Senior AI Engineer: LLMs, RAG & Cloud Deployments (Remote)

Cognizant; Olympia (WA); On-site; USD 120,000 - 135,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus PTO

401(k) plan and contributions

Long‑term/Short‑term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an AI Developer to design, build, and productionize end-to-end AI solutions across LLMs, RAG pipelines, model fine-tuning, and cloud deployments. This role will work with product, engineering, and data teams to build scalable AI features that are reliable, performant, and secure in production environments.

The annual salary ranges from $120,000 to $135,000 depending on experience, with discretionary annual incentive eligibility.

Qualifications

• Experience designing end-to-end AI features including RAG systems and LLM applications.
• Experience deploying and monitoring AI models in production.
• Ability to explain trade-offs to non-technical stakeholders.

Responsibilities

• Design and implement end-to-end AI features, including RAG systems, agent workflows, embeddings pipelines, and fine-tuned LLM applications.
• Build and maintain data ingestion, chunking, embedding, retrieval, and prompt orchestration pipelines.
• Fine-tune and evaluate open-source and proprietary LLMs using LoRA, QLoRA, PEFT, and supervised fine-tuning.
• Deploy and serve custom LLMs in Azure environments using Azure Machine Learning, AKS, Container Apps, or related services.
• Optimize inference performance using quantization, batching, model parallelism, and GPU-aware serving strategies.
• Work with model formats such as Safetensors, GGUF, ONNX, and TensorRT for efficient loading, portability, and deployment.
• Build scalable APIs and services for LLM inference, streaming responses, and model orchestration.
• Implement model monitoring, logging, evaluation, prompt testing, and feedback loops.
• Collaborate with product managers and stakeholders to translate business requirements into AI capabilities.
• Explain technical trade-offs clearly to non-technical audiences, including model size, quantization, latency, cost, and accuracy.

Skills

AI feature design

RAG pipelines

Azure deployment

Job description

Cognizant is seeking an AI Developer to design, build, and productionize end-to-end AI solutions across LLMs, RAG pipelines, model fine-tuning, and cloud deployments. This role will work with product, engineering, and data teams to build scalable AI features that are reliable, performant, and secure in production environments.

The annual salary ranges from $120,000 to $135,000 depending on experience, with discretionary annual incentive eligibility.