AI / ML Engineer

Intro: Senior AI / Machine Learning Engineer role responsible for designing and delivering production-quality AI applications and systems. The role focuses on integrating AI models (including generative AI) with cloud and on‑premises application pipelines, applying deep learning and related techniques, and guiding technical decisions across teams. Key responsibilities: - Serve as a subject matter expert and technical lead, influencing and advising multiple teams and providing solutions applicable across projects. - Design and build scalable AI and machine learning system architectures and production-ready application pipelines (cloud and on-prem). - Integrate generative AI models and other AI technologies (deep learning, neural networks, chatbots, image processing) as part of solutions. - Lead evaluation and adoption of emerging AI technologies to improve project outcomes. - Make and own team-level technical decisions and mentor junior members to foster skill development and knowledge sharing. Required qualifications and experience: - Minimum 15 years of overall experience (explicit in posting). - Minimum 6 years of experience in Automation Architecture. - 15 years full-time education required. - Proven proficiency in Automation Architecture and strong expertise in designing scalable AI/ML architectures. - Experience with cloud-based AI services, deployment pipelines, and integrating AI solutions with on-premises infrastructure. - Familiarity with generative AI models, deep learning frameworks, and neural network design. Preferred / additional notes: - Role is based at Accenture CDC2A - SEZ location in Chennai (on-site). - The posting emphasizes leadership, advisory capabilities, and mentoring as core expectations. Tools & techniques referenced: generative AI models, cloud AI services, deep learning frameworks, neural networks, chatbots, image processing, and automation architecture. No compensation details provided.