Role Overview:

As a Technical Architect specializing in AI, you will serve as the strategic bridge between complex business challenges and cutting-edge machine learning solutions. You will lead the design and implementation of scalable AI architectures, working closely with cross-functional engineering teams, data scientists, and executive stakeholders to translate high-level business goals into robust technical roadmaps. Your work will directly influence the organization's competitive edge, ensuring that our AI ecosystem is not only performant and secure but also capable of delivering measurable value to our global customer base. Based in our Chennai office, you will act as a technical authority, mentoring senior engineering talent and driving the adoption of best practices in AI lifecycle management and system integration.

Key Responsibilities:

- Architect end-to-end AI and Machine Learning pipelines that integrate seamlessly with existing enterprise infrastructure to drive operational efficiency.

- Lead the technical evaluation and selection of AI frameworks, cloud services, and data processing tools to ensure high availability and cost-optimized performance for stakeholders.

- Collaborate with product and business leadership to define the long-term AI strategy, ensuring that technical investments directly support revenue growth and user engagement goals.

- Establish rigorous governance, security, and ethical AI standards across all development cycles to protect customer data and maintain compliance with industry regulations.

- Mentor high-performing engineering teams by fostering a culture of technical excellence, continuous learning, and innovation in AI engineering practices.

Required Skillset:

- Demonstrated expertise in designing and deploying large-scale AI architectures, including LLMs, generative AI models, and predictive analytics, within complex distributed systems.

- Proven ability to communicate intricate technical concepts to non-technical stakeholders, ensuring alignment between engineering output and business objectives.

- Strong leadership capabilities with a track record of managing high-impact technical teams and navigating cross-departmental dependencies in a fast-paced environment.

- Advanced proficiency in cloud-native AI platforms and MLOps practices, with a focus on building resilient, scalable, and maintainable production-grade systems.

- A Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, complemented by a minimum of 14 to 18 years of progressive experience in software architecture and AI development.

- Exceptional adaptability to a hybrid work environment in Chennai, maintaining high levels of collaboration and productivity across distributed global teams.