דרושים Deep Learning Architect Generative Ai Innovation ב-אמזון ב-United States, Arlington

In this role, you will join a team of Solutions Architects that help assure certification question accuracy for existing and new certification exams. As an AWS subject matter expert, you will advise question writers with technical expertise and acumen for exam development and provide leadership for certification exam evolution and new exam development. You will leverage your development expertise to architect and develop the next generation of certification development and delivery tools and help automate manual processes. Where applicable, you will leverage and apply AWS GenAI services to assist in maintaining certification exam integrity, detect fraud, and provide predictive analytics and improve operational efficiencyKey job responsibilities
- Participate in managing, monitoring, and developing technical certification exam questions
- Design and manage development of internal applications to support exam development, maintenance, analytics, and fraud detection
- Recommend ways to incorporate Generative AI into internal application and processes
- Maintain the technical bar for a cadre of expert technical question writers**There may be occasional travel involved for this role**AWS Global Services
About AWS
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

- 7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience with AI/ML technologies

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience with one of the following programming languages: Python, Ruby, Node.js, C#, or C++
- Experience with Amazon Bedrock or SageMaker

Key job responsibilities
• Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.• Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.• Participate in code reviews and contribute to technical documentation.• Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.• Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.• Write clean, maintainable code following best practices and design patterns.• Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.A day in the life
As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.
As an Amazon Intern, you'll be part of a vibrant, supportive community that empowers your growth and development. You'll collaborate with interns from around the world, networking and participating in social events to broaden your perspectives. You can also join specialized groups focused on areas like sustainability to explore your diverse interests.Learning Sessions:

- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields at time of application
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis

- Experience from a technical internship
- Experience with distributed, multi-tiered systems, algorithms, and relational databases
- Experience in optimization mathematics such as linear programming and nonlinear optimization
- Ability to effectively articulate technical challenges and solutions
- Adept at handling ambiguous or undefined problems as well as ability to think abstractly

In this role, you will tailor and implement sales operations processes that manage tactical-to-strategic activities and enable KGS to meet long-range growth goals. You will translate data into strategy—aligning financial, operational, and business development insights to enhance decision-making, accelerate deal velocity, and strengthen Kuiper’s position across U.S. government markets.Key job responsibilities
Strategic Sales Operations & Lifecycle Management:
•Develop and execute scalable sales and pipeline management strategies that align with KGS’s long-range plan (LRP) and growth objectives.
•Build and optimize data-driven processes to forecast, track, and evaluate pipeline performance across Defense, National Security, and Civil markets.
•Lead the design of integrated reporting ecosystems and dashboards that unify financial, business development, and operational insights for leadership visibility.
•Implement and improve process governance across Pursue/No-Pursue, Bid/No-Bid, and Propose phases to ensure consistency, velocity, and compliance.
•Sustain unified, consistent and accurate reporting of business growth efforts across the organization.Business Planning & Intelligence:
•Establish frameworks to analyze sales trends, evaluate performance metrics, and identify opportunities for operational improvement and market expansion.
•Align Finance, Business Development, and Operations functions around shared data sets and performance expectations.
•Analyze business data to assess pipeline health against benchmarks and identify opportunities for enhancements
•Deliver and implement strategic recommendations to leadership based on pipeline analytics, market signals, and Voice of the Customer insights.Cross-Functional Enablement & Strategic Communication:
•Partner with product, service, and capture teams to articulate Kuiper’s value proposition and roadmap to U.S. government customers.
•Transform Voice of the Customer data into actionable insights that shape KGS’s product, service, and business development strategies.
•Enable executive decision-making through structured communication, strategic reporting, and clear articulation of growth priorities.This position is located in Arlington, VA. Some travel, primarily domestic, will be required.Security Clearance: This position requires that the selected candidate be a US Citizen and must be able to obtain and maintain a US Government security clearance of TS/SCI.

- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
- 4+ years of experience in sales operations, business operations, or strategic planning.
- 4+ years of experience using Salesforce or equivalent CRM platform.
- Strong analytical, organizational, and communication skills, with a proven ability to translate complex data into actionable business insights.

- 5+ years of experience in sales operations, finance, or business management, ideally in the government or technology sectors.
- Demonstrated expertise in designing and maintaining a structured sales pipeline and lifecycle management process.
- Familiarity with Salesforce Einstein Analytics, Confluence, and JIRA.
- Clear understanding of industry business development benchmarks
- Understanding of government SATCOM needs and acquisition processes.
- Proven success developing scalable business operations frameworks that enable growth and efficiency.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI 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
Key job responsibilities
As an experienced technology professional, you will be responsible for:2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.About the team
About AWS:
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 cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)

Application deadline: Dec 5, 2025You will provide thoughtful technical design and offer sensitivity to our customer needs in the Defense markets for cloud computing working with a truly innovative sales and business development team. You will lead efforts to capture and share best-practice knowledge amongst the AWS solution architect community. You will have the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry today across the breadth of enterprise architecture.
- Deep-dive technical discussions around design and the curiosity to keep your technical skills current while maintaining a pulse on industry trends
Experience in the following key areas are helpful:
- Executive Speaking and Presentation Skills – White board, small and large group presentations
- Technical – Experience with web applications services development/deployment, DevOps/DevSecOps, cloud computing, data and database architectures and analytics, or networking
- Operational – Web site/services operations, management, and securityThis position requires that the candidate selected be a US Citizen.About the team
About AWS
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.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Associate's degree or above, or CASP+ (CompTIA Advanced Security Practitioner) or CCSP (Certified Cloud Security Professional) or Cloud+ or CSSLP (Certified Secure Software Lifecycle Professional)

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities

You will work directly with customers 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 capable of using 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 architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
• Provide customer and market feedback to product and engineering teams to help define product direction

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD and 7+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- 5+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Have peer-reviewed scientific contributions in premier journals and conferences
- 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.

You will work directly with customers 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 top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilities
* Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate leading generative AI solutions to address real-world challenges* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
* Provide customer and market feedback to product and engineering teams to help define product direction
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

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years hands on experience with Python to build, train, and evaluate models
- 4+ years technical client engagement experience

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS