Solutions Architect (Enterprise)

• Scale builds enterprise AI systems deployed into production
• As a Solutions Architect, you lead technical execution for enterprise deals in your vertical from initial discovery through deal close, and remain involved post-sale to support account growth
• You own an assigned set of enterprise accounts
• You conduct technical discovery, evaluate technical feasibility, build solution prototypes, and serve as the main technical point of contact for customer engineering and leadership teams
• You work alongside three primary partners: the Account Executive (commercial owner), the Project Manager (delivery owner), and the Tech Lead (engineering lead for implementation)
• Technical discovery and qualification. Lead technical discovery and complete the Technical Qualification Checklist, evaluating feasibility, data readiness, integration requirements, security/compliance, evaluation readiness, and stakeholder alignment. Provide clear go/no-go recommendations for prospective deals
• Evaluation and success criteria. Define performance metrics and evaluation criteria before proposal stage, including quality dimensions, baselines, evaluation datasets, and subject-matter expert access requirements
• Customer workshops. Lead executive technical workshops for target use cases. Prepare pre-read materials and build working prototypes or live demos to validate proposed technical architectures
• Statement of Work (SOW) input. Supply the technical input package for SOW creation (architectural approach, prototype findings, risks, dependencies, and assumptions) and review draft SOWs for technical accuracy
• Post-sale account engagement. Maintain long-term technical engagement with signed accounts, identify expansion opportunities for new use cases, and share delivery feedback with GTM teams
• Vertical technical assets. Develop reference architectures, demo environments, discovery templates, and evaluation frameworks for your assigned industry vertical

Benefits

• Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
• Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
• Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
• Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

• Ability to rapidly build proof-of-concept prototypes for customer requirements
• Clear technical communication and problem-solving skills when addressing unknown requirements
• Domain expertise in financial services, healthcare/life sciences, or consumer verticals
• Practical knowledge of Generative AI and LLM architecture in production environments, including system design and reliability considerations
• Experience managing technical discovery and evaluation for enterprise sales cycles, including security reviews and technical qualification
• Ability to design evaluation methodologies and metrics for complex technical requirements
• Engineering background with customer-facing experience in solutions architecture, sales engineering, forward-deployed engineering, or technical consulting. Hands-on proficiency in Python or equivalent language
• Effective communication skills across both technical staff and executive stakeholders
• Experience building or scaling a solutions engineering practice or playbook
• Background in forward-deployed engineering or shipping production ML systems
• Experience creating large-scale evaluation datasets alongside domain experts
• Experience with domain compliance requirements: model risk management and fair lending (FSI), HIPAA and clinical safety (HCLS), or high-volume quality measurement (Consumer)