DE&A - AIML - Data Science - Data Science (Other)

Zensar

  • India
  • Permanent
  • Full-time
  • 2 months ago
Job Description:Experience: 15+ years overall | Minimum 10 full-cycle AI/ML project implementations, including GenAI experienceRole Summary:We are seeking a AI Architect to lead strategic AI transformation initiatives. This role demands deep hands-on experience in AI, Machine Learning (ML), and Generative AI (GenAI), along with the ability to engage directly with C-level stakeholders, align technical delivery with business objectives, and drive enterprise-wide adoption of advanced AI solutions.The ideal candidate is a techno-strategic leader who can take AI/ML/GenAI projects from ideation to production-building architectures, leading cross-functional teams, and ensuring regulatory and operational alignment in BFSI environments.Key Responsibilities:Consulting & Business Alignment
  • Partner with senior business and IT leadership, including CIOs, CDOs, and COOs, to identify high-impact use cases across retail banking, insurance, credit, and capital markets.
  • Translate complex BFSI challenges into technically feasible and scalable AI/ML/GenAI solutions.
  • Create strategic roadmaps, capability assessments, and PoV/PoC execution plans that align with business KPIs and regulatory needs.
Solution Architecture & Delivery Leadership
  • Design and lead delivery of AI/ML/GenAI pipelines covering data ingestion, model training, validation, deployment, and monitoring.
  • Build and scale GenAI-based solutions like LLM-driven chatbots, intelligent document processing, RAG pipelines, summarization tools, and virtual assistants.
  • Architect cloud-native AI platforms using AWS (SageMaker, Bedrock), Azure (ML, OpenAI), or GCP (Vertex AI, BigQuery, LangChain).
  • Define and implement MLOps and LLMOps frameworks for versioning, retraining, CI/CD, and production observability.
  • Ensure adherence to Responsible AI principles, including explainability, bias mitigation, auditability, and regulatory compliance
Engineering & Integration
  • Work closely with data engineering teams to acquire, transform, and pipeline data from core banking systems, CRMs, claims systems, and real-time feeds.
  • Design architecture for data lakes, feature stores, and vector databases supporting AI and GenAI use cases.
  • Enable seamless integration of AI capabilities into enterprise workflows, customer platforms, and decision engines via APIs and microservices.
Required Skills & Experience:
  • 15+ years of experience in AI/ML, data engineering, and cloud architecture.
  • Minimum of 10 end-to-end AI/ML project implementations from use case discovery through to productionization.
  • Proven expertise in: (Any One)
  • AI/ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch
  • GenAI/LLM platforms: OpenAI, Cohere, Mistral, LangChain, Hugging Face, vector DBs (Pinecone, FAISS, Chroma)
  • Cloud platforms: AWS, Azure, GCP - including AI/ML & GenAI native services
  • MLOps/LLMOps tools: MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines
  • Strong experience with data security, governance, model risk management, and AI compliance frameworks relevant to BFSI.
  • Ability to lead large cross-functional teams and engage both technical teams and senior stakeholders.

Zensar