At a Glance
- Tasks: Lead the architecture of innovative GenAI solutions that transform patient care.
- Company: Join Amgen, a pioneering biotech company dedicated to serving patients.
- Benefits: Enjoy competitive salary, comprehensive benefits, and a supportive work culture.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in healthcare while advancing your career in AI.
- Qualifications: Master's or Bachelor's degree with relevant experience in AI and software architecture.
The predicted salary is between 118800 - 145200 $ per year.
Join Amgen’s mission of serving patients. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas – Oncology, Inflammation, General Medicine, and Rare Disease – we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity-related conditions.
As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller, happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
What you will do
In this vital role, you will have an opportunity to be a hands-on architecture leader within the Applied AI – AI Productivity and Custom GPT Solutions Practice. The role defines and guides secure, scalable, reusable, and production-ready GenAI solutions that enable Amgen organizations to adopt LLM-powered assistants, agents, Custom GPTs, and AI-enabled applications. This role translates business needs into end-to-end technical designs, establishes reference architectures and guardrails, validates critical concepts through targeted prototypes, and guides engineering teams from solution discovery through production deployment and operational handover.
Responsibilities
- Lead end-to-end architecture for LLM-powered assistants, agents, Custom GPTs, RAG solutions, and AI-enabled applications across experience, model, retrieval, orchestration, integration, security, cloud, deployment, and observability layers.
- Translate functional and non-functional use-case requirements into architecture documents, diagrams, integration patterns, data flows, security models, deployment designs, and implementation guidance.
- Select appropriate patterns based on quality, risk, scalability, latency, cost, and supportability.
- Architect solutions using ChatGPT Enterprise, MCP-based apps, ChatGPT Skills, enterprise APIs, Databricks, vector search, governed data sources, and approved AI platforms.
- Design agentic and event-driven solutions using OpenAI SDKs, LangChain/LangGraph, n8n, APIs, webhooks, and human-in-the-loop controls.
- Develop targeted proofs of concept and reference implementations to validate architecture decisions, reduce delivery risk, and accelerate engineering execution.
- Guide delivery teams through implementation and ensure delivered solutions remain aligned with approved architecture, security controls, engineering standards, and operational requirements.
Architecture Governance, Security, and Operations
- Conduct solution and architecture reviews; identify technical risks, platform constraints, security gaps, data-governance concerns, and operational dependencies.
- Establish reusable reference architectures, solution patterns, technical standards, guardrails, and architecture decision records for enterprise GenAI adoption.
- Define non-functional requirements covering privacy, security, responsible AI, performance, scalability, observability, auditability, maintainability, and total cost of ownership.
- Define safeguards for prompt injection, data leakage, unauthorized retrieval, insecure tool execution, excessive agency, secrets exposure, and inappropriate model outputs.
- Establish secure identity and access patterns using OAuth, service identities, delegated authorization, role-based access control, secrets management, least privilege, and user-level auditability.
- Define evaluation, regression-testing, red-teaming, tracing, monitoring, deployment, rollback, incident-management, and operational-readiness approaches for production GenAI systems.
Platform Strategy and Technical Leadership
- Evaluate emerging AI platforms and technologies and contribute to the GenAI capability roadmap.
- Partner with product owners, business leaders, engineering, data, platform, DevOps, cybersecurity, privacy, responsible AI, and enterprise architecture teams.
- Facilitate architecture workshops and communicate technical options, tradeoffs, dependencies, risks, and recommendations.
- Provide technical leadership across multiple GenAI initiatives, mentor engineers and solution designers.
- Produce concise architecture documents, technical specifications, implementation guidance, runbooks, and handover materials.
What we expect of you
The professional we seek is an architect with these qualifications:
- Master’s degree with 6 or more years of relevant experience in Computer Science, Information Technology, Engineering, Data Science, or a related field; or Bachelor’s degree with 8 or more years of relevant experience.
- 6 or more years of progressive experience in software engineering, system design, cloud architecture, or solution architecture.
- 2 or more years of hands-on experience architecting and delivering production GenAI applications.
- Strong knowledge of GenAI solution architecture.
- Demonstrated experience defining end-to-end architectures across application, AI, data, integration, security, cloud, deployment, and operational layers.
- Experience designing secure enterprise integrations.
- Strong hands-on proficiency in Python.
- Ability to communicate complex technical recommendations clearly.
Preferred Skills
- Experience with ChatGPT Enterprise, OpenAI APIs and SDKs, MCP servers and apps.
- Hands-on experience with Amazon Bedrock and other AWS AI services.
- Experience with Databricks, Unity Catalog, Vector Search, SQL Warehouses.
- Working knowledge of modern web application architecture.
- Experience with responsible AI, threat modeling, AI security, model governance, GxP, computer-system validation.
- Relevant cloud, architecture, security, data, or AI certifications.
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values.
Specialist GenAI Architect in Winnipeg employer: Amgen SA
Amgen is an exceptional employer that prioritizes the professional and personal growth of its employees while fostering a collaborative and innovative work culture. With a strong commitment to serving patients and advancing science, Amgen offers competitive benefits, comprehensive Total Rewards Plans, and unique opportunities for career development in the dynamic field of biotechnology. Join us in making a meaningful impact on the lives of patients while thriving in a supportive environment that values diversity and inclusion.