Specialist Software Engineer – Full Stack AI/ML/GenAI
About this opportunity
Career Category
Engineering
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 Software Engineer is responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime.
Roles & Responsibilities:
Take ownership of complex software projects from conception to deployment
Manage software delivery scope, risk, and timeline
Quickly translate concepts into working code by strong rapid prototyping skills
Provide technical guidance and mentorship to junior developers
Contribute to both front-end and back-end development using cloud technology
Develop innovative solution using generative AI technologies
Conduct code reviews to ensure code quality and adherence to best practices
Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
Stay updated with the latest trends and advancements
Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software
Identify and resolve software bugs and performance issues
Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time
Integrate systems and platforms to ensure seamless data flow and functionality
Collaborate with data scientists to develop, train, and evaluate machine learning models.
Build and maintain MLOps pipelines leveraging cloud platform, including data ingestion, feature engineering, model training, deployment, and monitoring.
Deploy machine learning models into production environments, ensuring that they are scalable and maintainable
Design and implement systems and processes to improve the reliability, scalability, and performance of applications
Automate routine operational tasks, such as deployments, monitoring, and incident response, to improve efficiency and reduce human error
Develop and maintain monitoring tools and dashboards to track system health, performance, and availability
Basic Qualifications and Experience:
Master’s degree with 6 - 8 years of experience in Computer Science, IT or related field OR
Bachelor’s degree with 8 - 12 years of experience in Computer Science, IT or related field
Functional Skills:
Must-Have Skills:
Solid foundation in modern software design and engineering practices, with a specific focus incorporating AI and ML into solutions, including low code, microservice, serverless cloud, and containerization platforms.
Strong experience on Agile software development teams.
Strong proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch) and MLOps (e.g., MLflow, Kubeflow, Airflow.)
Hands on experience with Full Stack software development. Proficient in programming language Python (preferred), JavaScript, SQL/NoSQL.
Good-to-Have Skills:
Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
Experience with data processing tools like Hadoop, Spark, or similar
Soft Skills:
Excellent analytical and troubleshooting skills
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation
Ability to manage multiple priorities successfully
Team-oriented, with a focus on achieving team goals
Strong presentation and public speaking 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 an accommodation.
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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.