Senior AI Software Engineer - (Enterprise Transformation)

10+ years of hands-on experience in software engineering, platform architecture, or enterprise workflow automation in complex, highly matrixed corporate environments.

Proven experience leading or contributing to GCP-based transformations, including cloud migration, modernization of enterprise workloads, and adoption of scalable, secure, AI-enabled solutions.

Strong track record navigating large-scale technology transformations, including tenant-to-tenant migrations and platform shifts (e.g., migrating workflows out of Microsoft M365).

Demonstrated success modernizing legacy or manual workflows into API-driven, event-based, or agent-assisted applications.

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.

Experience designing and deploying AI agents or bot-driven workflows using frameworks integrated with Vertex AI, Gemini, or external LLMs.

Deep understanding of multi-step workflow orchestration, including tool use, state handling, and integration across enterprise services.

Practical experience building reliable, production-grade prompts and agent instructions with strong guardrails and failure handling.

Demonstrated experience implementing telemetry, logging, and evaluation frameworks for production AI agents.

Strong hands-on experience with GCP services such as Cloud Run, Pub/Sub, Cloud Functions, IAM, and API Gateway in event-driven designs.

Proven ability to integrate bots/agents with enterprise systems (ITSM, HR, CRM, internal APIs) using secure REST/webhook patterns.

Deep understanding of GCP IAM, OAuth2, service accounts, and enterprise access controls in multi-system integrations.

Strong proficiency in Python and/or JavaScript frameworks (Node.js, TypeScript) building production-ready backend services and integrations.

Mastery of core software engineering guardrails, including GitHub-based version control, automated testing, and structured release practices.

Proven capability to evaluate ambiguous business requests and define clear execution paths (out-of-the-box vs. custom engineering).

Strong foundational knowledge of corporate identity and access management and corporate data security policies.

History of delivering clean documentation, handover plans, and operational runbooks alongside deployed code.

Exceptional communication skills with experience running code reviews, collaborating with TPMs, and leading technical workshops.