AI and Automation Solutions Architect, Finance Operations

Google • Chicago, IL

1d • $128,000 - $187,000

About The Position

As part of a Finance Operations team, the AI and Automation Solutions Architect understands operations and applies an automation and AI-first mindset to design and build solutions for complex operational challenges, including scale, data governance, and compliance. The role combines architecture with hands-on building: rapidly prototyping, testing, and deploying AI-driven solutions that replace manual workflows with scalable automation. It operates with a high degree of independence and uses AI-assisted development and low-code solutions to demonstrate value and accelerate organizational adoption of AI. The architect bridges technical potential and operational execution, collaborating with partner teams and helping operations leaders use emerging technologies to address complex challenges. The role is suited to someone who can thrive in ambiguous, changing environments and wants to shape AI-native operations with global impact.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. The stated US compensation is $128,000–$187,000 USD, plus a 15% bonus target, equity, and benefits.

Requirements

• Bachelor's degree in Business, Finance, Engineering, or Operations, or equivalent practical experience.
• Seven years of experience in Engineering, Product Management, Technical Project Management, or a Finance Operations role (such as Q2R, S2P, H2R, or A2R), or five years of experience with an advanced degree.
• Experience designing, building, or deploying functional apps or workflows using LLMs and GenAI agents.

Nice To Haves

• Experience designing, testing, and integrating APIs or other solutions to connect disparate systems.
• Experience using Google's AI ecosystem, such as Vertex AI, Gemini, or Google AI Studio, alongside AI-assisted coding tools.
• Proficiency in SQL and using data pipelines to measure, analyze, and optimize system performance.
• Understanding of data governance, privacy compliance frameworks, and AI guardrails.
• A track record of optimizing business operations by replacing manual, legacy workflows with scalable technical infrastructure.

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 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, transitioning agile prototypes into scalable, enterprise-grade production systems.
• Establish a future-proof FinOps architecture that supports integration of emerging AI capabilities while maintaining data governance and scalability standards.
• Partner with key engineering teams to advance AI capabilities across multiple systems and platforms.

Benefits

• 15% bonus target
• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior