The Role
Architect and own enterprise-scale GCP agentic AI infrastructure and long-term technical roadmaps. Design multi-tenant, multi-agent systems with complex reasoning, planning, execution, tool calling, memory, and multimodal capabilities. Evaluate GCP technologies and vendors, establish responsible AI governance, optimize GPU infrastructure costs, and ensure security, residency, and compliance. Lead cross-functional initiatives, advise executives on AI strategy, provide technical due diligence, and mentor engineering teams.
Summary Generated by Built In
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
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.
Skills Required
- Minimum 12 years of professional experience
- At least 8 years of engineering experience
- At least 3 years leading complex AI, machine learning, or agentic platform initiatives
- 15 years of full-time education
- Agent development experience
- Expert-level GCP knowledge, including Vertex AI, GKE Autopilot, AlloyDB, Dataplex, Apigee, and emerging GCP AI infrastructure
- Deep expertise in agentic system design, including hierarchical orchestration, dynamic tool calling, persistent memory, multimodal reasoning, and human-in-the-loop governance
- Strong expertise in LLM fine-tuning and model evaluation at scale using Vertex AI Pipelines
- Experience designing enterprise systems for multi-tenancy, data residency, zero-trust security, and regulatory compliance
- Experience optimizing costs at scale using spot and preemptible GPU workloads, resource quotas, and GCP FinOps
- Exceptional communication skills for executive, customer, and engineering audiences
- Proven record of delivering platform-level impact and driving engineering culture
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
