דרושים Gen Ai Partnerships Bd Alexa International ב-אמזון ב-United Kingdom, 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

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.Key job responsibilities
- Daily building rounds to monitor and record information from electrical, mechanical, and fire/life safety equipment to ensure 24/7 reliability and availability
- Monitor Building Management Systems (BMS) and Electrical Power Management System (EPMS)
- Assist in troubleshooting of facility and rack-level events within internal Service Level Agreements (SLA)
- Perform rack installs and rack decommissioning within internal SLA
- Perform PM, troubleshooting, root cause analysis, and repair of electrical and mechanical equipment
- Technical writing to support change management program
- Monitor daily work requests and manage to resolution, and execute projects from conception to completion
- On-site support of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislationPhysical Requirements:- Regularly lift and/or move up to 39 pounds independently
- Participate in group lifts for 40+ pounds
- Maintain balance and perform construction tasks while on a ladder
- Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position
- Work in an environment requiring provided ear protection.A day in the life
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

- 2+ years of Microsoft Office including Outlook, Word, and Excel experience
- High school or equivalent
- Technical (Military/Trade School) training or 2+ years of electrical or mechanical, HVAC, fire system experience in a mission-critical infrastructure or equivalent experience in a relevant industry (for example: electrical or mechanical)

- 4+ years of data center engineering experience
- Associate's degree, or Bachelor's degree

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.Key job responsibilities
As an experienced technology professional, you will be responsible for:1. Design and develop robust and scalable AI/ML solutions for business problems
4. Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
5. Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
6. Comfortable working in a fast paced, highly collaborative, dynamic work environment
7. 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.

- Experience implementing AWS services in a variety of distributed computing environments
- 3+ years experience in cloud architecture, a ML practitioner with hands-on implementation of ML systems; building, validating and deploying GenAI models
- 5+ years of professional experience in a business environment; experience of IT platform implementation in a highly technical or analytical role
- 3+ years experience of handling large datasets and strong software development skills with proficiency in one or more programming languages including Python and one additional language e.g., Java, C#
- Strong understanding of DevOps practices with practical hands-on application and strong interest in AI/ML solutions. Strong verbal and written communications skills and ability to lead effectively across organizations in English.

- 3+ years Technical experience preferred, knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti-patterns
- 3+ years Application Development experience required with serverless technologies and experience training distributed ML models on CPU and GPU hardware
- Serving ML models through realtime APIs and experience with deploying production-grade machine learning solutions on public cloud platforms. Knowledge of vertical use cases for large language models in industries like finance, healthcare, manufacturing etc
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation). AWS Professional or Specialty level certifications (e.g., Machine Learning Specialty)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences

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.