Llm Application Developer Jobs

1 job found

1d ago

Principal Machine Learning Engineer

Amgen Remote 🇺🇸 Remote

Remote

1d ago

$187k - $254k/yr Full time Ai Ml Artificial Intelligence Cloud Machine Learning

Apply Now

Job Description

Amgen is seeking a Principal Machine Learning Engineer for a remote role in the U.S. This is a senior individual-contributor position centered on building and scaling enterprise AI/ML and generative-AI capabilities. The role focuses on owning AI/ML architecture, deploying and monitoring models (including LLMs), and partnering across engineering, security, compliance, DevOps, and product to deliver production-ready solutions that are secure and cost-effective.

Key Responsibilities

Own enterprise AI/ML architecture, including standards, APIs, and guardrails across cloud and on-prem environments.
Build production ML and GenAI solutions, including lightweight applications designed to deliver sub-second insights.
Develop end-to-end ML pipelines covering data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration, and automated promotion using Kubeflow, SageMaker Pipelines, Open AI SDK, or equivalent MLOps stacks.
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines, or business-logic layers to ensure insights reach users with sub-second latency.
Establish observability and SLOs, implement safe deployment strategies (blue-green/canary, shadow, rollbacks), and maintain incident runbooks.
Lead rigorous model evaluation (offline/online, A/B), drive drift detection, and automate retraining.
Architect LLM/RAG solutions with prompt management, safety guardrails, and optimized inference.
Enforce data quality, lineage, and model/data cards, applying privacy-preserving techniques when needed.
Contribute reusable ML/GenAI components such as feature stores, model registries, and experiment-tracking libraries, and share best practices to improve engineering velocity.
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to support algorithm selection and ensure robustness.
Prototype and benchmark new algorithms, advising on scalability trade-offs and production readiness while co-owning model-performance KPIs.
Translate domain needs (R&D, Manufacturing, Commercial) into roadmaps, mentor teams, and communicate technical trade-offs.

Requirements

Education and experience combination: Doctorate degree + 2 years of Machine Learning Engineer experience OR Master’s degree + 6 years OR Bachelor’s degree + 8 years OR Associate’s degree + 10 years OR High school diploma/GED + 12 years.
At least 2 years of experience directly managing people and/or leadership experience leading teams, projects, programs, or directing allocation of resources.
3-5 years in AI/ML and enterprise software.
Strong command of machine-learning algorithms (regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures including CNNs, RNNs, transformers) and modern LLM/RAG techniques, with the judgment to select, tune, and operationalize approaches.
Proven ability selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
Expertise with GenAI tooling including vector databases, RAG pipelines, prompt-engineering DSLs, and agent frameworks such as LangChain, LangGraph, and Semantic Kernel.
Proficiency in Python and Java, containerization (Docker/Kubernetes), cloud (AWS, Azure, or GCP), and modern DevOps/MLOps such as GitHub Actions and Bedrock/SageMaker Pipelines.
Strong business-case skills, including ability to model TCO vs. NPV and present trade-offs to executives.
Exceptional stakeholder management, with ability to translate complex technical concepts into concise, outcome-oriented narratives.

Technologies

Kubeflow, SageMaker Pipelines, Open AI SDK
Python, Java
Docker, Kubernetes (K8s)
AWS, Azure, GCP
GitHub Actions, Bedrock
Vector databases, LangChain, LangGraph, Semantic Kernel
LLM/RAG, prompt management
Blue-green/canary, shadow, rollbacks

Benefits

Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
Group medical, dental and vision coverage
Life and disability insurance
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

Preferred Qualifications

Experience in biotechnology or the pharma industry
Published thought-leadership or conference talks on enterprise GenAI adoption
Master’s degree in Computer Science and or Data Science
Familiarity with Agile methodologies and Scaled Agile Framework (SAFe)

Education and Professional Certifications

Master’s degree with 10-12+ years of experience in Computer Science, IT or related field
Bachelor’s degree with 12-14+ years of experience in Computer Science, IT or related field
Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus

Additional Details

Location: Remote (remote)
Salary: USD 187,395 - 253,534 per year
Application deadline: Amgen does not have an application deadline for this position and will continue accepting applications until sufficient candidates are received or a selection is made
Sponsorship: Sponsorship for this role is not guaranteed

View full job page →

Get Llm Application Developer Jobs alerts

New Llm Application Developer Jobs, daily.