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Sr. AI Engineer

Job in Covington, Kenton County, Kentucky, 41011, USA
Listing for: Fidelity Management & Research Company
Full Time position
Listed on 2026-09-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Fidelity Talent Source is your destination for discovering your next temporary role at Fidelity Investments. We are currently sourcing for a Sr. AI Engineer to work in Covington, KY!

Senior AI Engineer

This is a unique Greenfield opportunity to help build a brand-new AI engineering organization focused on delivering innovative AI solutions that enhance the advisor and client experience across Fidelity Wealth.

The team's mission is to leverage artificial intelligence, automation, advanced analytics, and large language models (LLMs) to tackle real business problems, streamline advisor workflows, reduce administrative overhead, and help advisors spend more time delivering value to clients.

The Expertise You Bring

As an early member of this organization, you will play a key role in designing, building, and delivering AI-powered solutions from concept through production. This position offers the opportunity to collaborate closely with business partners, product teams, architects, data scientists, and fellow engineers to identify high-value opportunities and develop secure, scalable, enterprise-grade AI capabilities that drive important business outcomes.

This role is ideal for a hands-on Sr. AI Engineer who thrives at the intersection of AI, software engineering, data engineering, and cloud technologies. Successful candidates will possess strong technical expertise and a passion for building innovative solutions, partnering with cross-functional teams to translate business needs into practical AI applications. The ideal individual enjoys solving complex technical challenges, developing production-ready systems, and working towards the evolution of modern AI platforms and capabilities.

Example Use Cases

Representative initiatives may include developing AI-powered capabilities that improve advisor effectiveness and client engagement, such as:

  • Automated meeting preparation and research
  • Intelligent call summarization and insight generation
  • Automated follow-up and workflow orchestration
  • Knowledge retrieval and recommendation systems
  • AI-assisted decision support and productivity tools
  • Workflow automation leveraging enterprise data sources and communication channels
The Skills You Bring
  • Bachelor's degree or equivalent experience with 5+ years of software engineering experience.
  • Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.
  • Deep expertise building AI-powered applications utilizing large language models (LLMs), agent frameworks, and orchestration platforms (e.g., OpenAI, Claude, Bedrock, Lang Chain, Lang Graph).
  • Experience developing Retrieval-Augmented Generation (RAG) solutions, semantic search capabilities, and enterprise knowledge systems leveraging vector databases and retrieval frameworks.
  • Strong full-stack engineering background with modern languages and frameworks such as Python, Type Script, Node.js, APIs, React, and Next.js.
  • Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.
  • Experience with modern platform engineering and Dev Ops practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.
  • Strong understanding of software architecture, design patterns, security, and reliability principles for enterprise-scale applications.
  • Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.
  • Ability to collaborate optimally across engineering, data, product, and business teams while driving initiatives from concept to production.

Ultimately, I need a hands-on Senior AI Engineer who combines GenAI/LLM experience, strong software and data engineering fundamentals, and cloud platform expertise to design, build, and deploy AI solutions that solve real business challenges, enhance advisor efficiency, and automate key processes at scale.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Company Overview

At Fidelity, we are passionate about making our financial expertise broadly…

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