Enterprise AI Transformation Consultant

We Are Accenture is recognized as a global leader in AI and cloud transformation, helping businesses across industries design, build, and operationalize AI at enterprise scale. Technology Strategy & Transformation (TS&T) - Digital Foundation s builds innovative AI solutions that turn strategy into production. We Advise, Design, Build and operationalize AI solutions to deliver tangible, real results - on programs that affect how entire industries operate. Our work spans agentic AI architecture, composable and event-driven platforms, AI-assisted engineering, and the operating models and business cases that make AI adoption durable. You Are A strong software engineer with genuine curiosity about AI and the drive to build production systems on real enterprise programs. Technical depth is your foundation; you want to apply it to complex enterprise problems and grow toward senior technical and advisory roles. The Work AI is reshaping what enterprises can build, how fast they can move, and where competitive advantage comes from. As a Consultant, you are a hands-on builder and technical contributor on AI transformation programs: Build agentic systems : Write production code: multi-agent systems (planning, execution, evaluation, and coordination roles), LLM integrations with LLM APIs (Claude/Anthropic, GPT-4) and prompt engineering, agentic frameworks (LangChain, LlamaIndex, or equivalent), RAG pipelines, vector search or embedding-based retrieval, MCP Server/Client, composable AI components, and the software engineering that makes them reliable at scale. Work with vector databases (Qdrant, Pinecone, ChromaDB, Weaviate) and graph databases and knowledge graphs (Neo4j, Neptune). This is the core of the role. Engineer with AI coding agents: Use AI coding agents (Claude Code, GitHub Copilot, Cursor) daily, alongside testing, version control, and CI/CD, to ship production code. Contribute to solution architecture: Work alongside Architects to translate architecture decisions into working systems. Your implementation experience directly informs architecture quality. Apply microservices, event-driven design (including streaming on Kafka, Kinesis, or EventBridge), API-led integration, and containerization and orchestration (Docker, Kubernetes). Understand how data moves between systems, basic transformation patterns, and what AI systems need from data. Know how AWS, Azure, and GCP services are used in production, and where integration and complexity live across enterprise platforms (ERP, CRM, data platforms). Test and observe AI quality: Contribute to AI evaluation (quality assurance, risk assessment, and compliance for enterprise AI deployments) and AI observability (LLM tracing, failure mode analysis, LLMOps, prompt versioning). Deliver your workstream: Manage your own tasks within a delivery workstream: plan the work, meet commitments, flag blockers early, and understand how your work fits into the wider program and what depends on it. Communicate progress and blockers clearly to senior practitioners and team leads, and take ownership without waiting to be told what to do next. Develop client-facing skills: Build technical credibility with client engineering and architecture teams through delivery. Document technical decisions, write clear specifications, break technical requirements into discrete tasks, present your work to senior practitioners, and act on feedback. Build awareness of how the client's vertical (financial services, healthcare, retail, logistics, or public sector) shapes the work. Learn and apply practice patterns: Engage with established patterns for agentic AI, document what you learn, and contribute to reusable assets. Explore developments in agentic AI, test new approaches, and bring learnings into delivery work. Travel may be required for this role. The amount of travel will vary from 20 to 50% depending on business need and client requirements. Here's what you need Minimum of 3 years of experience in software engineering or technology consulting. Minimum of 3 years of hands-on software development experience with production deployments, including testing, version control, and CI/CD. Minimum of 1 year of experience building with LLM APIs or AI/ML components in production contexts. Minimum of 1 year of experience using AI coding agents (for example Claude Code, GitHub Copilot, or Cursor) in software development workflows. Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience) Bonus Points if you Have Industry experience in at least one vertical (financial services, healthcare, retail, logistics, or public sector) AI evaluation: quality assurance, risk assessment, and compliance for enterprise AI deployments AI observability: LLM tracing, failure mode analysis, LLMOps, prompt versioning Cloud certification (AWS, Azure, GCP) or AI/ML certification (AWS ML Specialty, GCP Professional ML Engineer, Azure AI Engineer) 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 $70,350 to $196,000 Colorado $63,800 to $169,300 Connecticut $63,800 to $169,300 District of Columbia $68,000 to $180,300 Illinois $59,100 to $169,300 Maine $54,400 to $144,300 Maryland $63,800 to $169,300 Massachusetts $63,800 to $180,300 Minnesota $63,800 to $169,300 New York $66,300 to $196,000 New Jersey $68,000 to $196,000 Ohio $59,100 to $156,800 Virginia $59,100 to $180,300 Washington $80,200 to $180,300 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. Visit us at www.accenture.com 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. 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