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AI/ML Solutions Architect – GenAI
4 weeks ago
Job Location: Hyderabad / Bangalore / Pune
Immediate Joiners / less than 30 days
About the Role
We are looking for a seasoned AI/ML Solutions Architect with deep expertise in designing and deploying scalable AI/ML and GenAI solutions on cloud platforms. The ideal candidate will have a strong track record in BFSI, leading end-to-end projects—from use case discovery to productionization—while ensuring governance, compliance, and performance at scale.
Key Responsibilities
- Lead the design and deployment of enterprise-scale AI/ML and GenAI architectures.
- Drive end-to-end AI/ML project delivery: discovery, prototyping, productionization.
- Architect solutions using leading cloud-native AI services (AWS, Azure, GCP).
- Implement MLOps/LLMOps pipelines for model lifecycle and automation.
- Guide teams in selecting and integrating GenAI/LLM frameworks (OpenAI, Cohere, Hugging Face, LangChain, etc.).
- Ensure robust AI governance, model risk management, and compliance practices.
- Collaborate with senior business stakeholders and cross-functional engineering teams.
Required Skills & Experience
- 15+ years in AI/ML, cloud architecture, and data engineering.
- At least 10 end-to-end AI/ML project implementations.
- Hands-on expertise in one or more of the following:
- ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch
- GenAI/LLM tools: OpenAI, Cohere, LangChain, Hugging Face, FAISS, Pinecone
- Cloud platforms: AWS, Azure, GCP (AI/ML services)
- MLOps: MLflow, SageMaker Pipelines, Kubeflow, Vertex AI
- Strong understanding of data privacy, model governance, and compliance frameworks in BFSI.
- Proven leadership of cross-functional technical teams and stakeholder engagement.
