Accenture - Software & Platform Engineer - AI Projects (8-14 yrs)

Job Description :

As a Data Science Manager at Accenture, you will play a critical role in driving the development and implementation of artificial intelligence (AI) solutions focused on Generative AI and LLM for our Software & Platform clients.

Key Responsibilities :

Strategy and Planning :

- Collaborate with clients to understand their business objectives and identify AI opportunities.

- Develop AI strategies and roadmaps that align with client goals and Accenture's capabilities.

- Conduct market research and stay updated on the latest

Project Management :

- Lead and manage cross-functional teams for multiple projects throughout the project lifecycle.

- Define project scope, deliverables, timelines, and resource allocation.

- Ensure project milestones are achieved within budget and meet quality standards.

RFP Development and Management :

- Lead the development of compelling responses to Requests for Proposals (RFPs) that align AI solutions with client needs.

- Collaborate with cross-functional teams to gather necessary information, ensuring all technical and business aspects are addressed.

- Review and refine proposals, ensuring clarity, accuracy, and alignment with client expectations and Accenture's strategic goals.

- Engage with clients during the RFP process to clarify requirements, gather feedback, and strengthen relationships.

- Review and refine proposals, ensuring clarity, accuracy, and alignment with client expectations and Accenture's strategic goals.

- Engage with clients during the RFP process to clarify requirements, gather feedback, and strengthen relationships.

- Monitor RFP timelines and deliverables

Requirements :

- Bachelor's or Master's degree in computer science, engineering, data science, or a related quantitative field.

- Experience working for large Software or Platform organizations.

- Proven experience (8+ years) in managing AI projects and delivering successful outcomes.

- Hands-On exposure to Generative AI frameworks and implementations

- Strong knowledge of AI technologies, including machine learning, natural language processing, computer vision, etc.

- Familiarity with popular AI frameworks and tools (e.g., TensorFlow, PyTorch,)