Senior Solutions Engineer, AI Data – Model Evaluation Solutions

Argos Multilingual

Senior Solutions Engineer shaping scalable AI data and model evaluation solutions for Argos. Translating complex customer requirements into pilots, proposals, workflows, and delivery plans.

Posted 8/6/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Solutions Engineering and Technical Pre-Sales, with a strong focus on translating customer requirements into scalable AI solutions. Proficient in collaborating with cross-functional teams to design and implement workflows that meet complex B2B sales needs.

Highest-signal resume keywords

Solutions EngineeringPython ProgrammingSQL ProficiencyAI/ML ConceptsTechnical Communication

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data PipelinesWorkflow LogicAPIsJSONCSVXMLData ValidationModel EvaluationTranscriptionLocalization

Soft Skills

Strong Written CommunicationStrong Verbal CommunicationCommercial JudgmentAdaptabilityCollaboration

Tools & Technologies

Cloud-Based WorkflowsData StorageAnnotation PlatformsOperational ToolingIntegration Patterns

Industry Keywords

AI LabsEnterprise AIB2B Sales CyclesRFPRFIPilot ProgramsHuman-in-the-Loop WorkflowsExpert ReviewMultilingual DataBenchmark Design

Tech Stack

Tools & technologies

CloudJavaJavaScriptPHPPythonSQL

About the role

Key responsibilities & impact

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 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 solution narratives, workflow diagrams, pilot structures, and technical explanations
Collaborate with Delivery, Quality, Supply Chain, and Technology teams to ensure solutions are feasible, scalable, and commercially sound
Support Sales-to-Delivery handoffs, including requirements, assumptions, risks, and success criteria
Build reusable solution templates, scoping frameworks, and best practices for AI data and evaluation programs
Track industry trends in model evaluation, benchmarking, RLHF, post-training data, agentic workflows, and multilingual AI

Requirements

What you’ll need

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
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
Comfort discussing 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
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
Strong commercial judgment balancing 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 JavaScript, Java, C#, PHP, or other programming languages is a plus
Experience with AI, machine learning, data services, model evaluation, annotation, transcription, localization, LLM evaluation, RLHF, or post-training workflows is nice to have
Experience working with AI labs, enterprise AI teams, research organizations, or AI product companies is nice to have
Familiarity with human-in-the-loop workflows, expert review, multilingual data, speech/audio, quality frameworks, or benchmark design is nice to have
Experience designing pilots or proof-of-concept programs for strategic customers is nice to have
Experience working with global delivery, contractor, crowd, or expert workforce models is nice to have

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Argos Multilingual Website LinkedIn All Job Openings 201 - 500 employees 💼 Consulting 🏥 Healthcare 🏭 Manufacturing Consulting
Healthcare
Manufacturing 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. Senior Solutions Engineer, AI Data – Model Evaluation Solutions Job not on LinkedIn 🔥 53 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 📊 Analytics Engineer Cloud Java JavaScript PHP Python SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 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 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 solution narratives, workflow diagrams, pilot structures, and technical explanations
Collaborate with Delivery, Quality, Supply Chain, and Technology teams to ensure solutions are feasible, scalable, and commercially sound
Support Sales-to-Delivery handoffs, including requirements, assumptions, risks, and success criteria
Build reusable solution templates, scoping frameworks, and best practices for AI data and evaluation programs
Track 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
Working knowledge of Python and SQL
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
Comfort discussing 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
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
Strong commercial judgment balancing 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 JavaScript, Java, C#, PHP, or other programming languages is a plus
Experience with AI, machine learning, data services, model evaluation, annotation, transcription, localization, LLM evaluation, RLHF, or post-training workflows is nice to have
Experience working with AI labs, enterprise AI teams, research organizations, or AI product companies is nice to have
Familiarity with human-in-the-loop workflows, expert review, multilingual data, speech/audio, quality frameworks, or benchmark design is nice to have
Experience designing pilots or proof-of-concept programs for strategic customers is nice to have
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