Responsibilities
- Define and own the long-term technical roadmap for organization-wide GCP agentic AI systems.
- Design enterprise-scale, multi-tenant, multi-agent architectures supporting reasoning, planning, and execution pipelines.
- Evaluate and adopt GCP AI capabilities, including Gemini, grounding, agent-to-agent protocols, and open-source frameworks.
- Establish engineering standards, design patterns, and governance for safe, unbiased, auditable, and responsible AI deployment.
- Lead cross-functional initiatives involving platform engineering, data teams, ML research, and product teams.
- Partner with executive stakeholders on AI strategy and engineering execution.
- Provide technical due diligence for vendor and build-versus-buy decisions.
- Mentor and develop senior and mid-level engineers.
- Optimize AI infrastructure costs using GPU workload strategies, resource quotas, and FinOps on GCP.
Requirements
- At least 12 years of professional experience is stated as the minimum requirement; the detailed qualifications also specify 8 or more years of engineering experience.
- At least 3 years of experience leading complex AI, ML, or agentic platform initiatives.
- Expert-level GCP knowledge across Vertex AI, GKE Autopilot, AlloyDB, Dataplex, Apigee, and emerging GCP AI infrastructure.
- Deep mastery of hierarchical agent 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 for multi-tenancy, data residency, zero-trust security, and regulatory compliance.
- Experience optimizing costs at scale through spot and preemptible GPU workloads, resource quotas, and FinOps on GCP.
- Demonstrated platform-level impact and ability to drive engineering culture.
- Exceptional communication skills for executive, customer, and engineering audiences.
- 15 years of full-time education is listed as an educational qualification.
Benefits
- Full-time employment.
- Remote or hybrid work mode.
Tech Stack
Categories
About Accenture
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com. This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to: - Use common courtesy and be respectful of others. - Create your own original content and avoid content that you know to be fraudulent. - Never repost someone else's copyrighted work, unless you have permission. - Never post personal, identifying, or confidential information. We reserve the right to delete comments or posts we deem to be: - Profane, obscene, inappropriate, offensive, abusive material. - Spam, repeated comments and commercial messages and personal advertisements. - Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability. - Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization. - False, inaccurate, libelous, or otherwise misleading in any way.