Generative AI Architect (GenAI / LLM Architect)
Job Summary
We are seeking an experienced Generative AI Architect to design and lead enterprise-scale AI solutions.
The ideal candidate will define the AI vision architecture and governance frameworks with deep expertise in Large Language Models (LLMs) vector databases and cloud-based AI deployments.
Key Responsibilities
Architecture & Strategy
- Define and design end-to-end AI solution architecture
- Establish enterprise AI vision standards and best practices
- Translate business problems into scalable AI architectures
GenAI & LLM Solutions
- Design and implement solutions using:
- Large Language Models (LLMs) (GPT Llama Claude etc.)
- Frameworks like LangChain / LangGraph
- Build RAG (Retrieval-Augmented Generation) pipelines
Data & Vector Architecture
- Design and manage vector databases:
- Pinecone FAISS Weaviate Milvus Chroma
- Enable semantic search embeddings and knowledge retrieval systems
Cloud & Deployment
- Architect and deploy AI solutions on:
- Design scalable secure and high-performance AI systems
Responsible AI & Governance
- Define and implement:
- Responsible AI frameworks
- AI governance and compliance standards
- Ensure fairness explainability and ethical AI usage
Leadership & Collaboration
- Lead cross-functional teams (engineering data product)
- Provide architectural guidance and mentorship
- Communicate technical solutions to stakeholders
Required Skills
Core AI Skills
- Strong expertise in:
- Generative AI / LLMs
- AI/ML frameworks
Technical Skills
- Python and ML libraries
- Experience with:
- LangChain / LangGraph
- OpenAI / Hugging Face
Data & Vector DB
- Hands-on experience with:
- Vector databases (Pinecone FAISS etc.)
- Knowledge of embeddings and semantic search
Cloud Platforms
- AWS / Azure / GCP
- Experience deploying AI solutions in production
Architecture
- Enterprise architecture
- Solution design and scalability
Governance
- Responsible AI
- AI ethics and compliance
Preferred Skills
- Experience in enterprise AI transformation programs
- Exposure to MLOps pipelines
- Strong stakeholder management
Experience Required
- 8-10 years of experience in AI/ML
- Proven experience in AI architecture and solution design
- Masters degree in Computer Science or related field (preferred)
Generative AI Architect (GenAI / LLM Architect) Job Summary We are seeking an experienced Generative AI Architect to design and lead enterprise-scale AI solutions. The ideal candidate will define the AI vision architecture and governance frameworks with deep expertise in Large Language Models (LLMs...
Generative AI Architect (GenAI / LLM Architect)
Job Summary
We are seeking an experienced Generative AI Architect to design and lead enterprise-scale AI solutions.
The ideal candidate will define the AI vision architecture and governance frameworks with deep expertise in Large Language Models (LLMs) vector databases and cloud-based AI deployments.
Key Responsibilities
Architecture & Strategy
- Define and design end-to-end AI solution architecture
- Establish enterprise AI vision standards and best practices
- Translate business problems into scalable AI architectures
GenAI & LLM Solutions
- Design and implement solutions using:
- Large Language Models (LLMs) (GPT Llama Claude etc.)
- Frameworks like LangChain / LangGraph
- Build RAG (Retrieval-Augmented Generation) pipelines
Data & Vector Architecture
- Design and manage vector databases:
- Pinecone FAISS Weaviate Milvus Chroma
- Enable semantic search embeddings and knowledge retrieval systems
Cloud & Deployment
- Architect and deploy AI solutions on:
- Design scalable secure and high-performance AI systems
Responsible AI & Governance
- Define and implement:
- Responsible AI frameworks
- AI governance and compliance standards
- Ensure fairness explainability and ethical AI usage
Leadership & Collaboration
- Lead cross-functional teams (engineering data product)
- Provide architectural guidance and mentorship
- Communicate technical solutions to stakeholders
Required Skills
Core AI Skills
- Strong expertise in:
- Generative AI / LLMs
- AI/ML frameworks
Technical Skills
- Python and ML libraries
- Experience with:
- LangChain / LangGraph
- OpenAI / Hugging Face
Data & Vector DB
- Hands-on experience with:
- Vector databases (Pinecone FAISS etc.)
- Knowledge of embeddings and semantic search
Cloud Platforms
- AWS / Azure / GCP
- Experience deploying AI solutions in production
Architecture
- Enterprise architecture
- Solution design and scalability
Governance
- Responsible AI
- AI ethics and compliance
Preferred Skills
- Experience in enterprise AI transformation programs
- Exposure to MLOps pipelines
- Strong stakeholder management
Experience Required
- 8-10 years of experience in AI/ML
- Proven experience in AI architecture and solution design
- Masters degree in Computer Science or related field (preferred)
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