Solutions Architect

Job description

**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 States.** As a Solutions Architect, you will serve as the technical partner for strategic enterprise customers throughout the entire customer lifecycle. You will lead technical discovery, demonstrations, proof-of-concepts, onboarding, integrations, and ongoing optimization. Working closely with Account Executives, you will translate complex customer requirements into scalable solutions across cloud, on-premises, and hybrid environments. You will collaborate directly with Data Scientists, Machine Learning Engineers, MLOps teams, and technical executives to design production-ready data and AI workflows. The role combines deep technical expertise with customer-facing leadership, business acumen, and strategic problem-solving. You will play a critical role in driving adoption, expansion, and long-term customer value while helping organizations build more effective AI and machine learning systems. ### Accountabilities - Partner with Account Executives on strategic enterprise opportunities, leading technical discovery, tailored demonstrations, architecture reviews, and proof-of-concepts using real customer data and workflows. - Drive technical onboarding by guiding customers through installation, secure configuration, and best-practice deployment across cloud, on-premises, and hybrid environments. - Architect integrations between the platform and customer artificial intelligence and machine learning workflows, data pipelines, storage systems, and enterprise technologies. - Develop custom solutions, including scripts, plug-ins, and application programming interfaces (APIs), to address unique customer requirements and extend platform capabilities. - Serve as the senior technical escalation point for strategic accounts, resolving complex technical challenges in collaboration with Product, Engineering, and Support teams. - Deliver technical enablement sessions, workshops, and documentation that help customer teams become self-sufficient and maximize platform adoption. - Act as a trusted technical advisor to customer engineering, data, and AI/ML teams throughout implementation and ongoing usage. - Support customer adoption, expansion, and long-term success by identifying opportunities to optimize workflows and increase business value. - Manage multiple complex enterprise accounts and competing priorities while maintaining a high standard of technical and customer engagement. ### **Requirements** - 5+ years of experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, Professional Services Engineer, or a similar position supporting highly technical products, ideally within enterprise Software as a Service (SaaS) or machine learning/artificial intelligence platforms. - Hands-on experience building data labeling pipelines, annotation workflows, or other components of the machine learning lifecycle, with the ability to explain technical concepts effectively to both engineers and senior executives. - Proven experience integrating SaaS platforms with machine learning pipelines and workflows, including experience deploying models to production or preparing production-ready datasets for data science teams. - Strong proficiency in Python, Representational State Transfer (REST) APIs, Linux/Unix, and Docker, with Kubernetes experience considered a plus. - Experience working with multiple customer APIs and software development kits (SDKs); JavaScript, Cascading Style Sheets (CSS), and HyperText Markup Language (HTML) experience is a plus. - Proven ability to lead technical discovery, demonstrations, and proof-of-concepts during sales cycles, followed by ownership of onboarding, implementation, troubleshooting, and custom development after the sale. - Strong business acumen and the ability to translate customer challenges into clear technical and business value propositions. - Executive presence, strong written and verbal communication skills, and the ability to engage effectively with Data Scientists, Machine Learning Engineers, and technical executives. - Strong analytical and problem-solving skills, with the ability to anticipate customer concerns and proactively address technical objections. - Comfortable managing multiple complex enterprise accounts, shifting priorities, and technically demanding customer requirements. ### **Benefits** - Base salary targeted between **$122,500–$143,500 USD**, based on experience and skills. - Variable compensation eligibility, with anticipated On-Target Earnings (OTE) of **$175,000–$205,000 USD** when objectives are met. - Stock options. - Comprehensive health benefits. - A collaborative team culture centered on transparency and collaboration. - Compensation determined based on factors including experience, expertise, and relevant industry knowledge. - Opportunity to work with advanced artificial intelligence, machine learning, data infrastructure, and enterprise technologies. - Position available across North America, with the stated compensation range applicable to the role.