GenAI and Data Architect

Location: Bengaluru

Company Overview

Mid-Sized Pioneering Product Engineering and Digital Transformation Company
Domains:
Semiconductor, Automotive, industrial, Consumer Electronics, Enterprise Devices, Telecom, Transportation
Customers: OEMs, Tier1s
Successfully service Fortune 500 Companies
Customer Geographies: U.S., Canada, Nordics, Germany, Japan

Job Description

Role:
GenAI and Data Architect

Role Overview :
We are seeking a proven  Architect and Technical Leader  with deep expertise in  Agentic AI, GenAI, Data Architecture, And Cloud Technologies . This leader will serve as a
Presales Architect Leader, Architecting and Consultatively Selling transformative solutions to Enterprise and ISV Customers in the US, Europe and Japan.
Technically Guide Delivery Team in Technical Execution

The leader will play a pivotal role in shaping our organization’s strategic growth in Next Gen technologies.

Reporting Manager:  Vice President

Location:

Whitefield, Bengaluru

Key Responsibilities  Serve as a Lead Presales / Delivery/Solution Architect for high-value prospects in US, Europe and Japan. Primary focus will be on:

Presales Responsibilities:

Focus will be on new customer acquisition, winning long-term strategic customers, and existing large accounts
Lead technical discussions with prospective and existing customers to articulate our offerings and value proposition, present case studies and understand / evaluate customer’s Business-Technology Goals and Requirements
Qualify prospects by understanding their industry, products or services, their existing and future revenue streams and their predominant business-Technology needs and aspirations
Support the sales team in winning deals by synthesizing together industry leading solutions in collaboration with SMEs
Architect technical solutions for customers:
Architect comprehensive Agentic AI and Generative AI solutions from concept to deployment that align with organizational objectives and support horizontal scaling.
Drive architectural decisions for GenAI platforms, encompassing model selection, infrastructure planning, and system integration patterns.
Lead data architecture modernization initiatives for both Enterprise and ISV Platforms
Define target-state data architectures and migration roadmaps for AI Deployment At Scale
Own End-to-End responsibility for Proposals– from Sales Discussions to successfully defending technical Proposals
Support the Sales team in winning the deals by synthesizing together solutions in collaboration with SMEs, that addresses client requirements
Develop persuasive technical collateral and deliver targeted messaging to stimulate and engage prospects while stretching the imagination to visualize the Art of Possible
Develop proactive whitepapers, POC concepts, proposals, and respond to RFQs with complete responsibility for bid management
Focus will be on new customer acquisition and winning long-term strategic deals
Serve as a custodian of Go to Market (GTM) decks and offerings
Be on top of latest technologies and upcoming trends and seamlessly articulate the value propositions and payoffs to delivery teams, prospects and existing customers

2.Technical Guidance to Delivery Team Responsibilities:

Provide technical advisory to delivery team across multiple concurrent projects, balancing hands-on problem-solving with strategic guidance
Define and maintain architectural standards, guidelines, and best practices for generative AI deployments across the project portfolio
Oversee security, compliance, cost efficiency, and reliability of production AI systems
Facilitate technical proof-of-concepts, and spike solutions to validate architectural approaches and de-risk complex implementations.
Provide hands-on technical advisory to engineering teams throughout project delivery lifecycle, including architecture reviews, code reviews, and troubleshooting complex technical challenges.
Conduct design reviews and technical checkpoints to ensure adherence to architectural principles, performance requirements, and quality standards.
Guide engineering teams through technical decision-making processes, risk mitigation strategies, and resolution of technical blockers to maintain project momentum.
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