AI Native Transformation Manager

Accenture

Quick summary

Work type
On-site
Location
Chicago, IL · Milwaukee, WI · Dallas, TX · Columbus, OH · Kirkland, WA
Salary
$94,400–$266,300 / yr
Posted
34 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k
This role $180k
$74k most similar roles pay here $287k

This role pays less than 64% of similar roles. Most pay $162,000–$244,287 — the shaded band above. At the midpoint, this role pays about $180k versus about $203k 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 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 89 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · AI Native Transformation Manager

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Join Accenture’s Cloud Advisory Practice as a Senior Cloud Architect specializing in AI transformation. You will lead teams in designing scalable, secure cloud environments for enterprise clients across industries like finance, healthcare, and logistics, leveraging agentic architectures, multi-agent systems, and composable AI solutions. Key responsibilities include building state-of-the-art agentic systems to integrate with legacy cores, using technologies such as Claude API, Neo4j, Qdrant, PostgreSQL, and cloud platforms like AWS, Azure, or GCP. You must have at least 3 years of hands-on experience in AI/LLM systems, expertise in explaining complex concepts to executives, and a background in DevOps for AI workloads. Bonus points for experience with vector databases, graph databases, event-driven architectures, and microservices design.

Skills

AWS Azure GCP PostgreSQL Neo4j Qdrant Claude API Event Sourcing CQRS Microservices Domain-Driven Design Kafka Kinesis Docker Kubernetes CI/CD LLMOps WebSockets Functional Programming Observability

What you'll do

  • Design multi-agent systems that integrate AI with traditional distributed systems.
  • Build composable architectures using event-driven patterns for enterprise scalability.
  • Transform legacy systems into modern cloud-native solutions through systematic analysis.
  • Lead agile teams in managing unique challenges of AI development and deployment.
  • Explain complex AI concepts to executive audiences, translating technical value to business goals.
  • Design engineering systems and DevOps practices for efficient AI workload management.

What we're looking for

  • At least 3 years of hands-on experience building innovative applications.
  • Minimum 1 year of experience working with AI/LLM systems in production contexts.
  • Proven ability to explain complex AI concepts to executive audiences.
  • Experience designing and building software systems for AI-native architectures.
  • At least 5 years leading agile teams managing unique challenges of AI development.

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