Senior Solutions Architect

GermanyRemoteFull-timesenior

EngineeringSoftware Architect

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Solutions Architect based in Germany. This is a senior,

Technical Tools

EngineeringSoftware Architect

This is a senior, customer-facing technical role focused on helping enterprise customers move complex AI voice solutions from architecture through production.
You’ll own post-sales technical engagements across EMEA, solving challenging integration, performance, deployment, and reliability problems.
The role combines solutions architecture, hands-on engineering, technical consulting, and Tier-3 troubleshooting.
You’ll work closely with Sales, Customer Success, Product, Engineering, and Developer Relations to turn customer needs into scalable technical solutions.
You’ll also contribute to pre-sales discovery, proof-of-concepts, technical documentation, automation, and reusable implementation patterns.
The environment is remote, international, fast-moving, and highly collaborative, with an emphasis on practical execution and operational excellence.
The role requires comfort working across code, containers, cloud infrastructure, APIs, security, and enterprise production environments.

Lead the architecture and implementation of enterprise deployments involving speech-to-text, text-to-speech, and voice-agent technologies.
Own post-sales technical success for assigned EMEA customers, helping unblock integrations, improve accuracy and latency, and achieve stable production deployments.
Act as a Tier-3 technical escalation point, leading root-cause analysis, developing mitigations, and creating durable fixes or automation where appropriate.
Design reference architectures and repeatable implementation patterns for use cases such as contact centers, voice analytics, quality assurance, and AI agents.
Build practical samples, scripts, internal tools, and other reusable assets that simplify customer implementations and internal workflows.
Support pre-sales discovery and proof-of-concept engagements where deeper technical expertise is required, translating business objectives into concrete technical plans and measurable success criteria.
Partner with Product and Engineering teams to communicate customer feedback, prioritize fixes and features, and influence the product roadmap.
Develop and maintain runbooks, playbooks, deployment guides, troubleshooting resources, and other knowledge assets that scale technical expertise across regions.
Participate in regional on-call and incident-response rotations, helping maintain agreed customer support levels and service expectations.
Collaborate with global teams across EMEA, the Americas, and APAC to provide continuous technical coverage and consistent customer experiences.
Travel within the region approximately 10–20% of the time for critical customer milestones when required.

Requirements

~2 min read

5+ years of experience in Solutions Architecture, Solutions Engineering, or a comparable customer-facing technical role.
Professional software engineering experience in at least one language such as Python, Rust, or JavaScript, with the ability to build production-quality proof-of-concepts and tools.
Hands-on experience with modern cloud platforms, containerization, and orchestration technologies such as Docker and Kubernetes.
Strong understanding of secure network design and API-driven systems.
Demonstrated ownership of complex post-sales initiatives, including production deployments, migrations, performance optimization, and incident response.
Ability to work comfortably across application code, containers, cloud infrastructure, APIs, and production environments.
Excellent written and verbal communication skills, with the ability to communicate effectively with both technical specialists and executive stakeholders.
Strong problem-solving skills and an ability to translate ambiguous customer requirements and operational constraints into clear architectures and implementation plans.
Familiarity with GDPR, data privacy, enterprise security reviews, authentication, authorization, and data residency considerations relevant to EMEA customers.
Experience with speech recognition, text-to-speech, or voice agents integrating LLMs is highly valued.
Knowledge of WER analysis, model selection and tuning, and accuracy-versus-latency trade-offs is advantageous.
Experience operating self-hosted systems, including Helm-based deployments and production observability, is a plus.
Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish is advantageous.
Comfortable working remotely from Germany or another eligible EMEA location with reliable overlap with customer business hours.