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Design, build, and operate secure, scalable AI platform capabilities (IaC, Kubernetes, CI/CD, observability, IAM) to enable enterprise AI delivery. Create reusable services (model/API gateways, inference routing, vector/retrieval), enforce governance and SLOs, optimize cost/performance, and mentor engineers while partnering with security and architecture stakeholders.

Design and build secure, automated developer platforms and CI/CD pipelines for regulated enterprises. Implement software supply chain security, policy-as-code, governance automation, deployment strategies, observability, and reusable platform templates. Lead architecture, mentor engineers, and collaborate with security, risk, and operations stakeholders to enable compliant AI-assisted development.

The Principal Platform Engineer will design and implement AI platforms, including distributed systems and orchestration frameworks, mentor engineers, and define best practices for LLM integration.

The Principal Platform Engineer will design and build scalable ML platforms, develop cloud-native infrastructure, and manage the model lifecycle in enterprise environments, focusing on MLOps capabilities and mentoring engineers.

The Senior Platform Engineer will build AI systems, develop APIs, support scalability, and integrate AI capabilities for financial services clients.

RAVL is seeking Senior ML Platform Engineers to build and scale machine learning platforms, develop ML pipelines, and support MLOps workflows in cloud environments.

The Principal Technical Advisor/Architect will guide client executives on architectural strategies, create scalable solutions, and ensure technical alignment with business outcomes while mentoring teams and shaping advisory capabilities.

The Technical Project Manager will lead the delivery of complex technical projects in financial services, ensuring collaboration, communication, and risk management across teams.

The Principal Consultant will lead technology advisory engagements, build client relationships, manage project outcomes, and develop consulting teams, focusing on impactful technology solutions.

This apprenticeship offers mentorship, formal training, and hands-on coding experience. Responsibilities include completing training, collaborating with mentors, and shipping working code.