Senior Solutions Engineer, AI Data & Model Evaluation Solutions (Americas)

2 months ago

Remote, AmericasSenior

Responsibilities

Partner with Sales and senior leadership on strategic opportunities involving AI labs, model development teams, and enterprise AI organizations.
Lead discovery conversations with technical, research, product, operations, and executive stakeholders.
Translate customer requirements into solution designs, workflows, pilot plans, proposals, and implementation approaches.
Design solutions for model evaluation, multilingual data, speech/audio, transcription, expert review, post-training data, and quality workflows.
Support RFPs, RFIs, proposals, pricing assumptions, Statements of Work, and customer-facing presentations.
Coordinate with Delivery, Quality, Supply Chain, and Technology teams to ensure solutions are feasible, scalable, and commercially sound.
Support clean Sales-to-Delivery handoffs with documented requirements, assumptions, risks, and success criteria.
Build reusable solution templates, scoping frameworks, and best practices for AI data and evaluation programs.
Stay informed about model evaluation, benchmarking, RLHF, post-training data, agentic workflows, and multilingual AI trends.

At least 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, including 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.
Ability to discuss cloud-based workflows, data storage, annotation/evaluation platforms, and operational tooling with technical teams.
Familiarity with AI/ML concepts, LLM evaluation, benchmarking, RLHF/post-training workflows, or model development pipelines is preferred.
Experience supporting complex B2B sales cycles with technical, operational, and executive stakeholders.
Ability to translate ambiguous customer needs into requirements, solution designs, proposals, and delivery plans.
Experience supporting discovery, RFP/RFI responses, pilots, proposals, and customer presentations.
Strong written and verbal communication skills and sound commercial judgment across feasibility, quality, timeline, cost, and margin.
Experience with JavaScript, Java, C#, PHP, AI data services, annotation, transcription, localization, human-in-the-loop workflows, expert review, multilingual data, speech/audio, benchmark design, or global delivery models is a plus.

501-1,000 employees