Senior AI Platform Engineer (Data and Analytics Cloud Engineer)

5 days ago

Richmond, VA, USA +3 moreSenior

Base Salary

$130k - $170k/yr

Responsibilities

Design and execute an AI/ML and GenAI platform strategy aligned with enterprise architecture, security, and risk standards.
Own the engineering and lifecycle management of AI/ML platform components, including workspaces, training and inference patterns, model registries, feature storage, experiment tracking, prompt management, RAG enablement, and reusable templates.
Establish DevSecOps practices using GitLab source control, build automation, and CI/CD pipelines.
Deploy cloud infrastructure as code with Terraform and define standards for networking, identity, secrets, encryption, logging, and configuration management.
Implement security controls, AI/ML governance, model and prompt lifecycle controls, data lineage, approvals, risk assessments, and operational readiness practices.
Provide hands-on technical leadership for platform performance, reliability, scalability, cost, and security challenges.
Build platform reliability through automation and observability, including monitoring, logging, tracing, and SLOs.
Enable self-service platform consumption through standardized APIs, reusable pipelines, templates, and documentation.
Guide engineers through designs, reviews, delivery, and mentoring across distributed teams.

Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or a related field.
Minimum of 7 years of professional experience in AI and data.
Strong knowledge of AI models, data architectures, and analytics methodologies.
Preferred master’s degree and/or 8+ years of progressive experience delivering complex cloud platforms, preferably for AI/ML or analytics workloads at enterprise scale.
Experience building AI/ML platforms or MLOps capabilities, including training and inference automation, model packaging and deployment, model registries, experiment tracking, and operational monitoring.
Experience with Kubernetes or EKS, API enablement, and modern Python ML tooling.
Deep AWS expertise and moderate experience with Azure services and deployment patterns.
Hands-on DevOps/DevSecOps experience building GitLab CI/CD pipelines with automated testing, security scanning, artifact management, and controlled deployments.
Strong Terraform infrastructure-as-code experience, including building reusable modules and enforcing standards and guardrails.
Relevant cloud or security certifications are preferred, including AWS Solutions Architect, AWS DevOps Engineer, AWS Security Specialty, Azure Administrator, Azure Architect, or Terraform certification.
Strong mentoring and coaching skills for engineers across onshore and offshore teams.

Medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401(k) plan are available to eligible regular teammates working 20 or more hours per week.
Eligible teammates receive at least 10 days of vacation during their first year, 10 sick days, and paid holidays, prorated where applicable.
Depending on position and division, the role may be eligible for a defined benefit pension plan, restricted stock units, and/or deferred compensation plan.
This is a regular, non-temporary position on the first shift in the United States, with English fluency required.

10,000+ employees