AI & Data Solutions Architect (CPG/Retail)

Role Overview

We’re looking for a Principal AI & Data Solutions Architect to drive growth across our CPG/Retail portfolio in the U.S. This role sits at the intersection of thought leadership, solutioning, and hands-on technical execution. You will operate as a trusted advisor and AI/Data leader to clients—partnering closely with account teams to shape opportunities, define engineering roadmaps, and solve complex business problems using modern data and AI foundations.

Responsibilities

• Client Leadership & Growth
• Act as a trusted technical advisor to client stakeholders across AI, data, and engineering
• Drive account growth through thought leadership, proactive idea generation, and solution shaping
• Partner with account and sales teams during pre-sales, including discovery, solutioning, and proposal development
• Translate business problems into scalable, high-impact AI/data solutions
• Solution Architecture & Engineering Leadership
• Define and drive end-to-end data and AI architecture (data platforms, pipelines, ML/AI systems, AIF)
• Develop engineering roadmaps aligned to client business objectives
• Design scalable, enterprise-grade solutions across data platforms, cloud ecosystems, and AI/ML frameworks
• Ensure solutions balance performance, scalability, cost, and maintainability
• Hands-On Technical Leadership
• Go beyond strategy—operate at depth when required (architecture reviews, solution design, problem-solving)
• Step into delivery challenges when needed and help unblock teams
• Guide and mentor architects and engineering teams across global delivery
• Cross-Functional Collaboration
• Work Closely With Account leaders and sales teams
• India-based delivery teams
• Data science, engineering, and platform teams
• Act as the bridge between business, solutioning, and execution

Qualifications

• Core Profile
• Deep technologist with strong expertise in data engineering, AI/ML, and solution architecture
• Proven ability to operate in a client-facing, consultative role
• Strong mix of: Pre-sales / solutioning Technical leadership Hands-on problem solving
• Experience
• Average of 15–20 years of experience across:
• Data engineering and platform architecture
• AI/ML or advanced analytics environments
• Enterprise solutioning and consulting
• Exposure to CPG/Retail
• Technical Skills
• Expertise in: Data platforms (data lakes, warehouses, modern data stack)
• Distributed processing (Spark, etc.)
• AI/ML ecosystems and AIF concepts
• Strong experience with cloud platforms (AWS, Azure, or GCP)
• Programming experience in Python, PySpark, Java, or Scala
• Solid Understanding Of Data modeling, ETL/ELT
• Data governance, security, and compliance
• Leadership & Communication
• Strong ability to translate business problems into technical solutions
• Excellent client communication and executive presence
• Ability to influence without authority across client and internal teams