Applied AI and ML Engineer

Google LLC; Bengaluru; On-site; INR 3,500,000 - 9,000,000; Full time

Job summary

Google LLC in Bengaluru is seeking a staff-level AI/ML architect to design and deploy end-to-end agentic solutions for transforming legacy Finance processes into AI-native workflows. You will lead technical strategy, multi-agent design, and production deployment with human-in-the-loop interfaces for finance professionals.

Join Google’s Finance Data and AI (DnA) team to build secure, scalable AI solutions across accounting, finance operations, and FP&A, while ensuring observability, governance,

Qualifications

• Master's degree in a quantitative discipline or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD in a quantitative discipline.
• 1 year of experience building agentic systems.

Responsibilities

• Contribute to the technical design of multi-agent workflows, utilizing ML and Gemini LLMs to solve complex financial problems.
• Build, prototype, and scale end-to-end AI agents with robust architectures ensuring reliability, usability, and auditability.
• Scale prototypes to production with high-availability model endpoints and health checks.
• Implement evaluation frameworks and guardrails to prevent logical errors, hallucinations, and biases in automated decisions.

Skills

Python

R

SQL

Querying databases

Statistics

Education

Master's degree in a quantitative discipline

PhD in a quantitative discipline

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree in a quantitative discipline (e.g., Statistics, Engineering, Sciences).
• 1 year of experience building agentic systems.

Preferred qualifications:

• 4 years of experience using analytics to solve product problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  
• Experience working in a financial, audit, or highly regulated domain where deterministic accuracy and auditability are paramount.
• Demonstrated expertise in developing and deploying AI or ML models and utilizing modern observability/monitoring tools to track performance, latency, model drift.
• Excellent communication skills, with a proven ability to translate complex technical architectures and probabilistic model behaviors.
• Strong command of classical ML modeling (e.g., time-series forecasting, tree-based models) alongside modern LLM/Generative AI tooling.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

At Google, data drives all of our decision-making. As part of the Finance Data and AI (DnA) team in the CFO organization, our focus is on building secure, scalable, and intelligent solutions that transform financial operations.

In this role, you will lead the technical strategy, design, and deployment of end-to-end AI/ML and Agentic solutions to transform legacy Finance processes into AI-native workflows. You will not just build models; you will design autonomous, self-correcting agentic systems that partner with Finance Googlers to drive unprecedented efficiency across Google's Finance organization. You will operate at the intersection of advanced ML and Agentic tools to design, develop and deploy large-scale solutions for various Finance processes like Accounting, Finance Operations, financial planning and analysis, etc.

Responsibilities

• Contribute to the technical design of multi-agent workflows, utilizing a toolkit (ML and Gemini LLMs) to solve complex, multi-layered financial problems.
• Build, prototype, and scale end-to-end AI agents. Collaborate with senior developers to build robust system architectures that prioritize reliability, usability, and auditability—ensuring clear human-in-the-loop interfaces for finance professionals.
• Take prototypes from isolated testing environments to scaled production systems. Collaborate with senior developers to design and deploy high-availability model endpoints with robust health checks, error handling, retries, and fallback mechanisms.
• Implement rigorous evaluation frameworks and guardrails to eliminate logical errors, hallucinations, and biases in automated financial decision-making.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.