A leading digital care provider seeks a Senior Applied AI Engineer to help transform healthcare through advanced AI. You'll deploy cutting-edge models, including large language and generative AI, to drive meaningful outcomes at scale. Join a mission-driven, remote-first organization offering flexibility, inclusivity, and growth opportunities-an exceptional chance to apply your expertise and make a real impact on lifelong health.
Key Responsibilities:
As a Senior Applied Artificial Intelligence Engineer, you will be instrumental in shaping the future of digital healthcare by developing state-of-the-art AI solutions that drive real-world impact. Your day-to-day activities will involve architecting robust machine learning systems using large language models, collaborating with multidisciplinary teams to translate business needs into technical requirements, and ensuring seamless integration of AI features into existing platforms. You will take ownership of monitoring deployed models' performance, iterating rapidly based on user feedback and data insights while maintaining high standards for quality and reliability. Success in this role means not only delivering technically sound solutions but also fostering an environment where knowledge is shared openly, collaboration thrives, and every team member feels empowered to contribute their unique perspective toward achieving shared objectives.
Lead the design and deployment of advanced artificial intelligence solutions, focusing on harnessing the capabilities of large language models to address complex healthcare challenges.
• Collaborate closely with cross-functional teams, including product managers, engineers, and business stakeholders, to ensure AI applications align with broader organizational goals and deliver measurable impact.
• Utilize industry-standard APIs and cloud platforms such as AWS and Azure to integrate cutting-edge AI functionalities into scalable digital products.
• Monitor model performance post-deployment by implementing robust evaluation frameworks, making iterative improvements based on data-driven insights to maximize efficiency and effectiveness.
• Drive the end-to-end lifecycle of AI projects from ideation through development, deployment, monitoring, and optimization within an Agile development framework.
• Apply prompt engineering techniques and fine-tuning strategies to enhance generative AI models for specific use cases relevant to digital healthcare.
• Champion best practices in machine learning operations (MLOps), ensuring reproducibility, reliability, and maintainability of deployed models across diverse environments.
• Stay abreast of emerging technologies and methodologies in artificial intelligence by actively engaging in continuous learning and knowledge sharing within the team.
• Foster a collaborative environment by supporting teammates, providing constructive feedback, and contributing to shared goals in line with organizational values. Key Requirements:
To excel as a Senior Applied Artificial Intelligence Engineer in this forward-thinking organization, you will bring extensive experience designing and deploying impactful machine learning solutions across various domains. Your background should include hands-on expertise with generative AI tools as well as proficiency in integrating these technologies into cloud-based infrastructures. You are adept at translating complex business requirements into actionable technical plans while maintaining open lines of communication with both technical peers and non-technical stakeholders. Your approach is grounded in empathy-valuing input from others-and you thrive when working collaboratively toward common goals. A passion for continuous improvement drives you to stay ahead of industry trends, while your problem-solving mindset ensures you can adapt quickly when faced with new challenges. Above all else, your enthusiasm for leveraging artificial intelligence to improve people's lives sets you apart as an ideal candidate for this impactful position.
• At least five years of experience deploying artificial intelligence models that have demonstrated significant business impact within complex environments.
• Proven ability to design, implement, deploy, and manage end-to-end AI solutions with particular emphasis on generative AI technologies such as OpenAI, Bedrock, Huggingface TGI, Ollama, langchain, or llamaindex.
• Expertise in utilizing machine learning tools, including AWS SageMaker, PyTorch, Hugging Face libraries, as well as familiarity with cloud ML services like Sagemaker or Azure ML.
• Demonstrated success in monitoring model performance after deployment with a focus on linking technical outputs to tangible business results.
• Strong interpersonal skills enabling effective collaboration across functional areas, including engineering, product management, and business operations.
• Comfort navigating ambiguity while solving problems creatively in fast-evolving technical landscapes; adaptability is essential for thriving in this environment.
• Commitment to continuous professional development by staying updated on new technologies and methodologies within the artificial intelligence field.
• Experience working within Agile development frameworks, demonstrating flexibility during rapid iteration cycles while maintaining attention to detail.
• Bachelor's degree or higher in Computer Science or related technical discipline or equivalent practical experience gained through hands-on project delivery.
• Genuine interest in the intersection between healthcare innovation and artificial intelligence applications. What sets this company apart:
• This organization stands out as a trailblazer in digital healthcare innovation-delivering evidence-based care that addresses chronic conditions through personalized programs powered by advanced technology. With over a decade of clinical data supporting its approach-including numerous peer-reviewed publications-the company has established itself as a trusted partner for health plans, employers ranging from small businesses to Fortune 500s, pharmacy benefit managers, and health systems nationwide.
