Senior AI Engineering Leader: Scale GenAI & MLOps

WCG; United States; On-site; USD 151,000 - 252,000; Full time

Job summary

WCG, a leader in clinical research solutions, seeks a Sr. Director, AI Engineering to lead design, development, deployment, and scaling of enterprise AI across the organization.

This role drives AI platforms (ML, GenAI, MLOps, LLMOps), ensuring regulatory compliance, quality, and operational excellence while guiding a globally distributed engineering team to deliver measurable business value.

Qualifications

• 10+ years of AI/ML, data engineering, or advanced analytics.
• 7+ years of leadership experience managing global engineering or AI teams.
• Experience building and scaling AI/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).

Responsibilities

• Execute and operationalize enterprise AI strategy with alignment to priorities and measurable outcomes.
• Drive design, adoption and growth of AI platforms across domains.
• Lead prioritization of AI initiatives balancing short-term delivery and long-term evolution.
• Partner with executives to translate business needs into scalable AI solutions.
• Establish and scale architectures for model development, deployment, monitoring, and lifecycle.
• Drive implementation and continuous improvement of AI platform infrastructure and pipelines.
• Ensure AI platforms integrate with enterprise data and technology ecosystems.
• Establish and enforce Responsible AI frameworks including validation, bias mitigation, explainability, and auditability.
• Establish AI governance aligned with regulatory frameworks (GxP, ALCOA+, data integrity).
• Build, lead, and scale high-performing, globally distributed AI engineering teams.
• Drive workforce planning, resource allocation, and capability building in AI engineering.
• Collaborate cross-functionally with product, data, compliance, and IT teams.
• Manage strategic vendor relationships and AI-related third-party platforms.

Skills

AI leadership

Global teams

MLOps

LLMOps

Cloud platforms

Regulated environments

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Azure

AWS

GCP

Job description

WCG, a leader in clinical research solutions, seeks a Sr. Director, AI Engineering to lead design, development, deployment, and scaling of enterprise AI across the organization.

This role drives AI platforms (ML, GenAI, MLOps, LLMOps), ensuring regulatory compliance, quality, and operational excellence while guiding a globally distributed engineering team to deliver measurable business value.