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