15 Aug
|
Accenture
|
Bengaluru
15 Aug
Accenture
Bengaluru
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 chance 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
Prospects 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)
Solid 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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