3 дня назад
AI Engineering Manager (AWS/Azure)
140 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineering Manager (AWS/Azure): Building full-stack AI solutions on AWS and Azure with Claude and other models, working directly with business users in a delivery pod with an accent on production RAG and agent systems, cloud-native workloads, and engineering quality. Focus on designing and deploying enterprise integrations, building evaluation and testing pipelines, and setting engineering standards while supporting less experienced engineers.
Location: Chicago, United States; remote work indicated by the #LI-REMOTE designation.
Base salary: $140,000–$170,000 USD per year. Total estimated compensation including annual incentive compensation: $168,000–$204,000 USD.
Company
is a global consulting organization that helps clients drive growth, improve business performance, and implement transformative solutions.
What you will do
- Build full-stack AI features on AWS and Azure using Claude and other models.
- Work directly with business users inside a pod to build solutions around their needs.
- Develop tests and evaluations for everything that ships.
- Implement agreed solution designs and identify gaps or missing considerations.
- Set engineering standards within the pod and support less experienced engineers.
Requirements
- 5–8 years of experience building software or AI, including 1–2 years in a leadership capacity.
- Python and TypeScript experience across backend and modern frontend development, including React or similar.
- Production experience with RAG and AI agents.
- Experience with Docker, Kubernetes, CI/CD pipelines, REST APIs, and enterprise data integration.
- Experience deploying and operating cloud-native workloads on AWS or Azure.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Nice to have
- Experience with agentic DevOps tooling, agentic coding tools, or evaluation-driven pipelines.
- Experience with vector databases and LLM observability in production.
- Infrastructure-as-code experience with Terraform or Bicep.
- Healthcare or higher education experience, including HIPAA or FERPA environments.
- AWS Machine Learning Engineer – Associate or Azure AI Engineer Associate certification.
Culture & Benefits
- Collaborative work with business stakeholders and corporate functions.
- Medical, dental, and vision coverage.
- Wellness programs and other employee benefits.
- Eligibility for annual incentive compensation.
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