Principal Software Engineer, ITC

Leads the architectural vision, technical design, and implementation of complex, large-scale data and AI platforms, with a focus on generative AI and agentic systems. It sits within the Tech Centre in India and involves extensive collaboration with global product, business, and engineering teams. The position combines hands-on technical leadership with mentoring senior engineers and shaping technology roadmaps.

• Lead the architectural vision, technical design, and implementation of complex, large-scale data and AI platforms, ensuring they are robust, secure, and highly performant.
• Champion best practices in software development, agentic AI systems, and cloud-based machine learning infrastructure, setting high standards for code quality, reliability, and maintainability across multiple engineering teams.
• Mentor and coach senior engineers, fostering a culture of technical excellence, intellectual curiosity, and continuous growth, and provide thought leadership that enables teams to solve challenging engineering problems.
• Collaborate extensively with global product and business stakeholders to translate strategic goals into actionable technology roadmaps, align engineering efforts with business priorities, and deliver value to customers and partners.
• Drive the adoption of modern engineering methodologies, including automation, continuous integration and delivery, MLOps and DevOps practices, test-driven development, and agile frameworks, to accelerate innovation and delivery.
• Evaluate, recommend, and integrate emerging technologies, frameworks, and tools to strengthen the technology ecosystem and maintain its position as an industry leader.
• Oversee the end-to-end lifecycle of critical projects, from requirements gathering and solution design through implementation, monitoring, and optimisation.
• Ensure all platforms and services meet stringent security, privacy, and compliance standards by proactively identifying and mitigating risks.
• Represent the Tech Centre in India as a senior technical ambassador, collaborating with global teams, sharing expertise, and contributing to the worldwide engineering community.

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Machine Learning, AI systems, or a related field.
• 12+ years of progressive experience in software engineering, including at least five years in a senior leadership or principal engineer capacity.
• Extensive expertise in building, deploying, and scaling sophisticated AI platforms, distributed systems, and cloud-native AI architectures using one or more of AWS SageMaker, Databricks, Azure Machine Learning, or Google Vertex AI.
• Advanced proficiency in one or more programming languages, including Python, Java, Scala, or Go.
• A proven track record of deploying large-scale machine learning models in production environments.
• Experience with modern machine learning stacks, including LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools.
• Strong experience with modern DevOps methodologies, automation, CI/CD pipelines, and infrastructure as code.
• Expertise in Kubernetes, Docker, and container technologies.
• Strong familiarity with agentic workflows and experience developing AI/LLM-powered enterprise applications.
• Exceptional communication, leadership, and stakeholder management skills, with the ability to influence and inspire at all levels of the organisation.
• Experience driving and managing complex, high-impact technology projects in a fast-paced, agile environment.
• Deep understanding of security and compliance best practices in large-scale enterprise environments.
• Demonstrated commitment to fostering diversity and inclusion within engineering teams.

• Master's degree in Artificial Intelligence, Machine Learning, or Generative AI is highly desirable.

• Tech Centre in India.
• Global collaboration with product, business, and engineering teams.