Platform Engineer - AI Guardrails (OpenShift)

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

This role engineers and operates enterprise vendor platforms in our on-premises Red Hat OpenShift environment. You will own the deployment, configuration, reliability, and day-to-day support of the AI guardrails platform that sits in the request path of GenAI applications across the bank. Because the platform is inline with production traffic, availability, latency, and fast recovery matter as much as features.

This is a platform and systems engineering role, not a model development role. The focus is keeping a business-critical, third-party platform secure, stable, performant, and recoverable as adoption grows. You will work closely with the vendor, OpenShift platform teams, information security, and the application teams that consume the service.

Exposure to AI tooling is helpful, but what matters most is a track record of running enterprise platforms in production. The ideal engineer is hands-on, comfortable owning production issues end to end, picks up new tools quickly, and can lead cross-functional work to get things done.

Responsibilities

Deploy, configure, upgrade, and support vendor applications on on-premises OpenShift using Helm and CI/CD pipelines.

Manage OpenShift namespaces, resource quotas, storage, networking, routes, and network policies.

Onboard vendor container images and Helm charts into internal registries and drive remediation of image vulnerability findings.

Own platform availability, performance, and capacity, including scaling, latency, and throughput for services in the production request path.

Build and maintain infrastructure and application monitoring, logging, and alerting (e.g., Splunk, Dynatrace, Prometheus, Grafana).

Lead production incident response, root cause analysis, and permanent fixes; manage vendor escalations through resolution.

Implement and maintain security controls, including TLS certificates, secrets management, SSO/OAuth integration, encryption, and access management.

Design, document, and test high availability, backup, and disaster recovery/contingency procedures.

Automate environment builds, deployments, and code promotion across development, test, and production.

Create and maintain runbooks and support documentation, and transition operational support to production support teams.

Support application teams onboarding to the platform and troubleshoot integration issues (APIs, authentication, connectivity).

Mentor engineers and drive engineering standards across internal, offshore, and vendor teams.

Required Qualifications

10+ years of software, systems, or platform engineering experience supporting production applications.

Bachelor's or Master's degree in Computer Science, Data Science, MIS, or equivalent experience.

Hands-on experience deploying and operating workloads on Red Hat OpenShift or Kubernetes in production.

Experience supporting third-party/vendor enterprise platforms end to end, including installs, upgrades, patching, and vendor escalations.

Strong Linux (RHEL) administration and troubleshooting skills.

Experience with Helm, container registries, and CI/CD pipelines.

Scripting and automation experience with Python, Bash, or similar.

Experience with infrastructure and application observability tools such as Splunk, Dynatrace, Prometheus, or Grafana.

Working knowledge of enterprise security controls, including TLS certificates and trust stores, secrets management, SSO/OAuth, and role-based access.

Experience with high availability, capacity planning, performance tuning, and disaster recovery for production platforms.

Experience working in Agile environments.

Proven ability to lead technical initiatives and influence stakeholders.

Strong analytical, problem-solving, and communication skills.

Desired Qualifications

Experience delivering technology solutions within large, regulated enterprise environments, preferably financial services.

Experience supporting platforms used by GenAI/LLM applications, or familiarity with AI guardrails, LLM evaluation, or AI observability tools.

Familiarity with LLM application frameworks (e.g., LangChain) or OpenAI-compatible APIs.

Experience with API gateways, proxies, and service integration patterns.

Experience with configuration management or infrastructure-as-code tooling.

Self-directed, collaborative working style and ability to quickly learn new technologies.

Skills:

Application Development

Automation

Influence

Solution Design

Technical Strategy Development

Architecture

Business Acumen

DevOps Practices

Result Orientation

Solution Delivery Process

Analytical Thinking

Collaboration

Data Management

Risk Management

Test Engineering

Shift: 1st shift (United States of America)

Hours Per Week: 40

Pay Transparency details

US - NJ - Jersey City - 101 Hudson St - 101 Hudson (NJ2101), US - NJ - Pennington - 1600 American Blvd - Hopewell Bldg 6 (NJ2600), US - VA - Richmond - 8011 VILLA PARK DR - VILLA PARK OPS CENTER BLDG B (VA2125)

Pay and benefits information

Pay range

$102,900.00 - $179,900.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.