Job Description SummaryAs 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.
Job DescriptionResponsibilities Your responsibilities include the following:
- Designing and developing agentic AI architectures that combine LLMs with planning, tool use, memory, and feedback loops to automate and augment clinical and operational workflows.
- Building 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.
- Orchestrating AI agents across data modalities including medical images, electronic medical records, waveforms, and clinical reports.
- Defining evaluation strategies for agent behavior, including task success, robustness, safety, and alignment-beyond traditional model accuracy metrics.
- Developing production-ready systems for agent deployment, monitoring, observability, and lifecycle management, including guardrails, auditing, and human-in-the-loop controls.
- Building scalable, service-oriented platforms and reusable components that enable multiple teams to compose, customize, and govern AI agents across products.
- Prototyping and iterating quickly to validate agent behavior in realistic workflows, then hardening solutions for regulated, high-reliability environments.
- Staying current with advances in agentic AI, LLM tooling, orchestration frameworks, and applied AI system design.
Basic Qualifications - 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.
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).
Eligibility Requirements- Legal authorization to work in the U.S. is required.
- Must be willing to travel to attend meetings, workshops, conferences & etc.
- Must be willing to work out of an office located in the greater Seattle Area.
About TeamGE 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.
Work/Life Balance
Our team also puts a significant value on work-life balance. Having a healthy balance between your personal and professional life is crucial to your happiness and success here. We don't focus on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work.
Mentorship & Career Growth
We maintain diverse engineering, and leadership perspectives and backgrounds across technology and beyond. Our employees are excited to share their experiences and mentor more junior engineers. Team members are highly encouraged to set up mentorship relationships with seasoned engineers, not only in our team, but also across the broader GE Healthcare population.
Inclusive Team Culture
Here at GEHC, we embrace our differences. We are committed to furthering our culture of inclusion. We have many employee-led affinity groups, innovative benefit offerings, and encourage ongoing learning experiences. 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.
Relocation Assistance
Available.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.For U.S. based positions only, the pay range for this position is $164,000.00-$246,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
Relocation Assistance Provided: Yes
