At Accenture, we believe in technology as the engine for the total reinvention of the company.
We work with the leading platforms and partners in the market to drive our clients' businesses through digitalization, AI, and data.
If you want to be part of a Great Place To Work and join a team of over 740,000 professionals worldwide, keep reading: Your primary responsibility as a GenAI Manager will be to lead the delivery of multi-disciplinary client projects, with Generative AI, Data & AI at the core.
You will have overall responsibility for the quality and timeliness of project deliveries, resource management, technical support for team members, and communication of the progress to the Senior Leadership Team.
Key Responsibilities: Conduct work sessions with our customers to identify opportunities on how they could capture business value using Generative AI and AI in their business processes.
Help align our customer's technologists and business leads to explore the art of the possible with Generative AI and AI, and to develop a roadmap to deliver business value in the most effective way.
Guide our customers on a holistic approach to Generative AI, from technology platforms to operating models and business value tracking.
Drive complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery.
Skills: As a Manager in Accenture, you have +5 years of experience in AI related technologies (Traditional and Generative AI) and: Experience leading teams and client-facing activities.
Exceptional presentation skills – ability to convey technology and business value propositions.
Act as a role model and coach for the next generation of Accenture Analysts and Consultants.
Constantly learn and bring new technologies and innovative solutions to our clients.
Demonstrate a high degree of ownership, accountability for your output, and commitment to the task.
Technical Skills: You have: Thorough knowledge and experience in Generative AI: Relevant Generative AI use cases in business processes.
GenAI Architecture and technical capabilities: Prompt engineering, model tuning strategies (RAG/embeddings, fine-tuning,...), backend (agents, orchestration, persistence...), etc.
GenAI foundational models: Hyperscalers (Azure, Google), and other Open Source models.
Knowledge and experience in other Data & AI domains is desirable: Machine Learning & Deep Learning and other data science skills (NLP, CV, GenAI, RL, AVs..).
Data architecture, Data Management, Data Governance, Operating models... Frameworks IA: Tensorflow, Pytorch, Langchain, Dialog Flow, Rasa...
Cloud Service IA: AWS, GCP, AZURE... Microservices: Docker, Kubernetes.
Languages: Python, Java, or R. Benefits: Additionally, we offer you other benefits such as: Medical, Life, and Accident Insurance.
Medical service and wellness programs.
Flexible compensation program and stock purchase.
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