דרושים Ai Compliance Specialist Ops ב-אמזון ב-United States, Arlington

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.

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

Application deadline: Dec 8, 2025
Key job responsibilities
Your broad responsibilities will include:
- Helping U.S. Federal Civilian Government organizations implement innovative cloud computing solutions and solve technical problems.
- Owning the technical engagement and ultimate success around specific implementation projects.
- Defining implementation architectures, responding to RFPs, developing a deep expertise in the AWS technologies as well as broad know-how around how applications and services are constructed using the AWS platform.
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
A day in the life

- 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
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
- Intermediate/advanced knowledge of the AWS services.
- 5+ years of infrastructure architecture, database architecture and networking experience
- 5+ years of experience designing, implementing, and managing Kubernetes environments at scale
- Proven experience architecting containerized applications and microservices architectures
- Strong background in DevOps practices and CI/CD pipeline implementation using Kubernetes
- Experience managing multiple Kubernetes clusters
- Demonstrated expertise in Kubernetes security, networking, and storage concepts
- Proficiency in Infrastructure as Code tools (Terraform, Helm) for Kubernetes deployments
- Experience troubleshooting complex distributed systems and container-based applications
- Experience within the Federal Government.
- Understanding of infrastructure and security requirements, such as FedRAMP Moderate/High, HIPAA, DoD SRG, CJIS, etc.
- Current, active US Government Security Clearance of Top Secret or above

In this role you will be responsible for working with internal customers across multiple organizations to define highly ambiguous problem statements, influencing a global Amazon team, writing technical specifications and performing technical evaluations on equipment, developing business requirements, identifying, developing, and scaling new technologies across multiple teams, generating multiyear budgets, and managing multiple large, high visibility programs simultaneously through the project lifecycle.Key job responsibilities
In partnership with WWDE, Operations Engineering, and strategic suppliers, this individual will drive the technical strategy for a material handling equipment lifecycle organization. This position will provide program leadership and technological integration across multiple teams of engineers. You will serve as the single-threaded leader between multiple engineering teams, operations, and RME partners. You will lead cross-functional communications and strategic planning for material technological deployment, introduce new tech products, determine KPIs, and drive standardization initiatives. You must be obsessed with execution excellence, creating mechanisms and processes that increase velocity while maintaining quality. This role requires building relationships with Amazon Engineering and operations teams and influencing senior leaders.
Responsibilities Include:
• This person will manage multiple large, highly complex programs, solely responsible for driving them through the development and deployment lifecycle.
• You deeply understand the business and technical requirements of product integration from mechanical, electrical, and controls functions
• You are expected to have fluency in systems level architecture, critique and debate tech design, judge technical viability of the product/solution and tailor communication for tech and non-tech stakeholders.
• Work with the Operations, Engineering, and Data Science Leadership teams to manage the organizations strategy and project priority to ensure resources are always focused on the most impactful projects
• Define program/project scope and technical/business requirements, and relay that to the design, firm, and field engineering teams concisely to allow for efficient transfer of knowledge
• Evaluate solutions effectively and make decisions that balance business value and technology risk
• Help your customers and the engineering teams make appropriate trade-offs by considering the larger picture (e.g., business goals, throughput expectations, quality requirements, efficiency, maintainability, operability)
• Identify standards and drive consistent application of engineering changes across North America
• Build strong working relationships with Fulfillment Center (FC) leadership and their operations teams across multiple sites including Industrial Engineering, Maintenance Engineering, and Process Engineering stakeholders
• Communicate and present program status to Directors of Engineering and Operations
• Data mine and transform raw thoughts into clear technical documentation
• Ability to travel up to 50% to interact with internal and external business and technical leadersA day in the life
Amazon Benefits:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

• Bachelor's degree in Engineering and 10+ years experience in design, specification, project management and execution of large-scale complex material handling systems, or domain expertise in one of the following disciplines: industrial, mechanical, electrical, chemical or civil engineering; industrial or construction management
• 5+ years managing core project management disciplines including scope, schedule, budget, resources, quality and risk management, reporting and metric development/tracking
• Strong understanding of material handling equipment and systems integration
• Experience in manufacturing/operations/supply chain analysis, and process improvement (eg. Lean Six Sigma)
• Proven track record of delivering complex technical projects on time and on budget
• Excellence in stakeholder management and cross-functional leadership
• Excellent written and oral communication skills, proven problem-solving skills, and strong organizational skills
• Ability to handle multiple competing priorities in a fast-paced, matrix environment
• Demonstrated ability to use data and metrics to back up assumptions and evaluate outcomes
• Ability to roll up sleeves and operate as an individual contributor to get the job done
• Able to travel up to 50%, US

• Advanced degree in Engineering or related technical field.
• Experience with material handling equipment integration and systems
• Experience with conveyor control systems and automation
• Experience with cross-belt sorters and complex material handling systems
• Project Management Professional (PMP®) certification
• Six Sigma certification
• Experience working with material handling OEMs and integration partners
• Track record of establishing standardized processes and playbooks
• Experience scaling technical project delivery organizations
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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
• Help customers develop scalable, secure and effective agentic workflows
• Provide customer and market feedback to product and engineering teams to help define product direction

- 5+ years of building machine learning models or developing algorithms for business application experience
- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience
- 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 demonstrated experience working with Foundational Models.
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals

Application deadline: Dec 17, 2025Key job responsibilitiesEngage with Solution Architects, Account Managers, Professional Services, and Partners to define an HPC Engagement strategy for AWS operational territories and key accounts, with emphasis on public sector National Super Computing Centers , Government agencies , and/or AI/ML , CAE , Weather and accelerated computing with GPU
Understand AWS market segments, and industry verticals.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 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.

- Developer experience with HPC frameworks for workloads in a domain such as CAE, Weather Simulation, oil and gas, automotive / aerospace, financial services or pharmaceuticals.
- Proven ability to understand HPC user requirements and map these to solutions.
- Experience in architecting an HPC platform with scheduling middleware (e.g. Slurm, Torque, Symphony or GridServer).
- Experience in deployment, tuning and management of HPC technologies in a multi-user environment.
- High level understanding of the underlying infrastructure platform and resources to run HPC services.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
- Proficient in one or more of the following programming languages: C++, Python, CUDA, Bash
- Deep GPU knowledge in HPC and/or AI/ML frameworks.

- An advanced degree in computer science, engineering, physical or life sciences or related discipline.
- Working knowledge of HPC schedulers and distributed/parallel file systems, underlying IT systems, and the HPC development process, high throughput and tight coupling approaches.
- Working knowledge of containers such as Docker, Kubernetes, Singularity.
- Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
- An understanding of the cloud computing delivery model as it relates to HPC.
- Knowledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware Optimization.
- Experience in a customer-facing, sales-aligned role such as consultant, solutions engineer or solutions architect.
- Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.