Mitchell International
Senior Director, Artificial Intelligence
Mitchell International, San Diego, California, United States, 92189
Mitchell International
Senior Director, Artificial Intelligence
US--Remote Mitchell International, Inc. Overview
Be part of a team that makes a real difference. Responsibilities
The Senior Director 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. As the AI thought leader for Enlyte, you will work closely with executive leadership to establish governance frameworks, identify innovation opportunities, and collaborate with existing business unit AI teams to ensure alignment with enterprise standards while enabling their success. This role focuses on governance, best practices, and innovation rather than centralized development of all AI solutions. Key Responsibilities Strategic Leadership & Governance Develop and execute Enlyte's enterprise AI strategy and governance framework Establish clear guardrails, policies, and standards for responsible AI development across the organization Serve as the company's thought leader and evangelist for AI capabilities and opportunities Advise the CIO and leadership team on emerging AI trends and technologies Champion AI adoption across the organization, driving cultural change and building awareness Create a centralized knowledge repository of AI best practices and lessons learned Innovation & Enablement Identify and incubate innovative AI use cases with high business impact potential Provide technical guidance and support to business unit AI teams Establish a framework for evaluating and adopting new AI technologies and approaches Create reusable components, patterns, and accelerators to enable faster AI implementation Foster cross-functional collaboration and knowledge sharing between AI teams Drive experimentation and proof-of-concepts for emerging AI technologies AI Governance & Risk Management Develop enterprise-wide AI governance frameworks including ethics, privacy, and compliance 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 Stay current with evolving AI regulations and industry standards Define and enforce guardrails for AI development across the organization Center of Excellence Leadership Build and lead a small, specialized team of AI/ML experts focused on governance and innovation Create communities of practice to connect AI practitioners across business units Establish training programs to upskill existing technical staff on AI capabilities Develop AI literacy programs for non-technical stakeholders Foster a culture of innovation and responsible AI use across the organization Cross-Functional Collaboration Partner with business unit AI teams to ensure alignment with enterprise standards 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 Build relationships with external partners and vendors in the AI ecosystem Facilitate knowledge sharing between business unit AI teams Qualifications
Required Experience 10+ years of experience in data science, machine learning, or AI fields 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 Strong technical background in modern AI/ML technologies and methodologies Experience with large language models (LLMs) and generative AI applications Bachelor's degree in Computer Science, Data Science, or related field Technical Expertise Requirements Deep expertise in modern AI frameworks (PyTorch, TensorFlow, JAX) and their enterprise applications Hands-on experience with large language models (e.g., GPT, Claude, Llama) and configuring, prompt engineering and fine-tuning LLMs 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 Expertise in evaluating and governing foundation models for specific domains Experience implementing AI governance tools and frameworks for responsible AI Understanding of AI infrastructure requirements, including GPU/TPU optimization Experience with AI services like (Bedrock, SageMaker, etc.) or other cloud platforms Knowledge of AI evaluation metrics and techniques for model assessment 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 Preferred Experience Experience in healthcare, insurance, or related industries Knowledge of AWS AI/ML services and infrastructure Background in building AI Centers of Excellence or similar functions Experience with responsible AI frameworks and ethical considerations Advanced degree (MS or PhD) in AI, Machine Learning, or related field Experience aligning multiple AI teams across business units to a common strategy Track record of successful AI governance implementation in enterprise environments What Sets This Role Apart This role offers a unique opportunity to: Establish enterprise AI governance and innovation frameworks in a growing organization Drive transformational change through AI innovation and best practices Work directly with executive leadership to shape strategic direction Influence the integration of AI with our cloud transformation journey Make a significant impact on our organization's responsible use of AI Shape the future of AI in the workers' compensation, auto and disability claims industry Equal employment opportunity, including veterans and individuals with disabilities.
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US--Remote Mitchell International, Inc. Overview
Be part of a team that makes a real difference. Responsibilities
The Senior Director 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. As the AI thought leader for Enlyte, you will work closely with executive leadership to establish governance frameworks, identify innovation opportunities, and collaborate with existing business unit AI teams to ensure alignment with enterprise standards while enabling their success. This role focuses on governance, best practices, and innovation rather than centralized development of all AI solutions. Key Responsibilities Strategic Leadership & Governance Develop and execute Enlyte's enterprise AI strategy and governance framework Establish clear guardrails, policies, and standards for responsible AI development across the organization Serve as the company's thought leader and evangelist for AI capabilities and opportunities Advise the CIO and leadership team on emerging AI trends and technologies Champion AI adoption across the organization, driving cultural change and building awareness Create a centralized knowledge repository of AI best practices and lessons learned Innovation & Enablement Identify and incubate innovative AI use cases with high business impact potential Provide technical guidance and support to business unit AI teams Establish a framework for evaluating and adopting new AI technologies and approaches Create reusable components, patterns, and accelerators to enable faster AI implementation Foster cross-functional collaboration and knowledge sharing between AI teams Drive experimentation and proof-of-concepts for emerging AI technologies AI Governance & Risk Management Develop enterprise-wide AI governance frameworks including ethics, privacy, and compliance 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 Stay current with evolving AI regulations and industry standards Define and enforce guardrails for AI development across the organization Center of Excellence Leadership Build and lead a small, specialized team of AI/ML experts focused on governance and innovation Create communities of practice to connect AI practitioners across business units Establish training programs to upskill existing technical staff on AI capabilities Develop AI literacy programs for non-technical stakeholders Foster a culture of innovation and responsible AI use across the organization Cross-Functional Collaboration Partner with business unit AI teams to ensure alignment with enterprise standards 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 Build relationships with external partners and vendors in the AI ecosystem Facilitate knowledge sharing between business unit AI teams Qualifications
Required Experience 10+ years of experience in data science, machine learning, or AI fields 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 Strong technical background in modern AI/ML technologies and methodologies Experience with large language models (LLMs) and generative AI applications Bachelor's degree in Computer Science, Data Science, or related field Technical Expertise Requirements Deep expertise in modern AI frameworks (PyTorch, TensorFlow, JAX) and their enterprise applications Hands-on experience with large language models (e.g., GPT, Claude, Llama) and configuring, prompt engineering and fine-tuning LLMs 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 Expertise in evaluating and governing foundation models for specific domains Experience implementing AI governance tools and frameworks for responsible AI Understanding of AI infrastructure requirements, including GPU/TPU optimization Experience with AI services like (Bedrock, SageMaker, etc.) or other cloud platforms Knowledge of AI evaluation metrics and techniques for model assessment 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 Preferred Experience Experience in healthcare, insurance, or related industries Knowledge of AWS AI/ML services and infrastructure Background in building AI Centers of Excellence or similar functions Experience with responsible AI frameworks and ethical considerations Advanced degree (MS or PhD) in AI, Machine Learning, or related field Experience aligning multiple AI teams across business units to a common strategy Track record of successful AI governance implementation in enterprise environments What Sets This Role Apart This role offers a unique opportunity to: Establish enterprise AI governance and innovation frameworks in a growing organization Drive transformational change through AI innovation and best practices Work directly with executive leadership to shape strategic direction Influence the integration of AI with our cloud transformation journey Make a significant impact on our organization's responsible use of AI Shape the future of AI in the workers' compensation, auto and disability claims industry Equal employment opportunity, including veterans and individuals with disabilities.
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