GCP Gen AI Architect

Wipro•New York City, NY

1d•Onsite

About The Position

Wipro Limited is seeking a highly experienced Generative AI Architect to lead the architecture, design, and implementation of next-generation AI solutions. The ideal candidate should possess deep expertise in Generative AI, Agentic AI, GCP Cloud Architecture, Customer Data Platforms (CDP), and enterprise-scale banking solutions, with a proven track record of delivering AI-driven transformation programs. The role requires close collaboration with business stakeholders, product teams, data architects, risk teams, and engineering leadership to build scalable, secure, and compliant AI solutions leveraging Google Cloud's AI ecosystem.

Requirements

Generative AI & Agentic AI
LLMs including GPT, Gemini, Claude, Llama, and open-source models.
RAG architecture, vector databases, embeddings, semantic search.
Multi-agent and Agentic AI frameworks.
Prompt Engineering and Prompt Optimization.
Fine-tuning approaches such as LoRA and QLoRA.
AI Guardrails, Responsible AI, Explainability, and Hallucination Reduction.
LangChain, LangGraph, LlamaIndex, Semantic Kernel.
GCP Architecture
Vertex AI
Gemini Models
Document AI
BigQuery
Dataflow
Pub/Sub
Cloud Run
GKE
Cloud Functions
Cloud Storage
Dataproc
IAM and Security Architecture
Customer Data Platform (CDP)
Enterprise Customer Data Platform architecture.
Customer 360° data modeling.
Identity Resolution and Master Data Management.
Real-time customer insights and personalization.
Data governance, consent management, and privacy controls.
Integration with marketing, analytics, and AI ecosystems.
Data & AI Engineering
Python
SQL
Distributed Data Processing
Feature Engineering
Vector Databases (Pinecone, Vertex AI Vector Search, Weaviate, FAISS)
Knowledge Graphs
Data Lake and Data Mesh concepts
Banking Domain Expertise
Banking Operations
Fraud Management
Risk & Controls
Regulatory Compliance
Customer Servicing
Operational Excellence Programs
Financial Crimes/Fraud Analytics
Generative AI
5-8 Years of experience in Generative AI
15+ Years of overall experience
Experience in Banking, Fraud, Risk & Controls domain

Nice To Haves

Deep expertise in Generative AI, Agentic AI, GCP Cloud Architecture, Customer Data Platforms (CDP), and enterprise-scale banking solutions.
Proven track record of delivering AI-driven transformation programs.
Experience with Google Cloud's AI ecosystem.

Responsibilities

Define and drive the overall AI and data architecture strategy for the OMAI program.
Architect enterprise-scale GenAI solutions leveraging LLMs, Agentic AI, RAG, Knowledge Graphs, and AI Agents.
Design and implement Customer Data Platform (CDP) integrations to enable unified customer intelligence and personalized AI experiences.
Build scalable AI platforms using Google Cloud AI and ML services.
Lead architecture reviews, solution design workshops, and technical governance.
Design secure AI architectures compliant with banking, risk, regulatory, and data privacy requirements.
Partner with Product Owners, Data Engineering, Risk, Fraud, and Compliance teams to deliver business outcomes.
Establish AI MLOps, LLMOps, observability, monitoring, and responsible AI frameworks.
Drive AI adoption through reusable architecture patterns, frameworks, and best practices.
Provide technical leadership and mentoring to architects and engineering teams.
Develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client expectations and add value to business.
Manage the product/solution development using the desired AI techniques.
Lead development and implementation of custom solutions through thoughtful use of modern AI technology.
Review and evaluate the use cases and decide whether a product can be developed to add business value.
Create the overall product development strategy and integrating with the larger interfaces.
Create AI models and framework and implement them to cater to a business problem.
Draft the desired user Interface and create AI models as per business problem.
Analyze technology environment and client requirements to define product solutions using AI framework/ architecture.
Implement the necessary security features as per product's requirements.
Review the used case and see the latest AI that can be used in product's development.
Identify problem areas and perform root cause analysis and provide relevant solutions to the problem.
Tracks industry and application trends and relates these to planning current and future AI needs.
Create and delegate work plans to the programming team for product development.
Interact with Holmes advisory board for knowledge sharing and best practices.
Responsible for developing and maintaining client relationships with the key strategic partners and decision makers.
Drive discussions and provide consultation around product design as per customer needs.
Participate in client interactions and gather insights regarding product development.
Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements.
Assist in product's demonstration and receive feedback from the client.
Design presentations for seminars, meetings and enclave primarily focused over product.
Forecast talent requirements as per the current and future business needs.
Hire adequate and right resources for the team.
Ensure adequate onboarding and training for the team members to enhance capability & effectiveness.
Build an internal talent pool and ensure their career progression within the organization.
Manage team attrition.
Drive diversity in leadership positions.
Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports.
Ensure that the Performance Nxt is followed for the entire team.
Lead and drive engagement initiatives for the team.
Track team satisfaction scores and identify initiatives to build engagement within the team.