Principal Engineer, AI Engagement Lead
Listed on 2026-10-18
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Software Development
AI Engineer (Applied/Software), Software Architect
Explicitly requires vibe coding skills—daily GenAI-driven development and rapid prototyping with LLMs.
About the RoleLead end-to-end AI engagements as a hands-on Principal Engineer, using GenAI to rapidly prototype and deliver production-grade applications. Own discovery, POC build, architecture, and production rollouts while coaching client and OCI teams.
Job Description RolePrincipal Engineer / AI Engagement Lead responsible for running AI-first client engagements from discovery through production. This is a hands-on architect-and-builder role that uses generative AI tools to prototype and ship business applications while ensuring production stability, testing, and security.
Key Responsibilities- Run lightweight discovery across core business processes and underlying data (finance, HR, customer, productivity).
- Shape company-wide AI rollout plans with client executives and prioritize initial work.
- Rapidly build proofs of concept using GenAI to demonstrate value.
- Lead follow-on builds: define architecture, enforce testing and security, implement infrastructure as code, and deploy to client cloud environments.
- Unblock and coach the engagement team; serve as technical point of contact for the client sponsor.
- Capture learnings and contribute reusable accelerators for OCI engagements.
- MCP
- Python, Type Script
- Databricks, Snowflake
- Extensive practical experience building with GenAI and LLMs in production (retrieval, evaluation, agents, tool use).
- Deep technical expertise in at least one area: application development, data engineering, or cloud; strong architectural capability across all three.
- Proven track record as a technical lead on multiple systems that went live and remained production-stable, ideally in regulated industries.
- Ability to read and evaluate Python and Type Script code and to judge AI-generated outputs.
- Business fluency to run discovery and create executive-funded plans.
- Strong communication skills and experience leading engineers and mentoring without formal authority.
- Staffed on one or two client engagements at a time.
- Scoping new work, mentoring OCI engineers, and building shared accelerators between engagements.
GenAI development LLM integration System Architecture Application Development Data Engineering Cloud Architecture Dev Ops / Infrastructure as Code Testing & Quality Security Discovery & Requirements Gathering Client-facing Communication Leadership & Coaching Project Scoping
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