GEN AI Technical Architect
$180k - $185kTata Consultancy Services
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
- 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
Vacancy posted 3 days ago
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