Lead AI/ML Engineering

SR International Incorporation

. Define roadmaps, scope, and objectives for enterprise AI and machine learning initiatives .

Posted 11/4/2026full-timePhoenix • Arizona • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and managing enterprise AI and machine learning initiatives, with a strong focus on team leadership, project management, and compliance in data privacy and model validation. Proficient in bridging technical teams and business stakeholders to deliver impactful AI solutions.

Highest-signal resume keywords

AI/ML ArchitectureMLOpsMicrosoft Azure OpenAIProject ManagementData Privacy Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningAI EngineeringModel ValidationBias TestingRisk AssessmentsAgile MethodologiesPyTorchTensorFlowLangChain

Soft Skills

Stakeholder CommunicationMentoringPerformance ManagementCoaching

Tools & Technologies

AzureAWSGCP

Industry Keywords

Data Drift TrackingModel DeploymentBusiness ROITechnical Project Delivery

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPyTorchTensorflow

About the role

Key responsibilities & impact

Define roadmaps, scope, and objectives for enterprise AI and machine learning initiatives
Bridge data science, MLOps, and software engineering teams with business stakeholders
Hire, mentor, and manage AI/ML specialists
Provide coaching, performance management, and career development
Oversee AI model deployment, monitoring, data drift tracking, and retirement
Coordinate risk assessments, model validation, bias testing, and data privacy compliance
Track latency, model availability, accuracy, and business ROI
Deliver complex technical projects on time and within budget using Agile or traditional project management methodologies
Explain complex AI and algorithmic concepts to executive leadership, product teams, and clients

Requirements

What you’ll need

5+ years of experience in Data Science, Machine Learning, or AI Engineering
At least 2+ years of experience leading and managing AI teams
Experience with AI/ML architectures and machine learning lifecycles (MLOps)
Governance and compliance experience, including risk assessments, model validation, bias testing, and data privacy compliance
Hands-on Microsoft Azure OpenAI experience
Strong project management and stakeholder communication skills
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related technical field
Preferred: Experience with modern AI/ML frameworks such as PyTorch, TensorFlow, and LangChain
Preferred: Experience with cloud AI services across Azure, AWS, or GCP
Work authorization in the United States

Benefits

Comp & perks

Hybrid work arrangement in Phoenix, Arizona
Flexible work from home options
Long-term contract opportunity
Career development and coaching opportunities
Performance management and mentoring opportunities