Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Summary: As an AI / ML Engineer, a typical day involves designing and developing advanced applications and systems that leverage artificial intelligence technologies. The role includes integrating cloud-based AI services and ensuring that solutions are production-ready, whether deployed on cloud platforms or on-premises. The engineer works on implementing generative AI models and may engage in projects involving deep learning, neural networks, chatbots, and image processing. Collaboration with various teams and continuous problem-solving are integral parts of the daily workflow to deliver innovative AI-driven solutions. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentorship within the team to enhance overall expertise. - Coordinate cross-functional efforts to align AI solutions with organizational goals. - Monitor project progress and ensure timely delivery of AI components. - Promote best practices in AI development and deployment to maintain high-quality standards. Professional & Technical Skills: - Required Skill: Expert proficiency in AI Architecture. - Strong understanding of AI model development and deployment pipelines. - Experience with cloud AI services and integration of generative AI models. - Familiarity with deep learning frameworks and neural network architectures. - Proficient in designing scalable AI solutions for both cloud and on-premises environments. - Ability to optimize AI applications for performance and reliability. Additional Information: - The candidate should have minimum 3 years of experience in AI Architecture. - This position is based at our Manila office. Minimum 3 year(s) of experience is required

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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AI Solutions Architect