GenAI Platform Engineer - Scalable LLM Systems Lead

U.S. Bank

Cincinnati (OH)

Vor Ort

USD 124.000 - 146.000

Vollzeit

vor 3 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

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Benefits dieser Stelle

Healthcare
Life Insurance
Disability insurance
Parental leave
401(k) matching
Paid vacation
11 paid holidays
Adoption assistance
Sick leave

Zusammenfassung

U.S. Bank is seeking a Senior Engineer (Generative AI) to design, develop, and deploy scalable GenAI solutions within an enterprise environment.

You will work with LLM-based applications, GenAI architectures, and cloud-native practices to deliver production-ready AI systems that meet enterprise standards for security, reliability, and performance. The role collaborates with cross-functional teams to build GenAI pipelines using LangChain, LangGraph, and Foundry Agent Service, while evaluating

Qualifikationen

  • Bachelor’s degree or equivalent work experience.
  • 5–6 years of relevant software/platform engineering experience.
  • 2+ years hands-on GenAI experience with LLMs, RAG architectures and vector databases.
  • Experience with cloud platforms (Azure and/or AWS).
  • Proficiency in Python and containerized microservices.
  • Experience deploying GenAI/ML solutions in production and observability tools.
  • Familiarity with AI governance, security practices.

Aufgaben

  • Design, develop, and deploy scalable GenAI solutions.
  • Develop GenAI applications leveraging LLMs, RAG, prompts, and agentic AI concepts.
  • Build intelligent pipelines using LangChain, LangGraph, and Foundry Agent Service.
  • Evaluate performance, accuracy, and scalability of GenAI implementations.
  • GenAIOps & Lifecycle Support; end-to-end GenAI lifecycle including design, development, deployment, and optimization.
  • Support secure deployment, horizontal scaling, and observability practices for production environments.
  • Develop GenAI systems across cloud platforms (Azure and AWS); contribute to distributed system design for scalable AI workloads.
  • Utilize containerization (Docker), orchestration (Kubernetes), and IaC (Terraform, ARM/Bicep).
  • Ensure availability, performance, and security; participate in CI/CD pipelines and code reviews.

Kenntnisse

GenAI
LLMs
RAG
Python
Docker
Kubernetes
CI/CD
Observability
Security
Cloud platforms
Distributed systems

Ausbildung

Bachelor’s degree in Computer Science or Engineering

Tools

LangChain
LangGraph
Microsoft Foundry Agent Service
Docker
Kubernetes
Terraform
ARM/Bicep

Jobbeschreibung

U.S. Bank is seeking a Senior Engineer (Generative AI) to design, develop, and deploy scalable GenAI solutions within an enterprise environment.

You will work with LLM-based applications, GenAI architectures, and cloud-native practices to deliver production-ready AI systems that meet enterprise standards for security, reliability, and performance. The role collaborates with cross-functional teams to build GenAI pipelines using LangChain, LangGraph, and Foundry Agent Service, while evaluating

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