We are a team of technologists, software engineers, doctors, nurses, and lean healthcare experts with on-the-ground experience solving operational challenges in clinical environments. Qventus helps hospitals like Stanford/Mayo Clinic/Emory/New York Presbyterian reduce wait time for patients, prevent patient falls, and generally helps hospitals deliver a better and safer experience for patients, resulting in reduced injuries, loss of life, and financial waste.

We're making a big difference. Qventus has meaningfully affected patient experiences and outcomes for almost 4 million patients across the united states. Our platform works with hospital data to predict negative outcomes for patients and associated potentially disastrous situations that are likely to occur, then applies our system of action to reach the right doctors and nurses, at the right time, telling them where to go to stop these events before they happen. Think Minority Report applied to hospitals.

Our founding team has done this before. Two of our three founders worked in consulting for over a decade solving efficiency problems in hospitals. They know hospitals, where they've been, where they want to go, and how to work within them to drive the necessary mind shift and change management we need to drive this new wave of technology.

Our team is top notch! We have the fortune of having amazing engineerings and data scientists from top schools (Stanford, MIT, Cal, etc.) applying the latest in artificial intelligence and machine learning to create products that help healthcare organizations around the world and their people adapt in the moment and make the right decisions from the most complex data. Furthermore, we employ several practicing clinicians (practicing surgeons, doctors, nurses) in the company to help us understand the hospital environment. We take what we do very seriously.

Join us as the Chief Architect - GenAI and become a driving force in shaping the future of healthcare innovation!

At Qventus, we are at the forefront of transforming healthcare, and as we embark on the journey of launching a suite of GenAI products, we are seeking a visionary Chief Architect to lead the charge. In this pivotal role, you will be the cornerstone of our GenAI team, owning the technical strategy and driving innovation. You will collaborate closely with our founders and a passionate team of engineers who are committed to advancing the technological revolution that is reshaping our society.

Your deep expertise in GenAI, LLMs, and multimodal systems will be critical as you spearhead the architectural vision for our Generative AI Studio. You will design and implement cutting-edge, scalable solutions that leverage the latest advancements in AI to power the next generation of intelligent, agentic products. Operating at the intersection of technology and product, you will ensure that our AI-driven innovations not only push the boundaries of what's possible but also deliver exceptional user experiences in a rapidly evolving market. Your innovator mindset will drive you to solve complex problems in the uncharted waters of GenAI.

If you're ready to take on this exciting challenge and be part of a team that is making a tangible difference in the world, we invite you to join us at Qventus. Let's build the future of healthcare together!

About Qventus

For over 12 years, Qventus has been leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our GenAI products are addressing frontline challenges in healthcare, from streamlining communication to simplifying administrative tasks, all with the aim of enhancing the quality of care.

Our rapid global expansion is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, directly impacting the lives of patients. We are inspired to collaborate with healthcare leaders on our founding vision: to unlock world-class medicine through world-class operations.

Key Responsibilities:

• Architectural Leadership: Define, establish, and continuously refine the architectural roadmap for our Generative AI Studio, ensuring alignment with business objectives and staying ahead of technological advancements in AI.

• Generative AI & Multimodal Expertise: Apply deep expertise in generative AI models (e.g., GANs, VAEs, Transformers, LLMs) and multimodal systems to design and implement advanced frameworks that support the development of agentic, market-ready products.

• Agentic Product Development: Architect innovative solutions that enable the creation of intelligent, autonomous agents capable of complex tasks and interactions across diverse industry verticals, integrating multimodal inputs (text, image, audio) and outputs.

• Scalability and Performance: Design architectures with a focus on scalability, performance, and security, ensuring our AI products operate efficiently and reliably in production environments.

• Innovation & Research: Lead and contribute to cutting-edge AI research, integrating the latest methods, tools, and technologies, including multimodal models, into our architecture. Strengthen our leadership position in the GenAI community.

• Tooling & Framework Mastery: Utilize and extend advanced AI tools and frameworks, particularly those for multimodal applications, driving the adoption of best-in-class solutions to accelerate innovation and product development.

• Cross-functional Collaboration: Work closely with product managers, engineers, data scientists, and other stakeholders to translate business requirements into robust technical specifications and architectural designs.

• Mentorship: Provide technical mentorship and guidance to engineering teams, promoting a culture of continuous learning, innovation, and technical excellence.

• Governance & Standards: Establish and enforce architectural standards, best practices, and governance frameworks to ensure consistency, quality, and reliability across all AI-driven products.

• Strategic Influence: Serve as a strategic advisor to executive leadership on all matters related to generative AI and multimodal architecture, playing a key role in shaping the company’s AI strategy and product roadmap.

What We’re Looking For:

Technical Skills:

• 10+ years of experience in software architecture, with a focus on AI and machine learning.

• Proven track record of architecting and delivering complex AI-driven products to market, with a strong emphasis on generative AI and multimodal systems.

• Extensive experience in launching GenAI products, including agentic systems, multi-agent frameworks, and similar technologies.

• Deep expertise in generative AI models (GANs, VAEs, Transformers, LLMs) and multimodal models, with the ability to integrate multiple data types (e.g., text, images, audio) into cohesive AI-driven solutions.

• Proficient in programming languages such as Python, and frameworks like TensorFlow, PyTorch, or similar, with hands-on experience in cutting-edge AI tools.

• Strong knowledge of cloud platforms (AWS, GCP, Azure) and distributed computing systems, with an emphasis on scalability, high-performance computing, and security.

• Nice to have: Full-Stack Proficiency: Comfort with coding and experience across the entire stack to ensure cohesive, scalable architecture.

Non-Technical Skills:

• Demonstrated ability to lead, mentor, and influence teams in a high-stakes, innovative environment without direct managerial responsibilities.

• Strategic thinker with strong analytical and problem-solving skills, capable of envisioning the future trajectory of AI technologies and their potential industry impacts.

• Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders, fostering alignment and understanding across the organization.

We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that’s why we’re building a company that leads the way. We hold ourselves accountable to using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal opportunity employer and give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Candidate information will be treated in accordance with our candidate privacy notice which can be found here:https://qventus.com/ccpa-privacy-notice/

Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

*Benefits and perks are subject to plan documents and may change at the company's discretion.

Engineering is comprised of several teams: - Web Apps: Responsible for our web platform and associated services. - Mobile: Responsible for our mobile products (iOS and Android). - Data Platform: Responsible for ETL, data processing and platform, managing data lifecyle from customer ingest to persistence, serving data to data science and web apps groups. - Data Science: Responsible for our ML development. - DevOps: Infrastructure and associated infrastructure services, working with teams to build and maintain CI/CD pipelines. - QA: Responsible for quality definition, automation, QA infrastructure, driving quality process from development through release. Functional QA is largely outsourced, we prefer to have QA team focused more on the engineering required to scale a large QA org.

Some of the challenges we are facing:

1. Using AI/ML- We use predictive analysis to help doctors and nurses make proactive operational decisions so they can focus on patient care

2. Data scaling- We are starting to get significantly larger volumes of data, which is also increasingly becoming more and more clinical (lab results, etc) in nature.

3)Data sensitivity- Because this data is more clinical, it is more sensitive and requires a higher bar on how we set up and monitor our systems.

4)Data Ingestion- Getting data out of hospitals is not an easy task. We have to figure out more scalable solutions to help us grow quickly. This is an industry wide problem and we are looking to do it better than just about anyone else.

5)Product growth- Expansion in more areas of the hospital means we have more to learn and an opportunity to expand our product to achieve more outcomes.