AI Infrastructure Architect

• 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

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