Technology Lead – AI Solutions

Job Description

JOB DESCRIPTION:

TECHNOLOGY LEAD - DIGITAL & AI SOLUTIONS

Office: Hyderabad

Department: Digital & AI

Reports to: Director - Digital & AI Solutions

Responsibilities (how we will measure success)

• Lead the design, development, and deployment of digital and AI solutions, including but not limited to AI/ML systems, LLMs, retrievable augmented generation, Advance machine learning algorithms, natural language processing applications, computer vision systems, and predictive analytics models.

• Provide technical leadership and guidance to a team of developers, data scientists, and engineers, ensuring the successful execution of projects within scope, budget, and timeline constraints.

• Collaborate with stakeholders to understand business requirements, identify opportunities for innovation, and translate technical concepts into actionablestrategies.

• Stay abreast of emerging technologies, industry trends, and best practices in digital and AI to drive continuous improvement and maintain a competitive edge.

• Oversee the implementation of robust software development methodologies, quality assurance processes, and security standards to ensure the reliability, scalability, and security of digital and AI solutions using AI/ML in Python: Proficiency in TensorFlow, PyTorch, and Keras, leveraging LLMs, transfer learning, and AWS Bedrock for scalable AI applications.

• Foster a culture of innovation, collaboration, and knowledge sharing within the technology team, promoting professional growth and development opportunities for team members.

• Serve as a subject matter expert on digital and AI technologies, providing insights, recommendations, and thought leadership to senior management and key stakeholders.

• Continuous Improvement: Support in the development of Monitoring and evaluation tools/ procedures the performance of Digital & AI solutions conducting post-implementation reviews, and implementing lessons learned to improve future decision-making and outcomes.

• Process Improvement: Identifying opportunities to streamline technical solutions across IQ-EQ to improve efficiency and optimize resource utilization.

Compliance and Reporting: Ensuring compliance with internal policies and external regulations related to core Digital & AI product deployments and preparing reports for management and stakeholders for scheduled and ad-hoc forums.