This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Cloud Architect, Field Engineering (GenAI Focus) in Germany.
This role is designed for a highly technical and customer-focused cloud architect who thrives at the intersection of AI innovation, cloud infrastructure, and strategic delivery. You will lead high-impact GenAI engagements, helping organizations move from experimentation to production-ready AI solutions using AWS-native technologies. Acting as a trusted technical advisor, you will work closely with customers to architect scalable cloud and AI systems while driving measurable business outcomes. The position combines hands-on implementation, technical consulting, and cross-functional collaboration in a fast-paced, globally distributed environment. You will contribute to expanding product adoption, strengthening strategic partnerships, and building repeatable AI delivery frameworks that scale across regions and industries. This is an opportunity to shape enterprise AI adoption while working alongside cloud experts, engineers, and customer-facing teams in a highly flexible remote-first culture.
Accountabilities:
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Lead customer-facing GenAI and cloud implementation engagements from discovery through production delivery.
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Design and deploy AWS-native AI architectures, including retrieval-augmented generation (RAG), vector database integrations, and agentic AI workflows.
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Translate customer business goals into scalable technical solutions with measurable outcomes and implementation roadmaps.
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Conduct workshops, technical discovery sessions, proof-of-value engagements, and architecture reviews for enterprise customers.
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Support product adoption and customer expansion initiatives by integrating cloud and AI solutions into broader transformation strategies.
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Collaborate with sales, customer success, engineering, and partner teams to scope, execute, and optimize technical engagements.
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Create reusable technical assets, playbooks, templates, and delivery frameworks to improve operational scalability and consistency.
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Contribute to partner-led initiatives and cloud adoption programs in collaboration with AWS and related ecosystem stakeholders.
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Maintain visibility into project risks, dependencies, and engagement milestones while ensuring strong execution discipline.
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Champion AI-native ways of working and contribute to continuous improvement of field engineering operations and delivery practices.
Requirements:
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Proven experience in cloud architecture, field engineering, technical consulting, or solutions delivery within customer-facing environments.
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Strong hands-on expertise with AWS cloud services and real-world enterprise implementations.
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Practical experience building or supporting AI and GenAI solutions using technologies such as Amazon Bedrock, RAG architectures, vector databases, and AI orchestration frameworks.
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Familiarity with infrastructure-as-code tools such as AWS CDK or equivalent deployment frameworks.
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Strong understanding of modern cloud-native architectures, APIs, and scalable production systems.
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Experience leading technical workshops, implementation engagements, architecture reviews, or proof-of-value initiatives.
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Excellent communication and stakeholder management skills with the ability to bridge technical and business conversations.
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Ability to operate effectively in fast-moving, ambiguous environments with strong prioritization and execution capabilities.
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Collaborative mindset with experience working across sales, delivery, engineering, customer success, and partner ecosystems.
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Ownership mentality with strong problem-solving skills and proactive risk management.
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AWS certifications and experience with MLOps, Kubernetes, cloud optimization, or platform modernization are considered strong advantages.
Benefits:
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Fully remote work environment with flexible scheduling options
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Unlimited vacation policy
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Comprehensive health insurance coverage
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Employee stock option plan
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Home office allowance
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Professional development and learning stipend
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Paid parental leave
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Collaborative and globally distributed team culture
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Opportunity to work on cutting-edge AI and cloud transformation projects
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Career growth within a fast-scaling cloud and AI-focused organization
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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