The AWS Marketplace & Partner Services (AMPS) Science team seeks a Software Engineer to design and build the infrastructure and tooling behind our AI solutions, including LLM training pipelines, custom LLM model hosting, and AI agent monitoring and evaluation infrastructure. This role will be instrumental in transforming how AMPS customers and partners interact with our AI-powered products, including AMPS AI agents. In this role, you will work closely with Data Scientists, Applied Scientists, Data Engineers, other Software Engineers, Business Intelligence Engineers, Product Managers, and AMPS managers and leaders to build and scale the infrastructure and tooling that power our AI solutions.

The ideal candidate thrives in an environment of practical application, demonstrating both technical excellence and business acumen. They should be passionate about collaboration and contributing to a culture of continuous learning and innovation. This role directly influences how thousands of AWS customers and partners as well as internal users and systems work, making it crucial for AWS Marketplace's growth and customer success. The position offers the opportunity to shape the future of AI-driven solutions while working with innovative technologies at AWS scale.

Key job responsibilities

- Design, develop, and maintain scalable infrastructure for large language model training pipelines, model hosting, and agent-based systems, employing best engineering practices and iterating from simple to complex solutions

- Build and operate monitoring, evaluation, and observability frameworks to measure AI agent performance, reliability, and effectiveness in production

- Develop reusable tooling, APIs, and automation that accelerate the team's ability to experiment, deploy, and iterate on ML/AI solutions

- Contribute to a fast-paced, experimental environment by rapidly prototyping and operationalizing infrastructure that leverages the most recent advances in ML/AI

- Collaborate with cross-functional teams-including Data Scientists, Applied Scientists, Data Engineers, Software Engineers, Product Managers, and Science and Engineering leaders-to translate scientific innovations into robust, production systems

- Participate in research initiatives alongside scientists and engineers-contributing to experiments, prototyping, and co-authoring internal and external publications that advance the team's technical knowledge and industry presence.

A day in the life

We are at the forefront of developing and deploying AI/ML systems that serve multiple critical stakeholders:

- AWS Customers: Through the AWS Marketplace, we build and support Discovery tools and AI agents that streamline cloud adoption and innovation.

- AWS Partners: Via Partner Central, we offer advanced tools and insights to enhance collaboration and drive mutual growth.

- Internal AWS Sellers: We equip our sales force with data-driven recommendations and AI tools to better serve our customers and partners.

- Our primary objective is to accelerate cloud migrations and modernizations, fostering innovation for AWS customers while simultaneously supporting the growth and success of our extensive partner network.

BASIC QUALIFICATIONS

- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

- Experience programming with at least one software programming language

- 3+ years of non-internship professional software development experience

- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- 2+ years of experience working with cloud services (e.g., AWS, Azure, GCP).

- 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services

PREFERRED QUALIFICATIONS

- Master's degree in computer science or equivalent

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Knowledge of machine learning methodologies and experience with agentic AI systems, and related frameworks and SDKs (e.g., LangChain, LangGraph, Amazon Bedrock Agents, Claude), with hands-on experience building, deploying, and maintaining infrastructure for AI-powered systems in production environments.

- end-to-end ownership of designing, building and delivering scalable applications and infrastructure in cloud environments (preferably AWS).

- Experience with building infrastructure for LLM fine-tuning pipelines and model hosting services-including training orchestration, model versioning, deployment automation, and cost-efficient serving at scale.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually