Data & Ai Engineer

Tata Consultancy Services; Boston (MA); On-site; USD 100,000 - 120,000; Full time

Job summary

Tata Consultancy Services Limited seeks an Data & AI Engineer (LLMs & Distribution Analytics) to build production-grade AI solutions across Sales, Marketing, and Distribution. You will work with AWS, Snowflake, and data platforms to turn commercial data into actionable intelligence.

The role emphasizes hands-on engineering with real business impact and opportunities to progress into senior AI/data engineering paths within a leading asset management-focused firm.

Qualifications

• Strong hands-on experience in cloud data engineering (AWS + Snowflake/Redshift).
• Proven experience building AI/LLM-based solutions using orchestration frameworks and managed services.
• Solid programming skills in Python and/or PySpark.
• Experience in integrating Salesforce CRM data and commercial data sources.
• Understanding of data pipelines across ingestion, transformation, and serving.

Responsibilities

• Design and develop AI workflows using LLMs, RAG, and agent-based frameworks.
• Implement solutions using AWS Bedrock, Snowflake Cortex, and related services.
• Build ML feature pipelines and support AI use case deployment.
• Collaborate with data science teams to production AI capabilities.

Skills

Cloud data engineering

AI/LLM solutions

Python

PySpark

Salesforce CRM integration

Data pipelines

Tools

AWS

Snowflake

Redshift

Tableau

Job description

Data & AI Engineer (LLMs & Distribution Analytics)

Join a high-impact Data & AI engineering team at the forefront of enterprise AI transformation. You'll build production-grade AI solutions (LLMs, RAG, and agent workflows) used directly by Sales, Marketing, and Distribution teams across EMEA.

This is a hands‑on engineering role where you will work with modern cloud‑native data platforms and AI tooling to turn commercial data into actionable intelligence. You will contribute to a growing AI agenda with direct exposure to senior leadership and real business impact.

Roles & Responsibilities

• Work on enterprise-scale AI initiatives with visible business impact
• Build real-world generative AI solutions (not just prototypes)
• Access cutting‑edge technologies including AWS Bedrock and Snowflake Cortex
• Partner with global teams across engineering, data science, and business domains
• Opportunity to shape and scale AI capabilities in a leading asset management firm
• Clear progression into senior AI/data engineering roles

What Success Looks Like (First 12 Months)

• Deliver production-ready AI use cases (e.g., AI agents for sales and distribution insights)
• Integrate key CRM and marketing datasets into a unified analytics platform
• Improve reliability and scalability of commercial data pipelines
• Contribute to enterprise AI adoption through working solutions and PoCs
• Establish strong engineering practices in data and AI delivery

What You'll Do

Build AI & Advanced Analytics Solutions

• Design and develop AI workflows using LLMs, RAG, and agent-based frameworks
• Implement solutions using AWS Bedrock, Snowflake Cortex, and related services
• Build ML feature pipelines and support AI use case deployment
• Collaborate with data science teams to productions AI capabilities

Develop Cloud Data Pipelines

• Build and maintain scalable data pipelines across ingestion, transformation, and serving layers
• Work with AWS services (S3, Glue, Lambda, Athena) and Snowflake/Redshift
• Write production-grade code in Python and/or PySpark

Integrate Commercial & CRM Data

• Design and implement integrations for Salesforce CRM, Marketing Cloud, and web analytics platforms
• Work at API and schema level to connect multiple data sources
• Identify and resolve data quality issues across pipelines and source systems

Drive Engineering Quality

• Contr ibute to code reviews, testing practices, and pipeline reliability improvements
• Participate in technical design discussions and architecture reviews
• Identify and address technical debt to improve platform performance

Prototype & Innovate

• Lead proof-of-concept work for new AI and data capabilities
• Evaluate emerging tools and frameworks and recommend adoption
• Translate experimentation into practical solutions for the platform roadmap

Tech Stack

• Cloud: AWS (S3, Glue, Lambda, Athena)
• Data Platforms: Snowflake, Redshift
• Languages: Python, PySpark
• AI/ML: AWS Bedrock, Snowflake Cortex
• AI Patterns: LLMs, RAG, vector databases, agent frameworks
• CRM & Data Sources: Salesforce, Marketing Cloud, third-party commercial data
• Visualization (Optional): Tableau or equivalent

What You Must Bring (Essential Skills)

• Strong hands‑on experience in cloud data engineering (AWS + Snowflake/Redshift)
• Proven experience building AI/LLM-based solutions using orchestration frameworks and managed services
• Solid programming skills in Python and/or PySpark
• Experience in integrating Salesforce CRM data and commercial data sources
• Understanding of data pipelines across ingestion, transformation, and serving
• Ability to work independently with strong delivery discipline and ownership ________________________________________

Nice to Have

• Experience with MLOps, feature engineering, or model serving
• Exposure to multi-agent frameworks (e.g., LangGraph, CrewAI, AWS Agent Core)
• Experience of onboarding third‑party commercial datasets (e.g., fund flows, market intelligence)
• Experience with BI tools (Tableau or similar) for business‑facing analytics ________________________________________

Experience & Education

• 4-7 years of experience in data engineering, analytics platforms, or software development
• Proven track record of hands‑on delivery in cloud-native environments

Salary Range- $100,000-$120,000 a year

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Location

Boston, MA

Function

TECHNOLOGY

Role

Engineer

ID

436550

Skills

Artificial Intelligence

Salary Range

$100,000 - $120,000