AI and Fabric Engineer

Tata Consultancy Services Ltd

  • Atlanta, GA
  • 29 days ago
  • $110,000–$130,000 Per Year

Highlights

Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Factory, Dataflows, Notebooks, Power BI semantic models, Direct Lake, Delta Lake, and medallion architecture. Design and implement enterprise-grade agentic AI solutions that retrieve information, call tools/APIs, reason over data, and automate workflows.

Numbers & Facts

LocationAtlanta, GA
Salary$110,000–$130,000 Per Year

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 etc.

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.

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Salary Range-$110,000-$130,000 a year

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