Role descriptionJob SummaryWe are seeking an experienced Technology Generative AI Architect who can lead the design architecture and delivery of enterprise scale AI ML cloud and GenAI solutions. The ideal candidate should possess deep expertise in Generative AI Agentic AI MLOps cloud native architectures and stakeholder engagement with a proven track record of architecting and delivering business critical solutions from concept to production.
Primary Skills- Generative AI Large Language Models OpenAI Anthropic Llama Mistral.
- Agentic AI Multiagent Frameworks LangGraph AutoGen CrewAI Semantic Kernel LangChain.
- Retrieval Augmented Generation RAG Architecture.
- Prompt Engineering LLM Evaluation.
- Machine Learning MLOps.
- Vector Databases Pinecone Weaviate FAISS Chroma Azure AI Search.
- Cloud Architecture Azure AWS GCP.
- AI Solution Architecture Enterprise Integration.
- AI Governance Security Compliance Responsible AI.
- Client Solutioning and Technical Leadership.
Secondary Skills- AIOps Implementation and Monitoring.
- MLFlow Kubeflow SageMaker Azure ML Vertex AI.
- Kubernetes Docker CICD Pipelines.
- API and Microservices Architecture.
- Data Platforms Model Serving Infrastructure.
- Cost Optimization and Cloud Security.
- Presales RFP Response Solution Proposals.
- Stakeholder Management and Technical Workshops.
- Project Estimation Delivery Governance Quality Assurance.
- Team Mentoring and Technical Coaching.
Key Responsibilities- Architect and deliver endtoend GenAI and Agentic AI solutions.
- Design scalable MLMLOps platforms and deployment pipelines.
- Lead cloud architecture for AI and enterprise workloads.
- Define AI governance security and compliance standards.
- Drive client discussions solution workshops and architecture reviews.
- Recommend appropriate LLMs frameworks embeddings and vector stores.
- Lead technical delivery from solution design through production rollout.
- Mentor engineering teams and support presales activities.
