Sr Software Engineer, AWS Applied AI Solution – Core Services

Summary by AIEngineer.careers

Sr Software Engineer, AWS Applied AI Solution – Core Services is a AI Agent Engineer role (full-time). with Amazon. in SEATTLE, US. Compensation shown: $168K–$227K. Imported listing (source: scoutify.com). Apply on the employer's site (scoutify.com).

Imported listing (source: scoutify.com) · Apply on scoutify.com

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SEATTLE · US

$168K–$227K

Full-time

SENIOR

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Imported job description

Sourced from scoutify.com

Lead the agentic AI building blocks initiative within AWS Applied AI Solutions, creating reusable AI components that power next-generation AI agents across AWS business applications. Own a critical capability area such as agent identity and governance, orchestration, evaluation, or knowledge management, and define the technical architecture and roadmap from the ground up. Combine startup-style ownership with AWS-scale impact while mentoring engineers and driving cross-team technical convergence.

Responsibilities

Own the technical architecture and strategy for a critical AI agent capability area across AWS
Lead multi-engineer projects, balancing business goals with technical excellence in ambiguous problem spaces
Research, evaluate, and integrate state-of-the-art AI technologies and make build-vs-leverage decisions
Design and implement reusable, enterprise-grade AI components with clean interfaces
Drive consensus across teams to create unified AI building blocks
Champion engineering best practices and mentor other engineers
Communicate complex technical designs to engineers, non-technical stakeholders, and senior leadership

Requirements

5+ years of non-internship professional software development experience
5+ years of programming in at least one software language
5+ years leading design or architecture of new and existing systems
Experience as a mentor, tech lead, or leading an engineering team
Experience with the full software development life cycle
Experience designing and implementing AI/ML systems with LLMs, prompt engineering, RAG, fine-tuning, or AI agent development
Track record building distributed systems with well-designed APIs at enterprise scale
Working knowledge of AWS AI/ML services such as Amazon Bedrock and SageMaker

Nice to Have

10+ years of full software development life cycle experience
Bachelor's degree in computer science or equivalent
Experience designing evaluation systems and metrics for AI performance
Experience building hierarchical memory/storage systems for AI products
Experience developing tools and frameworks that manage prompts

Benefits

Health insurancedental insurancevision insurance401k matchingpaid time offParental leavelife insuranceflexible spending account

Tech Stack

AI AgentsAmazon BedrockAmazon SageMakerAPIsAWSDistributed SystemsFine-tuningLLMsPrompt EngineeringRAG

Amazon

Seattle, Arlington County · US · 1576000+ employees

Amazon is a global technology and retail conglomerate focused on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. The company operates a vast ecosystem of services, including AWS, Amazon Prime, and numerous physical and digital products.