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AInsurtech (P) Ltd

AInsurtech Private Limited, Module #2705, Yamuna Building, Phase III, Technopark , 695583

Assistant Manager - AI Advisory & Engineering

Closing Date:05,Aug 2026
Job Published: 05,July 2026
Contact Email: hr@ainsurtek.com

Brief Description

We are seeking an experienced Assistant Manager to join our AI Advisory & Engineering (AAE) practice. This client-facing role is for a professional who can lead AI strategy, product, and engineering workstreams, bridging business needs with technical delivery. The successful candidate will lead AI opportunity discovery, own solution architecture and delivery oversight, coordinate cross-functional teams, and support the continued growth of the AAE practice.

 

        Lead AI readiness assessments, maturity benchmarking, and adoption-roadmap development for client organizations across industries.

        Build ROI-driven business cases for AI initiatives, and advise clients on AI governance, responsible-AI frameworks, and regulatory compliance considerations.

        Lead discovery workshops, stakeholder interviews, and design-thinking sessions to define AI product vision, scope, and prioritized use cases.

        Own the product/solution backlog, define functional and non-functional requirements (performance, scalability, safety, explainability), and drive delivery against KPIs and business outcomes.

        Architect and oversee AI automation and agentic workflows, end-to-end RAG pipelines (ingestion, chunking, embedding, retrieval, re-ranking, generation), and integrations with enterprise systems via APIs, webhooks, and MCP/tool-use implementations.

        Direct the design, training, and evaluation of ML/LLM-based solutions, including fine-tuning approaches and evaluation frameworks for accuracy, faithfulness, and reliability.

        Oversee MLOps practices for production AI systems, including deployment, monitoring for drift and performance degradation, and compliance with auditability and fairness requirements.

        Act as the day-to-day engagement/product lead for allocated clients, facilitate workshops, manage stakeholder expectations, resolve delivery issues, and escalate key matters appropriately.

        Prepare and review client reports, roadmaps, executive presentations, and product demos for clarity, accuracy, and business relevance.

        Review work prepared by consultants, coach team members, and contribute to proposals, RFP/RFI responses, scoping discussions, and practice-development initiatives.

Preferred Skills

        5-6 years of relevant experience in AI/data strategy consulting, AI product management, AI engineering, or ML/data science, with proven experience leading or independently managing workstreams.

        Strong understanding of AI/ML concepts: LLMs, generative AI, NLP, agentic systems, and the model/product lifecycle (data quality, drift, hallucination, bias).

        Hands-on familiarity with LLM frameworks (LangChain/LangGraph/LlamaIndex), vector databases, and cloud AI platforms (AWS, Azure, GCP) at an architectural level.

        Working knowledge of responsible-AI and governance frameworks such as NIST AI RMF, EU AI Act, and ISO/IEC 42001, with the ability to apply them pragmatically.

        Ability to read and interpret Python or pseudocode to communicate precisely with engineering teams, and to critically evaluate AI vendor claims and proof-of-concept outcomes.

        Strong project-management, stakeholder-management, report-writing, presentation, and team-coaching capabilities.

 

        Bachelor's or Master's degree in Computer Science, Business Administration, Information Systems, Data Science, or a related discipline.

        Professional certification such as PMP, TOGAF, Agile/Scrum, CBAP, CSPO, or AI-focused credentials (Google Cloud AI, AWS AI Practitioner) is preferred.