AI and Fabric Engineer

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.

#LI-KR3

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

Role: Senior Engineer

Desired skills: Artificial Intelligence

Experience: 8 - 10 Years

Job function: TECHNOLOGY

Location: Atlanta, GA

Salary range: $110,000–$130,000

Apply by: 2026-09-14 00:00:00