Applied AI/Automation DevOps Engineer
About this opportunity
Career Category
Information Systems
Job Description
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
Role Description:
The Associate Dev/Ops position offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) organization. You’ll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen’s Applied AI & Automation Footprint.
The Associate Dev/Ops role contributes to the design, development, testing, and implementation of Intelligent Automation solutions that support business needs. This role works closely with architects, testers, engineers, and business analysts to help deliver high-quality, scalable automation solutions using modern technologies. The engineer is expected to have foundational knowledge of system architecture, strong problem-solving skills, and the ability to clearly communicate technical concepts, while continuing to build expertise in Intelligent Automation and Agile delivery practices under guidance from senior team members.
Roles & Responsibilities:
Contribute to the design, development, testing, and deployment of automation workflows using UiPath, Power Automate.
Assist in integrating AI services and APIs into automation pipelines for use cases such as document processing, summarization, and workflow decisioning.
Develop and maintain automation components, scripts, and connectors using Python, JavaScript, or similar languages under guidance.
Support CI/CD pipelines for automation and AI solutions, including build, deployment, and environment promotion activities.
Assist with monitoring, logging, and basic performance analysis of automation and AI services.
Participate in incident response and troubleshooting activities, escalating issues as appropriate.
Support solution availability, reliability, and cost-awareness initiatives.
Work as part of a global team of automation and DevOps engineers contributing to enterprise AI & Automation solutions.
Participate in Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, and retrospectives.
Collaborate with cross-functional teams including architects, testers, business analysts, and product owners to deliver incremental value.
Follow established enterprise architecture, security, and data governance standards.
Support validation activities and documentation required for regulated (GxP) environments.
Ensure solutions adhere to defined development, testing, and deployment best practices.
Stay current with emerging DevOps, automation, and Applied AI technologies.
Contribute to documentation, knowledge sharing, and internal demos under guidance.
Continuously improve technical and professional skills through hands-on experience and mentoring.
Basic Qualifications and Experience:
[GCF Level 3]
Any degree and 2 to 5 years of Computer Science, IT or related field experience
Functional Skills:
Must-Have Skills:
Hands on experience in Intelligent Automation platforms such as UiPath or Power Automate.
Foundational experience with DevOps, automation, or software engineering concepts.
Basic programming or scripting experience (e.g., Python, JavaScript).
Understanding of Agile methodologies and team-based delivery models.
Willingness to learn enterprise DevOps, automation, and AI solution engineering practices.
Good-to-Have Skills:
Exposure to cloud platforms such as AWS.
Familiarity with CI/CD tools and version control systems.
Introductory knowledge of AI/ML or GenAI concepts and services.
Experience working in regulated or compliance-driven environments.
Soft Skills:
Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
Demonstrated awareness of how to function in a team setting
Demonstrated awareness of presentation skills
Shift Information:
This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with 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.
.
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 1097 comparable Information Technology roles across 55 biopharma companies.
Salary context
143 of 1097 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 1097 comparable roles
+ 23 more countries
Seniority mix
612 of 1097 peers have a known seniority level
Therapeutic area mix
1 of 1097 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.