About the role
Accenture | Industry and Enterprise Software and Platforms
Job Title - GenAI + Analyst SC GN/Software Platforms
Management Level : 11 Analyst
Location: Bangalore/ Gurgaon / Hyderabad/Mumbai/Pune
Job Summary:
We are seeking a Analyst to join our rapidly growing AI/GenAI capabilities within the Software Platform industry group. The ideal candidate will be passionate about driving business transformation through artificial intelligence, with a strong foundation in Generative AI technologies and a strategic consulting mindset. In this role, you will lead high-impact engagements, shape AI strategies for clients, and contribute to the team. This is a unique opportunity to influence AI adoption across global tech enterprises and help build future-ready capabilities.
Roles Responsibilities:
- Define business cases, transformation roadmaps, and target operating models
- Advise CXOs and senior executives on leveraging AI for innovation and efficiency
- Architect scalable GenAI solutions and oversee their development and integration
- Stay ahead of AI/GenAI trends and translate them into actionable consulting offerings
- Collaborate with cross-functional teams including data scientists, engineers, and industry experts
Additional Information:
- This role offers exposure to cutting-edge AI/GenAI projects with global Fortune 500 technology clients
- Travel may be required based on client engagements
- Hybrid work model with flexibility based on project needs
- Opportunities to shape the firms AI service offerings and thought leadership initiatives
Qualification
Must have skills:
- 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
Good to have skills:
- 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)
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