AI Software Engineering Architect
- Source: Naukri
- Tata Consultancy Services
- On-site
- Bengaluru
- Full-Time
- Mid level
Job Description
Role & responsibilities
Technical Skills:
- Generative AI (Gen AI), Agentic AI
- Python Programming
- AI Frameworks (LangChain, AutoGen, CrewAI and LangGraph)
- Model Context Protocol (MCP), Agent to Agent Protocol
- GuardRails, AI Ethics and Regulations
- Prompt Engineering, Responsible AI
- Distillation, RAG, Fine-tuning
- Multi-modal AI, LLMs
- Vector Databases, Embeddings
- GenAI deployment tools (Docker, Kubernetes)
Experience with ANY ONE of the following Cloud Native AI Services:
- Azure AI: Foundry, Agents, Search, Bot Services
- AWS AI: Bedrock, Amazon Q, Amazon SageMaker
- Google Cloud Platform (GCP) AI: Vertex AI, Model Garden, Agentspace, Agent Engine
Skills
- Python
- LangChain
- crewai
- LangGraph
- guardrails
- Docker
- Kubernetes
- microsoft-azure
- azure-search
- amazon-web-services
- bedrock
- amazon-sagemaker
- google-cloud-platform
- vertex
