Director | Data Science | Bengaluru | Finance Transformation | Finance Strategy

• Job requisition ID : 107965 

• Location: Bengaluru

• Entity: Deloitte Touche Tohmatsu India LLP 

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