Sr Engineer, AI Innovations
About The Position
The Senior Engineer, AI Innovations provides subject matter expertise within PDS Health Innovations, driving artificial intelligence and machine learning initiatives through advanced problem-solving, technical depth, and hands-on execution. This position evaluates AI/ML technology alternatives and ensures alignment with PDS Health’s standards and business goals. The Senior Engineer, AI Innovations is responsible for designing, developing, and deploying AI/ML-driven solutions across PDS Health’s clinical and operational environments. This role collaborates across teams, mentors junior engineers, and interfaces with business leaders to translate requirements into scalable AI/ML solutions while ensuring compliance with HIPAA, data governance policies, and AI ethics standards.
Requirements
- Bachelor’s degree in computer science, Engineering, or related field. In lieu of degree, +5 years of professional experience is required.
- 8+ years of progressive experience in AI/ML engineering, MLOPs, or related fields.
- Certifications such as AWS Machine Learning Specialty, Google ML Engineer, or Azure AI Engineer.
Nice To Haves
- Experience in the healthcare (medical or dental industry), retail, or other large enterprise environments.
- Experience developing FDA compliant technical documentation for AI/ML systems.
- Advanced problem-solving for complex AI/ML challenges.
- Strong mentoring and technical leadership abilities.
- Strategic thinking with hands-on AI/ML development expertise.
- Ability to influence AI/ML adoption decisions across teams.
- Expertise in AI/ML lifecycle management and deployment.
- Excellent stakeholder communication and collaboration skills.
- Proficient in evaluating AI/ML technologies and risk assessment.
Responsibilities
- Lead AI/ML system reliability, performance optimization, and infrastructure capacity planning.
- Design and implement AI/ML technical systems with focus on reliability, security, and scalability.
- Mentor others in MLOPs practices, including automation of AI workflows and model deployment pipelines.
- Drive incident response, troubleshooting, and root cause analysis for AI/ML production systems.
- Design model monitoring, alerting, and observability solutions.
- Lead implementation and maintain AI specific security protocols and best practices.
- Optimize computational resource utilization for AI/ML workloads.
- Collaborate with development, operations, and security teams to integrate AI/ML capabilities.
- Evaluate and adopt emerging AI/ML technologies and frameworks.
- Ensure compliance with regulatory requirements for AI systems.
- Other duties and responsibilities as assigned.
Benefits
- Medical, dental, and vision insurance
- Paid time off
- Tuition Reimbursement
- 401K
- Paid time to volunteer in your local community
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What This Job Offers
Job Type
Full-time
Career Level
Senior
