You Are:You are an AI Engineer who builds and integrates AI applications using leading model providers and cloud platforms. You develop LLM-powered applications, APIs, and pipelines - implementing RAG, prompt orchestration, evaluation, and guardrails - and you deploy and operationalize AI workloads on cloud infrastructure with scalability, security, cost efficiency, and reliability in mind.
The Work:- 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 (e.g., 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.
Travel may be required for this role, varying from 0 to 80% depending on business need and client requirements.
Here's What You Need:- 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 (electric, gas, or water) 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
Bonus Points If:- You have a Master's degree in a relevant field
- You have Cloud or AI engineering certifications (AWS, Azure, or Google)
- You have experience with agentic AI patterns and multi-agent orchestration
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 08/25/2026.Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.
See more information on our benefits here: U.S. Employee Benefits | Accenture
Role Location Annual Salary RangeCalifornia $70,350 to $205,800
Cleveland $59,100 to $164,600
Colorado $63,800 to $177,800
District of Columbia $68,000 to $189,300
Illinois $59,100 to $177,800
Maine $54,400 to $151,400
Maryland $63,800 to $177,800
Massachusetts $63,800 to $189,300
Minnesota $63,800 to $177,800
New York $66,300 to $205,800
New Jersey $68,000 to $205,800
Virginia $59,100 to $189,300
Washington $80,200 to $189,300
