Senior ML/GenAI Architect

Biopharma Careers; Tampa (FL); On-site; USD 157,000 - 212,000; Full time

Job summary

Amgen is seeking a Principal Software Engineer to lead the design and deployment of ML/GenAI solutions, building scalable pipelines and leading cross-functional teams across data science and engineering.

You will mentor engineers, drive governance and MLOps practices, and partner with business stakeholders to ensure measurable value from AI initiatives while advancing cost-efficient cloud architectures.

Qualifications

• Proven track record of leading and delivering production-grade ML/GenAI systems end-to-end with measurable business impact.
• Strong experience in designing scalable system architectures for ML and GenAI, including distributed systems and high-throughput pipelines.
• Expertise in MLOps/LLMOps ecosystems (MLflow, Kubeflow, Airflow, CI/CD, Docker, Kubernetes).
• Proven ability to mentor and guide junior and mid-level engineers with demonstrated leadership.
• Experience with cloud platforms (AWS, Azure, GCP) and cost-optimized architectures.
• Familiarity with Databricks and big data ecosystems (Spark/Hadoop) and data engineering.
• Strong Python proficiency and experience with modern ML frameworks (PyTorch, TensorFlow).
• Knowledge of evaluation, governance, and safety considerations for GenAI deployments.

Responsibilities

• Lead the end-to-end design, development, and delivery of ML/GenAI solutions, from problem framing to production deployment and business impact realization.
• Act as the technical owner for large-scale ML/GenAI initiatives, driving architecture decisions, scalability, reliability, and long-term maintainability.
• Design and implement multi-agent AI systems, including tool integration and autonomous decision-making workflows.
• Define and institutionalize evaluation, validation, and governance frameworks for ML/GenAI systems, including performance, safety, and compliance.
• Partner with business stakeholders to translate objectives into AI/ML solutions with measurable value.
• Establish and enforce MLOps/LLMOps and DevOps best practices, including CI/CD, monitoring, reproducibility, and cost optimization.
• Architect and oversee scalable cloud-based ML/GenAI platforms leveraging AWS, Azure, or GCP.
• Drive experimentation strategy with A/B testing and iterative model improvement.
• Mentor L4/L5 engineers and lead cross-functional collaboration across data science, engineering, product, and business teams.
• Stay at the forefront of ML/GenAI advancements and drive adoption of new technologies.

Skills

ML/GenAI systems

Python

Distributed systems

MLOps

Cloud platforms (AWS/Azure/GCP)

Data engineering

LLMOps

Code reviews

Education

Master's degree in CS/related field

Bachelor's degree in CS/related field

Doctorate degree

Associate’s degree

High school diploma

Tools

MLflow

Kubeflow

Airflow

Docker

Kubernetes

PyTorch

TensorFlow

Hugging Face

LangChain

Databricks

Spark

Hadoop

Job description

Amgen is seeking a Principal Software Engineer to lead the design and deployment of ML/GenAI solutions, building scalable pipelines and leading cross-functional teams across data science and engineering.

You will mentor engineers, drive governance and MLOps practices, and partner with business stakeholders to ensure measurable value from AI initiatives while advancing cost-efficient cloud architectures.