GEN AI Technical Architect

Tata Consultancy Services Ltd
  • Flower Mound, TX
  • $180,000–$185,000 Per Year
30 days ago

Job Description

Must Have Technical/Functional Skills

  • Programming: Python (primary), familiarity with TypeScript/Node.js for service integration
  • Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen (agent orchestration)
  • Vector databases: Pinecone, Weaviate, Milvus, pgvector, Chroma
  • LLM/API platforms: OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, Google Vertex AI, Hugging Face
  • Fine-tuning techniques: LoRA, QLoRA, PEFT, RLHF fundamentals
  • Infrastructure: Docker, Kubernetes, serverless deployment on Azure/AWS/GCP
  • MLOps/LLMOps tooling: MLflow, Weights & Biases, evaluation/observability frameworks (e.g., LangSmith, Arize)
  • Data engineering: ETL pipelines, embeddings generation, knowledge graph integration
  • API design and microservices architecture for AI-powered applications

Roles & Responsibilities

  • Define enterprise Gen AI strategy, reference architecture, and technology standards
  • Evaluate, select, and benchmark LLM providers and foundation models for specific use cases
  • Architect RAG pipelines, agentic workflows, and multi-agent orchestration systems
  • Establish responsible AI practices: guardrails, content filtering, bias and hallucination mitigation
  • Lead Gen AI solutions from proof-of-concept through production-grade deployment
  • Partner with data science, engineering, and business teams to prioritize and scope use cases
  • Monitor model performance, cost, latency, and drift in production environments
  • Mentor engineering teams on Gen AI best practices and emerging techniques
  • Stay current with the rapidly evolving Gen AI landscape and advise leadership on adoption roadmap

Salary Range: $180,000 -$185,000 year

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 & amp; 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-DNI

Numbers & Facts

LocationFlower Mound, TX
Salary$180,000–$185,000 Per Year

Skills

  • Adoptionunmatched
  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Benchmarkingunmatched
  • Best Practicesunmatched
  • Content Filtering Softwareunmatched
  • Cost Modelingunmatched
  • Data Scienceunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • Dockerunmatched
  • Establish Prioritiesunmatched
  • GCP (Good Clinical Practices)unmatched
  • Leadershipunmatched
  • Legalunmatched
  • Loan Fundingunmatched
  • Machine Toolunmatched
  • Mentoringunmatched
  • Microservicesunmatched
  • Microsoft Windows Azureunmatched
  • Node.jsunmatched
  • Performance Analysisunmatched
  • Performance Modelingunmatched
  • Production Systemsunmatched
  • Proof of Conceptunmatched
  • Python Programming/Scripting Languageunmatched
  • Student Loansunmatched
  • Use Casesunmatched

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