Role Overview :

We are seeking a visionary AI leader to spearhead our next generation of intelligent systems. In this strategic capacity, you will architect complex AI ecosystems, driving the transition from traditional machine learning models to sophisticated Agentic AI frameworks.

You will collaborate closely with C-suite stakeholders, product heads, and cross-functional engineering teams to translate high-level business objectives into scalable, high-impact technical roadmaps. Your work will directly influence our global product strategy, ensuring our platforms remain at the cutting edge of innovation while delivering measurable value to our enterprise clients and end-users.

Key Responsibilities :

- Architect and deploy end-to-end Generative AI solutions that automate complex workflows, significantly reducing operational overhead for our global client base.

- Lead the design and implementation of autonomous Agentic AI systems, enabling our platforms to make data-driven decisions with minimal human intervention.

- Mentor high-performing engineering teams, fostering a culture of technical excellence and rapid experimentation to maintain our competitive advantage in the AI space.

- Partner with business leaders to identify high-value use cases for machine learning, ensuring that every technical initiative aligns with long-term revenue growth and market expansion goals.

- Establish robust governance and ethical frameworks for AI deployment, ensuring that our systems are secure, transparent, and compliant with international standards.

Required Skillset :

- Demonstrated mastery in architecting large-scale Artificial Intelligence and Machine Learning systems, with a proven track record of delivering enterprise-grade products.

- Expert-level proficiency in Python, with the ability to write clean, maintainable, and highly efficient code for complex algorithmic challenges.

- Deep technical fluency in Generative AI and Agentic AI frameworks, including the ability to integrate Large Language Models into existing production environments.

- Exceptional stakeholder management and communication skills, capable of articulating complex technical concepts to non-technical executive boards and investors.

- A strong academic foundation, typically represented by a degree from a top-tier institution, coupled with the intellectual curiosity to stay ahead of the rapidly evolving AI landscape.

- Proven ability to lead distributed teams across Chennai, Hyderabad, and Bangalore, maintaining high productivity and collaboration in a hybrid work environment.