Bangalore East, Karnataka, India · Hybrid
Job Description SummaryWe are looking for a highly skilled Senior Staff AI & Cloud Solution Architect to lead the design and development of scalable AI platforms and intelligent solutions on AWS. This role requires deep …
Skills: AI Platform Architecture, Cloud Architecture, AWS, Machine Learning Engineering, Deep Learning
Denver, Colorado, United States · On-site
$53k–$79k/yr
Job Description SummaryIn this role, the Field Engineer Apprentice will observe and perform various equipment service processes and procedures to drive customer satisfaction and ensure proper functionality of less comple…
Skills: Equipment Troubleshooting, Preventative Maintenance, Schematic Interpretation, Diagnostic Imaging Equipment, Customer Relations
Ho Chi Minh City, Vietnam · On-site
Job Description SummaryAs related customer equipment, faciliaties or infrastructure projects: responsible for project delivery, profit & loss accountability, and customer satisfaction through management of project relate…
Skills: Project Management, AutoCAD, Diagnostic Imaging Deployment, EHS Compliance, Quality Management System
Perry County, Ohio, United States · Hybrid
$63k–$95k/yr
Job Description SummaryThe CCST (Cyber Client Service Technician) will be the primary GE HealthCare Services face to the customer(s) for all issues related to device cybersecurity. The CCST will be the primary liaison be…
Skills: Cybersecurity, IT networking, Biomedical equipment maintenance, Troubleshooting, Technical communication
Ho Chi Minh City, Vietnam · On-site
Job Description SummaryAs related customer equipment, faciliaties or infrastructure projects: responsible for project delivery, profit & loss accountability, and customer satisfaction through management of project relate…
Skills: Project Management, AutoCAD, Diagnostic Imaging Deployment, EHS Compliance, Quality Management System
United Kingdom · On-site
Job Description SummaryAre you an experienced engineer with a background in medical imaging equipment. Or are you looking to transition into this exciting and impactful field? At GE HealthCare, we’re looking for a Field …
Skills: Preventative Maintenance, Fault Finding, Troubleshooting, MRI Systems, X-Ray Systems
Special capital Region of Jakarta, Java, Indonesia · Remote OK
Job Description SummaryThe customer finance team assists GE Aerospace customers with obtaining financing from 3rd party sources and with assessing and mitigating credit risk for the company. 1) The team interfaces with a…
Skills: Financial Statement Analysis, Asset-Backed Financing, Credit Risk Mitigation, Trade Finance, Portfolio Management
Warsaw, Masovian Voivodeship, Poland · On-site
Job Description SummarySystems engineering is a cross-functional engineering discipline centered on an approach, mindset, and process. All activities that consider both the business and the technical needs of the custome…
Skills: Systems Engineering, Product Integration, Requirements Management, Validation and Verification, System Level Testing
Adelaide, South Australia, Australia · On-site
Job Description SummaryThe Field Service Engineer is a senior technical specialist responsible for installing, maintaining and troubleshooting complex medical systems across the CT, Nuclear Medicine and PET modalities. T…
Skills: Medical System Installation, Troubleshooting, Root Cause Analysis, Preventative Maintenance, Medical IT Systems
Jacksonville, Florida, United States · On-site
Job Description SummaryAre you ready to dive into the world of manufacturing? This internship offers you a chance to get hands-on experience in a dynamic team environment. You’ll assist with production activities, learn …
Skills: Assembly, Inspection Techniques, Data Collection, Hand Tools, Measuring Equipment
São Paulo, São Paulo, Brazil · On-site
Job Description SummaryEssa função de estágio apoiará as equipes financeiras de LatAm ULS, PCS e IGT auxiliando na criação, manutenção e desenvolvimento de diversos relatórios financeiros, incluindo estimativas, orçament…
Skills: Advanced Excel, English Language, Financial Reporting, Power BI, Communication
Oslo, Oslo, Norway · On-site
Job Description SummaryInstall, maintain, and repair internal factory equipment. Supervise employees who perform maintenance and tool making. Accountable for the quality of own work. Subject to direct operations supervis…
Skills: Utilities Maintenance, Troubleshooting, GMP Standards, P&ID Reading, HVAC
Perry County, Ohio, United States · On-site
$42k–$64k/yr
Job Description SummaryGE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-ch…
Skills: Biomedical Equipment Repair, Planned Maintenance, Diagnostics, Customer Service, Electronic Circuitry
United Kingdom · On-site
Job Description SummaryAt GE HealthCare, the Biomedical Engineer – Site Based is responsible for providing on-site technical support for the maintenance, repair, and management of medical devices within a healthcare faci…
Skills: Preventive Maintenance, Corrective Maintenance, Medical Device Troubleshooting, CMMS, Inventory Management
Vandalia, Ohio, United States · On-site
Job Description Summary Job Description Working at our Dayton site: TDI has been leading design and manufacturer of turbine powered start systems for 40+ years and designer of turbine air motors for over 60 years. The TD…
Skills: Machine Operation, Blueprint Reading, Calipers, Micrometers, Lean Manufacturing
Springdale, Arkansas, United States · On-site
Job Description Summary Job Description Inspector B About GE Aerospace: Are you ready to see your future take flight? At GE Aerospace, we are advancing aviation technologies for today and tomorrow. Your work will contrib…
Skills: Visual Inspection, Dimensional Inspection, Precision Measuring Instruments, CMM Inspection, FAA Regulations
Springdale, Arkansas, United States · On-site
Job Description Summary Job Description Facilitator About GE Aerospace: Are you ready to see your future take flight? At GE Aerospace, we are advancing aviation technologies for today and tomorrow. Your work will contrib…
Skills: Production Control, Inventory Management, Shipping and Receiving, Shop Math, Microsoft Excel
Springdale, Arkansas, United States · On-site
Job Description Summary Job Description Inspector B About GE Aerospace: Are you ready to see your future take flight? At GE Aerospace, we are advancing aviation technologies for today and tomorrow. Your work will contrib…
Skills: Visual Inspection, Dimensional Inspection, FAA Regulations, Precision Measuring Instruments, CMM Inspection
Muskingum County, Ohio, United States · On-site
$48k–$72k/yr
Job Description SummaryGE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-ch…
Skills: Equipment Troubleshooting, Preventative Maintenance, Biomedical Equipment Repair, Schematic Interpretation, Customer Relations
Singapore, Singapore · On-site
Job Description SummaryGE Aerospace Singapore is seeking a motivated Digital Transformation Intern to support our initiatives in leveraging technology to enhance operational efficiency and drive innovation. This role off…
Skills: Digital Transformation, Data Collection, User Acceptance Testing, Project Management, VR/AR Tools
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You will lead the design and development of scalable, secure AI and GenAI platforms on AWS while establishing MLOps frameworks and best practices. The role involves collaborating with cross-functional teams to architect end-to-end machine learning pipelines and driving innovation in agentic AI solutions.
Candidates must possess a Bachelor's or Master's degree in a technical field and at least 12 years of experience in software engineering, AI/ML, and cloud architecture. Strong hands-on expertise in AWS, Python, ML frameworks, and MLOps is required to succeed in this senior-level position.
Design and build scalable, multi-tenant AI platforms on AWS supporting diverse ML and GenAI use cases.
Define reference architectures, reusable components, and best practices for AI/ML systems.
Architect end-to-end AI pipelines spanning data ingestion, feature engineering, model training, deployment, and monitoring.
Ensure platform readiness for SaaS environments, including tenant isolation, scalability, and cost optimization.
Lead development of machine learning and deep learning models for production-grade applications.
Establish standards for ML engineering, including data preprocessing, feature stores, training pipelines, and inference services.
Optimize model performance, scalability, and latency for real-time and batch inference systems.
Design and implement Generative AI solutions using AWS Bedrock and foundation models.
Build RAG (Retrieval-Augmented Generation) pipelines with vector databases and embeddings.
Develop agentic AI systems, including autonomous agents, orchestration frameworks, and tool integration.
Apply advanced techniques such as prompt engineering, fine-tuning, evaluation frameworks, and guardrails.
Architect and implement solutions using:
AWS SageMaker (training, pipelines, deployment)
AWS Bedrock (GenAI services)
Compute: Lambda, ECS, EKS
Orchestration: Step Functions
Storage/Data: S3, Redshift, DynamoDB, Glue
Build highly available, fault-tolerant, and cost-optimized cloud-native systems.
Implement Infrastructure as Code (IaC) using Terraform, AWS CDK, or CloudFormation.
Establish and scale MLOps frameworks for continuous integration and deployment of ML models.
Implement MLflow for experiment tracking, model registry, and lifecycle management.
Build automated CI/CD pipelines for ML workflows.
Enable model monitoring, drift detection, retraining pipelines, and explainability.
Design scalable data architectures to support AI/ML workloads (batch and streaming).
Implement data pipelines, feature stores, and data governance frameworks.
Ensure data quality, lineage, and accessibility across teams.
Architect AI systems with security-first principles, including encryption, IAM, and network controls.
Ensure compliance with enterprise and regulatory standards (e.g., HIPAA, GDPR, SOC2 as applicable).
Implement responsible AI practices, including bias detection, auditability, and explainability.
Establish governance for data, models, and AI services.
Design and implement AI-powered SaaS platforms, supporting:
Multi-tenancy and tenant isolation
API-driven architectures
Usage metering and cost attribution
Enable platform extensibility and integration with enterprise systems.
Provide technical leadership and mentorship across AI, ML, and cloud engineering teams.
Collaborate with product, engineering, and business stakeholders to translate requirements into scalable solutions.
Lead architecture reviews, design discussions, and technical decision-making.
Drive innovation and adoption of emerging AI paradigms.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field (PhD preferred) with a minimum of 12+ years of experience in software engineering, AI/ML, and cloud architecture.
Good expertise in Machine Learning Engineering and Deep Learning Engineering.
Hands-on experience with:
AWS (SageMaker, Bedrock, core cloud services)
MLflow and MLOps frameworks
Good programming skills in Python and ML frameworks (PyTorch, TensorFlow, etc.).
Proven experience designing and deploying scalable AI systems in production.
Experience with Infrastructure as Code (Terraform, CDK, CloudFormation).
Good understanding of data architecture and distributed systems.
Experience implementing secure and compliant cloud solutions.
Experience with agentic AI frameworks and multi-agent systems.
Familiarity with LLM orchestration tools (LangChain, LlamaIndex).
Experience with vector databases (Pinecone, OpenSearch, FAISS).
Knowledge of streaming and big data technologies (Kafka, Spark).
AWS certifications:
AWS Certified Solutions Architect – Professional.
AWS Machine Learning Specialty
Experience in enterprise SaaS platforms or regulated industries.
Expertise in scalable AI system design
Good foundation in ML, DL, and GenAI
Deep knowledge of MLOps and cloud-native architectures
Excellent problem-solving and system design skills
Good communication and stakeholder management
Ability to balance innovation with enterprise constraints (security, compliance, cost)
This role will be instrumental in shaping the organization’s AI platform strategy and execution, enabling rapid development and deployment of next-generation AI solutions, including Generative AI and agentic systems, while ensuring scalability, security, and compliance at enterprise scale.
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 behaviors: 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.
#LI-AM11
#LI-Hybrid
Relocation Assistance Provided: No
A new era is here, and we want you to be a part of it. We will now be sharing our content on our respective GE Aerospace and GE Vernova pages. Be sure to follow each to keep up with the future of aviation and energy.
Offices: 41 Farnsworth St, Boston, MA 02210, US · 2 Whitefield Road, Bengaluru, Karnataka 560066, IN
A new era is here, and we want you to be a part of it. We will now be sharing our content on our respective GE Aerospace and GE Vernova pages. Be sure to follow each to keep up with the future of aviation and energy.
Offices: 41 Farnsworth St, Boston, MA 02210, US · 2 Whitefield Road, Bengaluru, Karnataka 560066, IN
