AI Native Transformation Enterprise Consultant

Here's what you need

• Minimum of 2 years of hands-on experience building interesting and innovative applications, or equivalent open-source contribution (several projects as ongoing contributor). 

• Minimum of 2 years of experience explaining complex AI concepts to a non-technical audience. If you can explain what RAG, semantic search, or multi-agent orchestration are to a layperson, you've got this. 

• Minimum of 2 years of experience designing software systems that incorporate AI components—understanding when AI is appropriate, designing around its limitations, and creating fallback mechanisms. 

• Minimum of 4 years of experience working in an agile team. 

• Minimum of 2 years of experience and understanding of AI system observability and debugging (LLM tracing, analyzing failure modes) 

• 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

• Experience building with LLM APIs (Claude, GPT-4, etc.) and understanding prompt engineering patterns

• Experience designing multi-agent systems with distinct roles (planning, execution, evaluation, coordination)

• Experience designing and building MCP Server and Client including standard connection, tools and data exposure as well as specific tools

• Experience with agentic frameworks (LangChain, LlamaIndex, or custom orchestration patterns)

• Experience analyzing and transforming existing systems—understanding legacy architectures through systematic dependency analysis, git history mining, and architectural discovery before modification (brownfield work is most of enterprise AI)

• Hands-on experience with vector databases and RAG architectures (Qdrant, Pinecone, ChromaDB, Weaviate)

• Understanding of graph databases and knowledge graphs (Neo4j, Neptune) for semantic relationships and ontology modeling

• Hands-on experience with cloud platforms (AWS, Azure, or GCP)—specifically choosing and configuring components for AI-native architectures

• Experience with event-driven architectures and streaming technologies (Kafka, Kinesis, EventBridge, event streaming platforms) for real-time AI feedback loops

• Experience with microservices architectures and composable system design

• Experience with containerization and orchestration (Docker, Kubernetes, ECS)

• Understanding of observability and monitoring for AI systems (LLM tracing, token usage, latency, cost tracking)

• Experience with production AI operations—LLMOps, prompt versioning, model lifecycle management, or managing AI systems at scale

• Experience with real-time communication protocols (WebSockets, Server-Sent Events, HTTP/2) for human-AI interaction patterns

• Experience with distributed transactional data stores and their consistency models

• Functional programming experience, particularly patterns relevant to AI systems (immutability, pure functions, composition)

• Understanding of information retrieval, semantic search, or embedding-based similarity

• Prior experience in traditional ML/data science (helpful but not required—we're often doing something quite different)

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 06/30/2026.

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
Cleveland $59,100 to $156,800
Colorado $63,800 to $169,300
District of Columbia $68,000 to $180,300
Illinois $59,100 to $169,300
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
Washington $80,200 to $180,300

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平等就业机会声明

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