What are the responsibilities and job description for the Langgraph, Azure, Databricks, AWS - Senior AI Engineer (Remote) position at Mercy?
We’re a Little Different
Our mission is clear. We bring to life a healing ministry through our compassionate care and exceptional service.
At Mercy, we believe in careers that match the unique gifts of unique individuals – careers that not only make the most of your skills and talents, but also your heart. Join us and discover why Modern Healthcare Magazine named us in its “Top 100 Places to Work.”
Overview: Langgraph, Azure, Databricks, AWS - Senior AI Engineer
Position can be remote (Work from Home)
*Please note that as of the posting date of this job announcement, Mercy is unable to offer immigration sponsorship or visa assistance for this position. We encourage all eligible candidates, including U.S. citizens, permanent residents, and those with existing work authorization, to apply.
The Senior AI Engineer will lead the design, development, and deployment of cutting-edge AI solutions, including large language models (LLMs) and advanced machine learning (ML) systems. This role requires expertise in operationalizing AI/ML models at scale, driving software development initiatives, and leading efforts to integrate AI technologies into clinical, operational, and business workflows. The Senior AI Engineer will collaborate with cross-functional teams to solve complex problems and contribute to Mercy’s vision of personalized, predictive, and proactive care.
Qualifications:
- Experience: 4 years of experience in AI/ML development and software engineering, with demonstrated success in deploying production-grade AI solutions.
- Required Education: Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
- Other:
- Experience mentoring team members or leading technical initiatives.
- Proficiency in Python, Java, or C for AI/ML development.
- Expertise with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Strong skills in NLP, LLM fine-tuning, and prompt engineering.
- Experience with agentic AI design or orchestration tools (e.g., LangGraph, CrewAI).
- Familiarity with cloud platforms (AWS, Azure, GCP), Docker, and Kubernetes.
- Solid database experience (SQL/NoSQL) for structured and unstructured data.
- Excellent communication, problem-solving, and leadership skills.
- Preferred Qualifications:
- Education: Graduate degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
- Experience:
- Experience with MLOps, distributed computing (e.g., Databricks, Spark), and microservices.
- Familiarity with explainability tools, responsible AI practices, and regulatory compliance.
- Track record of delivering AI applications that provide measurable business or clinical impact.
We Offer Great Benefits:
Day-one comprehensive health, vision and dental coverage, PTO, tuition reimbursement and employer-matched retirement funds are just a few of the great benefits offered to eligible co-workers, including those working 32 hours or more per pay period!
We’re bringing to life a healing ministry through compassionate care.
At Mercy, our supportive community will be behind you every step of your day, especially the tough ones. You will have opportunities to pioneer new models of care and transform the health care experience through advanced technology and innovative procedures. We’re expanding to help our communities grow. Join us and be a part of it all.
What Makes You a Good Match for Mercy?
Compassion and professionalism go hand-in-hand with us. Having a positive outlook and a strong sense of advocacy is in perfect step with our mission and vision. We’re also collaborative and unafraid to do a little extra to deliver excellent care – that’s just part of our commitment. If that sounds like a good fit for you, we encourage you to apply.
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