Enterprise AI Transformation Consultant. Detroit Move Collective

We Are

Accenture stands as a prominent leader in AI and cloud transformation, assisting businesses across various industries in migrating, managing, and optimizing their cloud environments. Through strategic partnerships with top cloud providers like Nvidia, AWS, Microsoft Azure, and Google Cloud, Accenture delivers comprehensive services that enhance innovation and business agility.

The Cloud Advisory Practice is dedicated to helping organizations articulate, strategize, and execute innovative AI and cloud initiatives that generate substantial business value. With deep expertise spanning cloud platforms and technologies, this practice collaborates closely with clients to create scalable, secure, and resilient cloud environments. It provides insights in critical areas including agentic AI infrastructure and hosting, modern cloud foundations, security and resiliency, full‑stack Fin Ops, and cloud‑native development methods, ensuring clients achieve agility, operational efficiency, and sustained growth.

By aligning AI and cloud efforts with overarching business goals, the practice empowers organizations to unlock the immense potential of cloud innovation while navigating industry‑specific challenges and regulations.

An innovative Cloud Architect passionate about resolving some of the most complex challenges in enterprise AI transformation—designing effective multi‑agent systems, creating composable architectures that integrate AI with traditional distributed systems, and redefining conventional industries.

In this role, you'll have the opportunity to significantly influence how industries operate by utilizing AI technology, domain expertise, and entrepreneurial insights to fundamentally redesign core business processes in sectors such as financial services, healthcare, procurement, retail, and logistics. Collaborating with clients, you will develop superior products and experiences at an enterprise level.

• Utilizing agentic architectures, multi‑agent orchestration patterns, and composable AI systems alongside established distributed patterns (Event Sourcing, Event‑Driven Architecture, Microservices, Domain‑Driven Design, CQRS) and technologies (Claude API, Neo4j, Qdrant, Postgre
  
  SQL, event streaming platforms, vector databases, cloud platforms) to create AI‑native solutions for enterprise needs.
• Engaging in what we term AI Transformation Decoupling: designing and constructing cutting‑edge agentic systems that wrap legacy cores, establish real‑time feedback loops, introduce new AI‑native functionalities, and systematically transition existing frameworks into composable event‑driven architectures that enable human‑AI collaborations at scale.
• Before any changes, employing AI agents to thoroughly analyze existing systems—mapping dependencies, scrutinizing git history, uncovering hidden couplings, and identifying knowledge concentration—transforming what typically takes months of manual scrutiny into days of valuable insights. This ensures that transformations are data‑driven rather than assumptive and that changes do not disrupt production due to prior constraint recognition.
• Our team takes pride in being hands‑on, deeply technical, and esteemed thought leaders in AI transformation.

Travel may be an aspect of this role, varying from 0% to 100% based on business needs and client requirements.

• At least 2 years of hands‑on experience in creating innovative applications or contributing to significant open‑source projects.
• A minimum of 2 years of experience conveying complex AI concepts to non‑technical audiences.
• At least 2 years of experience designing software systems incorporating AI components, understanding appropriate usage, designing around limitations, and implementing fallback mechanisms.
• A minimum of 4 years of experience working within agile teams.
• At least 2 years of understanding AI system observability and debugging.
• A Bachelor’s degree or equivalent (minimum of 12 years of relevant work experience; if holding an Associate’s Degree, a minimum of 6 years work experience is required).

• Experience utilizing LLM APIs (Claude, GPT‑4, etc.) and…