You are:A highly skilled Advanced AI Applications Consultant to drive the integration of Artificial Intelligence across the enterprise digital core. The ideal candidate will possess expertise spanning classical AI/ML, Generative AI, Agentic AI, and enterprise-scale AI platforms, with strong hands-on experience across the Anthropic Claude and OpenAI ecosystems.
This role requires a unique blend of strategic consulting, solution architecture, and technical implementation capabilities to design, build, and scale intelligent business applications leveraging modern AI technologies across cloud platforms including Azure, AWS, and Google Cloud.
The consultant will help clients transform core business processes by embedding AI into enterprise applications, data platforms, business workflows, and decision-making systems while ensuring scalability, governance, security, and measurable business outcomes.
The Work:Advanced AI Applications & Solution Design
- Design and implement enterprise AI solutions leveraging both classical machine learning and advanced AI architectures.
- Build AI-powered applications for, Customer Service, and enterprise functions like Supply Chain, Finance, Procurement, HR, Operations, IT Service Management, Enterprise Knowledge Management
- Develop Retrieval-Augmented Generation (RAG) and Agentic AI solutions integrated with enterprise systems.
- Design intelligent workflows using AI agents capable of reasoning, planning, and executing business tasks.
- Establish reusable AI accelerators following "Build Once, Scale Many Times" principles.
Agentic AI & Autonomous Systems
- Design and implement Agentic AI architectures capable of, Goal-based reasoning, Planning and orchestration, Tool utilization, Workflow automation, Multi-agent collaboration
- Build AI agents integrated with enterprise systems, APIs, and business applications.
- Implement autonomous business workflows using AI orchestration frameworks.
- Establish agent governance, observability, and human-in-the-loop controls.
Technical Responsibilities:
Classical AI / Machine Learning
- Develop and deploy machine learning solutions including, Predictive Analytics, Classification Models, Forecasting Models, Recommendation Engines, Optimization Models, NLP Applications
- Perform feature engineering, model tuning, evaluation, and deployment.
- Implement end-to-end ML lifecycle management.
Generative AI
- Design and implement, RAG Architectures, Enterprise Chatbots, AI Copilots, Knowledge Assistants, Document Intelligence Solutions, Content Generation Platforms
- Optimize prompt engineering and context management strategies.
- Develop AI evaluation and benchmarking frameworks.
Agentic AI
- Build autonomous AI agents capable of, Tool Calling. Workflow Orchestration, Multi-step Reasoning, Dynamic Decision Making, Enterprise System Integration
- Design multi-agent collaboration frameworks and intelligent task delegation architectures.
Knowledge & Semantic Architectures
- Design enterprise knowledge systems using, Vector Databases, Knowledge Graphs, Semantic Search, Embedding Models, Context Management Frameworks
- Build enterprise memory architectures supporting long-term AI interactions.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Here's what you need:- Minimum of 8 years of experience in AI, Machine Learning, Data Science, AI Engineering, or AI Consulting with proven experience delivering enterprise AI transformation initiatives.
- Minimum of 5 years of hands-on experience with Anthropic Claude Models, OpenAI GPT Models, Large Language Models (LLMs), Foundation Models, Agentic AI Frameworks, Multi-Agent Architectures, Retrieval-Augmented Generation (RAG),LLM Evaluation Frameworks with deep understanding of prompt engineering, context engineering, and AI reasoning strategies.
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience
Professional Skills Requirements:- Experience building production-grade AI applications and intelligent automation solutions.
- Strong consulting and stakeholder management capabilities.
- Strong programming experience in:Python, SQL, APIs and Integration Frameworks
- Experience with: Vector Databases, Embedding Models, Semantic Search Platforms, Data Engineering Pipelines, Cloud-Native Architectures
- Knowledge of AI orchestration and workflow frameworks.
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 11/30/2026.
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 Range
California $132,500 to $338,300
Colorado $132,500 to $292,200
Connecticut $132,500 to $292,200
District of Columbia $141,100 to $311,200
Illinois $122,700 to $292,200
Maine $112,900 to $249,000
Maryland $132,500 to $292,200
Massachusetts $132,500 to $311,200
Minnesota $132,500 to $292,200
New York $122,700 to $338,300
New Jersey $141,100 to $338,300
Ohio $122,700 to $270,600
Virginia $122,700 to $311,200
