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

Argos Multilingual is seeking a Senior Solutions Engineer to help shape and scale their AI Data Solutions, collaborating with leading AI labs and enterprise AI teams. This role focuses on translating customer needs into practical solutions and designing scalable programs across various AI workflows.

Responsibilities:

• Partner with Sales and senior leadership on strategic customer opportunities with AI labs, model development teams, and enterprise AI organizations
• Lead discovery conversations with technical, research, product, operations, and executive stakeholders
• Translate customer requirements into clear solution designs, workflows, pilot plans, proposals, and implementation approaches
• Design solutions across model evaluation, multilingual data, speech/audio, transcription, expert review, post-training data, and quality workflows
• Support RFPs, RFIs, proposals, pricing assumptions, and Statements of Work
• Create customer-facing materials including solution narratives, workflow diagrams, pilot structures, and technical explanations
• Work closely with Delivery, Quality, Supply Chain, and Technology teams to ensure proposed solutions are feasible, scalable, and commercially sound
• Support clean handoff from Sales to Delivery, including requirements, assumptions, risks, and success criteria
• Build reusable solution templates, scoping frameworks, and best practices for AI data and evaluation programs
• Stay close to industry trends in model evaluation, benchmarking, RLHF, post-training data, agentic workflows, and multilingual AI

Requirements:

• 6+ years of experience in Solutions Engineering, Solutions Consulting, Technical Pre-Sales, AI Data Services, ML/Data Operations, Enterprise Technology, or a related role
• 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
• 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