Insurance AI Architect

About the Role: The applicant should have deep, hands-on experience architecting, designing, and implementing enterprise-grade AI, Machine Learning, and Generative AI solutions, and experience leading technical teams delivering complex AI and automation engagements across industries. Applicants should have some of the following experience:

• Experience architecting and implementing AI/ML solutions across multiple domains, including:
• Generative AI and Large Language Model (LLM) based solutions
• Predictive and prescriptive Machine Learning models
• Computer Vision
• Natural Language Processing (NLP) and Conversational AIIntelligent Document Processing (IDP / iOCR)
• Agentic AI systems and multi-agent orchestration.
• Worked across the end-to-end AI solution lifecycle: use case discovery, data assessment, solution architecture, model development, deployment, and monitoring.
• Experience translating business problems into AI solution architecture using design thinking and structured problem-solving techniques.
• Hands-on experience designing AI/ML platform architectures on cloud-native and hybrid environments (AWS, Azure, GCP).Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures.
• Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines.
• Strong hands-on proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch.
• Experience with cloud AI/ML services such as Azure OpenAI, AWS Bedrock/SageMaker, and Google Cloud Vertex AI.Experience in data architecture and engineering to support AI initiatives, including data pipelines, feature stores, and data governance.
• Experience integrating AI solutions into enterprise systems and applications via APIs, microservices, and event-driven architectures.
• Experience with AI governance, responsible AI practices, model risk management, and data privacy/security considerations.
• Experience integrating AI/GenAI capabilities with automation platforms (e.g., UiPath, Power Automate) to enable intelligent automation.
• Travel to client sites and for practice work efforts is required on an as needed basis.

Additional Consulting Responsibilities: Client Relationship and Development: Leads team interactions with clients, including clients at senior levels. Anticipates and proactively addresses client’s needs. Earns client’s respect and appreciation. Client Delivery: Leads client delivery teams. Manages projects and drives projects to completion. Value and Expertise: Establishes focus area and concentrates deployment and delivery in that area. Establishes track record in focus area. Begins to contribute thought leadership and IP in focus area. People Development and Learning: Mentors and develops consultants on delivery teams. Ensures team members have skills needed to execute and deepen their expertise while on the project. Has counselees and meets them regularly. Helps them understand strengths and weaknesses, set realistic targets, and establish development plans that balance firm needs and personal aspirations. Consulting Behaviours: Develops focus area or specialization. Builds personal brand. Leads and mentors others. Cares about development of junior consultants and invests in their progression. Grows Infosys network outside of Consulting. Leverages relationships with other Infosys units to enhance client solutions and identify new opportunities for Consulting work. Reads situations and adjusts personal approach accordingly. Adopts behavior and language appropriate to the situation, to stay effective in different environments. Stays abreast of market developments in practice or discipline. Identifies threats and opportunities and positions to meet them; proactively learns new skills and abilities to stay relevant. Leadership and Firm Development: Leads delivery teams effectively, providing direction, guidance, motivation, course correction, and air cover as appropriate. Supports development of innovative thinking. Understands the Infosys Consulting business drivers and KPIs needed to build an effective and successful business. Represents Infosys through appropriate application of Infosys' sales and marketing materials/publications (service offerings, blog posts, etc.). Plays a key role in practice or firm-building activities. Takes bottom-line responsibility for firm building deliverables or activities. Sales: Supports Associate Partners and Partners in pursuit and proposal work. Identifies opportunities from client work and relationships; raises them to appropriate Associate Partner or Partner for action.