AI Engineer focused on building data platforms and solutions for analytics at PRODYNA. Collaborating with Data Architects and ML Engineers in a hybrid working model in Athens, Greece.
About the role
- Principal AI Engineer leading platform engineering and AI enablement initiatives at Humana, driving strategy for AI tools and products while collaborating with cross-functional partners.
Responsibilities
- Serve as the senior technical leader for platform engineering, AI enablement, and enterprise software delivery initiatives.
- Drive strategy and architecture for AI developer tools and products, playing a key role in advancing Humana’s technology ecosystem with generative AI, automation, and intelligent agents.
- Lead platform engineering efforts to enable advanced AI developer tools and capabilities for Humana’s enterprise engineering teams.
- Architect and drive end-to-end solutions that integrate AI, automation, and intelligent agents to support software delivery and productivity.
- Collaborate with cross-functional partners including Leadership, Engineers, Product Owners, and business stakeholders to mature use cases, define technical requirements, and deliver impactful solutions.
- Provide technical strategy, oversight, and guidance for Enterprise AI Chatbot product development.
- Educate and enable teams across Humana on emerging AI technologies, best practices, and architectural patterns.
- Ensure operational excellence in code quality, artifact management, and security for AI platforms and tools.
Requirements
- Bachelor’s degree in computer science, engineering, or related field; equivalent work experience may be considered.
- Minimum 10 years of hands-on software engineering experience, with at least 3 years in principal or architect-level roles delivering enterprise-scale AI and full stack solutions.
- Demonstrated expertise in designing and implementing platform engineering for developer tools, AI enablement, and complex software delivery pipelines.
- Extensive experience with DevOps practices, CI/CD pipelines, and platforms such as Azure DevOps, GitHub, Artifactory, and SonarQube.
- Strong proficiency in .NET and Python; familiarity with front-end technologies (HTML, CSS, JavaScript, React or Angular).
- Deep experience with cloud infrastructure (Azure, AWS, GCP), APIs, containerization (Docker), orchestration (Kubernetes), and Infrastructure as Code (Terraform, Ansible, CloudFormation).
Benefits
- medical, dental and vision benefits
- 401(k) retirement savings plan
- time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
- short-term and long-term disability
- life insurance
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