Vice President, Artificial Intelligence

Company Overview

At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.

Be part of a team that makes a real difference.

Job 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

We’re committed to supporting your ultimate well-being through our total compensation package offerings that support your health, wealth and self. These offerings include Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts, Life and AD&D Insurance, 401(k), Tuition Reimbursement, and an array of resources that encourage a lifetime of healthier living. Benefits eligibility may differ depending on full-time or part-time status. Compensation depends on the applicable US geographic market. The expected base pay for this position ranges from $232,000 - $250,000 annually , and will be based on a number of additional factors including skills, experience, and education.

The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Don’t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

#LI-MP1

#LI-Remote

#ENT

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.

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.