Principal AI Architect at GE Healthcare

Bengaluru, Karnataka, India

Apply Now

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

Generative AI

AI Architecture

MLOps

LLMOps

Cloud Infrastructure

Data Pipelines

Scalable AI Models

AI Security

Model Monitoring

Observability

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