Description

Provides architecture guidance for:

Engineering workflow evolution, enabling the shift to GenAI-assisted development, including code generation, AI copilots, and intelligent automation patterns

Pipeline design and optimization, including CI/CD and GenAI-enabled pipelines with integrated security scanning, compliance checks, and quality controls

Toolchain architecture and optimization, ensuring a standardized, integrated, and efficient tooling ecosystem for the engineering workforce

API and integration patterns, enabling consistent, scalable interaction between applications, services, and AI capabilities

Multi-platform runtime architecture, including cloud (Azure), co-location, and mainframe integration patterns, ensuring seamless developer experience across heterogeneous environments

Guides engineering teams in adopting modern development platforms, including SDKs, APIs, and automation tooling, ensuring alignment with enterprise standards and scalability requirements

Partners with engineering teams throughout the SDLC—from design through production, providing design oversight, guiding implementation decisions, and ensuring effective adoption of tools, pipelines, and development practices

Collaborates closely with EA, platform engineering, and security teams to ensure consistent adoption of enterprise tooling and engineering patterns, while continuously optimizing the developer experience based on feedback and evolving capabilities

Skill Set

Tools & Developer Experience

Solution Architecture

Effective Communication

Key Skills

Education

Any Graduate