Principal Engineer, AI and Data Platforms - Director

Deutsche Bank AG; Weston (NC); Hybrid; USD 170,000 - 255,000; Full time

Benefits offered by this job

Hybrid work

Generous vacation

Volunteer days

Health benefits

Retirement plans

Parental leave

Job summary

Deutsche Bank AG in Cary, North Carolina, is seeking a Principal Engineer, AI and Data Platforms to lead hands-on engineering across Ada and Vista, shaping the next generation of enterprise AI and data platforms on Google Cloud. You will guide platform design, reliability, and production readiness while collaborating with multiple engineering teams to deliver secure, scalable solutions.

The role requires deep GCP and AI expertise, experience with large-scale data workflows, and a focus on

Qualifications

• Advanced hands-on Google Cloud Platform experience, including GKE and production-grade GCP operations, with experience across Cloud Run, Vertex AI, BigQuery, Pub/Sub, Dataflow, Cloud SQL, Cloud Storage, IAM, Workload Identity, and cloud networking.
• Deep AI engineering experience with agentic AI platforms and production AI engineering, including large language model integration, retrieval-augmented generation patterns, AI runtime services, model orchestration, evaluation frameworks, and AI observability.
• Strong experience with large-scale data platforms, streaming pipelines, real-time processing, lakehouse patterns, data products, metadata, lineage, and governed data services for AI and analytics.
• Advanced platform engineering knowledge spanning Kubernetes, Terraform, GitOps, continuous integration and continuous delivery, internal developer platforms, API platforms, service mesh, event-driven architecture, and reusable platform capabilities.
• Deep understanding of distributed systems, microservices, OpenTelemetry, site reliability engineering, DevSecOps, performance engineering, resilience engineering, and production operations.
• Proven ability to leverage AI tools to enhance productivity and optimize workflows to solve business problems, while applying critical judgment to ensure the responsible and ethical use of data and AI outputs

Responsibilities

• Provide hands-on technical leadership across Ada and Vista engineering teams, guiding design choices, implementation patterns, code quality, reliability practices, and production readiness for complex AI and data platform services.
• Work directly with engineers to solve difficult platform engineering problems across AI runtimes, data services, distributed systems, cloud infrastructure, observability, automation, and operational resilience.
• Contribute to the design and build of reusable platform services, engineering frameworks, developer tooling, and cloud-native capabilities on Google Cloud.
• Improve the scalability, performance, reliability, security, and operability of production services supporting critical AI and data workloads.
• Lead deep technical reviews covering system design, implementation approach, deployment patterns, failure modes, incident learning, and service maturity.
• Raise engineering standards across multiple teams through practical technical coaching, mentoring, design guidance, and disciplined software engineering practices

Skills

Google Cloud Platform

AI engineering

Large-language models

Distributed systems

Reliability engineering

Tools

Kubernetes (GKE)

Terraform

GitOps

CI/CD

OpenTelemetry

Service mesh

Cloud Run

Job description

Job Description:Job Title Principal Engineer, AI and Data PlatformsCorporate Title DirectorLocation Cary, NCWho we are:In short – an essential part of Deutsche Bank’s technology solution, developing applications for key business areas.Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work.Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here .OverviewThis is an exciting opportunity to play a leading technical role in shaping the next generation of enterprise AI and data platforms on Google Cloud. You will provide hands-on technical leadership across Ada, our AI execution platform, and Vista, our core data platform supporting AI and analytics solutions, tackling complex engineering challenges and helping these capabilities scale and mature. You will bring deep expertise across AI, data, cloud, platform, and reliability engineering to influence technical direction, elevate engineering standards, and build secure, resilient, production-ready solutions. This role is ideal for a deeply technical engineering leader who wants to remain close to the technology while making an impact across multiple engineering teams and critical enterprise platforms.What We Offer YouA diverse and inclusive environment that embraces change, innovation, and collaborationA hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer daysEmployee Resource Groups support an inclusive workplace for everyone and promote community engagementCompetitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefitsEducational resources, matching gift and volunteer programsWhat You’ll DoProvide hands-on technical leadership across the Ada and Vista engineering teams, guiding design choices, implementation patterns, code quality, reliability practices, and production readiness for complex AI and data platform servicesWork directly with engineers to solve difficult platform engineering problems across AI runtimes, data services, distributed systems, cloud infrastructure, observability, automation, and operational resilienceContribute to the design and build of reusable platform services, engineering frameworks, developer tooling, and cloud-native capabilities on Google CloudImprove the scalability, performance, reliability, security, and operability of production services supporting critical AI and data workloadsLead deep technical reviews covering system design, implementation approach, deployment patterns, failure modes, incident learning, and service maturityRaise engineering standards across multiple teams through practical technical coaching, mentoring, design guidance, and disciplined software engineering practicesHow You’ll LeadPartner with Ada and Vista engineering teams to align technical decisions and strengthen implementation, platform quality, and production readiness across AI and data servicesInfluence engineers and technical stakeholders across AI, data, cloud, platform, software, and reliability disciplines through sound technical judgment and practical contributionCoach and mentor engineers across multiple teams while setting expectations for design quality, secure and reliable delivery, operational resilience, and service maturitySkills You’ll NeedAdvanced hands-on Google Cloud Platform experience, including GKE and production-grade GCP operations, with experience across Cloud Run, Vertex AI, BigQuery, Pub/Sub, Dataflow, Cloud SQL, Cloud Storage, IAM, Workload Identity, and cloud networkingDeep AI engineering experience with agentic AI platforms and production AI engineering, including large language model integration, retrieval-augmented generation patterns, AI runtime services, model orchestration, evaluation frameworks, and AI observabilityStrong experience with large-scale data platforms, streaming pipelines, real-time processing, lakehouse patterns, data products, metadata, lineage, and governed data services for AI and analyticsAdvanced platform engineering knowledge spanning Kubernetes, Terraform, GitOps, continuous integration and continuous delivery, internal developer platforms, API platforms, service mesh, event-driven architecture, and reusable platform capabilitiesDeep understanding of distributed systems, microservices, OpenTelemetry, site reliability engineering, DevSecOps, performance engineering, resilience engineering, and production operationsProven ability to leverage AI tools to enhance productivity and optimize workflows to solve business problems, while applying critical judgment to ensure the responsible and ethical use of data and AI outputsSkills That Will Help You ExcelAbility to combine deep hands-on engineering expertise with technical leadership across AI, data, cloud, platform, software, and reliability engineering, remaining close to code, design, implementation, and production issues while influencing quality across multiple teamsStrong technical judgment when evaluating complex system designs, implementation approaches, deployment patterns, and production risksEffective coaching and mentoring skills, with the ability to raise engineering standards through practical guidanceAbility to influence engineering quality and alignment across AI, data, cloud, platform, and reliability stakeholdersCommitment to secure, scalable, reliable, and operable enterprise platform services supporting critical workloadsExpectationsIt is the Bank’s expectation that employees hired into this role will work in the Cary office in accordance with the Bank’s hybrid working model.Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.The salary range for this position in Cary is $170,000 to $255,000. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.Deutsche Bank BenefitsAt Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That’s why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more!Learn more about your life at Deutsche Bank through the eyes of our current employees: https://careers.db.com/lifeThe California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank’s California Privacy Notice please email [e-mail] .#LI-HYBRIDWe strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.We welcome applications from all people and promote a positive, fair and inclusive work environment.Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank’s Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights ; Employee Rights and Responsibilities under the Family and Medical Leave Act ; and Employee Polygraph Protection Act .