Senior AI Engineer – Intelligent Automation at GE Healthcare

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Medical TechnologyIndustries

Requirements

Bachelor’s or Master’s degree in computer science, Engineering, or a related technical field
5+ years of software engineering experience, with hands-on development in AI, frontend and backend technologies
Experience building AI/ML or LLM-based applications in production
Strong knowledge of Azure services (Azure OpenAI, Functions, AKS, API Management) and AWS services (Bedrock, Lambda, API Gateway)
Familiarity with RPA tools (Power Automate, UiPath) and enterprise integrations
Understanding of cloud security, identity management, and data privacy
Proficiency in CI/CD pipelines, Docker, and container orchestration
Experience with Power Platform (Power Automate, Power Apps) (Additional)
Knowledge of subscription lifecycle management, supply chain, services, billing systems, and customer retention strategies (Additional)
Exposure to AI/ML-driven alerting or anomaly detection systems (Additional)

Responsibilities

Own end-to-end AI automation architectures: ingestion → orchestration → model inference → human-in-the-loop → monitoring & feedback loops
Design and implement AI automation solutions leveraging Microsoft Power Platform and AWS Bedrock, including defining RAG patterns, tool/function calling, prompt management, evaluation frameworks, and selecting services and reference designs across Azure and AWS for secure, scalable deployments
Develop APIs, microservices, and integration layers for enterprise systems (ERP, CRM, ITSM)
Integrate AI solutions with RPA platforms (Power Automate, UiPath) and business applications
Contribute to internal frameworks, reusable components, and coding standards
Lead design reviews, threat modelling, and post-incident reviews
Document architectures, runbooks, and knowledge articles; enable Ops for smooth handover
Collaborate with Product/Business to identify automation opportunities and shape roadmaps and success metrics
Establish guardrails, safety, privacy, and governance (PII handling, data minimization, prompt/content safety, model versioning, auditability)

Skills

Key technologies and capabilities for this role

AILLMsMachine LearningRPAMicrosoft Power PlatformAWS BedrockRAGPrompt EngineeringAPIsMicroservicesAzurePower AutomateUiPathERPCRMITSM

Questions & Answers

Common questions about this position

What experience level is required for this Senior AI Engineer role?

The role requires 5+ years of software engineering experience with hands-on development in AI, frontend and backend technologies, plus experience building AI/ML or LLM-based applications in production.

What key technical skills are needed for this position?

Candidates need strong knowledge of Azure services like Azure OpenAI, Functions, AKS, and API Management, AWS services including Bedrock, Lambda, and API Gateway, plus familiarity with RPA tools such as Power Automate and UiPath.

What is the salary or compensation for this role?

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 work environment and team look like at GE Healthcare?

You'll work with a passionate, cross-functional team in a fast-paced, innovative environment, collaborating closely with engineering, data science, operations, and business stakeholders.

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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