Principal AI Architect at GE Healthcare

Bengaluru, Karnataka, India

GE Healthcare Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, TechnologyIndustries

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s or PhD is a plus
  • 4+ years of experience in designing and implementing AI architectures, with a focus on generative models (e.g., GPT, VAEs, GANs)
  • 10+ years of experience with cloud platforms (AWS preferred) and AI/ML frameworks (TensorFlow, PyTorch)
  • Experience with Generative AI RAG pattern and LLM fine tuning
  • Experience with ML and Generative AI tools such as Amazon SageMaker and Amazon Bedrock
  • Knowledge of ethical principles in AI development and deployment, including fairness, accountability, and transparency, ability to identify and address biases in data and models, and understanding of techniques for interpreting and explaining AI models
  • Proficiency in programming languages such as Python, R, Java, and C++ or related modern programming languages
  • Deep understanding of machine learning algorithms, natural language processing, and deep learning techniques
  • In-depth knowledge of CNNs, RNNs, LSTMs, Transformers, and their applications
  • Strong understanding of NLP techniques, including text preprocessing, tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition
  • Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment
  • Strong communication and collaboration skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders
  • (Preferred) Experience with MLOps and CI/CD pipelines for AI model deployment

Responsibilities

  • Develop and maintain the foundational architecture for generative AI initiatives, ensuring scalability, security, and efficiency
  • Define the technical roadmap for generative AI capabilities, aligning with business objectives and CDO technology strategies
  • Collaborate with stakeholders to gather requirements, provide technical guidance, and deliver AI solutions that meet business needs
  • Define, deploy, and advance processes for: AI/ML development, MLOps, LLMOPs, and the monitoring, observability, security, and maintainability of AI models
  • Design and implement the infrastructure required to support generative AI models, including cloud-based solutions, data pipelines, and data storage platforms
  • Ensure seamless integration of AI models into production environments, enabling real-time and batch processing capabilities
  • Mentor a team of engineers and data scientists in the development and deployment of generative AI models
  • Stay abreast of the latest advancements in generative AI and related technologies, incorporating best practices and innovative approaches into the architecture
  • Drive continuous improvement of the AI architecture, ensuring it evolves to meet changing business and technological demands
  • Implement and enforce AI governance standards and security measures to protect sensitive data and ensure regulatory compliance
  • Monitor and mitigate risks associated with the deployment and operation of AI models

Skills

Key technologies and capabilities for this role

Generative AIAI ArchitectureMLOpsLLMOpsCloud InfrastructureData PipelinesScalable AI ModelsAI SecurityModel MonitoringObservability

Questions & Answers

Common questions about this position

What experience is required for the Principal AI Architect role?

Candidates need 4+ years designing and implementing AI architectures focused on generative models like GPT, VAEs, and GANs, 10+ years with cloud platforms (AWS preferred) and AI/ML frameworks (TensorFlow, PyTorch), experience with Generative AI RAG pattern and LLM fine tuning, and with tools like Amazon SageMaker and Amazon Bedrock.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What does the team structure look like for this role?

You will mentor a team of engineers and data scientists, collaborate with cross-functional teams including data scientists, engineers, and business leaders, and work directly with the Chief Data Officer (CDO).

What education is required for this position?

A Bachelor’s degree in Computer Science, Engineering, or a related field is required, with a Master’s or PhD preferred.

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters
1892Year Founded
N/ACompany Stage
Data & Analytics, HealthcareIndustries
10,001+Employees

Risks

Emerging AR technologies increase competition in medical imaging.
Regulatory challenges may delay AI application expansions in healthcare.
Dependence on clinical trial success for new product market positioning.

Differentiation

GE Healthcare invests $1 billion annually in R&D for product innovation.
The company supports over 300,000 patients daily with its healthcare technologies.
GE Healthcare's AIR Recon DL offers 3D motion-insensitive imaging for enhanced MRI quality.

Upsides

Acquisition of Caption Health expands AI-powered ultrasound capabilities.
Successful Phase III trial of [18F]flurpiridaz enhances coronary artery disease detection.
Collaboration with Wayra accelerates digital health innovation in EMEA.

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