Job Title:  Director | Data Science | Bengaluru | Finance Transformation | Finance Strategy

Your work profile

• Define enterprise reference architectures across application, data, AI/ML, cloud, and security domains using modern architectural patterns including microservices, Kubernetes, serverless, and event-driven architectures.
• Design and govern enterprise Generative AI solutions including LLMs, Retrieval-Augmented Generation (RAG), AI Agents, hybrid search, vector databases, prompt engineering, model orchestration, and structured output generation.
• Architect cloud-native solutions leveraging AWS, Azure, and GCP services while ensuring scalability, resiliency, high availability, disaster recovery, and performance optimization.
• Establish security-by-design practices including IAM, Zero Trust, encryption, secrets management, data governance, environment isolation, compliance, and secure AI implementation.
• Define enterprise integration strategies using REST APIs, GraphQL, gRPC, messaging, event streaming, API gateways, and service mesh architectures.
• Lead architecture governance, design reviews, technology evaluations, proof-of-concepts, and build-vs-buy decisions.
• Drive cloud modernization initiatives, application migration strategies, and platform engineering best practices.
• Establish observability standards including monitoring, logging, distributed tracing, SLOs, performance benchmarking, capacity planning, and cost optimization.
• Define AI model lifecycle governance including model versioning, evaluation frameworks, deployment strategies, monitoring, and release management.
• Collaborate with engineering, product, data science, security, and business stakeholders to translate business requirements into scalable technical roadmaps.
• Mentor solution architects and engineering teams while promoting architecture standards, reusable design patterns, and engineering excellence.

Key skills required

• 12+ years of experience designing and delivering enterprise cloud solutions across AWS, Azure, and GCP.
• Strong expertise in cloud architecture covering compute, networking, storage, security, identity, and platform services.
• Hands-on experience designing and deploying production-grade Generative AI solutions using LLMs, RAG, AI Agents, vector databases, and enterprise search.
• Strong understanding of AI architecture including prompt engineering, embeddings, hybrid retrieval, reranking, chunking strategies, semantic search, and agent orchestration.
• Expertise in Kubernetes (EKS, AKS, GKE), serverless computing, container platforms, and cloud-native application architectures.
• Strong experience with Infrastructure as Code (Terraform, Pulumi, CloudFormation).
• Experience designing enterprise APIs, API management, event-driven systems, and integration architectures.
• Strong understanding of modern data platforms including Data Lakes, Lakehouses, Data Warehouses, Streaming Platforms, and AI data pipelines.
• Experience implementing DevSecOps, CI/CD, GitOps, and cloud governance best practices.
• Ability to define target architectures, technology roadmaps, non-functional requirements, and enterprise architecture standards.
• Strong stakeholder management, leadership, communication, and solution consulting Skills