Software Development Manager, Artificial General Intelligence (AGI)

Amazon.com, Inc; Hartford; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading technology company in the United Kingdom is seeking a Software Development Manager to lead multiple engineering teams in developing and deploying AI solutions. This role focuses on innovation in conversational AI and requires deep technical expertise, particularly in engineering practices and system architecture. Ideal candidates will have a background in team management and a drive for excellence in software delivery. Join us to craft technologies that enhance customer experiences.

Qualifications

• Experience in engineering team management.
• Experience in leading the definition and development of multi-tier web services.
• Knowledge of full software/hardware/networks development life cycle.

Responsibilities

• Lead AI Engineering in model integration and optimization.
• Drive alignment of business goals in speech synthesis.
• Define technology stack and guide architectural decisions.
• Hire and mentor software engineering team members.

Skills

Team management

Software engineering

Architecting systems

Communication

Job description

Overview

This is a unique opportunity to work at the forefront of AI, building and deploying large-scale solutions based on Generative AI and Large Language Models.

As a Software Development Manager, you will lead multiple teams of software engineers, language engineers, and researchers, ensuring innovation, technical excellence, and timely delivery.

You will be a key person in executing the vision and roadmap for Amazon's conversational AI, crafting products that delight Amazon's customers.

Key Job Responsibilities

• Lead AI Engineering in model integration, optimization, large-scale cloud services and SW life-cycle management.
• Drive alignment and execution of key business goals in speech and audio synthesis.
• Define technology stack, guide and review key architectural decisions.
• Hire exceptional individuals and mentor team members in reaching their career goals.

About the team

Amazon AGI Vertical Services team is at the forefront of innovation, crafting delightful conversational speech powered by AI. We're seeking passionate individuals to join our mission of pushing boundaries and delivering exceptional customer experiences.

As part of our team, you are empowered to Think Big and tackle complex problems by leveraging advanced technologies like large language models and neural networks. We value creativity and technical mastery, ensuring collaborative environment focused on continuous learning and growth.

Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations.

• Experience in engineering team management
• Experience in engineering
• Experience in leading the definition and development of multi-tier web services
• Experience working directly within engineering teams
• Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
• Experience partnering with product and program management teams

Preferred Qualifications

• Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.