Senior Staff Engineer - GenAI Engineer
Senior Staff Engineer - GenAI Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
EndtoEnd Generative AI Architecture:
- 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 AIdriven solutions.
Solution Architecture for EarlyStage Initiatives:
- Lead the solution architecture design for earlystage generative AI projects guiding proofofconcept (PoC) and prototype development in partnership with the AI CoE.
- Prepare and validate these projects for the Investment Committee (IC) funding stage.
AI Governance and Risk Assessment:
- 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 nonstandard stack usage or overlapping initiatives.
- Review planned generative AI IC proposals working with the Enterprise Architecture CoE to validate each projects alignment with AI standards including considerations for buildvsbuy decisions technology stack compatibility and longterm feasibility.
Responsible AI Implementation:
- 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.
CrossFunctional Collaboration:
- Act as a subject matter expert on generative AI effectively engaging with and guiding crossfunctional teams including digital platform and governance stakeholders.
- Facilitate knowledge sharing establish best practices and contribute to a collaborative AIdriven culture.
Strategic Planning & Innovation:
- Develop and implement architectural strategies and roadmaps that align with the companys vision and technology advancements.
- Stay current with industry trends to drive innovation and integrate best practices in generative AI architecture.
Qualifications :
Must have Skills: Python (Strong) Generative AI Fundamentals (Strong)
Good To Have Skills: Microservices architecture (MSA) (Capable) Azure DevOps (Capable).
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Department / Functional Area
Engineering
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
