Client Partner - Head of AI Foundations for GCP

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Expert/Leader
Artificial Intelligence • Consulting
The Role
Lead GCP AI foundations: design enterprise data platform, AI/ML infrastructure, responsible AI and governance, agentic systems orchestration, monitoring and SLOs. Build India-based platform engineering team, manage FinOps, enable global client delivery, and ensure enterprise readiness and compliance.
Summary Generated by Built In

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Brief about the Team & Fractal: 

Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision-making process. We deliver insight, innovation, and impact to them by leveraging Big Data, analytics and technology and help them drive smarter, faster, and more accurate decisions in every aspect of their business. 

Overview

Own GCP Data platform strategy, AI/ML infrastructure, data governance, responsible AI, and operations across all services delivered to enterprise clients globally. Build the systems that enable our India-based and distributed teams to deliver AI solutions reliably and at scale.

Location: India (Bangalore)
Reports to: CTO 

Key Responsibilities

Data & Enterprise Context

  • Build enterprise-grade data platform (BigQuery, Dataflow, feature stores)
  • Expertise in Data Mesh/ Data fabric architecture
  • Implement RAG/knowledge base infrastructure for client context and grounding
  • Design data governance, lineage, and compliance frameworks
  • Establish data quality and SLA monitoring

Responsible AI & Governance

  • Implement RAI frameworks (fairness, bias monitoring, safety controls)
  • Create monitoring systems for model performance, drift, hallucinations
  • Establish responsible AI evaluation and deployment standards
  • Ensure compliance and audit-readiness for enterprise clients

Multi-Agentic Systems & Operations

  • Build infrastructure for agentic systems (orchestration, tool use, memory)
  • Design unified monitoring across platform, data, ML, LLMs, agents
  • Establish SLOs, incident response, operational excellence practices
  • Create dashboards and visibility for customer-facing systems

Platform & Infrastructure

  • Design and execute GCP platform strategy; architect for AI workloads at scale
  • Implement training infrastructure for model fine-tuning and optimization
  • Manage infrastructure costs and FinOps practices
  • Establish platform standards and architectural patterns

Team & Delivery

  • Build and scale high-performing India-based platform engineering team
  • Partner with delivery/services teams to enable client implementations
  • Own enterprise readiness and customer requirements
  • Hire, develop, and mentor engineering talent
  • Coordinate with global leadership on platform roadmap

Required Experience

  • 12+ years infrastructure/platform engineering; 5+ years leading technical teams
  • Deep GCP expertise (Compute, BigQuery, Vertex AI, GKE, data services)
  • Enterprise data platform design (100GB+ datasets, complex ETL/streaming)
  • Experience with distributed systems, databases, and large-scale data processing
  • Strong understanding of ML/LLM fundamentals and modern AI systems
  • Proven ability to build and lead large technical teams 
  • Executive presence; ability to communicate with C-suite and enterprise customers

Required Competencies

  • Architectural vision for multi-year platform evolution
  • Systems thinking; optimization across interdependent components
  • Technical depth; hands-on leadership across infrastructure and ML
  • Strategic leadership; making sound trade-off decisions with long-term implications
  • Execution excellence; translating strategy into metrics and delivery
  • Cross-functional influence; strong partnerships with delivery, product, engineering teams
  • Cost consciousness and FinOps mindset
  • Continuous learning in rapidly evolving AI landscape

Work Environment

  • Location: India (Bangalore )
  • Work Setup: Hybrid flexible 
  • Travel: 5-10% for client meetings, team offsites, conferences
  • Team Interaction: Lead India-based team; regular sync with global leadership
  • Work Hours: Flexible core hours with some overlap with global timezones

Why Join Us

  • Leading AI Company: India-based role at global AI-driven services company
  • Strategic Impact: Direct influence on platform powering enterprise AI solutions
  • Technical Leadership: Work with cutting-edge LLMs, agentic systems, enterprise AI
  • Team Building: Build and scale high-performing India-based engineering organization
  • Growth Opportunity: Significant growth potential; 10x scaling ahead
  • Global Scope: Lead systems serving enterprise clients globally while based in India
  • Execution Focus: Balance innovation with reliable delivery to enterprise customers

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Hiring Related Queries

India: [email protected]

Outside India: [email protected]

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Skills Required

  • 12+ years infrastructure/platform engineering experience
  • 5+ years leading technical teams
  • Deep GCP expertise (Compute, BigQuery, Vertex AI, GKE, data services)
  • Enterprise data platform design experience (large datasets, complex ETL/streaming)
  • Experience with distributed systems, databases, and large-scale data processing
  • Strong understanding of ML/LLM fundamentals and modern AI systems
  • Proven ability to build and lead large technical teams
  • Executive presence and ability to communicate with C-suite and enterprise customers
  • Experience with data governance, lineage, compliance, and audit-readiness
  • Experience implementing Responsible AI frameworks (fairness, bias monitoring, safety controls)
  • Experience with FinOps and infrastructure cost management

Fractal Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.

  • Healthcare Strength Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
  • Leave & Time Off Breadth Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
  • Flexible Benefits Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.

Fractal Insights

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The Company
HQ: New York, NY
5,262 Employees

What We Do

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

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