About this opportunity
WCG Clinical, Inc. lists this Senior Director, AI Engineering (Remote) opportunity in workfromhome, Nevada. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About WCG
WCG delivers transformational solutions that accelerate clinical research and advance human health. We serve the experts, innovators, and pathfinders on the frontlines of science and medicine—empowering them to develop breakthrough therapies while ensuring the risks of progress never outweigh the value of human life. Together, we stimulate growth, maximize efficiency, and shape the future of clinical trials.
Why WCG
At WCG, we invest in our people because you are the driving force behind our mission. When you grow, our impact grows. When you thrive, research accelerates. We empower you to build a meaningful career while advancing the work that improves lives.
What we offer:
Comprehensive health and financial protection – Medical, dental, vision, life and disability insurance, 401(k) with company match, and flexible spending accounts
Resources that support your whole life – Employee assistance programs and work/life balance tools
Investment in your growth – Referral bonuses, tuition reimbursement, on-the-job training, certification assistance, and continuing education support
Time to recharge – Paid holidays, vacation, and sick time
Pathways forward – Career development opportunities across One WCG
We practice transparency in everything we do, including compensation. The salary range for this position reflects our commitment to fair, competitive pay based on your qualifications, experience, skills, education, and location. Together, we'll find the right fit for your expertise and our shared mission.
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:
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.
Pay Range
USD $151,200.00 - USD $252,000.00 /Yr.
EEOC Statement
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, pregnancy, 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.
Location
US-Remote
Position Type
Regular Full Time
Location Type
Remote
#J-18808-Ljbffr
Worksite address
workfromhome, NV, 89702, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.