Senior GenAI Systems Architect: Scalable Data Pipelines

Amazon Web Services (AWS); New York (NY); On-site; USD 185,000 - 250,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon Bedrock Knowledge Bases in New York builds scalable retrieval augmented generation pipelines and distributed AI data platforms for customers worldwide. As a Senior Software Development Engineer, you will provide technical leadership and own team-level architecture for the AI data pipeline and large-scale systems.

You will collaborate with AI Applied Scientists and engineers across teams to drive architectural decisions and influence the long-term technical roadmap, ensuring solutions are

Qualifications

• 5+ years of professional software development experience.
• 5+ years of programming in at least one language.
• 5+ years leading design or architecture of large systems.
• Experience as a mentor or tech lead.

Responsibilities

• Lead the design and implementation of distributed AI data pipelines and systems, providing system-wide architectural guidance.
• Balance speed of execution with architectural requirements, identifying one-way door decisions that require the right long-term solution.
• Drive adoption of engineering best practices and operational excellence across the team.
• Solve complex technical problems with multiple risks and roadblocks, bringing clarity through simple, well-designed solutions.
• Mentor and coach multiple engineers, helping develop the next generation of technical talent.

Skills

Distributed systems

Leadership

Mentoring

Architecture design

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon Bedrock Knowledge Bases in New York builds scalable retrieval augmented generation pipelines and distributed AI data platforms for customers worldwide. As a Senior Software Development Engineer, you will provide technical leadership and own team-level architecture for the AI data pipeline and large-scale systems.

You will collaborate with AI Applied Scientists and engineers across teams to drive architectural decisions and influence the long-term technical roadmap, ensuring solutions are