Quick Summary
Define business cases, transformation roadmaps,
Responsibilities
~1 min read- →Proven expertise in Data & AI strategy, architecture, and implementation
- →Hands-on experience with Generative AI technologies (e.g., GPT, LLMs, diffusion models)
- →Strong business acumen with the ability to translate AI solutions into tangible business value
- →Track record of managing complex client engagements end-to-end
- →Proficiency in cloud platforms (AWS, Azure, or GCP) with focus on AI/ML services
- →Deep knowledge of data governance, ethics, and responsible AI practices
- Experience in AI product development or building proprietary AI assets/IP
- Familiarity with MLOps and scalable deployment of AI models
- Prior experience in technology consulting or advisory roles
- Understanding of industry-specific AI use cases in software, hardware, or platforms
- Certifications in cloud or AI/ML technologies (e.g., AWS Certified Machine Learning, Microsoft Azure AI Engineer)
Visit us at www.accenture.com
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Location & Eligibility
Listing Details
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 27, 2026
Signal breakdown
Similar Ai Consultant jobs
View all →Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.