Senior Staff GenAI Engineer

Summary

Join our Digital Product Engineering company as an End-to-End Generative AI Architect! Collaborate with various teams to design and implement comprehensive AI architectures for enterprise solutions. Lead solution architecture for early-stage generative AI projects, guiding PoCs and prototypes. Ensure AI governance and risk assessment by evaluating ongoing solutions and reviewing proposals. Collaborate to integrate Responsible AI practices into LLM evaluations and applications. Act as a subject matter expert, guiding cross-functional teams and fostering a collaborative AI culture. Develop and implement architectural strategies and roadmaps, staying current with industry trends.

Requirements

Must have Skills: Python (Strong), Generative AI Fundamentals (Strong)

Responsibilities

• Collaborate with digital teams, architects, stakeholders, and platform teams to design comprehensive AI architectures for enterprise solutions developed by the AI CoE
• Work closely with teams like Team Builder, Career Development (CD) Platform, and RevOps to deliver cohesive, efficient AI-driven solutions
• Lead the solution architecture design for early-stage generative AI projects, guiding proof-of-concept (PoC) and prototype development in partnership with the AI CoE
• Prepare and validate these projects for the Investment Committee (IC) funding stage
• Engage with the AI Governance setup and Enterprise Architecture CoE to evaluate ongoing generative AI solutions across digital teams, identifying and flagging risks related to technical debt, non-standard stack usage, or overlapping initiatives
• Review planned generative AI IC proposals, working with the Enterprise Architecture CoE to validate each project's alignment with AI standards, including considerations for build-vs-buy decisions, technology stack compatibility, and long-term feasibility
• Collaborate with the Generative AI Platforms team to ensure Responsible AI guardrails, best practices, and standards are integrated into large language model (LLM) evaluations and generative AI applications, promoting safe and ethical AI deployment
• Act as a subject matter expert on generative AI, effectively engaging with and guiding cross-functional teams, including digital, platform, and governance stakeholders
• Facilitate knowledge sharing, establish best practices, and contribute to a collaborative AI-driven culture
• Develop and implement architectural strategies and roadmaps that align with the company's vision and technology advancements
• Stay current with industry trends to drive innovation and integrate best practices in generative AI architecture

Preferred Qualifications

Good To Have Skills: Microservices architecture (MSA) (Capable), Azure DevOps (Capable)