AI Infrastructure Architect

Accenture; Mumbai City; Hybrid; INR 3,600,000 - 6,000,000; Full time

Job summary

Accenture is seeking a Lead GCP Agentic AI Engineer in Mumbai to define and own the long-term technical roadmap for GCP-based agentic AI systems across the organization. You will design enterprise-scale multi-tenant architectures supporting complex reasoning, planning and execution pipelines.

As a senior leader, you will mentor senior and mid-level engineers, collaborate with platform, data, ML research and product teams, evaluate emerging GCP AI capabilities, and drive governance for

Qualifications

• 8+ years of engineering experience.
• 3+ years leading complex AI/ML or agentic platform initiatives.
• Expert level GCP knowledge across the full stack including Vertex AI, GKE Autopilot, AlloyDB, Dataplex and Apigee.
• Deep mastery of agentic system design including hierarchical agent orchestration, dynamic tool calling and multi-modal reasoning.
• Strong communication skills for executive, customer and engineering audiences.

Responsibilities

• Define and own the long-term technical roadmap for GCP based agentic AI systems across the organization.
• Design enterprise-scale multi-tenant architectures supporting complex reasoning, planning and execution pipelines.
• Evaluate and drive adoption of emerging GCP AI capabilities including Gemini, grounding, and agent-to-agent protocols.
• Establish engineering standards, design patterns and governance for responsible AI deployment (safety, bias, auditability).
• Lead cross-functional initiatives spanning platform engineering, data teams, ML research and product teams.
• Partner with executives to translate AI strategy into engineering execution and provide technical due diligence for vendor decisions.
• Mentor and grow a team of senior and mid-level engineers.

Skills

Engineering experience

AI/ML leadership

GCP expertise

Architecture & platform design

Vendor evaluation

Executive communication

Mentoring teams

Cost optimization at scale

Education

15 years full time education

Tools

Vertex AI

GKE Autopilot

AlloyDB

Dataplex

Apigee

Emerging GCP AI infrastructure

Job description

Project Role : AI Infrastructure Architect
Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : Agent Development
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Lead GCP Agentic AI Engineer

• Level Principal or Staff
• Experience 8 or more Years
• Work Mode Remote or Hybrid
• Employment Full Time

Key Responsibilities

• Define and own the long term technical roadmap for GCP based agentic AI systems across the organization
• Design enterprise scale multi tenant multi agent architectures supporting
• Complex reasoning
• Planning
• Execution pipelines
• Evaluate and drive adoption of emerging GCP AI capabilities including
• Gemini
• Grounding
• Agent to Agent protocols
• Open source frameworks
• Establish engineering standards design patterns and governance frameworks for responsible AI deployment covering
• Safety
• Bias
• Auditability
• Lead cross functional technical initiatives spanning
• Platform engineering
• Data teams
• ML research
• Product teams
• Partner with executive stakeholders to translate AI strategy into engineering execution
• Provide technical due diligence for
• Key vendor decisions
• Build or buy decisions
• Mentor and grow a team of senior and mid level engineers

Required Skills and Qualifications

• 8 or more years of engineering experience
• 3 or more years leading complex AI ML or agentic platform initiatives
• Expert level GCP knowledge across the full stack including
• Vertex AI
• GKE Autopilot
• AlloyDB
• Dataplex
• Apigee
• Emerging GCP AI infrastructure
• Deep mastery of agentic system design including
• Hierarchical agent orchestration
• Dynamic tool calling
• Persistent memory
• Multi modal reasoning
• Human in the loop governance
• Strong expertise in
• LLM fine tuning
• Model evaluation at scale using Vertex AI Pipelines
• Demonstrated ability to design for enterprise requirements including
• Multi tenancy
• Data residency
• Zero trust security
• Regulatory compliance
• Experience with cost optimization at scale including
• Spot and preemptible GPU workloads
• Resource quotas
• FinOps on GCP
• Exceptional communication skills with the ability to translate deep technical complexity for
• Executive audiences
• Customer audiences
• Engineering audiences
• Proven track record of
• Delivering platform level impact
• Driving organizational engineering culture
• 15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.