AI Solutions Architect — Utilities & LLM Apps

Accenture; Columbus (OH); On-site; USD 90,000 - 150,000; Full time

Job summary

Accenture is seeking an AI Engineer to build and integrate AI applications using leading model providers and cloud platforms. You will implement LLM patterns, RAG, prompt orchestration, evaluation, and guardrails across APIs and pipelines.

The role emphasizes deploying AI workloads on scalable, secure cloud infrastructure with cost efficiency. You will work with Python, API integrations, vector databases, and orchestration frameworks to produce production-ready solutions, applying DevOps

Qualifications

• Minimum of 3 years of experience in software or AI/ML engineering.
• Minimum of 2 years of hands-on experience building AI applications with providers such as OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI.
• Minimum of 2 years of experience with Python and API integration.
• Minimum of 2 years of experience with RAG, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).
• Minimum of 1 year of experience with containerization (Docker/Kubernetes), CI/CD, and cloud security.
• Minimum of 1 year of experience serving utilities clients or in a utilities finance, controllership, or regulatory function.
• Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate’s Degree, must have equivalent minimum 6-year work experience.

Responsibilities

• Build AI applications — develop and integrate AI applications using leading model providers and cloud platforms.
• Implement LLM patterns — RAG, prompt orchestration, evaluation, and guardrails in APIs and pipelines.
• Deploy AI workloads on cloud infrastructure with scalability, security, cost efficiency, and reliability.
• Engineer with modern tooling — use Python, API integration, vector databases, and orchestration frameworks to build production-ready solutions.
• Apply DevOps practices — containerization, CI/CD, and cloud security best practices across the AI delivery lifecycle.

Skills

AI engineering

Python

API integration

RAG

Vector databases

LangChain

Docker

Kubernetes

Cloud security

utilities experience

Education

Bachelor's degree or equivalent

Tools

OpenAI

Anthropic

AWS Bedrock

Azure OpenAI

Google Vertex AI

Job description

Accenture is seeking an AI Engineer to build and integrate AI applications using leading model providers and cloud platforms. You will implement LLM patterns, RAG, prompt orchestration, evaluation, and guardrails across APIs and pipelines.

The role emphasizes deploying AI workloads on scalable, secure cloud infrastructure with cost efficiency. You will work with Python, API integrations, vector databases, and orchestration frameworks to produce production-ready solutions, applying DevOps