Amazon Web Services
Operations, IT, Support Engineering, Professional Services, Cloud Computing
DeliveryConsultant-AIDeveloper,AWSProfessionalServices
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Delivery Consultant - AI Developer, AWS Professional Services at Amazon Web Services. Skills: AI/ML, Agentic AI, Multi-agent systems, Full stack development. Design multi-agent AI systems using AWS services. Architect GenAI and Agentic AI solutions using AWS”
Industry & Context.
What They're Looking For.
Must Have
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
Nice to Have
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
What You'll Do.
Design multi-agent AI systems using AWS services
Architect GenAI and Agentic AI solutions using AWS
Lead complex AI transformation projects focusing on agentic
Develop frameworks for AI performance optimization and business
Implement AI governance and safety practices
Design and operationalise evaluation frameworks to measure effectiveness
Design and implement agent identity and provenance frameworks
Design solutions using MCP
Implement agent discovery
and coordination mechanisms
Develop multi-agent systems using LangChain
Create secure agent-to-agent communication infrastructures
Design real-time context sharing and state management systems
Build end-to-end agentic AI applications using modern frameworks
Develop frontend interfaces for AI agent interaction
Implement backend services for AI orchestration
Design and Implement GenUI based interfaces to produce
Design microservices architectures for scalable AI deployments
Create event-driven architectures using AWS services
Design and develop cloud-native solutions using AWS services
Provide solution implementations including software development
Collaborate with customers to understand requirements and create
Build and implement distributed computing solutions using AWS
Develop new applications
Modernize existing applications
Innovate on behalf of customers
Guide customer and partner teams in software engineering
Guide architectural decisions
Guide implementation of AWS services
Ensure solution quality and security best practices
Develop innovative solutions using AWS AI/ML services
Build AI-enabled applications
Implement Agent architectures
Create reusable components that demonstrate innovative use of
How You'll Work.
Team & Collaboration
Customer teams; Partner teams; Senior leadership
Process & Methodology
Large-scale project management
Full Job Description
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. This role combines deep expertise in AI/ML, multi-agent frameworks, and full-stack development to deliver transformative business value through AWS's advanced AI capabilities. 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 systems Full Stack Development: * Build end-to-end agentic AI applications using modern frameworks * Develop frontend interfaces for AI agent interact
Applying for this Delivery Consultant - AI Developer, AWS Professional Services role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon Web Services?
Real rants from real employees. Read before you apply.