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Tata Consultancy Services Limited

AI Senior Engineer

Career Insights for Artificial Intelligence Engineer (General)

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What they do

An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.

$125,739 / year median in Texas

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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 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-$100,000-$120,000 a year