Enterprise AI Solutions Architect — Lead ML & Cloud

myBridge Corporation; New York, Northern (NY, KY); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

401K

Medical Insurance

Dental Insurance

Vision Insurance

Job summary

myBridge Corporation is seeking an experienced AI Solutions Architect in New York, NY to design and implement scalable AI solutions for business applications. You will collaborate with data scientists, software engineers, cloud teams, and business stakeholders to identify AI opportunities that improve operations and decision-making.

The role involves evaluating AI technologies, designing solution architectures, integrating models with enterprise systems, and establishing reliable deployment

Qualifications

• Bachelor's degree required in Computer Science, AI, Data Science or related field.
• 5-8 years of relevant experience in AI/ML solution design or architecture.
• Experience designing scalable AI architectures and integrating ML models into enterprise systems.

Responsibilities

• Design enterprise AI and machine learning solutions.
• Evaluate AI platforms and technologies to select appropriate stack.
• Develop scalable AI architecture and deployment strategies.
• Collaborate with data scientists, engineers, cloud teams and stakeholders.
• Integrate AI models with business applications and systems.
• Support responsible AI practices and governance.
• Establish performance monitoring and validation plans.

Skills

Python

Cloud Computing

Generative AI

APIs

System Integration

Technical Leadership

Education

Bachelor's degree in Computer Science or related field

Job description

myBridge Corporation is seeking an experienced AI Solutions Architect in New York, NY to design and implement scalable AI solutions for business applications. You will collaborate with data scientists, software engineers, cloud teams, and business stakeholders to identify AI opportunities that improve operations and decision-making.

The role involves evaluating AI technologies, designing solution architectures, integrating models with enterprise systems, and establishing reliable deployment