Advanced AI Applications Senior Manager

1000 Accenture LLP Company; Chicago (IL); On-site; USD 123,000 - 292,000; Full time

Job summary

Accenture seeks a highly skilled Advanced AI Applications Consultant to drive enterprise AI across cloud platforms (Azure, AWS, Google Cloud) with hands-on Claude and OpenAI experience.

You will design, build, and scale AI solutions spanning Classical ML, Generative AI, and Agentic AI, delivering governance, security, and measurable business outcomes for Customer Service, Supply Chain, Finance, HR and IT services.

Qualifications

• 8+ years in AI, ML, Data Science, AI Engineering or AI Consulting delivering enterprise AI transformations.
• 5+ years hands-on with Anthropic Claude, OpenAI GPT models, LLMs, Agentic AI frameworks, multi-agent architectures, RAG, prompt/context engineering.

Responsibilities

• Design and implement enterprise AI solutions with classical ML and advanced AI architectures.
• Develop AI-powered applications across customer service, supply chain, finance, procurement, HR, operations, IT service management, enterprise knowledge management.
• Build retrieval-augmented generation (RAG) and agentic AI solutions integrated with enterprise systems.
• Design intelligent workflows using AI agents with reasoning, planning, and execution capabilities.

Skills

AI Architecting

Python

SQL

APIs

Integration Frameworks

Vector Databases

Embedding Models

Semantic Search

Cloud-Native Architectures

AI Orchestration

Education

Bachelor's degree or equivalent

Tools

Anthropic Claude

OpenAI GPT Models

LLMs

Job description

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work. With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

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 and Benefits

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.

Annual Salary Range by Location

• 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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.

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