Assistant Manager

Gurgaon, Haryana
Permanent
Full-time

8 days ago

Job Description:Role OverviewWe are seeking a Data Engineer with Generative AI expertise to join our Insurance Analytics team in Gurgaon. The role requires a blend of data engineering, cloud, and GenAI skills, with a focus on building robust data pipelines and deploying AI-driven solutions to solve complex insurance business challenges.This is a hands-on engineering role where you will work with insurance clients, business stakeholders, and data science teams to design, implement, and optimize data/GenAI solutions.Key Responsibilities

Data Engineering & Pipelines

Design, build, and maintain scalable ETL/ELT pipelines using modern data platforms (Azure, AWS, GCP).
Integrate structured and unstructured insurance data sources (policy, claims, underwriting, actuarial, customer data).
Optimize data pipelines for performance, scalability, and cost efficiency.
Generative AI Enablement

Collaborate with data scientists and solution architects to embed GenAI models (LLMs, copilots, prompt engineering) into insurance workflows.
Develop connectors, APIs, and middleware to integrate GenAI solutions with enterprise systems.
Fine-tune and customize foundation models for insurance-specific use cases (e.g., claim notes summarization, underwriting automation, agent assistance).
Cloud & Architecture

Build cloud-native data platforms leveraging Databricks, Azure Synapse, AWS Redshift, or GCP BigQuery.
Ensure compliance with insurance data governance, privacy, and regulatory requirements (HIPAA, GDPR, IRDAI).
Collaboration & Delivery

Partner with BI/reporting teams, actuaries, and insurance SMEs to ensure data availability for analytics & AI use cases.
Work in agile project teams, participating in design workshops, sprint planning, and code reviews.
Provide technical guidance and training to junior engineers.

Required Skills & Experience

Education: Bachelor’s/Master’s in Computer Science, Data Engineering, or related fields.
Experience: 4–8 years in data engineering, with at least 1–2 years hands-on in GenAI/LLM integration.
Technical Skills:

Strong SQL, Python, PySpark/Scala.
Data platforms: Databricks, Snowflake, Synapse, BigQuery.
Cloud: Azure (preferred), AWS, or GCP.
GenAI/AI: OpenAI, Azure OpenAI, Hugging Face, LangChain, RAG frameworks.
Data integration: APIs, REST, Kafka, Delta Lake.
CI/CD & DevOps tools (Git, Jenkins, Terraform).
Soft Skills:

Strong problem-solving and analytical thinking.
Ability to translate business requirements into technical solutions.
Excellent communication skills to work with cross-functional teams and insurance clients.

Preferred / Nice-to-Have

Prior experience in insurance or financial services analytics.
Exposure to prompt engineering, fine-tuning LLMs, and building copilots.
Familiarity with BI/Visualization tools (Power BI, Tableau).

Knowledge of data security, compliance, and audit frameworks in insurance.

EXL Service

Apply Now