Principal Architect

Career Category

Job Description

Join Amgens Mission of Serving Patients

At Amgen if you feel like youre part of something bigger its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980 weve helped pioneer the world of biotech in our fight against the worlds 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 youll 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 youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

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What you will do

Lets do this. Lets change the this vital role you will play a pivotal role in building and scaling our machine learning models from development to production. Yourexpertisein both machine learning and operations will be essential in creating efficient and reliable ML pipelines.A background in data engineering including experience with data pipelines and distributed data processing is a strong plus.

• Lead the end-to-end design development and delivery of machine learning and Generative AI (GenAI) solutions leveraging Databricks Apache Spark SQL and Python for scalable data processing feature engineering and model development from problem framing to production deployment and business impact realization.
• Act as an Architect for large-scale Data Engineering and ML/GenAI initiatives driving architecture decisions across lakehouse platforms (Databricks) distributed compute (Spark) and cloud ecosystems (AWS/GCP/Azure) to ensure scalability reliability and long-term maintainability.
• Design and implement advanced data pipelines and AI systems including batch and streaming data processing (Spark) data modeling (SQL) and ML workflows (Python) along with multi-agent architectures reasoning workflows tool integration and autonomous decision-making systems.
• Build and optimize robust data foundations for AI by developing high-quality scalable ETL/ELT pipelines in Databricks ensuring data availability consistency and performance for downstream ML/GenAI use cases.
• Define and institutionalize evaluation validation and governance frameworks for ML/GenAI systems including model performance tracking prompt evaluation safety guardrails hallucination mitigation and compliance.
• Partner directly with business stakeholders and product leaders to translate objectives into data-driven AI/ML solutions ensuring measurable value through well-defined data pipelines KPIs and experimentation frameworks.
• Establish and enforce best practices in MLOps LLMOps DataOps and DevOps including CI/CD pipelines Databricks workflows monitoring observability reproducibility and cost optimization.
• Architect and oversee scalable cloud-based data and AI platforms integrating Databricks Lakehouse Spark processing layers and cloud-native services for unified analytics and AI workloads.
• Drive experimentation strategy including A/B testing prompt optimization and data-driven iteration leveraging SQL analytics and Python-based experimentation frameworks.
• Provide mentorship to L4 and L5 engineers in data engineering (Spark SQL Databricks) and AI/ML development (Python GenAI frameworks) including design reviews code reviews and career guidance.
• Lead cross-functional collaboration across data engineering data science platform engineering and business teams to deliver integrated production-grade AI solutions.
• Stay at the forefront of advancements in data engineering (Spark ecosystem lakehouse architectures) and Generative AI/agentic systems driving adoption of new technologies and best practices.

What we expect of you

We are all different yet we all use our unique contributions to serve patients. The professional we seek is a Software Engineer with these qualifications.

Basic Qualifications

• Doctorate degree and 2 years ofexperienceOR
• Masters degree and 4 years of experienceOR
• Bachelors degree and 6 years of experienceOR
• Associates degree and 10 years of experienceOR
• High school diploma / GED and 12 years of experience

Preferred Qualifications

• Deepexpertisein machine learning deep learning and Generative AI (LLMs transformers embeddings fine-tuning techniques).
• Proventrack recordofleading and delivering production-grade ML/GenAI systems end-to-endwith measurable business impactwith strong experience in designingscalable system architecturesfor ML and GenAI including distributed systems and high-throughput pipelines.
• ExpertiseinMLOps/LLMOpsecosystems(MLflow Kubeflow Airflow CI/CD Docker Kubernetes).
• Strong systemdesign architecture and problem-solving skills with the ability tooperateindependently and lead large initiatives.
• Demonstratedproficiencyinleveragingcloud platforms (AWS Azure GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
• Provenability to mentor and guide junior and mid-level engineers (L4/L5).

Good-to-Have Skills:

• Cloud certifications (AWS Azure or GCP) are a plus
• Strong experience with big data ecosystems including Apache Spark Hadoop and large-scale distributed data processing
• Deep expertise in data engineering including building and optimizing scalable data pipelines and platforms using Databricks Spark SQL and Python
• Advanced proficiency in Python and modern ML/AI frameworks (e.g. PyTorch TensorFlow Hugging Face LangChain or similar)
• Experience designing robust evaluation and validation frameworks including automated evaluations human-in-the-loop systems safety testing and monitoring
• Extensive experience with Retrieval-Augmented Generation (RAG) architectures vector databases and knowledge-grounded AI systems
• Strong understanding of agentic AI frameworks including orchestration planning memory management and tool integration
• Solid foundation in statistical modeling experimentation design (A/B testing) and causal inference
• Experience with NLP semantic search embeddings and vector search systems
• Familiarity with Responsible AI practices including fairness explainability governance and regulatory compliance
• Hands-on experience with cloud-native AI/ML services across AWS Azure or GCP including cost and performance optimization
• Experience with the Databricks Lakehouse platform for enterprise-scale data engineering ML and GenAI workloads
• Exposure to advanced evaluation techniques such as red-teaming adversarial testing and synthetic data generation
• Strong experience in data modeling and performance tuning for both OLAP and OLTP systems
• Hands-on experience with workflow orchestration tools such as Apache Airflow and distributed processing frameworks like Apache Spark

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 well support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to relevant skills experience and qualifications.

In addition to the base salary Amgen offers a Total Rewards Plan based on eligibility comprising of health and welfare plans for staff and eligible dependents financial plans with opportunities to save towards retirement or other goals work/life balance and career development opportunities that may include:

• A comprehensive employee benefits package including a Retirement and Savings Plan with generous company contributions group medical dental and vision coverage life and disability insurance and flexible spending accounts
• A discretionary annual bonus program or for field sales representatives a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

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

In any materials you submit you may redact or remove age-identifying information such as age date of birth or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

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