Senior Solutions Engineer, AI Data – Model Evaluation Solutions
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Job Description
Senior Solutions Engineer shaping scalable AI data and model evaluation solutions for Argos. Translating complex customer requirements into pilots, proposals, workflows, and delivery plans.
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 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
- Experience working with global delivery, contractor, crowd, or expert workforce models is nice to have
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