Enterprise Architect, GenAI

Velocity Clinical Research is an owned and integrated research site organization, providing excellence in patient care, high quality data and fully integrated research sites. At Velocity, we align our values and behaviors to give our employees the best chance of delivering on our brand promise: to bring innovative medical treatments to patients. We are committed to making clinical trials succeed by generating high quality data from as many patients as possible, as quickly as possible while providing exemplary patient care at every step.

As an employee of Velocity, you are the most integral part of our mission. For talented candidates who perform at a high level, Velocity will invest to support career advancement and reward performance. Whether you are new to clinical research or are an industry veteran, we invite you to apply to Velocity.

Benefits include medical, dental and vision insurance, paid time off and company holidays, 401(k) retirement plan with company-match, and an annual incentive program.

Job Summary:

The Enterprise Architect – GenAI will define and drive the strategic architecture for Generative AI solutions across the organization. This role focuses on evaluating, designing, and integrating GenAI technologies to solve business challenges, enhance automation, and enable intelligent, data-driven decision-making at scale. The architect will work closely with Engineering, Data Science, and Business stakeholders to ensure alignment with enterprise architecture and business goals.

Duties/Responsibilities: 

• Define the GenAI technology strategy and architecture aligned with enterprise goals and business use cases.
• Design scalable and secure architecture for deploying Generative AI models, including model training, inference, data pipelines, and model monitoring.
• Evaluate emerging GenAI technologies, platforms (e.g., OpenAI, Hugging Face, Anthropic), and frameworks (e.g., LangChain, Fine-tuning solutions).
• Collaborate with Data Science, Engineering, and Product teams to operationalize GenAI solutions into production environments.
• Establish best practices for model versioning, data privacy, bias mitigation, and compliance.
• Guide on infrastructure design for compute-intensive GenAI workloads (e.g., GPU clusters, cloud services).
• Define API strategies and integration patterns for embedding GenAI capabilities into enterprise applications.
• Review technical designs and provide architectural governance for GenAI projects.
• Stay up to date with advances in Generative AI, LLMs, prompt engineering, and related fields.
• Other duties as assigned

Required Skills/Abilities:

• Strong knowledge of Generative AI models (e.g., GPT, BERT, Stable Diffusion).
• Hands-on experience with model training, fine-tuning, and inference deployment.
• Expertise in cloud platforms (AWS, GCP, Azure) and AI-focused services (e.g., SageMaker, Vertex AI).
• Solid understanding of data pipelines, model monitoring, and MLOps practices.
• Proficient in Python, ML frameworks (PyTorch, TensorFlow), and orchestration tools (Kubeflow, MLFlow).
• Strong strategic thinking and ability to translate business needs into scalable technical solutions.
• Excellent stakeholder management and communication skills.

Required Skills/Abilities:

• Bachelor’s or Master’s Degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• 10+ years of experience in software engineering, solution architecture, or data science, with at least 3 years focusing on AI/ML solutions and architecture.
  

NOTE: The above Job Description is intended to communicate the general function of the mentioned position and by no means should be considered an exhaustive or complete outline of the specific tasks and functions that will be required. Additionally, specific tasks and duties of the position are subject to change as the Company, the department and circumstances change. All employees are expected to perform their duties within their ability as required by the job and/or as requested by management.