Senior Cloud and AI Infrastructure Engineer
The Role
As a Senior Cloud and AI Infrastructure Engineer you will work within a highly collaborative, multi-functional team committed to improving the value of our technology solutions. The team blends deep technology and business expertise with a passion for exploring and implementing new emerging technologies while working in an open and transparent way. We are passionate about opensource contribution, sharing our expertise and knowledge with the engineering community, participating in foundations like the CNCF, CDF and FINOS while embracing a continuous learning approach support by a dedicated learning day each week.
The Expertise and Skills You Bring
- Experience with LLM application patterns such as prompt engineering, retrieval-augmented generation (RAG), tool use, model evaluation, guardrails, and autonomous/agentic workflows.
- Strong experience deploying and operating cloud-native applications in AWS, especially EKS, EC2, and related platform services; experience with Bedrock and/or SageMaker preferred.
- Hands-on experience with infrastructure as code and platform automation using tools such as CloudFormation, Helm, OpenTofu/Terraform, and GitOps-style workflows.
- Strong software engineering skills with hands-on experience in one or more languages, with Python as a primary language; additional experience in Go, Rust, and/or TypeScript/Angular preferred.
- Experience building and operating CI/CD pipelines using tools such as GitHub Actions, Jenkins, Artifactory, and SonarQube.
- Understanding of security, compliance, and responsible AI practices, including secure handling of enterprise data, secrets, access controls, and AI governance.
- Strong communication and collaboration skills, with the ability to partner across engineering, security, platform, and developer experience teams.
- Passion for emerging AI technologies, continuous learning, and fostering a DevOps/platform engineering culture.
Bonus skills
- Working knowledge of Model Context Protocol (MCP) and how it is used to connect models and agents to enterprise tools and services.• Experience deploying and operating GenAI agents or multi-agent systems in production.
- Experience with LLMOps / AI platform engineering, including evaluation pipelines, model observability, prompt/version management, and usage/cost tracking.
- Relevant certifications such as AWS Certified Solutions Architect, AWS Machine Learning Specialty, CKA, or equivalent cloud/platform credentials.
- Experience building and deploying generative AI applications and developer productivity tooling in enterprise environments.
The Team
This is an opportunity for a highly motivated Cloud Engineer to join Fidelity Architecture and Engineering (FAE) and work in a diverse, open and transparent culture where you will contribute to powering the next generation of Fidelity’s digital services through innovative solutions using the latest cloud native technologies and leading-edge engineering practices.
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.
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
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Strong & Reliable Incentives — Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
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Retirement Support — A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
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Parental & Family Support — Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.
Fidelity Investments Insights
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What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
