AI and Fabric Engineer

Tata Consultancy Services; Atlanta (GA); On-site; USD 110,000 - 130,000; Full time

Benefits offered by this job

Discretionary incentive

Medical coverage

Parental leaves

Insurance options

Commuter benefits

Training reimbursement

401K plan

Performance bonus

Student loan refinancing

Job summary

Tata Consultancy Services is seeking a senior AI engineer to design and implement enterprise-grade agentic AI solutions, integrating with Microsoft Fabric Lakehouse/Warehouse and semantic models, for scalable data products.

You will build RAG pipelines using embeddings and vector search, develop ontology-driven data schemas, implement guardrails and cost controls, and collaborate with APIs, cloud security teams, and enterprise applications.

Qualifications

• Agentic AI capabilities including tool calling and multi-agent orchestration.
• Experience with LangChain or equivalent frameworks.
• Proficient in Python and SQL with data engineering skills.

Responsibilities

• Design and implement enterprise-grade agentic AI solutions.
• Integrate AI agents with Microsoft Fabric Lakehouse/Warehouse and APIs.
• Build and optimize RAG pipelines with embeddings and vector search.
• Design ontology-driven semantic models covering entities, relationships, metadata, governance.
• Develop Fabric data pipelines using Data Factory, Notebooks, Spark, SQL, Delta Lake.
• Implement guardrails, access control, logging, and cost optimization.

Skills

Agentic AI

Frameworks

LLM / GenAI

Microsoft Fabric

Ontology / Semantic Modeling

Engineering

Functional

Tools

Python

SQL

Spark/PySpark

REST APIs

CI/CD

Git

Monitoring

Cloud Security

Job description

Must Have Technical/Functional Skills

• Agentic AI: AI agents, planning, reasoning, memory, tool/function calling, multi-agent orchestration, guardrails, and agent evaluation.
• Frameworks: LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent agent orchestration frameworks.
• LLM / GenAI: Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, prompt engineering, grounding, and hallucination mitigation.
• Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Factory, Dataflows, Notebooks, Power BI semantic models, Direct Lake, Delta Lake, and medallion architecture.
• Ontology / Semantic Modeling: business entities, relationships, hierarchies, taxonomy, metadata, lineage, semantic layer, knowledge graphs, RDF/OWL/SPARQL or graph databases.
• Engineering: Python, SQL, Spark/PySpark, REST APIs, CI/CD, Git, monitoring, logging, cloud security, and production support.
• Functional: ability to translate business processes into ontology models, semantic data products, and agent workflows.

Roles & Responsibilities

• Design and implement enterprise-grade agentic AI solutions that retrieve information, call tools/APIs, reason over data, and automate workflows.
• Integrate AI agents with Microsoft Fabric Lakehouse/Warehouse, semantic models, APIs, enterprise systems, and document repositories.
• Build and optimize RAG pipelines using embeddings, vector/semantic search, structured data grounding, and evaluation datasets.
• Design ontology-driven semantic models covering entities, relationships, metadata, business rules, lineage, and governance.
• Develop Fabric data pipelines using Data Factory, Notebooks, Spark/PySpark, SQL, Delta Lake, and medallion architecture.
• Implement AI guardrails, access control, logging, monitoring, cost optimization, and responsible AI practices.
• Create technical designs, architecture diagrams, reusable components, coding standards, and documentation.

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 Protection.
• 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

$110,000-$130,000 a year