Enterprise AI Transformation Consultant

Accenture • Chicago, IL

2d

About The Position

Accenture’s Technology Strategy & Transformation – Digital Foundations team advises, designs, builds, and operationalizes AI solutions for enterprise-scale transformation programs. The Consultant is a hands-on builder and technical contributor who applies software engineering skills to complex enterprise problems and develops toward senior technical and advisory roles. The work includes building production agentic AI systems and supporting their architecture, integration, evaluation, observability, and delivery. Travel may be required, varying from 20% to 50% based on business needs and client requirements.

Requirements

• At least 3 years of experience in software engineering or technology consulting.
• At least 3 years of hands-on software development experience with production deployments, including testing, version control, and CI/CD.
• At least 1 year of experience building with LLM APIs or AI/ML components in production contexts.
• At least 1 year of experience using AI coding agents, such as Claude Code, GitHub Copilot, or Cursor, in software development workflows.
• Bachelor’s degree or equivalent (minimum 12 years) of work experience; alternatively, an Associate’s degree with at least 6 years of work experience.

Nice To Haves

• Industry experience in financial services, healthcare, retail, logistics, or the public sector.
• Experience with AI evaluation, including quality assurance, risk assessment, and compliance for enterprise AI deployments.
• Experience with AI observability, including LLM tracing, failure mode analysis, LLMOps, and prompt versioning.
• Cloud certification (AWS, Azure, or GCP) or AI/ML certification, such as AWS ML Specialty, GCP Professional ML Engineer, or Azure AI Engineer.

Responsibilities

• Build production agentic systems, including multi-agent systems, LLM integrations, prompt engineering, agentic frameworks, RAG pipelines, vector search and embeddings, MCP servers and clients, and composable AI components.
• Use AI coding agents such as Claude Code, GitHub Copilot, and Cursor in daily software development alongside testing, version control, and CI/CD.
• Work with vector databases, graph databases, and knowledge graphs.
• Collaborate with architects to translate architecture decisions into working systems and contribute implementation experience to architecture quality.
• Apply microservices, event-driven design and streaming, API-led integration, containerization, and orchestration.
• Understand data movement and transformation between systems, AI data needs, cloud services, and integration across enterprise platforms such as ERP, CRM, and data platforms.
• Contribute to AI evaluation, including quality assurance, risk assessment, and compliance, and to AI observability, including LLM tracing, failure analysis, LLMOps, and prompt versioning.
• Manage tasks within a delivery workstream, plan work, meet commitments, identify blockers early, and understand dependencies and the wider program context.
• Communicate progress and blockers to senior practitioners and team leads, and take ownership of next steps.
• Build technical credibility with client engineering and architecture teams through delivery; document decisions, write specifications, break requirements into tasks, present work, and respond to feedback.
• Develop awareness of how client industries shape the work.
• Engage with established agentic AI patterns, document learnings, contribute reusable assets, explore new approaches, and apply findings to delivery.

Benefits

• Medical, dental, vision, life, and long-term disability coverage.
• 401(k) plan.
• Bonus opportunities.
• Paid holidays.
• Paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level