Senior GenAI Systems Engineer - Production RAG & MLOps

BNY

Jersey City (NJ)

On-site

USD 120,000 - 200,000

Full time

2 days ago
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Job summary

BNY is seeking a senior-level engineer to design, build, and operate production-grade GenAI and RAG platforms at scale in Jersey City, NJ. The role focuses on industrializing LLM-based systems with guardrails, observability, evaluation frameworks, and operational rigor.

You will own end-to-end lifecycle management, contribute to safety, cost efficiency, and collaborate with governance to meet enterprise standards; mentoring engineers and shaping best practices within a reliability-focused team.

Qualifications

  • Strong experience building and operating production ML or GenAI systems in enterprise environments.
  • Hands-on expertise with LLM orchestration frameworks (LangChain and/or LlamaIndex).
  • Experience with model registries and experiment tracking (MLflow or equivalent).
  • Solid understanding of Kubernetes-based deployments and cloud-native architectures.
  • Familiarity with feature stores, data pipelines, and retriever/index lifecycle management.
  • Proven telemetry, logging, metrics, and distributed tracing for ML/AI workloads.
  • Strong CI/CD practices for ML, GenAI, and data-driven systems.

Responsibilities

  • Design and build production-ready RAG pipelines with guardrails and observability.
  • Develop offline/online evaluation frameworks for prompts, models, datasets.
  • Own end-to-end lifecycle management for GenAI systems.
  • Establish CI/CD pipelines for prompts, models, and data.
  • Implement cost and performance monitoring and spend optimization.
  • Build safety mechanisms including content filtering and abuse detection.
  • Define incident management workflows with alerting and rollback.
  • Collaborate with product, platform, and governance teams for compliance.
  • Mentor engineers and propagate best practices for scalable AI.

Skills

Production ML/GenAI
LangChain
LlamaIndex
MLflow
Kubernetes
Feature stores
Data pipelines
Retriever/index lifecycle
Telemetry/ observability
CI/CD for ML

Tools

MLflow
Kubernetes
LangChain
LlamaIndex

Job description

BNY is seeking a senior-level engineer to design, build, and operate production-grade GenAI and RAG platforms at scale in Jersey City, NJ. The role focuses on industrializing LLM-based systems with guardrails, observability, evaluation frameworks, and operational rigor.

You will own end-to-end lifecycle management, contribute to safety, cost efficiency, and collaborate with governance to meet enterprise standards; mentoring engineers and shaping best practices within a reliability-focused team.

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