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Senior Applied AI/ML Engineer

Google· Finance Data and AI (DnA)
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BengaluruFull-timePosted 3w ago

About the role

Applied AI/ML Engineer in Finance Data and AI (DnA) leading technical strategy, design, and deployment of end-to-end AI/ML and agentic solutions to transform legacy finance processes into AI-native workflows.

Responsibilities

  • Lead the technical design of multi-agent workflows, utilizing ML and Gemini LLMs to solve complex, multi-layered financial problems.
  • Build, prototype, and scale end-to-end AI agents with architectures prioritizing reliability, usability, and auditability, including clear human-in-the-loop interfaces for finance professionals.
  • Take prototypes from isolated testing environments to scaled production systems; design and deploy high-availability model endpoints with health checks, error handling, retries, and fallback mechanisms.
  • Implement evaluation frameworks and guardrails to eliminate logical errors, hallucinations, and biases in automated financial decision-making.
  • Partner with Product Managers, Engineers, and Finance stakeholders to translate ambiguous finance problems into concrete technical specifications; act as a self-sustaining technical leader to unblock system integration hurdles.

Qualifications

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

Skills

Required:Mastery of multi-agent systems and agentic AIML/AI model deployment

Benefits

  • Information collected and processed as part of Google Careers profile; equity is discretionary and governed by Alphabet Inc. stock plan terms (see privacy policy and EEO statements)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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