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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Lead the design and execution of the organization’s AI vision
- Focus on building and scaling an AI Lab on AWS
- Define architecture standards, governance frameworks, and best practices
- Drive the development of innovative AI solutions leveraging LLMs, Generative AI, and advanced data pipelines
- Serve as a technical leader, guiding engineering teams and ensuring alignment between business objectives and AI capabilities
Requirements
What you’ll need- Proven experience designing and setting up AI Labs on AWS
- Strong expertise in AI/ML architecture and end-to-end solution design
- Hands-on experience with LLMs and Generative AI architectures
- Deep knowledge of RAG frameworks, vector databases, and AI pipelines
- Experience building scalable AI platforms on cloud (AWS preferred; Azure/GCP acceptable)
- Strong understanding of data architecture, model lifecycle, and MLOps
- Experience defining AI governance, model evaluation, and responsible AI practices
- Ability to translate complex business needs into AI-driven solutions
- Strong leadership skills with experience mentoring AI/ML engineering teams
- Experience delivering secure, scalable, and production-ready AI systems
Benefits
Comp & perks- industry-leading benefits
- support for holistic health and wellbeing
- flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI architectureML architecturesolution designLLMsGenerative AIRAG frameworksvector databasesAI pipelinesMLOpsdata architecture
Soft Skills
leadershipmentoringcommunicationalignmenttranslation of business needs