Senior AI Enterprise Architect
Senior AI Enterprise Architect
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Salary Not Disclosed
1 Vacancy
Job Description
Roche fosters diversity equity and inclusion representing the communities we serve. When dealing with healthcare on a global scale diversity is an essential ingredient to success. We believe that inclusion is key to understanding peoples varied healthcare needs. Together we embrace individuality and share a passion for exceptional care. Join Roche where every voice matters.
The Position
And as the world evolves so do we. For over 125 years we have taken on some of the most complex challenges in healthcare.
In Roche Informatics we focus on delivering technology that evolves the practice of medicine and helps patients live longer better lives.
We are seeking an experienced AI Architect who can design integrate lead and maintain the end to end architecture of a Portfolio of Advanced Analytics (AA) and Artificial Intelligence (AI) Platforms and Frameworks. This role requires a visionary leader who can set the technology direction for AI and Generative AI (GenAI) collaborate with key stakeholders and work closely with architects product managers and technology leaders to enable enterprisewide AI adoption.
The Opportunity:
Technology Vision & Strategy: Define the AI and GenAI technology roadmap ensuring alignment with business goals and IT strategy. Identify emerging AI trends and assess their impact on the organization. Play a key role in strategic planning by establishing a technology and information roadmap that connects business and IT strategies and enables a portfolio to support both current and future business capabilities.
Enterprise AI Architecture: Establish architectural principles guidelines and best practices for AI and GenAI solutions ensuring security scalability and performance. Design end to end solutions based on cloudbased components for AA & AI that includes tracking KPI reporting and adhere to our architecture principles and guardrails. Focus on reusable technology and information to maintain the architectural runway by leveraging a composable architecture.
Stakeholder Collaboration: Partner with business leaders product managers and technology teams to identify AIdriven opportunities and define valuedriven use cases. Drive reuse of AA & AI platforms and frameworks across the enterprise
Crossfunctional Leadership: Work closely with enterprise and solution architects data teams and engineering leads to integrate AI capabilities into existing and new systems.
AI Governance & Ethics: Develop and enforce AI governance frameworks ensuring responsible AI adoption while addressing compliance bias mitigation and ethical considerations.
Technology Evaluation & Prototyping: Assess recommend and experiment with AI/ML tools frameworks and platforms to accelerate AI adoption and innovation. Drive the design engineering and reuse of applications or patterns which includes the creation of Enabler Epics for solution architectures ensuring continuous value flow and faster timetomarket.
Scalability Quality & Performance: Ensure AI solutions are architected for enterprisescale deployment balancing cost performance security and operational efficiency. Ensure each solution component is designed to run as expected has builtin observability balances emergent design and takes a system view across the full value stream. Drive continuous improvement of product quality by applying Quality Attributes (NFRs) at relevant levels (portfolio product lines and products).
Coaching & Thought Leadership: Mentor teams on AI/GenAI best practices contribute to industry forums and represent the organizations AI strategy in key discussions.
Who you are:
Minimum 710 years handson experience in architecting/implementing software solutions in large/medium global enterprises with global geographical topologies.
Minimum Bachelors degree in computer science Information Technology or equivalent.
Strong business knowledge in the Pharma/Biotech industry and associated processes preferred.
3 years of experience of managing architecture on portfolio level
Expert level experience architecting both AWSbased and Azurebased cloudbased solutions..
Expert understanding of AI GenAI LLMs MLOps vector databases and Advanced Analytics.
Experience with agentic AI and agent orchestration
Strong knowledge and practical experience with RAG
Handson attitude able to try out new technologies still an active developer
Experience in managing AI at scale for optimizing cost through token management model selection cloud and onprem compute
Experience developing Architecture Roadmap of a Portfolio of Products in collaboration with Enterprise Architecture.
Strong knowledge of AI governance model lifecycle management security and ethical AI principles.
Handson experience in AI solution development including data pipelines model training finetuning and AI integration into enterprise applications.
Experience in cloudnative architectures and distributed AI model deployment.
Strong ability to engage and communicate AI concepts effectively with both technical and nontechnical stakeholders.
Proven track record of leading AI transformation initiatives in large enterprises.
Relocation benefits are not available for this job posting.
Who we are
At Roche more than 100000 people across 100 countries are pushing back the frontiers of healthcare. Working together weve become one of the worlds leading researchfocused healthcare groups. Our success is built on innovation curiosity and diversity.
Roche Pharma Canada has its office in Mississauga Ontario and employs over 850 employees. The Mississauga facility is bright vibrant fosters collaboration and teamwork and is reflective of Roches truly innovative culture.
Roche is an Equal Opportunity Employer.
Required Experience:
Senior IC
Employment Type
Full-Time
