Senior Solutions Architect

Jobgether; France; À distance; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Fully remote across EMEA

Regional team meetups

Travel opportunities

Résumé du poste

Jobgether seeks a Senior Solutions Architect to drive enterprise AI voice deployments remotely across EMEA. You will own architecture, post-sales technical success, and delivery of scalable solutions, working with sales, CS, product, and engineering teams.

You will collaborate on pre-sales discovery, proofs of concept, and create reusable assets while handling Tier-3 troubleshooting and incident response in a fast-moving, international environment.

Qualifications

• 5+ years in Solutions Architecture or similar, customer-facing role.
• Experience with production-grade architectures and post-sales deployments.
• Hands-on software engineering in Python, Rust, or JavaScript.

Responsabilités

• Lead architecture and deployments for enterprise AI voice solutions.
• Own post-sales technical success and production deployments across EMEA.
• Provide Tier-3 troubleshooting, root-cause analysis, and durable fixes.

Connaissances

Python

Rust

JavaScript

Docker

Kubernetes

Cloud platforms

APIs

Communication

Outils

Docker

Kubernetes

Helm

Description du poste

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 France.

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.

Accountabilities

• 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

• 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.

Benefits

• Fully remote work across EMEA, with periodic regional team meetups.
• Opportunity to work on complex, production-grade AI voice technologies and enterprise deployments.
• Collaboration with international colleagues across EMEA, the Americas, and APAC.
• Exposure to the full customer lifecycle, spanning pre-sales, architecture, implementation, production support, and product feedback.
• Practical, hands-on environment with defined escalation paths, shared playbooks, and measurable service expectations.
• Opportunities to create reusable technical assets, automation, documentation, and implementation patterns with impact across the wider organization.
• Regional travel opportunities for important customer engagements, estimated at 10–20%.
• A fast-moving environment that encourages experimentation, continuous learning, and effective use of modern AI tools.