Senior Solutions Engineer, AI Data & Model Evaluation Solutions (Americas)
RemoteUnited States
Job Summary
Partner with Sales and senior leadership on strategic customer opportunities with AI labs, frontier model developers, and enterprise AI teams. Lead discovery conversations with technical, research, product, operations, and executive stakeholders to translate ambiguous model development challenges into practical solutions. Design scalable programs across human data, expert review, multilingual evaluation, speech/audio, transcription, and post-training workflows. Support RFPs, RFIs, proposals, pricing assumptions, and Statements of Work while creating customer-facing materials including solution narratives and workflow diagrams. Work closely with Delivery, Quality, Supply Chain, and Technology teams to ensure proposed solutions are feasible, scalable, and commercially sound. Build reusable solution templates, scoping frameworks, and best practices for AI data and evaluation programs.
Required Qualifications
- 6+ years of experience in Solutions Engineering, Solutions Consulting, Technical Pre-Sales, AI Data Services, ML/Data Operations, Enterprise Technology, or a related role
- Working knowledge of Python and SQL, with the ability to understand data pipelines, workflow logic, data validation, and customer technical requirements
- Hands on experience with APIs, JSON, CSV, XML, data schemas, file transfer methods, and common integration patterns
- Comfortable discussing cloud-based workflows, data storage, annotation/evaluation platforms, and operational tooling with customer and internal technical teams
- Experience supporting complex B2B sales cycles with technical, operational, and executive stakeholders
- Strong ability to translate ambiguous customer needs into clear requirements, solution designs, proposals, and delivery plans
- Experience supporting discovery, RFP/RFI responses, pilots, proposals, and customer presentations
- Strong written and verbal communication skills
- Strong commercial judgment, with the ability to balance customer needs, feasibility, quality, timeline, cost, and margin
- Comfort working in a fast-moving environment where solutions and processes are still being built
Desired Qualifications
- Familiarity with AI/ML concepts, LLM evaluation, benchmarking, RLHF/post-training workflows, or model development pipelines
- Experience with JavaScript, Java, C#, PHP, or other programming languages
- Experience with AI, machine learning, data services, model evaluation, annotation, transcription, localization, LLM evaluation, RLHF, or post-training workflows
- Experience working with AI labs, enterprise AI teams, research organizations, or AI product companies
- Familiarity with human-in-the-loop workflows, expert review, multilingual data, speech/audio, quality frameworks, or benchmark design
- Experience designing pilots or proof-of-concept programs for strategic customers
- Experience working with global delivery, contractor, crowd, or expert workforce models
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