Amazon Development Center U.S., Inc.
Technology
Sr.SoftwareDevelopmentManager,GenAIUX
Neural analysis suggests this role is
optimal for Manager candidates.
“Sr. Software Development Manager, GenAIUX at Amazon Development Center U.S., Inc.. Skills: Generative AI, User Experience, Team management, Product development. Lead technical strategy. Develop scalable solutions”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
10+ years of engineering experience, 5+ years of engineering team management experience, Experience partnering with product or program management teams, Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers, Experience with emerging generative and agentic technologies
Nice to Have
Experience communicating with users, other technical teams, and senior leadership, Knowledge of multi-agent orchestration, MCP integration knowledge, Experience with Bedrock, Experience with Kiro, Experience with Claude
What You'll Do.
Lead technical strategy
Develop scalable solutions
Establish technical standards
Establish best practices
Drive adoption of emerging AI technologies
Drive adoption of LLM orchestration best practices
Evaluate new LLM models
Integrate new LLM models
Integrate prompt engineering techniques
Mentor a diverse team
Foster a culture of innovation
Foster engineering excellence
Provide technical guidance
Provide career development support
Manage team performance
Manage delivery timelines
Work with product managers
Execute team roadmaps
Align technical implementations with product requirements
Ensure delivery of high-quality solutions
Ensure solutions meet performance standards
Drive operational excellence
Drive system reliability
Ensure system scalability
Maintain high performance standards
Manage high severity incidents
Manage incident resolution
Drive continuous improvement initiatives
How You'll Work.
Team & Collaboration
Product teams; Design teams; Backend teams; Cross-functional teams
Communication Scope
Requirements collection; Technical designs; Product strategy
Process & Methodology
Roadmap planning, Delivery timelines
Full Job Description
Our team builds Generative AIUX products that transform the way internal and external customers build new products using AWS services. AIUX is the intersection of Artificial Intelligence and User Experience. We are focused on the future of design driven development and democratizing innovation for all builders. We deliver a shared platform across multiple products in this space, and we work on AI-powered tools that use Design Systems to build interfaces, and accelerate design, development, and validation workflows. We are seeking an experienced Software Development Manager to join our team and lead our AIUX development team. We are developing innovative products that leverage generative and agentic AI to create simplified AWS onboarding and management experiences for AWS. This role offers an opportunity to work at the forefront of AI and UX, building new products and services from the ground up. In this role, you will work closely with our product, design, and backend teams to manage the development of innovative 0-1 products. You will have the opportunity to influence the direction of our products and contribute to a culture of innovation and excellence. Our team is dedicated to supporting new team members. It has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Key job responsibilities Technical Leadership: - Lead technical strategy and development of scalable solutions - Establish technical standards and best practices for the team - Drive adoption of emerging AI technologies and best practices in LLM orchestration - Evaluate and integrate new LLM models and prompt engineering techniques Team Management: - Build and mentor a diverse team of software engineers - Foster a
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