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AInsurtech (P) Ltd

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

Consultant - AI Advisory & Engineering

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

Brief Description

We are looking for a motivated Consultant to join our AI Advisory & Engineering (AAE) practice. The role supports client engagements spanning AI strategy and business analysis, AI-powered solution development, and applied data science. The successful candidate will work closely with senior team members to identify AI opportunities, support the design and build of AI/ML solutions, and help clients adopt AI responsibly and effectively.

 

        Support AI readiness assessments, maturity benchmarking, and opportunity-identification workshops for client organizations.

        Assist in stakeholder interviews, process mapping, and as-is/to-be analysis to surface high-value AI use cases.

        Contribute to Business Requirement Documents (BRDs), functional specifications, and AI solution briefs under senior guidance.

        Support the development of AI-powered tools for document analysis, data extraction, summarization, classification, and workflow automation.

        Assist in building and testing Retrieval-Augmented Generation (RAG) pipelines, including data ingestion, chunking, embedding, and retrieval tuning.

        Support integration of AI capabilities with enterprise applications via APIs, webhooks, and tool-use/MCP (Model Context Protocol) implementations.

        Perform exploratory data analysis, feature engineering, and support model training and evaluation for classification, regression, NLP, and forecasting use cases.

        Assist in monitoring model and product performance, documenting evaluation metrics, and flagging data-quality or drift issues.

        Prepare clear working papers, findings, prototypes, presentations, and status reports under the supervision of senior team members.

        Coordinate with client stakeholders to gather requirements, track outstanding actions, and help ensure deliverables are completed on time.

        Maintain awareness of evolving AI/ML tools, frameworks, the vendor landscape, and relevant AI governance and regulatory developments.

Preferred Skills

        1-3 years of relevant experience in AI/data strategy, business analysis, AI/ML engineering, data science, or a related field.

        Working knowledge of AI/ML concepts: LLMs, generative AI, NLP, predictive analytics, and agentic systems.

        Exposure to LLM frameworks (e.g. LangChain, LlamaIndex), vector databases (e.g. FAISS, pgvector, Pinecone), or ML frameworks (e.g. PyTorch, scikit-learn) is an advantage.

        Basic proficiency in Python and familiarity with productivity/analysis tools such as Power BI, Excel, JIRA, or Confluence.

        Basic understanding of AI governance and responsible-AI considerations (e.g. NIST AI RMF, EU AI Act, ISO/IEC 42001).

        Strong analytical, documentation, and report-writing skills, with good attention to detail.

        Good communication skills, willingness to learn, and the ability to work effectively in client-facing and cross-functional teams.

 

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

        Relevant certifications such as AI-focused credentials (Google Cloud AI, AWS AI Practitioner, IBM AI), CBAP, or Agile/Scrum will be considered an advantage.