Senior GenAI Research Engineer (AI Agent), Digital Health jobs in United States
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Samsung Research America (SRA) · 10 hours ago

Senior GenAI Research Engineer (AI Agent), Digital Health

Samsung Research America (SRA) is an interdisciplinary team focused on developing GenAI/LLM-based health applications. The Senior GenAI Research Engineer will lead the development of autonomous agent ecosystems, bridge ML research and production, and translate research breakthroughs into impactful consumer features.

Consumer ElectronicsDigital SignageInformation TechnologyMedical DeviceSoftware
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Work & Life Balance
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H1B Sponsor Likelynote

Responsibilities

Lead the development of our next-generation autonomous agent ecosystem. In this role, you will bridge the gap between state-of-the-art ML research and production-grade consumer applications, specifically focusing on multi-agent orchestration and standardized communication protocols. You will be responsible for building resilient, interoperable agents that solve complex, multi-step tasks at scale while adhering to emerging industry standards like A2A and MCP
This role requires a unique blend of deep theoretical knowledge in LLMs and a proven track record of shipping production-grade AI features to millions of users
Agentic System Architecture: Design and deploy sophisticated multi-agent systems capable of long-horizon reasoning, planning, and autonomous task completion
Protocol Standard Adoption: Implement and optimize agentic workflows using the Model Context Protocol (MCP) for seamless tool and data integration
Interoperability Leadership: Architect cross-platform collaboration using the Agent-to-Agent (A2A) protocol to enable secure communication and task delegation between independent agents
End-to-End Product Delivery: Translate research breakthroughs into high-impact consumer features, managing the full lifecycle from prototyping to large-scale production deployment
Advanced Evaluation & Safety: Develop robust evaluation frameworks—including LLM-as-a-Judge and scenario-based testing—to ensure agent reliability, safety, and alignment
Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap

Qualification

Generative AILarge Language ModelsML pipelinesPythonDeep learning frameworksMLOpsAgentic workflowsStatistical analysisInterpersonal skillsCollaboration skills

Required

MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or equivalent combination of education, training, and experience
5+ years of experience in ML, with a strong track record of shipping consumer-facing AI products at scale
Experience building and deploying scalable GenAI/LLM applications, with tools such as VertexAI, HuggingFace, Langchain and OpenAI
GenAI Expertise: Deep understanding of transformer architectures, LLM fine-tuning, and modern generative AI methodologies
Agent Expertise: Proven track record in building and deploying autonomous agents, including experience with frameworks like LangGraph, CrewAI, or Semantic Kernel
Standard Mastery: Hands-on experience with MCP for connecting agents to external business tools/data and A2A for multi-agent coordination
Technical Stack: Expert proficiency in Python and deep learning frameworks (e.g., PyTorch)
Evaluation Expertise: Demonstrated experience building scalable, data-driven frameworks to measure LLM performance, safety, and robustness in real-world scenarios
Strong interpersonal and collaboration skills, ability to present complex information in an understandable and compelling manner, and comfortable working with multi-disciplinary teams

Preferred

Experience in NLP and Conversational AI
Experience in LLM validation, reliability, toxicity/harmfulness avoidance
Strong mathematics background, especially statistics
Turn the analyzed data into actionable insight and/or understandable visualization
Product development and prototyping experience in order to implement and validate solutions
Have working knowledge of the healthcare industry and experience curating and analyzing healthcare and wellness data
Experience in collaborating on software implementations of algorithms and computing models with client and cloud engineers
Experience operating under HIPAA/CCPA/GDPR is a plus
Experience with agentic workflows, multi-step reasoning, and tool-use integration
Contributions to open-source GenAI projects or publications at top-tier AI conferences (NeurIPS, ICML, ICLR)
Experience with automated prompt tuning frameworks (e.g., DSPy)
Familiarity with emerging 2026 security standards like ISO/IEC 42001 for agentic systems

Benefits

Annual bonus eligibility
Generous benefits to help you live life well

Company

Samsung Research America (SRA)

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Founded in October 1988, Samsung Research America (SRA) builds upon Samsung’s 40-year history in the Bay Area.

H1B Sponsorship

Samsung Research America (SRA) has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (70)
2024 (56)
2023 (71)
2022 (102)
2021 (69)
2020 (120)

Funding

Current Stage
Late Stage

Leadership Team

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Laszlo Gombos
Senior Director
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Richard Hyun
Director, R&D Strategy
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Company data provided by crunchbase