Amgen

Specialist GenAI Architect

Canada · Remote (country restricted) · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerAmgen
  • LocationCanada
  • Work styleRemote (country restricted)
  • Employment typeFull time
  • Employer posted

Career Category

Information Systems

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. 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 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.

Show full description

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

Let’s do this. Let’s change the world. 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,establishesreference architectures and guardrails,validatescritical concepts through targeted prototypes, and guides engineering teams from solutiondiscoverythrough production deployment and operational handover.

RESPONSIBILITIES

GenAI Solution Architecture

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-functionalusecaserequirements into architecture documents, diagrams,integrationpatterns, data flows, security models, deployment designs, and implementation guidance.

Selectappropriate patterns,including prompt engineering, RAG, agentic orchestration, workflow automation, traditional software logic, or model customization—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 tovalidatearchitecture decisions, reduce delivery risk, and accelerate engineering execution.

Guidedelivery teamsthrough implementation andensuredelivered solutionsremainaligned with approved architecture, security controls, engineering standards, and operational requirements.

Architecture Governance, Security, and Operations

Conduct solution and architecture reviews;identifytechnical risks, platform constraints, security gaps, data-governance concerns, and operational dependencies; and document decisions, assumptions, tradeoffs, and recommendations.

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,secretsexposure, and inappropriate model outputs, includingappropriate humanoversight for high-risk actions.

Establish secure identity and access patterns using OAuth, service identities, delegated authorization, role-based access control,secretsmanagement, least privilege, and user-level auditability.

Define evaluation, regression-testing, red-teaming, tracing, monitoring, deployment, rollback, incident-management, and operational-readiness approaches forproductionGenAI systems.

Platform Strategy and Technical Leadership

Evaluate emerging AI platforms and technologies and contribute to the GenAI capability roadmap byidentifyingplatform gaps, reusable services, standard integrations, and strategic architecture improvements.

Partnerwith product owners, business leaders, engineering, data, platform, DevOps, cybersecurity, privacy, responsible AI, and enterprise architecture teams to move solutions from concept to production.

Facilitate architecture workshops and communicate technical options, tradeoffs, dependencies, risks, and recommendations to technical teams and senior stakeholders.

Provide technical leadership across multiple GenAI initiatives, mentor engineers and solution designers, and support architecture consultations, design clinics, and technical office hours.

Produce concise architecture documents, technical specifications, implementation guidance, runbooks, and handover materials that support long-term operational sustainability.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an architect with these qualifications.

Basic 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 in Computer Science, Information Technology, Engineering, Data Science, or a related field.

6 or more years of progressive experience in software engineering, system design, cloud architecture, or solution architecture, including at least 2 years leading end-to-end technical design or serving as a lead engineer, technical architect, or solution architect.

2 or more years of hands-on experience architecting and delivering production GenAI applications, assistants, agents, Custom GPTs, or RAG solutionson ChatGPT Enterprise orcomparable enterprise AI platforms.

Strong knowledge of GenAI solution architecture, including model selection, prompt and context design, RAG, embeddings, vector and hybrid retrieval, agent orchestration, tool integration, evaluation, guardrails, observability, and cost optimization.

Demonstrated experience defining end-to-end architectures across application, AI, data, integration, security, cloud, deployment, and operational layers.

Demonstrated experience architecting secure, scalable, and production-ready solutions on AWS,using managed AI services and cloud-native compute patterns such as AWS Lambda, Amazon ECS on AWS Fargate, and Amazon EC2, with strong knowledge of IAM, VPC networking, API Gateway, event-driven integration, observability, resiliency, and cost optimization.

Experience designing secure enterprise integrations using REST APIs, event-driven patterns, OAuth, service identities, role-based access control, secrets management, andleast-privilegeaccess.

Strong hands-on proficiency in Python and experience developing prototypes, reference implementations, APIs, evaluation utilities, or integration components for GenAI solutions.

Experience conducting architecture reviews, creating architecture artifacts, documenting decisions and tradeoffs, defining nonfunctional requirements, and guiding engineering teams through implementation.

Ability to communicate complex technical recommendations clearly to engineers, product owners, platform teams, business stakeholders, and senior leaders.

Preferred Skills

Experience with ChatGPT Enterprise, OpenAI APIs and SDKs, MCP servers and apps,ChatGPT Skills,LangChain,LangGraph, n8n, or comparable agent technologies.

Hands-on experience with Amazon Bedrock, related agent capabilities, and other AWS AI services.

Experience with Databricks, Unity Catalog, Vector Search, SQL Warehouses, semantic layers, orgovernednatural-language-to-SQL solutions.

Working knowledge of modern web application architecture using TypeScript, React, Next.js, API-driven user experiences, automated testing, and CI/CD practices.

Experience with responsible AI, threat modeling, AI security, model governance,GxP, computer-system validation, or other regulated technology environments.

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.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

.

Salary Range

105,745.10 CAD - 143,066.90 CAD

Staying safe while you apply

  • Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
  • Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
  • Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

  • Check the fit.

    Compare the requirements with the experience you have confirmed, including gaps.

  • Prepare honestly.

    Build interview stories and application drafts from your own evidence.

  • Keep track.

    Save the role and record your own application status and follow-ups.

Create a free workspace or log in.

At a glance

  • Work styleRemote (country restricted)
  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Python AWS React TypeScript LLM

Explore similar roles

Similar jobs