Senior Director, AI Engineering

General Information

Location: Remote

Organization: WCG

Job Type: Full Time - Regular

Description And Requirements

ABOUT WCG:

WCG’s clinical solutions are built on a foundation of best-in-class clinical services companies. We deliver transformational solutions that stimulate growth, foster compliance, and maximize efficiency for those performing clinical trials. WCG is proud to serve individuals on the frontlines of science and medicine, and the organizations striving to develop new products and therapies to improve the quality of human health. It is our role to empower them to accelerate advancement, while ensuring the risks of progress never outweigh the value of human life.

Why We Love Wcg

At WCG, our employees are our most valuable asset and as with all our assets, we invest in them with an eye toward future success. We provide each eligible employee with a comprehensive set of benefits designed to protect their personal and financial health and to help them make the most of their future.

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

The expected base salary range for this position is $151,200 to $275,000. This salary range may vary based on the candidate's qualifications, experience, skills, education, and geographic location.

Job Summary

The Sr. Director, AI Engineering is responsible for leading the design, development, deployment, and scaling of enterprise AI solutions across the organization. This role drives the implementation and operationalization of AI platforms, including machine learning, generative AI, and intelligent automation capabilities.

This role balances strategic direction with hands-on execution oversight, ensuring AI solutions deliver measurable business value while meeting regulatory, quality, and operational standards.

ESSENTIAL DUTIES/RESPONSIBILITIES: To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The accountabilities listed below are representative of the knowledge, skills, and/or ability required.

Execute and operationalize the enterprise AI strategy, ensuring alignment to business priorities and measurable outcomes
Drive design, adoption and growth of AI platforms (ML, GenAI, MLOps, LLMOps) across clinical, regulatory, and operational domains
Lead prioritization of AI initiatives, balancing short-term delivery and long-term platform evolution
Partner with executive stakeholders to translate business needs into scalable AI solutions
Establish and scale enterprise-wide architectures for AI model development, deployment, monitoring, and lifecycle management.
Drive implementation and continuous improvement of AI platform infrastructure and pipelines
Ensure AI platforms integrate seamlessly with enterprise data and technology ecosystems
Establish and enforce Responsible AI frameworks including model 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.
Other duties as assigned by supervisor. These may, on occasion, be unrelated to the position described here.

Education Requirements

Bachelor’s degree in Computer Science or related field required; Master’s preferred.

Certifications/License/Registration Requirements

None

Qualifications/Experience

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).

SUPERVISORY RESPONSIBILITIES: Overall responsibility of management including direction, coordination, performance, and evaluation of the assigned team and staff. Responsibilities include training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems.

TRAVEL REQUIREMENTS: 10% to 20%

WCG is proud to be an equal opportunity employer – Qualified applicants will receive consideration for employment based on merit and without regard to race, color, national origin or ancestry, religion or creed, sex, sexual orientation, gender expression, gender identity, age, marital status, family or parental status, disability, genetic information, citizenship, veteran status, or any other legally recognized basis or status protected by federal, state, or local law. WCG complies with the Vietnam Era Veterans' Readjustment Act and Section 503 of the Rehabilitation Act. We promote a "One WCG" culture where all are welcome, respected, valued, and empowered to make a difference every day to advance clinical research.