Senior Solutions Engineer, AI Data & Model Evaluation

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Argos Multilingual

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

Argos Multilingual is a global language-services provider that delivers translation, localization, and multilingual content solutions combining human expertise with AI-first technology. The company offers translation and localization, multimedia services, language quality evaluation and ownership programs, content and linguistic asset management, and AI/LLM data solutions (data collection, annotation, evaluation, RLHF, and custom machine translation) through its MosAIQ suite of enterprise tools. Argos serves B2B customers across regulated and technical sectors—life sciences, medical/healthcare, technology, finance, manufacturing, and retail—focusing on accuracy, compliance, and scalable AI-enabled workflows.

📋 Description

• 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.