We are seeking a visionary Generative AI Architect to design, implement, and scale enterprise-grade GenAI solutions. You’ll lead the technical strategy and architecture for large language models (LLMs), RAG systems Agentic AI frameworks, and end-to-end LLMOps pipelines transforming how the organization leverages AI for innovation and efficiency.
Requirements
Experience Required Minimum 10 years with 6 years in AI ML and at least 2 years in Generative AI
Technical Skills And Experience
Core Expertise
Deep understanding of LLMs Agentic AI RAG pipelines prompt engineering fine tuning and multimodal AI
Hands on experience with LangChain LlamaIndex Haystack Semantic Kernel or equivalent frameworks
Proven knowledge of LLMOps including
Prompt lifecycle management and prompt versioning
Model evaluation feedback loops and AB testing
LLM observability using Helicone Traceloop LangFuse Phoenix or custom telemetry
Deployment automation with CICD for GenAI workloads
Experience with Agentic AI frameworks such as CrewAI AutoGen OpenDevin or custom orchestration systems
Programming
Solid in Python
Experience building APIs REST GraphQL gRPC for AI integrations
Cloud and Infrastructure
Practical experience with AWS SageMaker Azure OpenAI GCP Vertex AI or custom LLM deployment setups
Knowledge of Docker Kubernetes MLflow Weights and Biases or equivalent MLOps LLMOps tools
Data and Vector Layer
Expertise in vector databases such as Pinecone Weaviate Chroma FAISS or Milvus
Understanding of data pipelines embeddings management and semantic search optimization
Preferred
Familiarity with Transformer architecture tokenization and quantization techniques
Exposure to AI safety responsible AI frameworks and ethical model governance
Soft Skills
Strategic and analytical mindset with strong problem solving skills
Ability to simplify complex AI concepts for business leaders
Excellent leadership communication and mentorship abilities
Passionate about innov
📌 Generative AI Architect0 (Gurugram)
🏢 GlobalLogic
📍 Gurugram
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