Sr Specialist Genai Model Training & Inference jobs at Amazon in United Kingdom, London

ABOUT THIS ROLE
As a Senior Software Development Engineer, it’s up to you to define, design and refine the tech that keeps us one step ahead of listeners. Anticipate. Innovate. Bring challenging ideas and we’ll support you with the latest tech, tools and systems that you need to succeed. You’ll drive the team forward, guiding them over every obstacle and leading the way to develop exciting, original and effective solutions. Leading the way, you’ll bring our team together to build and maintain our platform to bring thousands of stories to millions of listeners and unleash the power of the human voice.
ABOUT YOU
As a Senior Software Development Engineer, you will...- Mentor and support other developers by cultivating curiosity and deep technical understanding
- Explore technical needs and bring solutions to the table
- Establish and follow good engineering practicesABOUT AUDIBLE
A day in the life

- 3+ years experience of software development and deployment of distributed multi-tier applications
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Prior use of AWS technologies at scale in a production environment
- Bachelor’s degree or higher in Computer Science
- Business fluency in written and verbal English

- Content Management System (CMS) expertise: In-depth knowledge and experience building proprietary CMS platforms. This includes understanding the CMS architecture, plugin/module development, theming, and customization.
- Expertise in building Agentic AI workflows that empower users through adaptive, contextualized, and personalized interactions
- Knowledge of natural language processing, knowledge representation, and multi-modal reasoning to enable human-like communication and task completion
- Familiarity with reinforcement learning, meta-learning, and other advanced AI techniques to create continuously improving Agentic AI systems
- Demonstrated expertise in a variety of technologies and platforms such as Web(HTML+CSS+React), Java/J2EE
- Demonstrated experience implementing solutions leveraging AWS capabilities
- Strong problem-solving skills with the ability to navigate complex and ambiguous situations
- History of delivering customer-driven software products at a high scale in a fast paced, technology first, rapid-growth company
- Experience taking a lead role delivering complex software systems to internal or external customers
- Competency at delegating work in parallel to accelerate delivery
- Enthusiasm for promoting high-quality standard in others across: documentation, unit testing, code reviews, test automation, continuous integration and deployment

Why This Role Matters
In the GenAI Innovation Center, we're tackling the most exciting and complex challenges in technology today. Our security leaders aren't just implementing solutions – they're inventing new approaches to security that will define industry standards for years to come.You'll be:
- Pioneering new security architectures for GenAI applications that will be studied and emulated across the industry- Creating the frameworks and best practices that will shape how enterprises implement secure GenAI solutions
- Leading the charge in developing novel security applications powered by GenAI itselfThe Innovation Opportunity
This role sits at the absolute tip of the spear of AWS innovation. You'll have the unique opportunity to:
- Drive industry-first solutions that bridge the gap between new and novel AI and enterprise security requirements
- Build a legacy as one of the pioneers who helped define secure GenAI implementation
Key job responsibilities
Security for GenAI
- Lead security architecture and implementation for enterprise GenAI deployments across EMEA
- Design and implement security controls specific to GenAI applications
- Develop security frameworks and governance models that enable rapid, secure GenAI adoption- Create reusable security accelerators and assets for AWS GenAI servicesGenAI for Security Innovation
- Design and implement innovative GenAI solutions for security use cases
- Create proof-of-concepts demonstrating novel applications of GenAI in security operations
- Develop new methodologies and tools for using GenAI to enhance security capabilities- Build security-focused applications leveraging AWS's GenAI services
Success in this role requires balancing deep technical expertise with strategic thinking while maintaining a relentless focus on customer trust and security excellence.A day in the life
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS Global Services

The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with worlds’ leading startups across GenAI model providers, GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
* Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities* Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
* Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience
* Provide customer and market feedback to product and engineering teams to help define product direction
* Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagementsAbout the team
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- 2+ years of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
- Experience in patents or publications at peer-reviewed conferences or journals

Key job responsibilitiesAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Knowledge of Python or R or other scripting language
- Experience in building quantitative solutions as a scientist or science manager
- Experience directly managing scientists or machine learning engineers
- Experience in applying statistical models for large-scale application and building automated analytical systems

- Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
- Bachelor's degree in Computer Science or equivalent

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.For this role, Spanish and English bilingual speakers are preferred, but not required.Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer, with at least 1+ year experience with any of the following platforms: Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce.
- 5+ years experience designing and implementing at least 2 of the following contact center solutions: IVR, chat, custom reporting, quality management, agent desktop, or workforce management
- 3+ years experience in Software development/DevOps, with minimum of 3 successful deployments integrating contact center platforms with at least 2 of the following: bots, APIs, web services, or databases

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills
- Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation.

Key job responsibilities
Responsibilities
- Coordinate the activities of a professional contract guard force
- Interface with and assist in mobilizing vendors involved in system repairs and new security construction
- Oversee individual security vendor deliverables, track service delivery and request corrective actions from vendors as needed
- Foster working relationships to educate data center stakeholders on false alarm reductions
- Extract metrics and observe improvements by looking at and analyzing data
- Verify Data Center security programs are delivered to meet defined global security standards
- Develop strategies for improving electronic surveillance and access controls
- Draft reports and prepare presentations on the status of physical security operations
About the team
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 1. Graduate in criminology, physical security or related field.
- 2. Experience in physical security, logistics or operational roles.

- Experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers
- Experience with physical security control and surveillance systems.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- Experience working with external or internal customers to implement large-scale solutions
- 5+ years of experience designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment
- Coding (Python, Javascript/Typescript, Java, etc) experience integrating voice or chat bots with contact center platforms, APIs, web services, or databases

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python) and knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Familiarity with Amazon Lex capabilities, benefits, conversation design, and required deployment skills
- Experience incorporating generative AI into voice or chat bots to answer questions or drive self-service experiences, including model selection and integration, prompt engineering, and data preparation.