AI Solutions Engineer: LLM Apps & Cloud Deployment

Accenture; St. Louis (MO); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI Engineer to build and integrate AI applications using leading providers and cloud platforms. You will develop LLM-powered applications, APIs and pipelines, applying RAG, prompt orchestration, evaluation and guardrails, while deploying AI workloads on scalable, secure cloud infrastructure.

You will use Python, vector databases, and orchestration tools to deliver production-ready solutions, with emphasis on security, cost efficiency, and reliability.

Qualifications

• 3+ years in software or AI/ML engineering.
• 2+ years building AI apps with providers like OpenAI, Anthropic, or cloud platforms.
• 2+ years Python and API integration experience.
• 2+ years RAG, vector DBs, orchestration frameworks (LangChain, LlamaIndex).
• 1+ year containerization (Docker/Kubernetes), CI/CD, cloud security.
• 1+ year serving utilities clients or in utilities finance/regulatory.

Responsibilities

• Build AI applications using leading model providers and cloud platforms.
• Implement LLM patterns: RAG, prompt orchestration, evaluation, guardrails.
• Deploy AI workloads on cloud infrastructure with security and cost discipline.
• Engineer with Python, APIs, vector DBs, orchestration frameworks for production.
• Apply DevOps: containerization, CI/CD, and cloud security across the lifecycle.

Skills

Python

API integration

RAG

Vector databases

LangChain

LlamaIndex

Docker

Kubernetes

CI/CD

Cloud security

Education

Bachelor's degree or equivalent

Tools

Docker

Kubernetes

LangChain

LlamaIndex

APIs

Job description

Accenture is seeking an AI Engineer to build and integrate AI applications using leading providers and cloud platforms. You will develop LLM-powered applications, APIs and pipelines, applying RAG, prompt orchestration, evaluation and guardrails, while deploying AI workloads on scalable, secure cloud infrastructure.

You will use Python, vector databases, and orchestration tools to deliver production-ready solutions, with emphasis on security, cost efficiency, and reliability.