Google
Senior AI and Automation Solutions Architect, Finance Operations
Found: Today
Senior AI and Automation Solutions Architect, Finance Operations
About the job
As part of a Finance Operations team, you understand operations and bring an automation and AI-First mindset to help design and build frontier solutions for our most complex operational challenges—navigating scale, data governance, and compliance to re-engineer the future of our processes.
As an AI and Automation Solutions Architect, you are a builder and a change agent. You will not just map out strategies; you will rapidly prototype, test, and deploy AI-driven solutions that replace manual workflows with intelligent, scalable automation. Operating with a high degree of independence, you will bypass traditional, slow-moving development cycles by utilizing AI-assisted development ("vibe coding") and low-code solutions to prove value instantly. You will act as the tip of the spear, showing the broader organization what is possible and accelerating our adoption of AI at scale.
This role requires both an 'architect' and 'builder' mindset. We advocate for operational excellence while enabling our operations leaders to leverage frontier technologies to solve their most complex challenges. You will bridge the gap between technical potential and operational execution, collaborating closely with a set of partner teams.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $157000 - $227000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Minimum qualifications:
- Bachelor's degree in Business, Finance, Engineering, or Operations, or equivalent practical experience.
- 10 years of experience (or 8 years of experience with an advanced degree) in Engineering, Product Management, Technical Project Management, or a Finance Operations (Q2R, S2P, H2R, A2R, etc.) role.
- Experience designing, building or deploying functional apps/workflows utilizing LLMs and GenAI Agents.
Preferred qualifications:
- Experience in product or program management or other technical roles.
- Experience using Google’s AI ecosystem (e.g., Vertex AI, Gemini, Google AI Studio) alongside AI-assisted coding tools.
- Experience designing, testing, and integrating APIs or other solutions to connect disparate systems.
- Understanding of data governance, privacy compliance frameworks, and AI guardrails.
- Proficiency in SQL and utilizing data pipelines to measure, analyze, and optimize system performance.
- Expertise applying generative AI workflows, LLM prompt engineering, or intelligent automation within Finance or the Q2R domain.
Responsibilities
- Transition finance operations processes to an AI-first approach, replacing legacy workflows with generative AI and agentic workflows. Partner with process and operations managers to re-envision and redesign their processes with an AI-first mindset.
- Design, build and iterate on "vibe-coded" AI prototypes to proof-test solutions.
- Bridge technical gaps across product, engineering, and finance, seamlessly transitioning agile prototypes into scalable, enterprise-grade production systems.
- Establish a future-proof FinOps architecture that enables seamless integration of emerging AI capabilities and maintains strict data governance and scalability standards.
- Create highly impactful partnership with key engineering teams to be at the forefront of AI across multiple systems and platforms.
