Senior Manager - AI & Cloud Engineering

Wipro Enterprises; Bengaluru; On-site; INR 4,200,000 - 6,400,000; Full time

Job summary

GE Healthcare is seeking a Senior Engineering Manager to lead software engineers across AI, data, and cloud initiatives. You will oversee the full software lifecycle, drive AWS infrastructure design, and integrate LLMs for advanced AI capabilities. Collaboration with product managers and data scientists will be critical to define requirements and deliverables.

The role emphasizes leadership, agile execution, and ongoing innovation in a global healthcare technology context.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related field.
• Proven experience as a software engineering manager or in a similar leadership role.
• Strong technical background with AI Engineering, Data Engineering, AWS, Docker, Kubernetes, Python.
• Experience with large language models (LLMs) and their integration into AI systems.
• Excellent leadership and communication skills.
• Experience with Agile methodologies and project management tools.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• Strong problem-solving skills and attention to detail.
• Knowledge of industry best practices and emerging technologies.

Responsibilities

• Lead and mentor a team of software engineers, fostering a collaborative and innovative environment.
• Oversee the entire software development lifecycle from planning to deployment.
• Design, implement, and optimize AWS infrastructure to support scalable and reliable applications.
• Develop and maintain data pipelines and ETL processes for large data volumes.
• Integrate LLMs for various use cases ensuring performance and accuracy.
• Collaborate with product managers, data scientists, and stakeholders to define requirements.
• Conduct code reviews and enforce best practices; implement testing strategies.
• Foster continuous improvement and stay updated with industry trends.

Skills

Leadership

AI Engineering

AWS

Docker

Kubernetes

Python

LLMs

Agile

Project management

Communication

Problem solving

Education

CS Degree

Tools

AWS

Docker

Kubernetes

Python

Job description

Job Description Summary

As a Senior Engineering Manager, you will be responsible for Designs, programs, documents, tests, and fixes bugs involved in creating and maintaining applications and frameworks involved in a software release lifecycle resulting in a digital product. Impacts approaches, projects and programs in the functional area or affected business organization and ways of working. Impacts quality, efficiency and effectiveness of own team. Has significant input into priorities. Guided by professional practices and policies that are shaped by the role. The role has moderate autonomy, requiring high levels of operation.

GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

Roles & Responsibilities:

• Team Leadership and Management:

  • Lead and mentor a team of software engineers, fostering a collaborative and innovative environment.

  • Provide guidance and support to team members, helping them grow their skills and advance their careers.

• Project Oversight:

  • Oversee the entire software development lifecycle, from planning and design to implementation and deployment.

  • Ensure projects are completed on time, within scope, and meet quality standards.

• AWS Infrastructure Management:

  • Design, implement, and optimize AWS infrastructure to support scalable and reliable applications.

  • Ensure the security and cost-effectiveness of cloud resources.

• Data Engineering:

  • Develop and maintain data pipelines and ETL processes to handle large volumes of data.

  • Ensure data integrity, quality and accessibility for various applications.

• Large Language Models (LLMs) Integration:

  • Integrate LLMs for different use cases, ensuring they meet performance and accuracy requirements.

  • Stay updated with advancements in LLMs and apply best practices for their deployment.

• Collaboration and Communication:

  • Work closely with cross-functional teams, including product managers, data scientists, and other stakeholders, to define project requirements and deliverables.

  • Communicate project status, risks and opportunities to senior management and other stakeholders.

• Quality Assurance:

  • Conduct code reviews and enforce best practices for software development.

  • Implement testing strategies to ensure the reliability and performance of applications.

• Continuous Improvement:

  • Foster a culture of continuous improvement and innovation within the team.

  • Stay up-to-date with industry trends and emerging technologies to keep the team competitive.

• Risk Management:

  • Identify and mitigate risks throughout the project lifecycle.

  • Develop contingency plans to address potential issues.

• Documentation:

  • Ensure comprehensive documentation of systems, processes and best practices for future reference and training.

Educational Qualifications:

• Bachelor s or Master s degree in Computer Science, Engineering or a related field.

Required Skills:

• Proven experience as a software engineering manager or in a similar leadership role.

• Strong technical background with AI Engineering, Data Engineering, AWS, Docker, Kubernetes, Python.

• Experience with large language models (LLMs) and their integration into AI systems.

• Excellent leadership and communication skills.

• Experience with Agile methodologies and project management tools.

• Ability to manage multiple projects and priorities in a fast-paced environment.

• Strong problem-solving skills and attention to detail.

• Knowledge of industry best practices and emerging technologies

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviours: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you d expect from an organization with global strength and scale, and you ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

#Everyroleisvital

#LI-SM1

#Hybrid

Additional Information

Relocation Assistance Provided: No