Posted 15 days ago
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**Senior Cloud and AI Infrastructure Engineer** Drive cloud-native solutions and AI innovation in our collaborative, multi-functional team. Key responsibilities include: - Implementing LLM application patterns, with focus on prompt engineering, RAG, and tools. - Managing and deploying cloud-native applications in AWS (EKS, EC2), with preferred experience in Bedrock and SageMaker. - Mastering infrastructure as code tools (CloudFormation, Helm, OpenTofu/Terraform) and GitOps-style workflows. - Exhibiting strong software engineering skills, with primary proficiency in Python and a strong preference for additional experience in Go, Rust, or TypeScript. Required qualifications: - Proven experience in cloud infrastructure management, AI, and CI/CD pipelines. - Experience with enterprise-level AI governance, data security, and compliance. - Demonstrated collaboration skills across multiple teams. Preferred skills: - Knowledge of Model Context Protocol (MCP) and GenAI agent deployment. - Experience in LLMOps, prompt management, and AI usage tracking. - Relevant certifications (AWS, CKAD) or equivalent cloud/platform credentials. Join our diverse and inclusive Fidelity team to foster a DevOps culture and continuously enhance our leading-edge AI and cloud technologies.
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Full Job Description
Job Description:
Note: Fidelity will not provide immigration sponsorship for this position.
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 Fidelitys digital services through innovative solutions using the latest cloud native technologies and leading-edge engineering practices.
Certifications:
Category:
Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.
Please be advised that Fidelitys 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.
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Benefits that balance life and work
From our fully paid parent leave to our on-site health and wellness centers, our benefits support the belief that more balance you have, the better you can achieve your goals.
Company overview
Company overview
At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experience.
Reasonable accommodations
Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation contact the HR Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 3.
Equal opportunity employer
Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop, and retain a diverse workforce is to build an enduring culture of inclusion and belonging.
Hybrid work schedule
Fidelitys hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite all business days of every other week in a Fidelity office.
Applicant screening
At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.
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