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AI Innovation Strategist
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We are seeking a seasoned leader to drive large-scale AI strategy and execution within the insurance domain. The ideal candidate combines technical expertise, leadership skills, and business acumen with the ability to engage stakeholders and represent the organization as a thought leader in AI innovation.
Key Responsibilities:- Strategy & Roadmap
- Define and execute the Generative AI strategy across core insurance functions (underwriting, claims, fraud, pricing, customer experience).
- Identify business opportunities where AI/ML and LLMs can create measurable impact.
- Leadership & Team Management
- Lead, mentor, and scale global teams of data scientists, AI/ML engineers, and cloud specialists.
- Foster innovation through hackathons, proof-of-concepts, and capability-building programs.
- Architecture & Delivery
- Architect, design, and deliver LLM-powered solutions using OpenAI, LangChain, Falcon, Dolly, LLaMA, and similar frameworks.
- Oversee development and deployment of predictive, prescriptive, and generative AI models.
- Governance & Compliance
- Establish and enforce AI governance, ethical AI practices, and compliance frameworks.
- Ensure all solutions align with regulatory and data privacy requirements.
- Client Engagement & Thought Leadership
- Collaborate with insurance leaders and clients to co-create high-value solutions.
- Represent the organization in executive forums, client meetings, requests for proposal, and industry events.
- 20+ years in IT, including 10+ years in AI/ML and at least 3 years in Generative AI.
- Strong hands-on expertise with Python, PySpark, SQL, machine learning/d deep learning architectures.
- Proficiency with Generative AI frameworks and hands-on experience with Azure, AWS, and GCP.
- Strong exposure to MLOps, CI/CD pipelines, Kubernetes, DevOps tools for scalable AI delivery.
- Proven applications of AI/ML in claims automation, fraud analytics, underwriting, and policy servicing.
- Business acumen to translate insurance requirements into AI-driven solutions.
- Experience managing large-scale programs and global AI delivery teams.
- Strong stakeholder management skills with the ability to engage C-suite executives.
- Bachelor's Degree in Computer Science, Engineering, or related field (Master's preferred).
- Project Management Professional (PMP – PMI).
- Microsoft Certified: Azure Data Scientist & Azure AI Engineer.
- IBM-Coursera Data Science Professional.
- Scaled Agile (SAFe) Practitioner.
The ideal candidate will have a strong track record of driving innovation, automation, and transformation in enterprise settings.
