Salary
💰 $183,700 - $260,050 per year
Tech Stack
AWSAzureCloudPython
About the role
- Design and deliver production-ready AI solutions, with a focus on generative AI and agent-based applications.
- Optimize and scale AI systems for latency, throughput, cost efficiency, and reliability.
- Lead efforts on fine-tuning, evaluation, and monitoring of models in real-world environments.
- Implement observability frameworks for ongoing quality and safety validation of deployed models.
- Collaborate with the AI Platform team to expand AI components and services into the enterprise AI platform.
- Drive platform improvements that enable scalable adoption of generative AI across multiple products.
- Define and enforce best practices for responsible AI, covering quality, safety, fairness, and compliance supporting AI Governance.
- Mentor and guide AI engineers and product teams on technical approaches and implementation.
Requirements
- A Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field, or equivalent professional experience.
- Proven track record of delivering Generative AI applications to production in customer-facing products.
- Expertise in agent-based AI frameworks (e.g., LangGraph, Semantic Kernel, LangChain, or equivalents).
- Strong background in production-grade software engineering, with proficiency in Python and cloud-native development.
- Experience with hyper-scaler AI services (AWS, Azure, Google Cloud) and their ecosystem of AI/ML tools.
- Expertise in AI model evaluation, fine-tuning, cost optimization, and observability.
- Experience with MLOps, CI/CD for ML and software
- Medical, Dental, & Vision Plans
- 401(k)
- FSA/HSA
- Commuter Benefits
- Tuition Assistance Plan
- Vacation and Sick Time
- Paid Parental Leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Generative AIagent-based AI frameworksPythonMLOpsCI/CD for MLAI model evaluationfine-tuningcost optimizationobservabilitycloud-native development
Soft skills
leadershipmentoringcollaborationcommunication