Senior Manager AI & Cloud Engineering

We are seeking a highly experienced and visionary Senior Manager AI Software & Cloud Engineering to lead the design development and scaling of next-generation AI-first cloud-first platforms. This role will drive the strategy and execution of AI/ML platforms MLOps GenAI capabilities and SaaS products on AWS while building high-performing engineering teams and fostering a culture of innovation automation and cost efficiency.

The ideal candidate combines deep technical expertise strong leadership and a first-principles mindset to solve complex problems and deliver scalable reliable and cost-optimized AI-driven systems.

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.

Key Responsibilities:

• Define and lead the architecture of AI/ML platforms MLOps pipelines and SaaS applications on AWS.

• Drive adoption of AI-first and cloud-first principles across engineering teams.

• Lead design of scalable systems leveraging GenAI / LLMs AI Learning Engineering frameworks Distributed systems and microservices

• Establish best practices for secure scalable and resilient cloud-native architectures.

• Ensure alignment with enterprise architecture and long-term technology strategy.

• Build and scale end-to-end AI/ML platforms including Data ingestion feature engineering model training evaluation deployment and monitoring.

• Implement robust MLOps practices: Model versioning reproducibility CI/CD for ML observability and governance.

• Drive development of AI DLC (Deep Learning Containers) and standardized environments for training/inference.

• Enable AI automation across pipelines and workflows to accelerate experimentation and deployment.

• Lead integration of GenAI capabilities into products and internal platforms.

• Oversee development of multi-tenant SaaS platforms with high availability and scalability.

• Ensure engineering excellence in API design Backend systems Frontend integration (where applicable)

• Drive DevOps and CI/CD maturity for rapid reliable releases.

• Champion platform engineering principles for reusable and modular services.

• Lead cloud strategy and implementation using AWS services such as Compute (EC2 Lambda EKS) Storage (S3 EFS) AI/ML (SageMaker Bedrock) Data (Redshift Glue Athena)

• Optimize cloud infrastructure for performance scalability and cost efficiency.

• Establish cloud governance frameworks including security compliance and tagging strategies.

• Own and drive cost governance strategies across AI and cloud platforms.

• Implement FinOps practices: Cost visibility allocation and forecasting Resource optimization (compute storage GPU usage)

• Continuously optimize Model training/inference costs Infrastructure utilization SaaS operational expenses

• Build mentor and lead high-performing engineering teams across AI software and cloud domains.

• Foster a culture of Ownership Innovation Continuous learning Collaboration

• Provide technical coaching and career development for engineers and managers.

• Drive hiring strategies to attract top AI and cloud talent.

• Lead initiatives in AI Learning Engineering: Continuous model improvement Feedback loops Human-in-the-loop systems

• Promote experimentation with GenAI LLMs and emerging AI technologies.

• Translate research and innovation into production-ready solutions.

• Apply first-principles thinking to decompose complex technical and business problems.

• Drive data-driven decision-making and engineering trade-offs.

• Lead teams in solving ambiguous high-impact challenges with clarity and rigor.

• Identify opportunities for AI-driven automation across Development workflows Testing and QA Infrastructure management Customer-facing features

• Build intelligent systems that reduce manual effort and improve productivity.

• Bachelors or masters degree in computer science Engineering or related field.

Required Qualifications:

• 15 years of experience in software engineering cloud engineering or AI/ML systems.

• 5 years in technical leadership or engineering management roles.

• Strong experience with AWS cloud ecosystem AI/ML platforms and MLOps SaaS architecture and delivery models

• Hands-on experience with CI/CD pipelines and DevOps practices.

• Proven track record of leading large-scale distributed systems.

• Experience with GenAI / LLM frameworks and applications.

• Familiarity with AI Software Development Life Cycle GPU workloads and deep learning infrastructure.

• Knowledge of Kubernetes containerization and platform engineering.

• Exposure to FinOps and cost optimization strategies.

• Experience in regulated industries (e.g. healthcare finance) is a plus.

• AI-First Mindset Prioritize AI-driven solutions and innovation.

• Cloud-First Mindset Design for scalability resilience and elasticity.

• Strategic Thinking Align engineering efforts with business goals.

• Execution Excellence Deliver high-quality solutions at scale.

• Leadership & Influence Inspire teams and drive cross-functional collaboration.

• Problem-Solving Strong analytical and first-principles thinking approach.

• Cost Awareness Balance innovation with financial efficiency.

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 youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.

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