AI Platform LLMOps Engineer

Job Overview

Our client currently looking for AI Platform LLMOps Engineer

About your role:
You will join Fiserv to help advance enterprise AI capabilities that support our clients and regulated product lines. You will design, deploy, and maintain LLM-driven services and supporting infrastructure, partnering with product, data, and risk teams to deliver reliable, compliant AI solutions. The role focuses on lifecycle management, evaluation, and production-grade integration of models and retrieval systems.

What you’ll do:

• Deploy, version, and manage LLMs, adapters, and fine-tuned variants through a centralized model registry and CI/CD pipelines.
• Design and automate pipelines for training, validation, canary releases, rollbacks, and continuous fine-tuning loops.
• Build evaluation frameworks for task accuracy, safety, bias, and hallucination detection; run offline and online evaluations including human-in-the-loop workflows.
• Implement telemetry, drift detection, and performance dashboards for models and embeddings.
• Partner with data engineers to maintain knowledge graph and vector store infrastructure; develop ingestion, ontology update, and embedding refresh pipelines with domain isolation.
• Manage lightweight fine-tuning (LoRA/PEFT), curate/preprocess datasets, and track model performance deltas while maintaining compliance guardrails.
• Collaborate with product managers, compliance, security, and risk teams to define evaluation benchmarks and ensure responsible AI practices.
• Provide technical guidance, SDKs, and documentation for developers integrating LLMs into products.

Experience you’ll need to have:

• 10+ years of experience in Python development and LLM frameworks (Hugging Face, LangChain, LlamaIndex, PEFT/LoRA).
• 8+ years of experience in cloud platforms and container orchestration (Azure, AWS, Google Cloud Platform, Kubernetes/Openshift, Docker).
• 8+ years of experience in model lifecycle management and MLOps tooling (model registries, ML CI/CD, Terraform/Helm integration).
• 6+ years of experience in knowledge graphs and vector search technologies (Neo4j, Amazon Neptune, Weaviate, Pinecone, FAISS).
• 6+ years of experience in database design and data modeling for large-scale AI datasets (PostgreSQL, Snowflake, MongoDB).
• 6+ years of experience in infrastructure-as-code and CI/CD tooling (Terraform, Helm, Gitlab, GitHub Actions, Jenkins).

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  Apply by clicking on the “Apply Now” button below!

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