Solutions Architect

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 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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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