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Pure Storage · Global, India officeAll 35 open roles ›

Senior AI Engineer, Agentic AI for Finance

Bengaluru · Posted
Location
Bengaluru
Level
Senior
Experience
Not stated
Pay
Not listed
Workplace
Not stated
Posted
2 days ago
Status
Open · checked 11h ago

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Skills mentioned in the posting

  • Snowflake
  • Next.js
  • Datadog
  • LLM
  • Python
  • TypeScript
  • SQL
  • AWS
  • Lambda
  • RAG

About the role

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

Senior AI Engineer, Agentic AI for Finance

Join the AI Factory as a founding engineer driving the Office of the CFO's mission to transform Finance into an agile strategic advisor delivering enterprise-wide productivity and insight. In this high-impact technical contributor role, you will autonomously architect, build, and deploy production-grade multi-agent systems and foundational platform components. You will set technical direction for internal engineers and vendor partners, writing production code daily while maintaining rigorous alignment with the Everpure™ platform architecture.

WHAT YOU'LL DO

Architect and deploy multi-agent workflows: Design, ship, and own end-to-end multi-agent systems using LangGraph and Amazon Bedrock AgentCore, ensuring financial calculations, business logic, and outputs remain fully deterministic, auditable, and production-ready.

Build enterprise tool integrations and secure data access: Create secure, least-privilege Model Context Protocol (MCP) tools across core systems (ERP, CRM, ticketing) and implement grounded retrieval architectures and read-only query layers on Snowflake to deliver trusted operational insights.

Deliver enterprise-grade user interfaces and approval portals: Develop performant Next.js portals, administrative consoles, and human-in-the-loop review interfaces to enable business teams to validate outputs and maintain strict governance seamlessly.

Implement robust AI guardrails, safety, and evaluation frameworks: Establish automated evals, shadow-mode validation pipelines, role-based access controls, audit logging, and prompt-injection defenses to safeguard regulated financial workflows before release.

Drive operational reliability and collaborative technical excellence: Monitor platform accuracy, drift, latency, and cost using observability tools like Datadog and Langfuse, while guiding vendor and in-house engineers through rigorous code reviews, architecture specs, and on-call ownership.

WHAT YOU BRING

Production-proven agentic AI and distributed systems expertise: Deep hands-on experience designing, shipping, and running complex multi-agent architectures and LLM applications in production, with mastery of Python, TypeScript, SQL, LangGraph, and cloud ecosystems such as AWS (Bedrock, AgentCore, Lambda, ECS).

Enterprise data integration and architectural rigor: Demonstrated proficiency developing secure tools and APIs using Model Context Protocol (MCP), designing grounded retrieval/RAG pipelines over enterprise data platforms (such as Snowflake), and managing fine-grained authorization and data security.

Safety, governance, and evaluation ownership: Proven capability implementing enterprise security controls, comprehensive audit logging, human-in-the-loop verification, and continuous automated evaluation frameworks to manage latency, cost, and accuracy trade-offs.

Cross-functional leadership and technical communication: Demonstrated ability to translate complex financial and business processes into clear system specifications, evaluate technical trade-offs effectively, and guide cross-functional contributors through architectural reviews and mentorship.

Workplace Model: We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU CAN EXPECT FROM US

  • Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
  • Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
  • Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information.

ACCOMMODATIONS AND ACCESSIBILITY

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM

Join us and bring your best.

Bring your bold.

Pure and simple.

About Pure Storage, diversity & equal opportunity

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

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