Enterprise AI Transformation Consultant

Accenture

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, ILMilwaukee, WIDallas, TXColumbus, OHKirkland, WACincinnati, OHNew York, NYCleveland, OHOklahoma City, OKAustin, TXAlbany, NYSt. Pete, FLHartford, CTPittsburgh, PASt. Louis, MOMiami, FLSacramento, CARaleigh, NCMinneapolis, MNMountain View, CAScottsdale, AZSan Francisco, CAMorristown, NJDenver, COBoston, MAPhiladelphia, PADes Moines, IAOverland Park, KSLos Angeles, CACharlotte, NCWalnut Creek, CACarmel, CASeattle, WAHouston, TXArlington, TXAtlanta, GAOrlando, FLRedmond, WABentonville, ARBeaverton, ORNashville, TNDetroit, MISan Diego, CA
Salary
$70,350–$196,000 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $133k
$52k $243k
below market most similar roles pay here above market

This role pays less than 86% of similar roles. Most pay $148,831–$214,000 — the blue band above. At the midpoint, this role pays about $133k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 196 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 140 roles with salary data.

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At a glance

TL;DR · Enterprise AI Transformation Consultant

The Enterprise AI Transformation Consultant joins the Technology Strategy & Transformation - Digital Foundations team to build and operationalize production-grade AI solutions. As a hands-on builder, you will develop agentic systems, write production code for multi-agent coordination, and manage LLM integrations using APIs like Claude and GPT-4. You will utilize frameworks such as LangChain and LlamaIndex to build RAG pipelines and vector search systems using Qdrant, Pinecone, or Weaviate. Your daily work involves engineering with AI coding agents like GitHub Copilot, managing CI/CD pipelines, and implementing microservices with Docker and Kubernetes. You will also handle AI observability, including LLM tracing and risk assessment. This role solves complex enterprise problems by integrating AI into existing platforms like ERP and CRM systems across various industries.

What you'll do

  • Write production code for multi-agent systems, LLM integrations, RAG pipelines, and vector search.
  • Use AI coding agents like GitHub Copilot or Cursor to develop and ship production software.
  • Implement microservices, event-driven designs, and containerization using Docker and Kubernetes.
  • Contribute to solution architecture by translating high-level decisions into working technical systems.
  • Perform AI evaluation, risk assessment, and observability tasks including LLM tracing and prompt versioning.
  • Manage individual workstreams by planning tasks, meeting commitments, and communicating blockers to leads.
  • Document technical decisions, write specifications, and present work to client engineering teams.
  • Research and test new agentic AI approaches to create reusable assets and practice patterns.

What we're looking for

  • 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, 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 like Claude Code, GitHub Copilot, or Cursor in software development workflows.
  • Bachelor's degree or equivalent (minimum 12 years work experience).
  • Associate’s Degree requires a minimum of 6 years of work experience.
  • Industry experience in financial services, healthcare, retail, logistics, or public sector (preferred).
  • Cloud certification (AWS, Azure, GCP) or AI/ML certification (preferred).

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