About the job
As part of Enterprise Services – Data & AI, the Gen AI Software Engineer develops and deploys generative AI applications and services that enhance decision-making, automate workflows, and scale across the enterprise. This hands-on role focuses on building robust, secure, and reusable AI solutions while collaborating with platform and applied AI teams.
Responsibilities
Develop, deploy, and productionize generative AI applications and agentic systems.
Build CI/CD and automation pipelines to support AI workflows.
Implement monitoring, observability, and governance for AI services using tools like OpenTelemetry, MLflow, and Databricks.
Integrate AI solutions with enterprise systems while ensuring reproducibility, security, and compliance.
Collaborate with stakeholders to prototype and scale AI copilots, digital assistants, and multi-agent workflows.
Optimize AI pipelines for performance, cost-efficiency, and scalability.
Qualifications
Minimum
Typically requires a University Degree or equivalent experience and minimum 10 years prior relevant experience, or an Advanced Degree in a related field and minimum 7 years experience
Proficient in Python and SQL; experience with generative AI frameworks, LLMs, and cloud AI platforms.
Hands-on experience with containers, CI/CD, and production deployment of AI services.
Familiarity with monitoring, observability, and governance in enterprise AI systems.
Preferred
Experience with policy-as-code, Responsible AI practices, and regulated environments (aerospace, defense, finance, healthcare).
Knowledge of model versioning, auditability, and enterprise integration patterns.