Job Requirements

.Role Summary The AI Lead will be responsible for defining and executing the AI strategy, driving the development of predictive analytics, intelligent insights, and GenAI-powered capabilities that enhance pricing intelligence, market benchmarking, and user decision-making. The role will work closely with business stakeholders, product teams, architects, data engineers, actuaries, and development teams to deliver scalable, secure, and responsible AI solutions.

Key Responsibilities

AI Strategy and Leadership

- Define and own the AI roadmap aligned with the product vision and business objectives.
- Identify, evaluate, and prioritize AI/ML and Generative AI use cases that deliver measurable business value.
- Provide technical leadership and guidance on AI architecture, tools, frameworks, and best practices.

AI Solution Design and Delivery

- Design and oversee development of predictive models, recommendation engines, anomaly detection capabilities, and market intelligence solutions.
- Lead the implementation of GenAI features, including natural language search, conversational analytics, automated insights, and report summarization.
- Ensure AI solutions are scalable, secure, performant, and aligned with enterprise architecture standards.

Data and Model Governance

- Establish AI governance frameworks, model validation processes, and responsible AI practices.
- Drive model monitoring, performance measurement, explainability, bias detection, and compliance activities.
- Partner with data engineering teams to ensure data quality, lineage, and readiness for AI initiatives.

Business Collaboration

- Collaborate with Product Owners, business stakeholders, subject matter experts, and actuarial teams to translate business challenges into AI-enabled solutions.
- Define success metrics, KPIs, and expected business outcomes for AI initiatives.




- Communicate AI strategy, progress, risks, and recommendations to executive stakeholders.

Innovation and Continuous Improvement

- Evaluate emerging AI technologies and industry trends relevant to insurance, benefits, and market intelligence platforms.
- Lead proof-of-concepts and innovation initiatives to enhance the product roadmap.
- Promote AI adoption and best practices across product and engineering teams.

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
- 10 years of experience in software engineering, data science, analytics, or AI/ML solution delivery.
- 5 years of experience leading AI/ML initiatives in enterprise environments.
- Robust experience with machine learning, predictive analytics, NLP, and Generative AI technologies.
- Experience with cloud-based AI platforms such as Azure AI, AWS AI/ML, or Google Vertex AI.
- Strong understanding of data architecture, model lifecycle management, and MLOps practices.
- Excellent stakeholder management and communication skills.

Preferred Qualifications

- Experience in insurance, benefits consulting, actuarial analytics, or financial services.
- Familiarity with pricing intelligence, benchmarking, market analytics, or decision-support platforms.
- Experience with Responsible AI governance and regulatory compliance frameworks.
- Knowledge of modern AI frameworks such as OpenAI, LangChain, Azure OpenAI, TensorFlow, PyTorch, and vector-based search architectures.

Success Measures

- Delivery of AI-enabled capabilities aligned to the product roadmap.
- Improved user productivity and time-to-insight.
- Adoption and utilization of AI-driven features.
- Accuracy, reliability, and performance of deployed AI models.

Achievement of business outcomes through AI-driven insights and

📌 AI Lead (Pune)
🏢 Xoriant
📍 Pune