Solutions Architect
New
J
JobgetherAI & Machine Learning
Based in United StatesFull-TimeSenior
SalaryBase salary targeted between $122,500–$143,500 USD, with anticipated On-Target Earnings (OTE) of $175,000–$205,000 USD
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Job Details
- Experience
- 5+ years
- Required Skills
- DockerPythonArtificial IntelligenceKubernetesMachine LearningRESTful APIsLinuxSaaS
Requirements
- 5+ years of experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, or Professional Services Engineer.
- Experience supporting highly technical products, ideally within enterprise SaaS or machine learning/artificial intelligence platforms.
- Hands-on experience building data labeling pipelines, annotation workflows, or other components of the machine learning lifecycle.
- Proven experience integrating SaaS platforms with machine learning pipelines and workflows, including deploying models to production.
- Strong proficiency in Python, REST APIs, Linux/Unix, and Docker.
- Proven ability to lead technical discovery, demonstrations, and proof-of-concepts during sales cycles.
- Experience with ownership of onboarding, implementation, troubleshooting, and custom development after the sale.
- Strong business acumen and the ability to translate customer challenges into technical and business value propositions.
- Executive presence and ability to engage effectively with Data Scientists, ML Engineers, and technical executives.
- Kubernetes experience is considered a plus.
- JavaScript, CSS, and HTML experience is a plus.
Responsibilities
- Partner with Account Executives on strategic enterprise opportunities, leading technical discovery, tailored demonstrations, architecture reviews, and proof-of-concepts.
- 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.
- 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 maximize platform adoption.
- Act as a trusted technical advisor to customer engineering, data, and AI/ML teams throughout implementation and ongoing usage.
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