Partner Solutions Architect, Agentic Business Processes, AWS Partner Field EMEA
Skills
About the role
DESCRIPTION
Are you passionate about how Agentic AI is reshaping enterprise software and business processes? As a Partner Solutions Architect focused on Agentic AI, you will work with AWS Consulting and Technology Partners across EMEA to help them build and deliver AI agent solutions that automate and augment complex workflows. You will do it by enabling partners on Agentic Orchestration, Amazon Bedrock (Amazon AgentCore, Amazon Strands), and Frontier Agents, while guiding them through the Agentic Process Transformation (APT) methodology to deliver repeatable customer outcomes at scale.
Key job responsibilities
Support partner go-to-market motions by providing technical guidance and support, thought leadership on agentic AI - covering Agentic Orchestration, Amazon Bedrock (Amazon AgentCore, Amazon Strands), and Frontier Agents
Enable AWS Partners and internal AWS teams on the adoption and delivery of agentic AI solutions using Agentic Orchestration patterns, Amazon Bedrock, Amazon AgentCore, Amazon Strands, and Frontier Agents across the full lifecycle
Create best practices and architectural guidance on agentic AI patterns: multi-agent orchestration, tool use, memory management, guardrails, human-in-the-loop, retrieval augmented generation, responsible AI, cost optimization, and production deployment, being a thought leader on the area
Be the technical reference on Agentic AI for the EMEA Partner Organization, collecting and exposing all the work done across EMEA
Guide partners through the Agentic Process Transformation (APT) methodology - from identifying candidate processes through solution design, implementation, and scaling - and help them build differentiated GenAI practices
Collaborate with AWS account teams, professional services, and commercial sales to bridge partner capabilities with customer demand for agentic AI solutions
Build prototypes and proof-of-concept solutions demonstrating Agentic Orchestration, Amazon Bedrock, AgentCore, Strands, and Frontier Agent architectures that partners can replicate and customize for their customers
Represent partner needs to AWS service teams (Amazon Bedrock, Amazon AgentCore, Amazon Strands, Frontier Agents), influencing roadmaps and advocating for features that accelerate partner adoption
Contribute to the Partner Solutions Architecture community through knowledge sharing, mentoring, and hiring
A day in the life
Your days will be varied. You might start by whiteboarding a multi-agent orchestration architecture with a consulting partner, demonstrating how Amazon Strands and AgentCore work together in production. Later, you could be leading an APT workshop, guiding a partner’s delivery team through the process of identifying high-value business processes suitable for agentic transformation. In the afternoon, you might be reviewing a partner’s Frontier Agent implementation, providing prescriptive guidance on tool use, memory management, and guardrails. You will spend time building reference implementations, creating enablement content, and collaborating with AWS field teams to match partner capabilities with customer demand for agentic AI. You will also represent the voice of partners to AWS service teams, influencing how Amazon Bedrock and agentic AI tools evolve.
About the team
You will join the EMEA Partner Solutions Architecture (PSA) organization within the AWS Partner Organization (APO). The PSA team serves as a scale engine for AWS, propelling growth by recruiting, activating, and developing partners. We provide technical enablement and thought leadership that helps partners build and sell solutions on AWS.
This role sits within the Solutions PSA team, which drives AWS growth through differentiated partner solutions in targeted industries and horizontals - including Agentic AI and intelligent process automation. The team operates across EMEA, collaborating with commercial sales, industry SAs, and the broader partner ecosystem. You will be based in Madrid with flexibility to travel across EMEA to work directly with partners and attend industry events.
BASIC QUALIFICATIONS
Bachelor's degree in computer science, engineering, mathematics or equivalent
Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
Experience in a technical role within a sales organization
Technical degree (Computer Science, Engineering, Mathematics, or equivalent) and/or relevant industry experience
Experience in solution architecture, pre-sales engineering, or technical consulting involving AI/ML, automation, or enterprise integration
Working knowledge of cloud computing concepts (networking, compute, storage, security) and distributed systems
Familiarity with AI agent architectures: multi-agent orchestration, tool use, memory management, or retrieval augmented generation
Experience designing and delivering technical workshops or enablement sessions to engineering audiences
Experience working in a partner-facing or channel-facing technical role
Fluent written and verbal communication skills in English and Spanish
PREFERRED QUALIFICATIONS
Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
Experience building agentic AI systems: tool use, multi-agent orchestration, memory management, guardrails, or human-in-the-loop patterns
Hands-on experience with AWS AI/ML services (Amazon Bedrock, AgentCore, Lambda, Step Functions)
Knowledge of large language models, prompt engineering, retrieval augmented generation, and how they underpin agentic systems
Experience with responsible AI practices, guardrail implementation, and observability for AI agents
Experience enabling or developing partner ecosystems (system integrators, ISVs, consulting firms)
Familiarity with Python and frameworks for building AI agents (Strands, LangChain, LangGraph, CrewAI)
Experience with enterprise integration patterns (APIs, event-driven architectures, microservices)
AWS certification (e.g. AWS Solutions Architect Associate or Professional, Machine Learning)
Experience with public speaking, technical blogging, or producing educational content
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