VP, AI Innovation & Enablement Leader

Why This Role Matters This VP, AI Innovation & Enablement leader will head an organization responsible for identifying emerging AI technologies, developing reusable patterns, and enabling teams across the enterprise to adopt them effectively. The role serves as the bridge between new AI capabilities and production implementation, ensuring the organization stays current with advances in generative AI and agent-based systems while maintaining strong engineering discipline. Job Overview Maintain strong awareness of the rapidly evolving AI ecosystem Translate new AI capabilities into practical engineering patterns Accelerate adoption of the enterprise AI platform across engineering teams Ensure experimentation leads to reusable capabilities rather than isolated prototypes Provide a clear feedback loop to the AI Platform organization on emerging needs Key Responsibilities AI Capability Discovery Large language models and reasoning models Agent frameworks and orchestration patterns Advanced retrieval architectures Multimodal AI systems Evaluation and benchmarking techniques Applied Experimentation Agent-based workflows Retrieval and knowledge access patterns Prompt engineering and reasoning workflows Tool-using AI systems Reusable Asset Development Reusable templates for AI applications Agent workflow frameworks RAG and knowledge integration patterns Small models / synthetic data Enterprise Enablement Advising teams designing AI-enabled systems Providing guidance on safe and reliable AI system design Running internal technical workshops and onboarding sessions Documenting best practices for AI application development AI Adoption & Technical Evangelism Demonstrating practical AI use cases and reference implementations Showcasing successful AI deployments internally Organizing engineering showcases, workshops, and hackathons Promoting consistent use of the enterprise AI platform We’re Looking For We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness , act with integrity , and are driven to help our clients succeed . We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. Requirements Minimum of 10 years experience in software engineering, machine learning engineering, or applied AI Experience designing or experimenting with modern AI systems (LLMs, RAG, or agent workflows) Experience with architecture thinking and ability to translate experimentation into practical engineering patterns Experience advising engineering teams or leading platform adoption initiatives Core Competencies Strong communication skills with the ability to engage both engineers and technical leadership Experience working in enterprise platforms or developer platforms Experience evaluating and delivering emerging technologies and frameworks Background in generative AI systems or applied machine learning Experience establishing and growing high performing teams Executive presence and ability to translate technology to business value Pay Range $163,875 - $273,125 per year EEO. #J-18808-Ljbffr LPL Financial