Jobs

Sr. Software Development Engineer, Bedrock AgentCore Knowledge Bases
New York, NY, USA
·
On-site
·
Full-time
·
6d ago
Interested in high-scale distributed systems and Gen AI? Our team develops Amazon Bedrock Knowledge Bases, a fully managed service for end-to-end Retrieval Augmented Generation (RAG) workflow. Our team's mission is to make it easier for customers to build AI applications with contextual information from their enteprise data to deliver more relevant, accurate, and customized responses. We continuously develop new features to address real-world problems through research and innovation, such as 1/ integrating with Foundation Models (FM), agents, and data sources 2/ improving response quality by improving our existing pipeline and creating new pipelines 3/ introducing support for new content types and modality.
As a Senior Software Development Engineer, you will provide technical leadership and own team-level architecture for our AI data pipeline and large-scale distributed systems serving our worldwide customer base. You will lead projects requiring work from multiple engineers, designing solutions for complex problems where the business direction is understood but the technology strategy needs to be defined. In this role, you will collaborate closely with a team of AI Applied Scientists and engineers across related teams, driving consensus on technical approaches and influencing the team's long-term technical roadmap. You will balance constraints between short-term delivery and long-term architectural needs, ensuring solutions are extensible, performant, and secure.
- Key job 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
Effectively communicate technical designs to both technical and non-technical audiences
About the team
This role is part of the Quick organization in New York. Knowledge Bases are strategic areas for both Quick and Agent Core with visibility at the highest leadership levels. This role offers a chance to scale our services and find opportunities to innovate on state-of-the-art Generative AI technology. You will be working closely with an exceptional group of product, engineering, and science leaders. If you are interested in building the future of Generative AI and Retrieval Augmented Generation, we'd love to hear from you!
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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, NY, New York - 184,900.00 - 250,200.00 USD annually
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
$1.5T
Valuation
Reviews
3.4
10 reviews
Work-life balance
2.3
Compensation
4.2
Culture
3.1
Career
3.8
Management
2.7
65%
Recommend to a friend
Pros
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
Cons
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
Salary Ranges
4 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total per year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview experience
6 interviews
Difficulty
4.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 17%
Negative 83%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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