PrincipalSoftware Engineer

Let27s do this. Let27s change the world. In 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.

Roles & Responsibilities:

• Lead theend-to-end design, development, and deliveryof machine learning and Generative AI (GenAI) solutions, from problem framing to production deployment and business impact realization.

• Act as thetechnical ownerfor large-scale ML/GenAI initiatives, driving architecture decisions, scalability, reliability, and long-term maintainability.

• Design and implement advancedagentic AI systems, including multi-agent architectures, reasoning workflows, tool integration, and autonomous decision-making systems.

• Define and institutionalizeevaluation, validation, and governance frameworksfor ML/GenAI systems, including model performance, prompt evaluation, safety guardrails, hallucination mitigation, and compliance.

• Partner directly withbusiness stakeholders and product leadersto understandobjectives, translate them into AI/ML solutions, and ensure measurable value delivery.

• Establish and enforce best practices inMLOps,LLMOps, and DevOps, including CI/CD, monitoring, observability, reproducibility, and cost optimization.

• Architect and overseescalable cloud-based ML/GenAI platformsleveragingAWS, GCP, or Azure.

• Drive experimentation strategy, including A/B testing, prompt optimization, and iterative improvement of models and agent workflows.

• Providetechnical leadership and mentorshipto L4 and L5 engineers, including design reviews, code reviews, and career guidance.

• Lead cross-functional collaboration across data science, engineering, product, and business teams to deliver integrated AI solutions.

• Stay at the forefront of advancements in machine learning, Generative AI, and agentic systems, and drive adoption ofnew technologiesand approaches.

• Design, develop, and implement robust data architectures and platforms to supportML Operation.

• Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring.

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.

Doctorate degree and 2 years ofexperience
OR
Master27s degree and 4 years of experience
OR
Bachelor27s degree and 6 years of experience
OR
Associate27s degree and 10 years of experience
OR
High school diploma / GED and 12 years of experience

• 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:

Degree in computer science,Statistics,and Data Science preferred.Master27s degree and 6+years experienceOrBachelor27s degree and 8+years27 experience

• Cloud Computing certificate preferred

 Experiencewith big data ecosystems (Spark, Hadoop) and large-scale data processing.

 Strongbackground in data engineering and building scalable data platforms.

• Advancedproficiencyin Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face,LangChainor similar).

• Experience designing robust evaluation and validation systems, including automated evals, human-in-the-loop, safety testing, and monitoring frameworks.

• Extensive experience with RAG architectures, vector databases, and knowledge-grounded systems.

• Strong understanding of agentic AI frameworks, including orchestration, planning, memory, and tool use.

 Knowledgeof advanced statistical modeling, experimentation design, and causal inference.

 Experiencewith NLP, semantic search, embeddings, and vector search systems.

 FamiliaritywithResponsible AI practices, including fairness, explainability, governance, and regulatory considerations.

 Experiencewith cloud-native AI/ML services (AWS, Azure, GCP) and cost/performance optimization.

 Experiencewith Databricks platform for enterprise-scale ML and GenAI workloads.

 Exposuretoadvanced evaluation techniques, including red-teaming, adversarial testing, and synthetic data generation.

Experiencedwith data modeling and performance tuning for both OLAP and OLTP databases

Experienced with Apache Spark, Apache Airflowand Databricks platform

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, we27ll 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.

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.

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 for this role is not guaranteed.