AI Engineer - Vice President

Deutsche BankCary, NC
14h$125,000 - $185,000Hybrid

About The Position

As an AI Engineer, you will design, build, and scale end‑to‑end AI solutions across backend services, cloud infrastructure, and user-facing applications. You will work across LLM processing pipelines, data ingestion and transformation workflows, API-driven services, and modern web interfaces, while ensuring solutions are secure, scalable, and production-ready. This role requires strong engineering fundamentals in Python, cloud-native development, and modern frameworks, along with the ability to collaborate across platform, infrastructure, and frontend teams to deliver enterprise-grade AI capabilities.

Requirements

  • Strong proficiency in Python and API design for production‑grade AI systems
  • Experience building and deploying cloud‑native applications on GCP (e.g., GKE, Cloud Run, IAM)
  • Hands‑on experience with modern web technologies such as React JS and frontend‑backend integration patterns
  • Experience working with relational, vector, and NoSQL databases (e.g., PostgreSQL, pgvector, Graph DBs)
  • Familiarity with CI/CD pipelines, infrastructure‑as‑code, and automated deployment practices
  • Experience with Google ADK / Vertex AI

Nice To Haves

  • Experience integrating open‑source and commercial AI frameworks into enterprise environments
  • Ability to design scalable, secure AI systems that support high‑concurrency production workloads

Responsibilities

  • Design, develop, and maintain LLM processing pipelines and AI‑powered services
  • Build and optimize data ingestion, transformation, and API‑driven workflows supporting AI applications
  • Develop and integrate backend services with modern web interfaces to deliver seamless end‑to‑end user experiences
  • Implement and maintain cloud‑native deployment architectures and CI/CD pipelines for AI solutions
  • Ensure AI applications meet enterprise standards for scalability, reliability, security, and compliance
  • Rapidly prototype solutions to automate manual processes and improve development efficiency
  • Implement and manage enterprise system integrations, cloud services, and event‑driven architectures supporting AI workflows

Benefits

  • A diverse and inclusive environment that embraces change, innovation, and collaboration
  • A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
  • Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
  • Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
  • Educational resources, matching gift and volunteer programs
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