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Core Focus Areas:Agentic AI Implementation & Architecture:* Design and implement multi-agent AI systems using AWS services
* Architect GenAI and Agentic AI solutions using AWS Bedrock, Amazon Q, or open source tools
* Lead complex AI transformation projects focusing on agentic systems
* Develop frameworks for AI performance optimization and business value measurement
* Implement AI governance and safety practices
* Design and operationalise evaluation frameworks to measure effectiveness, scalability and robustness of Multi agent applications
* Design and implement agent identity and provenance frameworks to ensure trust, accountability and compliance in GenAI multi agent systems.Multi-Agent Protocols & Frameworks:* Design solutions using MCP, ACP, A2A, ANP, and AG-UI protocols
* Implement agent discovery, authentication, and coordination mechanisms
* Develop multi-agent systems using LangChain, AutoGen, MetaGPT, and LangGraph
* Create secure agent-to-agent communication infrastructures
* Design real-time context sharing and state management systemsFull Stack Development:* Build end-to-end agentic AI applications using modern frameworks
* Develop frontend interfaces for AI agent interaction (React/Angular/Vue.js)
* Implement backend services for AI orchestration (Python/Node.js/Java)
* Design and Implement GenUI based interfaces to produce and render dynamic interactive experiences.
* Design microservices architectures for scalable AI deployments
* Create event-driven architectures using AWS servicesKey job responsibilities
* Expertise - Design and develop cloud-native solutions using AWS services, including hands-on software development, architecture design, and implementation of best practices in modern development methodologies
* Solutions - Provide solution implementations including software development, CI/CD pipelines, infrastructure as code, and DevOps practices while collaborating with customers to understand requirements and create technical solutions
* Delivery - Build and implement distributed computing solutions using AWS services, involving hands-on coding, testing, and deployment across cloud environments. This includes developing new applications, modernizing existing ones, and innovating on behalf of customers.
* Technical Leadership - Guide customer and partner teams in software engineering practices, code reviews, architectural decisions, and implementation of AWS services while ensuring solution quality and security best practices
* Innovation - Develop innovative solutions using AWS AI/ML services, including building AI-enabled applications, implementing Agent architectures, and creating reusable components that demonstrate innovative use of AWS servicesA day in the life
About 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
- 7+ years of IT implementation experience
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Experience and technical expertise (design and implementation) in cloud computing technologies
- 5+ years of practical machine learning experience
- 5+ years of full stack development experience
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent
- Experience implementing AWS services
- 4+ years of external or internal customer facing, complex and large scale project management experience, or AWS Professional level certification
- Hands on experience leading large-scale global data analytics projects aligned with business use cases.
- Experience in Data Quality management: Processes to measure and manage data quality, enforce data controls, and provide data assurance.
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As a Senior Applied Scientist in our international Machine Learning team, you will spearhead the design and development of advanced generative models (image, video, and 3D) in computer vision that will enhance shopping experience of our customers. You will partner directly with senior stakeholders to better understand business problems, dissect, design and sometimes build prototypes. You will lead and encourage productive scientific discussions to identify the most effective scientific methodologies.Key job responsibilities
- Lead the scientific development of scalable computer vision solutions to revolutionise our catalog's media content.
- Mentor and guide junior scientists and interns, fostering a culture of innovation and continuous learning.- Drive technical decision-making and set the direction for building future AI models.
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 4+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Have at least 5 publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS.
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience in mentoring PhD students or managing a team of scientists.
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The AWS Solutions Architecture team works with the Australian Government and AWS partners on architecting innovative solutions for all our stakeholders. Our work can be highly sensitive, time critical focusing on strategic and operational outcomes. We are passionate about supporting our Public Sector community and will go the extra mile to ensure we achieve successful outcomes. We are consistently challenged with unique and diverse requirements that require 'out of the box' thinking supported by deep technical knowledgeThe broad responsibilities will include owning the technical engagement and ultimate success around specific implementation projects, and developing a deep expertise in the AWS technologies as well as broad knowledge of how applications and services are constructed using the AWS platform.Key job responsibilities
As a Senior Solutions Architect, you’ll help your customers plan their successful cloud journey. You’ll solve complex, technical challenges so your customers can focus on their business. This includes using your knowledge to craft scalable, flexible, and resilient cloud architectures. You’ll drive technical solutions discussions, diving deep into the details with customer teams.Building relationships to understand our customers and partners is key. As a trusted technical advisor, you’ll use your interpersonal skills to influence a variety of stakeholders from technical teams to executives. You’ll help ensure their short-term technology decisions are aligned with their long-term goals. Speeding up the adoption of our services will be part of your day to day.You’ll also act as thought leader in the wider community. This includes playing a lead role in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops. You won’t just be part of an industry movement; you’ll be leading it.
A day in the life
About AWSDiverse 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
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 7+ years of infrastructure architecture, database architecture and networking experience
- Can take the lead on a complex technical projects, which may require the participation of other teams to deliver.
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The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
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. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs2. Providing technical guidance and troubleshooting support throughout project delivery3. Collaborating with stakeholders to gather requirements and propose effective migration strategies4. Acting as a trusted advisor to customers on industry trends and emerging technologies5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About 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.
• 2+ years of experience in cloud architecture and implementation• Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience• 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++
• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences• 2+ years of experience of Data platform implementation• Hands on experience with building data or machine learning pipeline• Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)
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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.
All physical requirements are expected with reasonable accommodations:
- Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds
- Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed
- Working in cramped and/or elevated and/or noisy environments
- Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day
- Ascending and descending ladders, stairs, and gangways safely and without limitationKey job responsibilities
- Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required
- Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors
- Performing on-call duties and participating in scheduled maintenance and change management activities
- Contributing to documentation and process improvement initiatives based on your analysis of operational issues
A day in the life
As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you:- Solve problems at their root and step back to understand the broader context
- Maintain service level agreements through the implementation of proactive issue detection and reportingYou will be required to work shift work that will include days/nights/weekends/holidays. Traveling within and outside of regional work area is required.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.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.
- 1+ years of networking and troubleshooting experience
- 1+ years of relevant experience in data center operations, IT support, or a similar technical field
- Willingness to participate in a primary responder rotation and support 24/7 data center operations
- Experience in a data center or other critical environment
- An Associate’s degree, technical certification, or equivalent professional or military experience in a relevant field (e.g., computer science, networking engineering, etc.)
- Understanding of network design, protocols and troubleshooting
- Experience managing work and priorities through a ticketing system
- Understanding of in-depth hardware knowledge (e.g., PCIe)
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You’ll join a diverse team of 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 of 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- Coordinate daily with third party vendors ensuring adherence to contracted SLAs
- Effectively and efficiently manage the operations budget and expenditures
- Operate as the after hours on-call Data Center Facility Manager for the data centers in the region.
- Respond to any issues within the data centers and managing the investigation, mitigation, and recovery of the issue(s)About 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.
Work/Life BalanceMentorship & 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 relevant experience working in a data center or other critical environments with extensive knowledge in UPS, Generators, HVAC, Evaporators and other critical infrastructure
- 3+ years experience in people management, troubleshooting and problem solving
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You’ll join a diverse team of 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 of 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- Coordinate daily with third party vendors ensuring adherence to contracted SLAs
- Effectively and efficiently manage the operations budget and expenditures
- Operate as the after hours on-call Data Center Facility Manager for the data centers in the region.
- Respond to any issues within the data centers and managing the investigation, mitigation, and recovery of the issue(s)About 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.
Work/Life BalanceMentorship & 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 relevant experience working in a data center or other critical environments with extensive knowledge in UPS, Generators, HVAC, Evaporators and other critical infrastructure
- 3+ years experience in people management, troubleshooting and problem solving
These jobs might be a good fit

Share
Core Focus Areas:Agentic AI Implementation & Architecture:* Design and implement multi-agent AI systems using AWS services
* Architect GenAI and Agentic AI solutions using AWS Bedrock, Amazon Q, or open source tools
* Lead complex AI transformation projects focusing on agentic systems
* Develop frameworks for AI performance optimization and business value measurement
* Implement AI governance and safety practices
* Design and operationalise evaluation frameworks to measure effectiveness, scalability and robustness of Multi agent applications
* Design and implement agent identity and provenance frameworks to ensure trust, accountability and compliance in GenAI multi agent systems.Multi-Agent Protocols & Frameworks:* Design solutions using MCP, ACP, A2A, ANP, and AG-UI protocols
* Implement agent discovery, authentication, and coordination mechanisms
* Develop multi-agent systems using LangChain, AutoGen, MetaGPT, and LangGraph
* Create secure agent-to-agent communication infrastructures
* Design real-time context sharing and state management systemsFull Stack Development:* Build end-to-end agentic AI applications using modern frameworks
* Develop frontend interfaces for AI agent interaction (React/Angular/Vue.js)
* Implement backend services for AI orchestration (Python/Node.js/Java)
* Design and Implement GenUI based interfaces to produce and render dynamic interactive experiences.
* Design microservices architectures for scalable AI deployments
* Create event-driven architectures using AWS servicesKey job responsibilities
* Expertise - Design and develop cloud-native solutions using AWS services, including hands-on software development, architecture design, and implementation of best practices in modern development methodologies
* Solutions - Provide solution implementations including software development, CI/CD pipelines, infrastructure as code, and DevOps practices while collaborating with customers to understand requirements and create technical solutions
* Delivery - Build and implement distributed computing solutions using AWS services, involving hands-on coding, testing, and deployment across cloud environments. This includes developing new applications, modernizing existing ones, and innovating on behalf of customers.
* Technical Leadership - Guide customer and partner teams in software engineering practices, code reviews, architectural decisions, and implementation of AWS services while ensuring solution quality and security best practices
* Innovation - Develop innovative solutions using AWS AI/ML services, including building AI-enabled applications, implementing Agent architectures, and creating reusable components that demonstrate innovative use of AWS servicesA day in the life
About 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
- 7+ years of IT implementation experience
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Experience and technical expertise (design and implementation) in cloud computing technologies
- 5+ years of practical machine learning experience
- 5+ years of full stack development experience
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent
- Experience implementing AWS services
- 4+ years of external or internal customer facing, complex and large scale project management experience, or AWS Professional level certification
- Hands on experience leading large-scale global data analytics projects aligned with business use cases.
- Experience in Data Quality management: Processes to measure and manage data quality, enforce data controls, and provide data assurance.
These jobs might be a good fit