IT SR Software Engineer, Gen AI - Remote

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Written by AI from the job title and company, not by Mayo Clinic School of Health Sciences, so some details may not match this job. The employer's own page has the real description.

Job Overview

The IT Senior Software Engineer position in Generative AI at the Mayo Clinic School of Health Sciences will be responsible for architecting, developing, and implementing advanced AI solutions that enhance healthcare applications. This role requires a strong technical background in software engineering, particularly within the AI domain, and the ability to collaborate with cross-functional teams to drive innovation and efficiency. The ideal candidate will employ critical thinking skills to identify and leverage new technologies, ensuring projects meet organizational objectives and comply with industry standards.

Job Responsibilities

• Design, develop, and maintain high-performance software applications leveraging Generative AI technologies.
• Collaborate closely with data scientists and healthcare professionals to define and implement AI-driven solutions that address clinical and operational challenges.
• Conduct code reviews and provide mentorship to junior engineers, fostering a team-oriented engineering culture.
• Stay abreast of emerging tech trends and contribute to the strategic direction of AI initiatives within the organization.
• Ensure software solutions are compliant with healthcare regulations and data protection standards.
• Analyze and optimize application performance for scalability, reliability, and efficiency.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
• Minimum of 5 years of experience in software development, with a focus on AI and machine learning applications.
• Proficiency in programming languages such as Python, Java, or similar, with experience in AI frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of AI algorithms, machine learning concepts, and data structures.
• Experience with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Excellent analytical, problem-solving, and communication skills, with a proven ability to work collaboratively within cross-functional teams.

Technologies & Tools

This position will utilize a range of technologies and tools such as Python for AI programming, TensorFlow and PyTorch for developing machine learning models, cloud services including AWS and Azure for deployment, and modern development tools like Git for version control. Familiarity with Docker and Kubernetes will also be crucial for containerization and orchestration of applications.

Ideal Candidates

The ideal candidates for the IT Senior Software Engineer position will have a passion for leveraging technology to solve real-world healthcare problems. They should possess strong analytical skills, be both detail-oriented and methodical in their approach to software development, and demonstrate a commitment to continuous learning in the rapidly evolving field of generative AI. Candidates should embrace collaboration and remain adaptable to changing project requirements, fostering strong relationships with colleagues and stakeholders.