Ensure AI capabilities integrate smoothly into low‑code and traditional environments.

Cloud AI Breadth

• Primary: AWS (Bedrock, Serverless, Model Ops).
• Secondary:
  Google Vertex AI.
• Tertiary:
  Microsoft Copilot / Azure AI.

Operational & Process Leadership

• Contribute to AI governance, cost optimization, and model selection.
• Help build internal documentation, patterns, and reusable components.
• Support the recruiting pipeline by identifying strong hands‑on AI builders.

Core AI & AWS Expertise (Must Have)

• Extensive hands‑on experience with AWS Bedrock, including model selection (Anthropic, Titan, Llama, Cohere, etc.), agent‑based architectures, knowledge bases, grounding, guardrails, LLM lifecycle and prompt engineering.

Proven ability to build AWS‑native solutions using:

• Lambda, API Gateway, Textract, Kendra, S3, IAM.
• Strong understanding of multi‑agent frameworks and orchestration patterns.

Software Engineering & Integration

• Building and consuming APIs in AWS.
• Integrating LLM workflows into applications and low‑code platforms.
• Experience with event‑driven and serverless architectures.

Cloud Platform Breadth

• Working knowledge of Google Cloud / Vertex AI.

Problem Solving & Leadership

• Ability to advise and mentor teams.
• Strong research and solution‑creation mindset.
• Excellent communication with technical and business stakeholders.

• Enterprise‑scale AI deployment experience.
• Low‑code platform experience (Power Apps, Out Systems, Service Now App Engine, etc.).

AI Strategy & Road mapping

• Define and execute multi‑year AI roadmaps.
• Identify high‑value AI use cases across the enterprise.
• Lead POCs and prototypes for emerging AI capabilities.

Enablement & Change Management

• Deliver workshops, internal training, and AI literacy programs.
• Build AI adoption playbooks and 'AI Champion' communities.

Innovation Leadership

• Act as an internal catalyst for AI‑driven transformation.
• Translate organizational needs into actionable AI solutions.

Integration & SaaS Expertise

• Bring AI capabilities into existing enterprise systems and SaaS providers.
• Improve workflows and productivity with AI‑assisted tools.

Governance &…