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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Architect, AI & Automation-Insurance - **Company:** Infosys - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $154,375.0 - $193,125.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Data Architecture, Data Governance, Python (Programming Language), Machine Learning, Automation of Marketing, OpenAI, Tensorflow, Azure Machine Learning, Systems Integration, Feature Store, Google Cloud, Enterprise Software Applications, Microsoft Power Automate, Pytorch, LangChain, Llamaindex, Generative AI, Event Driven Architecture, AI Platforms, Uipath, Information Technology, Machine Learning Operations, Azure AI, Semantic Kernel, GPT, Data Pipelines, Microservices - **Published:** October 8, 2026 - **Apply:** https://www.thejobnetwork.com/job/608b1c43-2730-4032-8872-852aa8e0ca20/insurance-ai-architect ## About the Role * Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures. \n * Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines. \n * Strong hands-on proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch. \n * Experience with cloud AI/ML services such as Azure OpenAI, AWS Bedrock/SageMaker, and Google Cloud Vertex AI. \n * Experience in data architecture and engineering to support AI initiatives, including data pipelines, feature stores, and data governance. \n * Experience integrating AI solutions into enterprise systems and applications via APIs, microservices, and event-driven architectures. \n * Experience with AI governance, responsible AI practices, model risk management, and data privacy/security considerations. \n * Experience integrating AI/GenAI capabilities with automation platforms (e.g., UiPath, Power Automate) to enable intelligent automation. \n * Travel to client sites and for practice work efforts is required on an as needed basis. \n, * Bachelor's degree in computer science, Engineering, Data Science, or a related field, or foreign equivalent required. \n * Cloud AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer) \n * Minimum of 10 years of relevant work experience with 2 years of experience in comparable consulting services. \n * Strategic mindset and the ability to lead and develop other team members. \n * Multitask, engage with stakeholders, plan effectively, and consistently achieve operational goals. \n * Excellent relationship-building abilities. \n * Ability to collaborate with resources in global delivery model. \n * Experience in leading programs using Agile and/or hybrid methodologies. ## Description * 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. \n * Client Delivery: Leads client delivery teams. Manages projects and drives projects to completion. \n * 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. \n * 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. \n * 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. \n * 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. \n * 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. \n