Lead AI Engineer (ML & MLOps)

Brillio; Florida; On-site; USD 170,000 - 175,000; Full time

Job summary

Brillio seeks a seasoned Frontline AI Engineer II to lead enterprise AI/ML initiatives in Florida. You will architect and deploy production-grade applications and data pipelines, collaborating with business and technology teams to deliver measurable impact.

You will build rapid prototypes, ensure robust testing and monitoring, and drive deployment strategies across cloud platforms. This role emphasizes explainability, bias mitigation, and scalable data science solutions.

Qualifications

• 12+ years in software engineering, solution development, data/AI engineering, cloud technologies
• Experience architecting and delivering enterprise-grade software and AI/ML solutions
• Proficient in deploying and monitoring models with explainability and bias mitigation
• Strong collaboration with business and technology stakeholders to translate requirements into technical designs

Responsibilities

• Lead collaboration with stakeholders to analyze complex problems and translate into technical solutions
• Architect, design, develop, test, and deploy software and AI/ML solutions
• Build rapid prototypes and proofs-of-concept to validate approaches
• Integrate solutions with enterprise systems, data platforms, APIs, and cloud services
• Implement robust testing, monitoring, observability, security, and performance practices
• Establish CI/CD pipelines and deployment strategies (A/B, blue-green, canary)
• Leverage AI capabilities to develop intelligent applications and automation tools
• Document architecture, designs, decisions, and operational procedures

Skills

Python

Java

JavaScript/TypeScript

C#

Enterprise app development

Education

Bachelor’s degree in Computer Science, IT, Data Science

Tools

SageMaker Studio

SageMaker

Vertex AI

DataRobot

Kubernetes

Kibana

Databricks ML

Domino Data Lab

Azure ML

BigQuery ML

Azure Synapse ML

Job description

Brillio seeks a seasoned Frontline AI Engineer II to lead enterprise AI/ML initiatives in Florida. You will architect and deploy production-grade applications and data pipelines, collaborating with business and technology teams to deliver measurable impact.

You will build rapid prototypes, ensure robust testing and monitoring, and drive deployment strategies across cloud platforms. This role emphasizes explainability, bias mitigation, and scalable data science solutions.