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Manomay Consultancy Services is seeking a Lead AI Architect to define and drive the company's enterprise AI vision across insurance and reinsurance programs. The ideal candidate will design scalable and secure AI platforms supporting various intelligent processes, ensuring compliance and governance throughout.
The role requires over 7 years of experience in technology, particularly designing AI platforms in the BFSI or FinTech sectors. Exceptional communication skills and a strategic mindset are essential for engaging senior stakeholders effectively.
Cloud AI services GenAI / LLMs MLOps Microservices Security frameworks Strategic thinking Enterprise architecture
As the Lead AI Architect, you will define and drive Manomay's enterprise AI vision across insurance and reinsurance transformation programs. You will design scalable, secure, and compliant AI platforms powering intelligent automation, underwriting analytics, RI processing, and document intelligence. Your leadership and technical depth will shape next-generation AI accelerators while enabling clients to achieve measurable business outcomes.
Reports to: Head of Technology, Delivery Director
Ai Strategy And Architecture
Define Manomay's AI reference architecture and roadmap aligned to business strategy, regulatory expectations, and client needs. Design cloud-native, modular AI platforms supporting structured and unstructured data.
Architect AI solutions across underwriting, claims, reinsurance, policy servicing, and operations using ML, GenAI, NLP, and automation frameworks.
Partner with delivery teams to ensure AI solutions are production-ready, scalable, secure, and resilient. Provide architectural governance across programs.
Engage senior client stakeholders to define AI adoption strategies, transformation roadmaps, and value realization plans.
Responsible A I And Governance
Embed explainability, fairness, auditability, security, and regulatory compliance into all AI designs.
Innovation And Accelerators
Lead the creation of Manomay AI accelerators and IP platforms such as document intelligence engines, underwriting copilots, and RI automation frameworks.
Coach architects and senior engineers, building a high-performance AI practice.
Education
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
Experience
7+ years in technology roles with 2+ years designing enterprise AI platforms, preferably in insurance, BFSI, or FinTech.
Technical Expertise
Cloud AI services, data platforms, GenAI/LLMs, MLOps, microservices, APIs, security frameworks.
Strong experience presenting to CXOs and leading strategic advisory engagements.
Strategic thinker with strong execution focus
Exceptional communication and stakeholder management
Passion for building scalable enterprise platforms
Continuous learner and innovation champion
Join our team and help transform the insurance industry through AI-driven innovation.