Unknown Company

AI Senior Engineer

waco, tx • Posted 4 days ago
Hybrid Full Time IT & Technology

  • 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.
  • cloud security, and production support.
  • Functional: ability to translate business processes into ontology models, semantic data products, and agent workflows
  • 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.
  • Delta Lake, and medallion architecture.
  • Implement AI guardrails, access control, logging, monitoring, cost optimization, and
  • responsible AI practices.

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.

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

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