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AInsurtech (P) Ltd

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

Consultant - AI Advisory & Engineering (AAE)

Closing Date:30,Oct 2026
Job Published: 29,Sept 2026
Contact Email: hr@ainsurtek.com

Brief Description

Experience Required: 1-3 Years

Location: Trivandrum

Role Overview

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.

Key Responsibilities

•        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

Key Skills & Competencies

•        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.

Qualifications

•        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.