Vice President, Artificial Intelligence

Role Description

The Vice President of AI is a strategic leadership role in AI reporting to the CIO at Enlyte. This position will establish and lead our new AI Center of Excellence (AICOE), driving the enterprise-wide artificial intelligence strategy, governance, and innovation. The ideal candidate will combine deep technical expertise in AI/ML with strong business acumen and leadership skills to provide guidance, establish standards, and foster innovation across the organization.

Key Responsibilities:

• Strategic Center of Excellence Leadership
  • Develop and execute Enlyte's enterprise AI Center of Excellence.
  • Advise the CIO and leadership team on emerging AI trends and technologies.
  • Provide executive sponsorship and oversight for responsible AI development across the organization.
  • Serve as the company's thought leader and evangelist for AI capabilities and adoption for both technical and non-technical stakeholders.
  • Build relationships with external partners and vendors in the AI ecosystem.
• Innovation & Enablement
  • Establish a framework for evaluating and adopting new AI technologies and approaches.
  • Identify or sponsor high-impact AI initiatives that improve operational performance, customer outcomes, and financial results.
  • Create reusable components, patterns, and accelerators to enable faster AI implementation.
  • Drive experimentation and proof-of-concepts for emerging AI technologies.
• AI Governance & Risk Management
  • Own enterprise-wide AI governance frameworks including ethics, privacy, and compliance, staying current with evolving AI regulations and industry standards.
  • Partner with legal, compliance, and security teams to ensure responsible AI use.
  • Establish processes for AI model validation, testing, and monitoring.
  • Mitigate risks associated with AI implementation including bias and explainability.
  • Define and enforce guardrails for AI development across the organization.
• Cross-Functional Collaboration
  • Collaborate with data teams to establish data quality standards for AI initiatives.
  • Work with cloud migration teams to align AI infrastructure with AWS strategy.
  • Engage with product teams to provide guidance on AI capabilities and best practices.
  • Facilitate knowledge sharing between business unit AI teams.

Qualifications

• Bachelor's degree in Computer Science, Data Science, related field, or equivalent experience. Advanced degree (MS or PhD) preferred.
• 15+ years of experience in data science, machine learning, or AI fields with expertise in healthcare, insurance, or related industries preferred.
• 5+ years in leadership roles related to AI governance, strategy, or innovation.
• Proven track record of establishing AI governance frameworks and standards.
• Experience collaborating with and influencing distributed AI teams.
• Hands-on experience with large language models (e.g., GPT, Claude, Llama) and configuring, prompt engineering and fine-tuning LLMs.
• Deep expertise in modern AI frameworks (PyTorch, TensorFlow, JAX) and their enterprise applications.
• Proficiency in implementing Retrieval-Augmented Generation (RAG) architecture.
• Experience with vector databases (e.g., Pinecone) and embedding models.
• Knowledge of MLOps practices and tools for model governance, monitoring, and lifecycle management.
• Understanding of AI infrastructure requirements, including GPU/TPU optimization.
• Experience with AI services like (Bedrock, SageMaker, etc.) or other cloud platforms.
• Experience with multimodal AI systems (text, image, audio) and their applications.
• Proficiency in Python and related data science libraries (pandas, scikit-learn, etc.).
• Understanding of data engineering principles for AI workloads.
• Experience with containerization and orchestration (Docker, Kubernetes) for AI deployments.

Benefits

• Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts.
• Life and AD&D Insurance.
• 401(k).
• Tuition Reimbursement.
• An array of resources that encourage a lifetime of healthier living.
• Compensation depends on the applicable US geographic market. The expected base pay for this position ranges from $232,000 - $250,000 annually, based on skills, experience, and education.