Senior AI Solutions Engineer

FiservFrisco, TX
Onsite

About The Position

As a Senior AI Solutions Engineer, you will be the technical expert for other engineers, product owners, and business leaders who want to ship an AI agent. You will be responsible for designing and building production agents within both the Microsoft 365 Copilot/Copilot Studio ecosystem and the Anthropic Claude platform, while also establishing the patterns and guardrails for the rest of the organization to adopt.

Requirements

  • 7+ years of software engineering experience
  • 5+ years of experience with Python, Typescript/Javascript
  • 2+ years of experience specifically building LLM-powered applications or agents in production with M365 Copilot, Copilot Studio, Power Platform, or equivalent enterprise agent platforms
  • 2+ years of hands-on experience with frontier LLM APIs (Anthropic Claude, OpenAI, Google, or Azure OpenAI)
  • Demonstrated experience with Claude Code or equivalent agentic coding tools as part of your own development workflow, and the judgment to know when to use them vs. when to write code directly
  • Prior experience with at least one agent framework (LangChain/LangGraph, Anthropic's agent SDK, Semantic Kernel, AutoGen, CrewAI)
  • Bachelor’s degree in computer science, or a relevant field, or an equivalent combination of education, work, and/or military experience

Nice To Haves

  • Prior experience in financial services, payments, or another regulated industry, and familiarity with how AI governance, model risk management, and audit actually work in those environments
  • Ability to communicate clearly in writing and in meetings with both technical peers and non-technical stakeholders, including senior leadership
  • Familiarity with Microsoft Graph APIs, Azure AI services, and how to build, deploy, and govern agents inside a Microsoft-centric enterprise
  • Working knowledge of RAG architectures, vector databases, embedding models, and the evaluation methodology
  • Experience building and publishing MCP servers, or building agents that consume them
  • Background in information security, particularly email security, identity, or threat detection
  • Experience with agent evaluation frameworks (Anthropic's evals, Braintrust, Langfuse, Arize, or similar) and with production LLM observability

Responsibilities

  • Design, build, deploy, and maintain production AI agents that automate enterprise workflows and augment employee productivity by owning the full lifecycle — requirements, architecture, prompt and tool design, evaluation, rollout, monitoring, and iteration
  • Serve as the hands-on expert for Anthropic’s Claude platform, Microsoft 365 Copilot, Copilot Studio, and the broader Microsoft agent ecosystem
  • Build custom agents, connectors, and extensions that integrate with Microsoft Graph, SharePoint, Teams, Outlook, and line-of-business systems
  • Design multi-step agent architectures: tool use, retrieval (RAG), memory, orchestration across multiple models and systems, human-in-the-loop checkpoints, and graceful failure modes
  • Build and maintain the evaluation harnesses that tell us whether an agent is actually working — offline evaluations, regression tests, production telemetry, cost and latency tracking, and quality metrics tied to business outcomes rather than vibes
  • Partner with security, compliance, legal, and model risk management to make sure every agent we ship meets company standards for data handling, auditability, access control, and responsible AI use
  • Set the technical patterns that let other engineers across Fiserv build on what you've built instead of starting from zero
  • Evaluate new models, frameworks, and platform releases as they land and make clear, opinionated recommendations about what we should adopt, what we should ignore, and why

Benefits

  • annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards
  • Equal Opportunity Employer
  • reasonable accommodation in completing a job application or otherwise participating in the overall hiring process
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