AI Engineer

Job Description SummaryWe are seeking a highly skilled and innovative AI Engineer with expertise in both traditional Artificial Intelligence and emerging Generative AI technologies. In this role, you will be responsible for designing, developing, and deploying intelligent systems that leverage machine learning, deep learning, and generative models to solve complex problems. You will work across the AI lifecycle—from data engineering and model development to deployment and monitoring—while also exploring GenAI applications, Agentic AI and developing agentic platforms. The ideal candidate combines strong technical acumen with a passion for experimentation, rapid prototyping, and delivering scalable AI solutions in real-world environments.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. 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.

Job Description

Job Description

Roles and Responsibilities

In this role, you will:

• Develop and fine-tune Generative AI models (e.g., LLMs, diffusion models).

• Design and implement machine learning models for classification, regression, clustering, and recommendation tasks.

• Build and maintain scalable AI pipelines for data ingestion, training, evaluation, and deployment.

• Collaborate with cross-functional teams to understand business needs and translate them into AI solutions.

• Ensure model performance, fairness, and explainability through rigorous testing and validation.

• Deploy models to production using MLOps tools and monitor their performance over time.

• Stay current with the latest research and trends in AI/ML and GenAI and evaluate their applicability to business problems.

• Document models, experiments, and workflows for reproducibility and knowledge sharing.

 Technical Skill Set

  Cloud & Infrastructure (AWS)

• Amazon SageMaker – Model training, tuning, deployment, and MLOps.

• Amazon Bedrock – Serverless GenAI model access and orchestration.

• SageMaker JumpStart – pre-trained models and GenAI templates.

• Prompt engineering and fine-tuning of LLMs using SageMaker or Bedrock.

 

 Programming & Scripting

• Python – Primary language for AI/ML development, data processing, and automation.

Education Qualification

Bachelor’s degree in engineering with minimum four years of experience in relevant technologies.

Desired Characteristics

Technical Expertise:

GenAI Platforms & Models

• Familiarity with LLMs: like Claude (Anthropic), LLaMA (Meta), Gemini (Google), Mistral, Falcon

• Experience with APIs:  Amazon Bedrock.

• Understanding of model types: encoder-decoder, decoder-only, diffusion models

• Design, develop, and deploy agent-based AI systems that exhibit autonomous decision-making.

• Integrate Generative AI (LLMs, diffusion models) into real-world applications.

Prompt Engineering & Fine-Tuning

• Prompt design for zero-shot, few-shot, and chain-of-thought reasoning

• Fine-tuning and parameter-efficient tuning (LoRA, PEFT)

• Retrieval-Augmented Generation (RAG) design and implementation

System Integration & Architecture

• Event-driven and serverless architectures (e.g., AWS Lambda, EventBridge)

Development Frameworks

• LangChain, LlamaIndex.

• Vector databases: FAISS, Pinecone, Weaviate, Amazon OpenSearch

• Langgraph, Langchain

Cloud & DevOps

• AWS (Bedrock, SageMaker, Lambda, S3), Azure (OpenAI, Functions), GCP (Vertex AI)

• CI/CD pipelines for GenAI workflows

Security & Compliance

• Data privacy and governance (GDPR, HIPAA)

• Model safety: content filtering, moderation, hallucination control

Monitoring & Optimization

• Model performance tracking (latency, cost, accuracy)

• Logging and observability (CloudWatch, Prometheus, Grafana)

• Cost optimization strategies for GenAI inference

Collaboration & Business Alignment

• Working with product, legal, and compliance teams

• Translating business requirements into GenAI use cases

• Creating PoCs and scaling to production

Business Acumen:

• Demonstrates the initiative to explore alternate technology and approaches to solving problems

• Skilled in breaking down problems, documenting problem statements and estimating efforts

• Has the ability to analyze impact of technology choices

• Skilled in negotiation to align stakeholders and communicate a single synthesized perspective to the scrum team. Balances value propositions for competing stakeholders.

• Demonstrates knowledge of the competitive environment

• Demonstrates knowledge of technologies in the market to help make buy vs build recommendations, scope MVPs, and to drive market timing decisions

Leadership:

• Influences through others; builds direct and "behind the scenes" support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome.

• Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making.

• Understands when change is needed. Participates in technical strategy planning.

Personal Attributes:

• Able to effectively direct and mentor others in critical thinking skills.

• Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices.

• Finds important patterns in seemingly unrelated information.

• Influences and energizes other toward the common vision and goal.

• Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable.

• Innovates and integrates new processes and/or technology to significantly add value to GE Healthcare.

• Identifies how the cost of change weighs against the benefits and advises accordingly.

• Proactively learns new solutions and processes to address seemingly unanswerable problems.

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 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-MA6 

Additional Information

Relocation Assistance Provided: No