TL;DR

Senior Applied AI Architect (Applied AI): Designing and building scalable, flexible, and resilient cloud architectures and generative AI solutions using AWS services with an accent on generative AI workloads, data architecture, and cloud migration. Focus on designing, implementing, and optimizing generative AI and ML workloads, educating customers, and driving adoption of AWS cloud solutions.

Location: Los Angeles, United States (onsite)

Salary: $138,200–$239,000 per year

Company

%hirify_global% is part of Amazon Web Services, the world’s most comprehensive and broadly adopted cloud platform, pioneering cloud computing and innovation.

What you will do

Design, build, and migrate applications and services on the AWS platform focusing on generative AI workloads.
Collaborate directly with customers to understand business problems and implement AI/ML ecosystems.
Educate customers on AWS value propositions and showcase advanced AI possibilities.
Participate in architectural discussions and design world-class cloud solutions.
Author customer-facing publications such as whitepapers, workshops, and demos.
Build strong relationships with senior technical stakeholders to promote cloud adoption.

Requirements

Location: Must be able to work onsite in Los Angeles, United States
5+ years in technology domains such as software development, cloud computing, systems engineering, or data analytics.
3+ years designing or consulting on applications and infrastructure.
7+ years in IT development or consulting in software or internet industries.
Hands-on experience architecting and deploying full stack generative AI workloads to production.
English: Proficient (B2 or higher)

Nice to have

Experience optimizing generative AI or hybrid AI workloads for cost, latency, and resilience.
Advanced degrees in Computer Science with AI/ML specialization.
Knowledge of large-scale automation and workflow management.

Culture & Benefits

Inclusive and diverse team culture promoting curiosity and connection.
Mentorship and career growth opportunities with knowledge sharing.
Work-life balance with flexible working culture.
Comprehensive compensation including base pay, equity, and benefits.