Principal AI Engineer

About the role

As an AI Engineer, you will play a critical role in designing, building, and deploying agentic AI systems that reason, plan, act, and learn in complex real-world environments. You will develop end-to-end intelligent agents that orchestrate large language models (LLMs), tools, data sources, and workflows to deliver reliable, production-grade automation for clinical and operational use cases. You will work at the intersection of AI research, software engineering, and product delivery—bridging AI capabilities with scalable systems that can operate autonomously, collaborate with humans, and adapt over time within regulated healthcare settings.

Responsibilities

• Design and develop agentic AI architectures that combine LLMs with planning, tool use, memory, and feedback loops to automate and augment clinical and operational workflows.
• Build multi-step reasoning and decision-making agents that can decompose tasks, select tools, invoke external systems (e.g., databases, APIs, services), and adapt based on outcomes.
• Orchestrate AI agents across data modalities including medical images, electronic medical records, waveforms, and clinical reports.
• Define evaluation strategies for agent behavior, including task success, robustness, safety, and alignment—beyond traditional model accuracy metrics.
• Develop production-ready systems for agent deployment, monitoring, observability, and lifecycle management, including guardrails, auditing, and human-in-the-loop controls.
• Build scalable, service-oriented platforms and reusable components that enable multiple teams to compose, customize, and govern AI agents across products.
• Prototype and iterate quickly to validate agent behavior in realistic workflows, then harden solutions for regulated, high-reliability environments.
• Stay current with advances in agentic AI, LLM tooling, orchestration frameworks, and applied AI system design.

Requirements

• Graduate degree in Computer Science or a related field, with two or more years of industry experience.
• Strong experience in software engineering for AI systems, including designing distributed, stateful, or event-driven services.
• Hands-on experience with LLMs and agent frameworks, such as tool calling, function execution, retrieval-augmented generation (RAG), memory, and planning patterns.
• Proficiency in one or more general-purpose programming languages (e.g., Python, Java, C/C++).
• Experience working with large-scale data and production platforms (e.g., Spark, Hadoop, cloud-native services).
• Practical experience deploying and operating AI systems in production, including monitoring, logging, and failure handling.
• Legal authorization to work in the U.S. is required.
• Must be willing to travel to attend meetings, workshops, and conferences.
• Must be willing to work out of an office located in the greater Seattle Area.

Preferred Qualifications

• Experience building autonomous or semi-autonomous agents in real-world, noisy, or high-stakes environments.
• Familiarity with AI safety, guardrails, interpretability, and human-in-the-loop system design.
• Experience handling real-world medical or patient data and working within regulated environments.
• Background in machine learning or deep learning (e.g., PyTorch, TensorFlow).

About the team

GE Healthcare teams are based in the US (San Ramon, Bellevue), France, Israel (Tel Aviv), and India (Bangalore). This gives us several core overlap hours for shared meetings.

Our team values work-life balance. We offer a flexible schedule to help you maintain a productive and well-balanced life both in and outside of work.

We maintain diverse engineering and leadership perspectives and backgrounds. Employees are encouraged to set up mentorship relationships with seasoned engineers across the broader GE Healthcare population.

We embrace differences and are committed to fostering an inclusive culture. We expect all employees to act with humility, build trust, lead with transparency, deliver with focus, and drive ownership with integrity.

Benefits

• Medical, dental, and vision coverage
• Paid time off
• 401(k) plan with employee and company contribution opportunities
• Life, disability, and accident insurance
• Tuition reimbursement

Pay

The pay range for this position is $196,000.00 - $294,000.00 annually. Compensation decisions depend on skills, qualifications, experience, and location. This position may also be eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives (LTI).