Senior Solutions Engineer, AI Data & Model Evaluation Solutions

About the role

The Senior Solutions Engineer will help design and scale advanced AI data and model evaluation solutions for sophisticated technology customers. This role sits at the intersection of artificial intelligence, solution architecture, customer engagement, and business strategy.

Responsibilities

• Design customer-focused AI solutions
• Support strategic opportunities involving AI labs, model developers, and enterprise AI organizations
• Lead discovery sessions with technical, research, product, operational, and executive stakeholders
• Translate complex customer requirements into solution designs, workflows, pilot plans, proposals, and implementation strategies
• Develop customer-facing materials including technical explanations, solution narratives, workflow diagrams, and pilot structures
• Collaborate with delivery, quality, technology, and operations teams to ensure solutions are scalable, feasible, and aligned with business goals
• Build reusable frameworks, templates, and best practices for AI data and evaluation programs
• Stay updated on developments in AI evaluation, benchmarking, reinforcement learning from human feedback (RLHF), post-training workflows, and emerging AI technologies

Requirements

• 6+ years of experience in Solutions Engineering, Solutions Consulting, Technical Pre-Sales, AI Data Services, ML/Data Operations, Enterprise Technology, or related fields
• Experience supporting complex B2B sales cycles involving technical, operational, and executive stakeholders
• Ability to transform unclear customer challenges into structured requirements, solution designs, proposals, and delivery plans
• Strong written and verbal communication skills with the ability to explain technical concepts clearly
• Strong commercial judgment and ability to balance customer expectations, quality, feasibility, timelines, costs, and business impact
• Comfortable working in dynamic environments where processes and solutions continue to evolve
• Experience with AI, machine learning, data services, model evaluation, annotation, transcription, localization, LLM evaluation, RLHF, or post-training workflows is preferred
• Experience working with AI labs, enterprise AI teams, research organizations, or AI-focused technology companies is a plus
• Familiarity with human-in-the-loop workflows, multilingual data, speech/audio solutions, quality frameworks, or benchmark development is desirable
• Experience designing proof-of-concept programs or working with global delivery models is an advantage

Benefits

• Full-time remote work environment
• Opportunity to work on cutting-edge AI data and model evaluation initiatives
• Exposure to leading AI organizations and complex enterprise technology projects
• High-impact role with the opportunity to influence solution strategy and business growth
• Collaborative environment with cross-functional teams across sales, technology, operations, and delivery
• Opportunity to build scalable frameworks and contribute to the evolution of AI solutions
• Professional growth in a rapidly developing artificial intelligence ecosystem