Solutions Architect, Telco, AWS Telco Business Unit
Job Summary
You will be the primary technical partner for major European telecommunications operators leading with Agentic AI and AI-assisted software development as the primary value proposition while building directly alongside customer engineering teams.
Key job responsibilities
Builder-First Engagement
Build working prototypes in customer non-production sandbox environments using AI-augmented development tools delivering tangible demonstrable value early in the engagement
Pair-program with customer teams embedding directly with their engineers during time-boxed sprints to accelerate AI adoption and cloud-native development
Write high-quality sample code for proof-of-concepts demos and sample applications spanning generative AI architectures agentic systems and telco-specific workloads (operations support system modernization network cloudification contact centre AI)
Design and deploy infrastructure using Infrastructure-as-Code (AWS CDK Terraform CloudFormation) in customer sandbox environments demonstrating scalability and security patterns
Strategic Advisory
Own the end-to-end technical relationship with Tier-1 European telco groups acting as trusted advisor to technical decision makers
Shape AI and cloud strategy for major operators translating complex technical capabilities into business-outcome narratives
Lead architecture design for Agentic AI initiatives including multi-agent orchestration foundation model integration and enterprise AI platforms
Drive AI-assisted software development lifecycle strategy positioning AWS developer tools for software transformation at scale across large engineering organizations
Revenue and Opportunity Acceleration
Accelerate deal cycles by removing technical blockers through hands-on building measurably reducing opportunity cycle time
Identify and launch new opportunities discovered during customer engagements
Increase service adoption per customer through tangible demonstrations of multi-service integration
Customer Development Engineer Operating Principles
Demonstrate value through building AND advisory lead with building to show tangible value
Act as an extension of customers through hands-on co-development in their environments
Outcome-focused identify develop and realise business opportunities through tangible proof points
Security first speed second but both are possible AI-augmented development compresses timelines without compromising security or architectural integrity
Technical accuracy over short-term revenue recommend the right solution for customer context even if it results in lower immediate revenue
Scale innovation through reusable solutions build once share broadly via accelerators and reference architectures
About the team
The EMEA Telecom Solutions Architecture team covers the largest telco operators across Europe. We sit within the AWS Global Telecom Industry Business Unit and drive technical outcomes across cloud transformation AI adoption network cloudification and software modernisation. The team operates with a forward-deployed competence mindset bringing deep technical expertise directly to where customers need it most.
- Bachelors degree in computer science engineering mathematics or equivalent or experience in a professional field or military
- Experience in IT development or implementation/consulting in the software or Internet industries
- Experience within specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics).
- Experience in design implementation or consulting in applications and infrastructures
- Experience communicating across technical and non-technical audiences including executive level stakeholders or clients
- Experience leading in a customer-facing role in the technology industry or equivalent
- Experience with full software development life cycle including coding standards code reviews source control management build processes testing and operations or experience with Unreal engine
- Experience developing deploying and managing AI products at scale
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Experience working with end user or developer communities
- Knowledge of technology principles and services including infrastructure business applications data management security application platforms and consumer-facing technology
- Experience working with or evaluating AI systems
- Experience with evaluating and integrating open source and in house developed toolsets
- AWS Solutions Architect Certification
- Experience with embedded software
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Required Experience:
Staff IC
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