Data AI Engineer

Role: Engineer

Required Skills: Artificial intelligence

Experience: 6 - 8 Years

Function: TECHNOLOGY

Apply By: 2026-12-06

Data AI Engineer

Must Have Technical/Functional Skills

• Experience with Vector Databases and implementing embedding pipelines
• Experience with PromptQL
• 5+ years of Oracle Database development experience
• Advanced SQL development, query optimization, and performance tuning
• Strong PL/SQL (Packages, Procedures, Functions, Views)
• Data Modeling and Relational Database Design
• ETL development and Data Pipeline implementation
• Strong Python programming and automation scripting
• API development and data integration
• Experience with AI/Data Engineering concepts:

Embeddings, Chunking, Vector Databases, Semantic Search, Retrieval-Augmented Generation (RAG)

• Metadata-driven and semantic data architecture
• Conversational Analytics / NLP-based data solutions
• CI/CD and modern application development practices
• Strong analytical, problem-solving, and communication skills

Roles & Responsibilities

• Develop and maintain Oracle database solutions using SQL and PL/SQL.
• Build and optimize data pipelines, ETL processes, and automation frameworks using Python.
• Design and implement APIs and data integration solutions.
• Support the Talk-to-Data platform and conversational analytics capabilities.
• Develop and optimize embedding pipelines for semantic search use cases.
• Support chunking, vector database integration, and RAG-based architectures.
• Design and maintain semantic data models and metadata-driven solutions.
• Perform query optimization, database tuning, and performance improvements.
• Ensure data quality, governance, and consistency across data assets.
• Collaborate with Data Architects, AI Engineers, Product Owners, and business stakeholders.
• Participate in Agile development, testing, deployment, and production support activities.
• Document technical designs, architecture, and operational procedures.

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protectio n.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range- $85,000-$90,000 a year