Agentic AI Lead

Company Description Acuvate is a global digital and IT services organization that helps enterprises accelerate next-generation transformation journeys with an AI-first approach. With nearly two decades of experience, the company delivers end-to-end smart and sustainable digital transformation solutions powered by proprietary AI accelerators and strong domain expertise. Acuvate operates across three continents and seven countries, serving over 200 global enterprises, including multiple Fortune 500 organizations. As a leading Microsoft partner, Acuvate is recognized for innovation in Data, AI, Cloud, and Digital Experiences, enabling intelligent automation and data-driven decision-making. The company focuses on turning advanced technologies into tangible business value, emphasizing measurable outcomes, collaboration, and high-quality delivery.

Role Description The Agentic AI Lead will drive the design, development, and deployment of agentic AI solutions that support enterprise-scale digital transformation initiatives. This full-time, on-site role based in Hyderabad involves leading cross-functional teams to define AI use cases, architect solutions, and oversee implementation across data, cloud, and application ecosystems. The role includes collaborating with stakeholders to understand business needs, translating them into technical requirements, and ensuring that AI agents integrate securely and reliably with existing systems. The Agentic AI Lead will guide experimentation and prototyping, establish best practices and governance for AI usage, and monitor solution performance to refine models and workflows. Daily responsibilities also include mentoring team members, contributing to technical documentation, and supporting pre-sales and client presentations as needed.

Qualifications

• Strong expertise in AI and machine learning, including experience designing and implementing agentic AI systems and autonomous workflows.
• Proficiency in modern cloud platforms (e.g., Microsoft Azure), data engineering, and integration of AI solutions with enterprise applications.
• Experience leading technical teams, managing end-to-end solution delivery, and collaborating with cross-functional stakeholders.
• Solid understanding of software engineering principles, APIs, microservices, and MLOps or AIOps practices.
• Knowledge of responsible AI, data privacy, security, and governance frameworks for enterprise environments.
• Excellent problem-solving, communication, and stakeholder management skills, with the ability to translate complex concepts into clear business value.
• Relevant bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related field; industry certifications in AI or cloud platforms are an advantage.
• Prior experience in consulting or working with global enterprises on AI-led digital transformation is highly beneficial.