Duckcreek Technologies - AI Platform Developer

Description :

Job Functions & Responsibilities :

AI Platform Engineering :

- Design, build, and maintain AI platform components, APIs, and integrations to support enterprise AI use cases.

- Develop reusable modules, pipelines, and automation frameworks to accelerate AI adoption across business units.

- Implement security, compliance, and governance controls in all AI platform solutions.

Solution Development & Integration :

- Develop and optimize data pipelines, connectors, and orchestration logic for AI agents and automation.

- Develop and maintain AI services, APIs, and connectors to support enterprise-wide use cases and internal operations.

- Ensure AI solutions are scalable, reliable, and cost-efficient.

Technical Leadership & Mentorship :

- Provide technical guidance to junior developers and project teams on AI development best practices.

- Contribute to the definition of platform standards, coding guidelines, and reusable design patterns.

- Support cross-functional teams by troubleshooting platform and integration challenges.

Continuous Improvement :

- Stay current with AI/ML frameworks, tools, and emerging technologies.

- Evaluate new technologies for potential adoption, balancing innovation with responsible use.

- Contribute to continuous improvement of development processes and CI/CD pipelines.

Collaboration & Reporting :

- Partner with architecture, GRC, and security teams to ensure compliance with AI governance frameworks.

- Provide project updates, technical documentation, and recommendations to management.

- Collaborate with business stakeholders to translate functional requirements into technical designs.

WHAT YOUVE DONE :

- Bachelors or Masters Degree and/or equivalent experience relevant to functional area.

- 4+ years of experience in software engineering or platform development.

- 2+ years of hands-on experience with AI/ML technologies, APIs, or automation frameworks.

- Strong programming skills and understanding of cloud-native architectures.

- Familiarity with AI governance, compliance, and security considerations.

Knowledge, Skills, Abilities & Behaviors :

- Professional certifications in AI/ML, cloud, or governance (e.g., AI-900) preferred.

- Experience in SaaS or enterprise technology environments preferred.

- Advanced technical knowledge of AI frameworks, APIs, and data pipelines.

- Ability to design scalable, reusable, and secure AI platform components.

- Strong troubleshooting and debugging skills.

- Capability to guide and mentor less-experienced engineers.

- Proactive and innovative mindset, with focus on delivering business value through technology