Data Scientist Senior Consultant II

Allstate; Bengaluru; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Allstate in Bengaluru seeks an experienced AI/ML engineer to design and build AI-driven Insight Studio for Scholar, transforming large-scale customer conversations into actionable, real-time insights. You will productionize AI systems, integrating LLMs, RAG, and agents into scalable apps powering business decisions.

The role covers end-to-end lifecycle, from data prep to deployment, with MLOps practices, observability, and cost control in production environments.

Qualifications

• Experience building production-grade AI/ML systems.
• Strong knowledge of data pipelines and distributed systems.
• Hands-on with LLMs, RAG, and orchestration.

Responsibilities

• Translate complex business problems into end-to-end AI solutions aligned with goals.
• Design and operate production-grade AI systems for conversational insights.
• Architect and implement RAG pipelines with diverse data sources.
• Build and optimize vector search and embeddings-based retrieval.
• Design AI agent workflows with multi-step reasoning.
• Apply prompt engineering and LLM orchestration for quality and cost.
• Integrate AWS Bedrock for foundation models and deployment.
• Develop scalable data pipelines for real-time and batch workloads.
• Own end-to-end ML lifecycle including monitoring and improvement.
• Implement MLOps practices with CI/CD and observability.
• Monitor systems using Datadog and CloudWatch.
• Analyze model outputs and iterate for business impact.

Skills

Python for AI/ML

Production-grade AI systems

Data pipelines

MLOps / LLMOps

LLM orchestration

RAG architectures

Embeddings / vector search

AI agents / multi-step reasoning

LLM evaluation / guardrails

LangChain / LangGraph

Vector databases

Education

Bachelor's degree or higher in CS/AI/Math

Tools

LangChain

LangGraph

LlamaIndex

AWS Bedrock

SageMaker

AWS Lambda / S3

Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

In this role, you will design and build AI-driven Insight Studio for the Scholar product, transforming large-scale customer conversations into actionable, real-time insights. You will hands-on build and productionize AI systems, integrating LLMs, RAG pipelines, and AI agents into scalable, reliable applications that directly power business decisions.

Key Responsibilities

• Translate complex business problems into end-to-end AI solutions, leveraging machine learning and Generative AI techniques aligned with product and business goals.
• Design, build, and operate production-grade AI systems for conversational understanding, summarization, classification, and insight generation from large-scale customer interaction data.
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines, integrating structured and unstructured data sources to deliver context-aware, grounded, and explainable AI outputs.
• Build and optimize vector search and embeddings-based systems, enabling semantic search, similarity matching, and efficient information retrieval at scale.
• Design and implement AI agent workflows, orchestrating multi-step reasoning, tool usage, and decision-making using frameworks such as LangChain, LangGraph, or similar.
• Apply prompt engineering and LLM orchestration techniques to improve output quality, consistency, latency, and cost efficiency in production environments.
• Integrate foundation models via platforms such as AWS Bedrock, including fine-tuning, evaluation, and deployment strategies tailored to business use cases.
• Build and maintain scalable data pipelines and distributed processing systems to support real-time and batch AI workloads.
• Own end-to-end lifecycle of AI/ML solutions, including data preparation, model development, evaluation (including LLM evaluation and guardrails), deployment, and continuous improvement.
• Implement MLOps and LLMOps practices, including CI/CD pipelines, versioning, monitoring, and automated evaluation for both traditional ML and AI systems.
• Monitor and optimize AI systems using observability tools (e.g., Datadog, CloudWatch), ensuring performance, reliability, and cost control in production.
• Analyze model outputs, communicate findings, and iterate on solutions to continuously improve business impact and user experience.

Essential Skills

Data Science & AI Expertise

• Strong proficiency in Python for AI/ML
• Proven experience building and scaling production-grade AI/ML systems
• Deep understanding of data pipelines, distributed systems, and scalable architectures
• Strong grounding in MLOps / LLMOps workflows and lifecycle management
• Practical experience building applications using: Large Language Models (LLMs) (prompting, fine-tuning, orchestration)
• Retrieval-Augmented Generation (RAG) architectures
• Embeddings and vector search systems
• AI agents and multi-step reasoning workflows

Strong understanding of LLM evaluation, guardrails, and responsible AI practices

Frameworks & Tooling

• Hands-on experience with: LangChain, LangGraph, LlamaIndex or similar orchestration frameworks
• Experience designing modular, reusable AI pipelines and components

Data & Storage

• Experience with vector databases and modern data storage systems
• Familiarity with handling large-scale structured and unstructured datasets

Cloud & AI Platforms

• Experience with: Amazon SageMaker or similar ML platforms
• AWS Bedrock for foundation model access and deployment
• AWS services such as Lambda, S3, ElastiCache
• Experience deploying LLM-powered applications in cloud-native architectures

Observability & Reliability

• Experience with: Datadog, AWS CloudWatch
• Strong ability to monitor, debug, and optimize AI systems in production

Additional Platforms

• Experience with Microsoft Fabric or similar analytics platforms

Primary Skills

• Artificial Intelligence Markup Language, Business Case Analyses, Data Analytics, Predictive Modeling, Waterfall Model

Shift Time

Shift B (India)

About Allstate

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

The Allstate Corporation

The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States co