Solutions Architect

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

This is a high-impact Solutions Architect opportunity focused on bringing cutting-edge Voice AI technology to Arabic-speaking markets. You will serve as a hands-on technical partner for enterprise customers, owning implementations from initial discovery through production deployment. The role combines customer-facing solution architecture, pre-sales engineering, technical delivery, and post-launch support. You will design solutions around real-world customer environments, technical constraints, and data-residency requirements while building reusable patterns that can accelerate future engagements. As the first dedicated technical presence for the region, you will also shape the regional playbook and influence product development through direct customer insights. The environment is fast-moving, AI-first, globally distributed, and highly collaborative, with significant autonomy and technical ownership.

Accountabilities

• Own the technical design and delivery of enterprise customer implementations across the target region, from initial kickoff through production cutover and scaling.
• Lead technical discovery, solution design, demonstrations, proof-of-concepts, and technical evaluations for prospective customers in partnership with commercial teams.
• Design practical solutions that align with customer technology stacks, business requirements, operational constraints, and data-residency needs.
• Serve as a trusted technical advisor for Arabic-speaking customers, communicating effectively with both engineering teams and business or executive stakeholders.
• Represent the organization at customer meetings, industry events, and regional engagements, helping establish strong technical relationships.
• Develop reusable implementation patterns, reference architectures, deployment playbooks, and automation that can be applied across future customer projects.
• Translate lessons learned from implementations and evaluations into scalable technical approaches that shorten time to customer value.
• Bring customer feedback to Product and Research teams, particularly insights into Arabic-language model performance across different dialects and production use cases.
• Support complex post-onboarding technical cases and regional escalations, helping maintain strong customer outcomes as deployments scale.
• Contribute to expanding technical coverage across additional time zones as the global team grows.
• Balance customer delivery, pre-sales, technical enablement, documentation, product feedback, and escalations according to business priorities.
• Operate with an AI-first mindset, continuously experimenting with modern AI tools and incorporating them into technical discovery, development, solution design, and delivery workflows.

Requirements

• Native or professional-level Arabic fluency combined with excellent written and spoken English.
• Based in the MENA region or elsewhere in EMEA, in a location where the relevant employment infrastructure supports hiring.
• At least 4 years of experience implementing or deploying technical solutions for enterprise customers, ideally in a customer-facing technical role.
• Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, Rust, or a comparable language.
• Proven experience leading production technical deployments from solution design through implementation and cutover.
• Demonstrated ability to scope complex technical initiatives, break them into manageable stages, and drive successful delivery.
• Strong understanding of solution architecture, APIs, software development, system integration, and production deployment practices.
• Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly to both engineers and business stakeholders.
• Strong customer-facing skills, including active listening, technical discovery, stakeholder management, and the ability to build trust with enterprise customers.
• Comfortable working independently and taking ownership in an environment where you may be the first dedicated technical representative for a region.
• Strong adaptability and curiosity, with enthusiasm for rapidly evolving AI technologies and emerging Voice AI applications.
• Experience working across international teams, cultures, and time zones is highly valuable.
• Familiarity with multiple Arabic dialects, including Egyptian, Gulf, Levantine, or North African varieties, is an advantage.
• Experience with speech recognition, NLP, AI voice agents, or related AI technologies is a strong plus.
• Knowledge of AWS, GCP, Azure, Docker, or Kubernetes is beneficial.
• Experience with telephony and real-time media technologies such as SIP, WebRTC, and WebSocket streaming is desirable.
• French language skills are useful, particularly for North African markets.
• Familiarity with enterprise procurement, information security, and regional data-residency requirements is an advantage.

Benefits

• Opportunity to become the first dedicated technical presence for a regional market, helping establish the playbook and practices that future team members can build on.
• High-impact role combining Solutions Architecture, technical delivery, pre-sales engineering, and customer-facing innovation.
• Hands-on exposure to cutting-edge Voice AI, speech recognition, and AI agent technologies.
• Significant autonomy and ownership across customer implementations and regional technical strategy.
• Opportunity to influence product and research priorities through direct customer and market feedback.
• International, collaborative environment working closely with teams across EMEA and other global regions.
• Opportunity to build reusable technical architectures, deployment patterns, and automation that scale beyond individual customer engagements.
• Fully remote-friendly opportunity within the broader EMEA region, subject to local employment support.
• Fast-moving, AI-first working culture that encourages experimentation, continuous learning, and practical adoption of emerging technologies.