Solutions Architect (APAC)
The Solutions Architect is responsible for designing scalable, highly-available infrastructure for AI platform deployments including compute, storage, networking, security, enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines. They also design multi-agent systems using different patterns, implement agent logic with modern frameworks (langchain/langgraph), create evaluation frameworks, optimize prompts with A/B testing, and guide deployment and operations. Additionally, they lead technical maturity assessments, work directly with enterprise customers to understand requirements and offer recommendations, and collaborate with Engagement Managers and Product/Engineering teams.
Trust Engineer
Own the implementation and optimization of Harvey's compliance automation tooling to automate workflows across compliance programs; design and build a compliance data layer in Snowflake by ingesting signals from infrastructure, security tools, and SaaS platforms to create a real-time view of control health and audit readiness; develop AI agents and automated pipelines for evidence collection, control testing, and continuous monitoring at scale; partner with Engineering and Security to map technical implementations to compliance controls and maintain a living, accurate control inventory; build reporting layers that translate compliance signals into clear narratives on risk posture and certification status for executive and cross-functional audiences.
Deep Learning Engineer II
Lead the research, development, and deployment of state-of-the-art deep learning models for perception of urban scenes in production environments. Architect and optimize complex machine learning systems for scalability, efficiency, and robustness, utilizing cloud-native technologies. Develop and implement training techniques such as data augmentation or model distillation pipelines to improve model robustness under diverse urban and environmental conditions. Explore and integrate novel multi-modal foundational AI models, including large Vision-Language Models (VLMs), and develop strategies for their effective fine-tuning and adaptation to specific domain challenges. Drive innovation in model compression, quantization, and efficient inference techniques to optimize performance for both cloud and edge device deployments. Collaborate with cross-functional teams to define machine learning roadmaps, evaluate new technologies, and contribute to the overall technical strategy. Conduct research, and evaluate emerging deep learning techniques applicable to perception and intelligent mobility.
Go-to-Market - Monterrey, Mexico
Own the end-to-end technical onboarding experience for new enterprise customers, from kickoff through successful integration. Build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value. Serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions. Diagnose integration issues across customer environments (APIs, data pipelines, cloud infrastructure) and drive them to resolution. Collaborate closely with product and engineering to surface customer feedback and influence the roadmap. Develop reusable onboarding playbooks and internal tooling to scale the deployment process. Travel to customer sites occasionally for critical onboarding milestones or technical workshops.
Go-to-Market - Milan, Italy
Own the end-to-end technical onboarding experience for new enterprise customers from kickoff through successful integration. Build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value. Serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions. Diagnose integration issues across customer environments including APIs, data pipelines, and cloud infrastructure and drive them to resolution. Collaborate closely with product and engineering teams to surface customer feedback and influence the product roadmap. Develop reusable onboarding playbooks and internal tooling to scale the deployment process. Occasionally travel to customer sites for critical onboarding milestones or technical workshops.
Go-to-Market - Budapest, Hungary
As a Forward Deployment Engineer, you will own the end-to-end technical onboarding experience for new enterprise customers, from kickoff through successful integration. You will build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value. Serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions. Diagnose integration issues across customer environments (APIs, data pipelines, cloud infrastructure) and drive them to resolution. Collaborate closely with product and engineering teams to surface customer feedback and influence the product roadmap. Develop reusable onboarding playbooks and internal tooling to scale the deployment process. You may occasionally travel to customer sites for critical onboarding milestones or technical workshops.
Go-to-Market - Cardiff, United Kingdom
Own the end-to-end technical onboarding experience for new enterprise customers, from kickoff through successful integration. Build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value. Serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions. Diagnose integration issues across customer environments (APIs, data pipelines, cloud infrastructure) and drive them to resolution. Collaborate closely with product and engineering to surface customer feedback and influence the roadmap. Develop reusable onboarding playbooks and internal tooling to scale the deployment process. Travel to customer sites occasionally for critical onboarding milestones or technical workshops.
Go-to-Market - Ljubljana, Slovenia
As a Forward Deployment Engineer at Speechify, you will own the end-to-end technical onboarding experience for new enterprise customers, from kickoff through successful integration. You will build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value. Serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions. Diagnose integration issues across customer environments including APIs, data pipelines, and cloud infrastructure, and drive them to resolution. Collaborate closely with product and engineering teams to surface customer feedback and influence the product roadmap. Develop reusable onboarding playbooks and internal tooling to scale the deployment process. Occasionally travel to customer sites for critical onboarding milestones or technical workshops.
Go-to-Market - Dnipro, Ukraine
Own the end-to-end technical onboarding experience for new enterprise customers, from kickoff through successful integration. Build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value. Serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions. Diagnose integration issues across customer environments (APIs, data pipelines, cloud infrastructure) and drive them to resolution. Collaborate closely with product and engineering to surface customer feedback and influence the roadmap. Develop reusable onboarding playbooks and internal tooling to scale the deployment process. Travel to customer sites occasionally for critical onboarding milestones or technical workshops.
Go-to-Market - Busan, South Korea
Own the end-to-end technical onboarding experience for new enterprise customers, from kickoff through successful integration; build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value; serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions; diagnose integration issues across customer environments (APIs, data pipelines, cloud infrastructure) and drive them to resolution; collaborate closely with product and engineering to surface customer feedback and influence the roadmap; develop reusable onboarding playbooks and internal tooling to scale the deployment process; travel to customer sites occasionally for critical onboarding milestones or technical workshops.
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