AI Systems Engineer - LLM & Cloud Architect

Accenture; Kirkland (WA); On-site; USD 80,200 - 189,300; Full time

Job summary

Accenture is hiring an AI Engineer to build and deploy AI applications using leading model providers and cloud platforms. You will develop LLM-powered apps, APIs, and data pipelines with RAG, prompt orchestration, evaluation, and guardrails, ensuring scalable, secure, and cost-efficient AI workloads.

You will work with Python, vector databases, LangChain, and orchestration frameworks; apply DevOps practices with Docker/Kubernetes, CI/CD, and cloud security, traveling up to 80% as needed.

Qualifications

• Minimum 3 years of software or AI/ML engineering experience.
• Minimum 2 years building AI applications with providers such as OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI.
• Minimum 2 years of Python and API integration experience.
• Minimum 2 years of experience with RAG, vector databases, and orchestration frameworks (LangChain, LlamaIndex).
• Minimum 1 year of containerization (Docker/Kubernetes), CI/CD, and cloud security.
• Minimum 1 year of experience serving utilities clients or in a utilities finance/regulatory function.

Responsibilities

• Build AI applications — develop and integrate AI applications using leading model providers (OpenAI, Anthropic) and cloud platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI).
• Implement LLM patterns — implement RAG, prompt orchestration, evaluation, and guardrails in LLM-powered applications, APIs, and pipelines.
• Deploy AI workloads — deploy and operationalize AI workloads on cloud infrastructure with scalability, security, cost efficiency, and reliability in mind.
• Engineer with modern tooling — use Python, API integration, vector databases, and orchestration frameworks (LangChain, LlamaIndex) to build production-ready solutions.
• Apply DevOps practices — apply containerization (Docker/Kubernetes), CI/CD, and cloud security best practices across the AI delivery lifecycle.

Skills

Python

API integration

RAG

LangChain

Vector databases

LLM patterns

Cloud security

Education

Bachelor’s degree or equivalent

Tools

Docker

Kubernetes

AWS Bedrock

Azure OpenAI

Google Vertex AI

LlamaIndex

Job description

Accenture is hiring an AI Engineer to build and deploy AI applications using leading model providers and cloud platforms. You will develop LLM-powered apps, APIs, and data pipelines with RAG, prompt orchestration, evaluation, and guardrails, ensuring scalable, secure, and cost-efficient AI workloads.

You will work with Python, vector databases, LangChain, and orchestration frameworks; apply DevOps practices with Docker/Kubernetes, CI/CD, and cloud security, traveling up to 80% as needed.