דרושים Sr Specialist Sa - Ai/ml Public Sector ב-אמזון ב-United Kingdom, England, London

Annapurna Labs is looking for a Senior Security Engineer to help ensure that our hardware platforms, software deliverables, and devices are secured against the latest threats.
You will be responsible for the security assurance of our products. Influencing and scrutinizing design and implementation. Develop elaborate threat models, suggest and review solutions and mitigations. You will lead vulnerability research, penetration testing, automated penetration testing solutions and methodologies such as fuzzing, static analysis and other security checkers. You will mentor service teams in adding security testing tools and practices to their development processes.Key job responsibilities
Engineers in this role must show exemplary judgment in making technical trade-offs between short versus long term security and business goals. They must also demonstrate resilience and navigate difficult situations with composure and tact. A broad understanding of the AWS business and its interconnections is required. This position will also provide training, advice, and mentorship to other engineers throughout AWS.

- 5+ years of low-level systems security research and vulnerability testing experience
- Experience developing security tools (fuzzers, scanners, analysis frameworks)
- Security architecture design and threat modeling experience
- Proficiency in C and experience with Python
- Deep knowledge of security aspects of ARM/x86 processor architectures
- Strong understanding of hardware security (secure boot, cryptographic implementations, side-channel attacks)
- Knowledge of security protocols and cryptographic primitives
- Technical English proficiency

- Background in firmware reverse engineering and vulnerability research
- Experience with fuzzing frameworks (AFL++, libFuzzer, Syzkaller)
- Knowledge of virtualization security or hypervisor technologies
- Familiarity with AWS services
- Technical leadership, mentoring, and cross-functional collaboration
- Security publications (research, CVEs)
- CTF, bug bounty, or competitive security research background

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

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.

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.

Working as part of our Specialist Go-To-Market (GTM) organization, you'll partner with a Specialist BD to develop and execute strategies that drive AWS adoption in the Database space. You'll contribute your technical expertise as an advisor to startups, work strategically with internal teams, and help lead our Database Community of Practice. Together with your Database BD, you'll create and execute sales plays and scaling motions that address the unique needs of startup customers and enable both customers and our Solution Architect community. Your role will involve designing and leading technical workshops focused on Database-specific use cases, creating proof-of-concept programs to demonstrate the value of AWS Database services, crafting industry-specific solutions that showcase AWS capabilities in Database and developing migration accelerators for startups.Key job responsibilities
* Serve as the primary technical expert for AWS Database technologies, advising startup customers on architecting and implementing scalable, secure, and cost-effective solutions
* Partner with Account teams to support priority opportunities and customers
* Contribute to the Database Community of Practice for the EMEA region, enabling the SA community, communicating product updates and scaling go-to-market activities
* Gather and synthesize startup customer feedback, serving as a liaison to AWS service teams to influence product development
* Develop and deliver technical presentations, workshops, and training sessions for both internal and external audiences
* Create scalable assets such as reference architectures, whitepapers, and blog posts to showcase best practices in Database for startups
* Represent AWS at startup-focused events and conferences, delivering thought leadership content and driving engagement
* Stay at the forefront of Database technologies, continually expanding your expertise and sharing knowledge with 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 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

- Master's degree in Computer Science, Engineering, or related field
- Extensive AWS experience, including architecture design and implementation
- Direct experience founding, working in, or consulting for startups
- Understanding of startup funding models, scaling challenges, and time-to-market pressures
- Public speaking experience, particularly in technical conferences or meetups
- Active participation in technology communities or authorship of technical content
- AWS certifications relevant to Databases
- Experience in creating and executing go to market strategies for technology products

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:A day in the life
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.

- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience.
- 8+ years of consulting experience working with Data and AI/ML solutions and 8 + years of experience in developing long-term strategies around product/ solution roadmap with execution programs to deliver on envisioned strategy.
- Recent and demonstrable hands-on experience with AI/ML workloads related to machine learning, deep learning, NLP, CV, GNN, or distributed training.
- Ability to create compelling customer proposals and executive-level presentation skills. Able to communicate effectively in English, within technical and business settings.

- AWS experience preferred, with proficiency in a wide range of AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3 and EC2). AWS Certification (Solution Architect Associate, Machine Learning Engineer Associate)
- Working knowledge of AI/ML, generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models.
- Experience with automation and scripting (e.g., Terraform, Python) and knowledge of security and compliance standards (e.g., HIPAA, GDPR).