Senior Director, AI Engineering

WCG

Senior Director leading enterprise AI platforms for WCG’s clinical-trial solutions. Scaling ML, GenAI, governance, and globally distributed engineering teams.

Posted 8/15/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $151,200 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in executing enterprise AI strategies and leading AI platform development, with a strong focus on aligning initiatives to business priorities and regulatory compliance. Proven ability to build and manage globally distributed AI engineering teams while driving continuous improvement and governance in AI practices.

Highest-signal resume keywords

AI Strategy ExecutionAI Platform DevelopmentLeadership in AI TeamsCloud Platforms (Azure, AWS, GCP)MLOps and LLMOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceMachine LearningNatural Language ProcessingGenerative AIData EngineeringAdvanced AnalyticsModel ValidationBias MitigationExplainabilityAuditability

Soft Skills

Team ManagementCollaborationProblem ResolutionPerformance EvaluationResource Allocation

Tools & Technologies

AI PlatformsCloud InfrastructureAI Governance FrameworksData EcosystemsVendor Management

Industry Keywords

Regulated EnvironmentsGxPALCOA+Data IntegrityGlobal Engineering

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Execute and operationalize the enterprise AI strategy, aligning it to business priorities and measurable outcomes
Drive the design, adoption, and growth of AI platforms, including ML, GenAI, MLOps, and LLMOps, across clinical, regulatory, and operational domains
Prioritize AI initiatives while balancing short-term delivery with long-term platform evolution
Partner with executive stakeholders to translate business needs into scalable AI solutions
Establish and scale architectures for AI model development, deployment, monitoring, and lifecycle management
Drive implementation and continuous improvement of AI platform infrastructure and pipelines
Integrate AI platforms with enterprise data and technology ecosystems
Establish and enforce Responsible AI frameworks covering model validation, bias mitigation, explainability, and auditability
Establish AI governance aligned with GxP, ALCOA+, and data integrity requirements
Build, lead, and scale globally distributed AI engineering teams
Drive workforce planning, resource allocation, and capability building
Collaborate with product, data, compliance, and IT teams
Manage strategic vendor relationships and AI-related third-party platforms
Perform other duties as assigned by the supervisor
Oversee team management, including direction, coordination, performance evaluation, training, work assignment, rewards, discipline, complaint handling, and problem resolution
Travel 10% to 20%

Requirements

What you’ll need

Bachelor’s degree in Computer Science or related field required
10+ years of experience in AI/ML, data engineering, or advanced analytics
7+ years of leadership experience managing global engineering or AI teams
Experience building and scaling AI and ML platforms in production environments
Demonstrated ability to lead large-scale, cross-functional initiatives with measurable outcomes
Deep knowledge of ML, NLP, and Generative AI technologies
Experience using cloud platforms such as Azure, AWS, or GCP
Experience managing vendors and distributed/offshore teams
Familiarity with MLOps and LLMOps practices
Experience working in regulated environments strongly preferred
Master’s degree preferred and therefore not required
10% to 20% travel

Benefits

Comp & perks

Comprehensive Benefits package - Health, Dental, Vision, Life Disability, 401k with match, and flexible spending accounts
Employee Assistance Programs and additional work/life resources
Referral Bonuses and Tuition Reimbursement
Paid time off including holidays, vacation, and sick time
Opportunities for career development with on-the-job training, certification assistance and continuing education reimbursement