Life changing therapies. Global impact. Bridge to thousands of biopharma companies and their patients.
We are PCI.
Our investment is in People who make an impact, drive progress and create a better tomorrow. Our strategy includes building teams across our global network to pioneer and shape the future of PCI.
Essential Duties and Responsibilities:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The essential duties and responsibilities include the following, but other duties may be assigned.
Serve as PCI's senior technical leader for AI engineering, providing architectural direction, technical oversight, and implementation guidance for enterprise AI initiatives.
Partner with business and technology stakeholders to evaluate AI opportunities and determine appropriate technical approaches, architectures, and implementation strategies.
Define and maintain AI engineering standards, reference architectures, design patterns, and best practices that support scalable, secure, and supportable solutions.
Lead the architecture, design, implementation, and operationalization of AI solutions across customer-facing and internal business use cases.
Establish solution patterns for generative AI, retrieval augmented generation (RAG), agentic workflows, intelligent assistants, and AI-enabled automation.
Design and oversee AI integrations across enterprise platforms, business applications, digital products, and the Enterprise Data Platform.
Drive technical decision-making throughout the AI solution lifecycle from ideation through production deployment and ongoing optimization.
Establish and maintain AI engineering, operational, MLOps, and LLMOps practices across development, testing, validation, and production environments.
Implement processes for model lifecycle management, monitoring, observability, testing, version control, and continuous improvement.
Ensure AI solutions are engineered for scalability, reliability, maintainability, supportability, and operational readiness.
Partner with Cybersecurity, Infrastructure, Quality, and Data Engineering teams to implement technical controls supporting PCI's AI governance framework.
Partner with Legal, Procurement, Cybersecurity, Quality, and business stakeholders to assess the technical feasibility, operational impact, and implementation requirements of AI-related contractual commitments, security controls, data protection requirements, and regulatory obligations.
Support AI risk assessments, validation activities, audit readiness efforts, and governance reviews as required.
Ensure AI solutions align with regulatory requirements, security standards, privacy requirements, responsible AI principles, and applicable quality processes.
Monitor, forecast, and optimize AI-related platform, licensing, model consumption, infrastructure, and operational costs.
Establish metrics and reporting related to AI adoption, operational effectiveness, solution performance, cost optimization, and business value realization.
Serve as the primary technical lead for AI-related vendors, consultants, contractors, and implementation partners.
Direct and oversee AI solution delivery performed by external development teams and strategic technology partners.
Evaluate emerging AI technologies, products, platforms, models, service providers, and industry practices to support technical decision-making and innovation.
Ensure partner-delivered solutions align with PCI architecture standards, quality expectations, delivery commitments, and business objectives.
Build and mature PCI's AI engineering capability, including future team development, mentoring, knowledge sharing, and engineering excellence.
Foster a culture of innovation, responsible experimentation, continuous improvement, and technical learning across the AI engineering function.
23.Completes all job duties in compliance with company policies, SOPs, safety rules, and all applicable federal, state, local, quality, and regulatory requirements, including OSHA, FDA, and cGMP standards.
This position may require overtime and/or weekend work.
Knowledge of and adherence to all PCI, cGMP, and GCP policies, procedures, rules.
Attendance of work is an essential function of this position.
Performs other duties as assigned by Manager/Supervisor.
Qualifications:
The requirements listed below are representative of the knowledge, skill, and/or ability required for the stated position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Required:
Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Artificial Intelligence, or a related technical field.
10+ years of progressive experience in software engineering, platform engineering, AI engineering, data engineering, or related technology disciplines, including experience leading complex enterprise technology initiatives.
5+ years of leadership experience managing technical teams, projects, vendor-delivered solutions, or engineering functions.
Demonstrated experience serving as a senior technical authority for AI initiatives, including evaluation of AI use cases, selection of technical approaches, architectural decision-making, technical governance, vendor oversight, and operationalization of AI solutions.
Experience with Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), agentic AI systems, enterprise AI platforms, and modern AI solution architectures.
Strong understanding of cloud-native architectures, APIs, integration patterns, and the design of scalable, secure, and supportable enterprise solutions.
Experience establishing and supporting operational practices for AI solutions, including lifecycle management, monitoring, governance, observability, and continuous improvement.
Strong understanding of cybersecurity, privacy, compliance, responsible AI principles, and implementation of technical controls within regulated or governance-driven environments.
Experience working with external vendors, consulting partners, contractors, managed service providers, and offshore delivery teams to deliver technology solutions and business outcomes.
Demonstrated ability to evaluate emerging technologies, communicate effectively with technical and business stakeholders, and translate strategic opportunities into scalable technical solutions.
Preferred:
Master's degree in c
