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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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Key job responsibilities
- Define and/or refine system requirements, participate in the development and delivery of operability-related features such as system health monitoring, diagnostics, repair, and other self-healing automation
- Develop or further existing application and system management tools and processes that reduce manual efforts and increase overall efficiency- Participate in the design and execution of production acceptance tests and new hardware evaluations
- Monitor the health of the fleet, automating system health, maintenance tasks, and reporting systems as needed
- Participate in “on-call” rotations to resolve incidents occurring out-of-hours.
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.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.
- 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with distributed systems at scale
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Key job responsibilities
- Accurately understand the customer's business challenges and needs, structure the problems, and organise them as business requirements.
- Extract the IT requirements necessary to realise the business requirements and select candidate AI/ML services and algorithms. In addition, you will work with specialist roles in related technical fields to build and verify ML solutions, as wellas help develop an architecture that combines the necessary AWS services for achieving the customer's goals.
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
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Key job responsibilities
- Influence stakeholders to remove barriers to success of APJC Support deals
A day in the life
- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
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Key job responsibilities
You will own the development of software end to end, from working with stakeholders on requirements through to owning the ongoing operations of the software that you build at scale. You will work with a great, global team to tackle new challenges. You will have the opportunity to experiment and learn from your successes and your failures.
• You must be in the final semester/ trimester of a university undergraduate or postgraduate degree or have completed your university studies within the past 24 months of applying and able to commence a role from Dec 2024 to Feb 2025.
• Enrolled/Completed a degree in Computer Science, Computer Engineering, Information Technology at university or relevant tertiary institution
• Strong, object-oriented design and coding skills (C/C++ and/or Java preferably on a UNIX or Linux platform)
• Experience with distributed (multi-tiered) systems, algorithms, and relational databases
• Experience in optimization mathematics (linear programming, nonlinear optimization)
• Ability to effectively articulate technical challenges and solutions
• Deal well with ambiguous/undefined problems; ability to think abstractly
• Experience developing in a Linux environment
• Experience developing software on Amazon Web Services (AWS) platformsApplications and Assessment Process:
Selected candidates will be invited to complete an online assessment which we encourage you to complete within 5 business days. Your application will then be reviewed for suitability for the role. If successful, you will be invited to attend three virtual interviews, focusing on our Leadership Principles.
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- Working on innovative AWS products and services
- Maintaining domain knowledge and expertise in enterprise call centers, workforce management, Artificial Intelligence and CRM platforms
- Implementing and extending frameworks and methodologies commonly used by enterprises to assess, migrate, and transform the call center experience
- Setting-up and configuring AWS services in-line with best practices
Key job responsibilities- Solutions - Define and deliver on-site Professional Services engagements with partners and customers. This includes participating in discovery workshops - understanding customer requirements, proposing and delivering packaged offerings, and delivering custom solution engagements, specifically focused on call center organization, processes, tooling and integration. Software development experience with building contact center integrations is a plus.
A day in the lifeDiverse 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
- 10+ years of external or internal customer facing, complex and large scale project management experience
- 10+ years of cloud and on-premise integration experience
- 5+ years of software development with object oriented language experience
- Bachelor's degree, or 10+ years of professional or military experience
- At least 10 years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Avaya, Cisco, Genesys, Verint, NICE, Salesforce, etc.
- 10+ years of experience building call center / collaboration / telephony platforms in a Cloud or On-Premises environment, particularly building application integration capabilities for CRM/ WFM platforms
- Professional Services or Consulting experience in highly-visible customer-facing roles
- Familiarity with Amazon Connect capabilities, benefits, and required deployment skills
- Visible IT Industry thought leadership on relevant topics related to enterprise IT call centers and infrastructure.
- Enterprise call center / telecomm implementation and operations experience
- Software Development / DevOps experience with integrating contact center platforms, CRMs, WFMs and AI
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You will be passionate about both development and operations, and have a strong desire to learn about Amazon's development lifecycle. This is a true DevOps role; you will be both allowed and expected to follow problems all the way to the end and work on implementing real solutions, not just quick fixes. You will want to dive deep and understand how these large systems work.Key job responsibilities
- Develop and deploy operational tools to automate processes and reduce operational overhead- Work with other engineers to build and manage massively scaled services- Track the health of our services, identify and fix problems on complex systems with massive scale- Participating in 24/7 on-call rotation to troubleshoot high severity issues
- Various distros and their corresponding package management tools
- Permissions and permissions management
- System logging and auditing
- Log parsing using grep, awk, sed, cut, tr, etc
- Remote access via ssh
- Knowledge of procfs & sysfs- System Monitoring Tools (top, *stat tools, etc)
- DNS and tools (bind, host, dig, nslookup, etc)
- Runlevel management tools (systemd, rc.d, inittab, chkconfig, etc)
- Git (or other CM tools)
- Agile development
- CI/CD or development pipelines*Must hold or be able to attain an Australian Government Security Vetting Agency clearance (see https://www.agsva.gov.au/applicants/eligibility-and-suitability)A day in the life
In this role, you will collaborate with Product Teams to design solutions that make efficient use of resources and technologies. You will bring a detail-oriented approach and excellent problem-solving abilities, backed by a deep understanding of distributed system design and delivery. Your contributions will leverage cross-functional business and technical skills, assessing and managing risks, measuring and reporting on progress, anticipating and resolving bottlenecks, providing escalation management, making tradeoffs, and balancing business needs with technical constraints.You will drive engineering deliverables through influence rather than authority, manage repair requests in a high-volume environment, and respond to high-severity events. Regular presentations to senior leadership will require you to synthesize problems and solutions into a simple and consumable manner. Additionally, you will be responsible for data collection, analytics, and dashboard creation to help others identify the best paths for business improvement.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.
- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 7+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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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.
These jobs might be a good fit