Senior Solutions Engineer, AI Data – Model Evaluation Solutions

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Sales and senior management on strategic customer initiatives involving AI labs, model development teams, and enterprise AI organizations.

• Conduct discovery discussions with technical, research, product, operations, and executive stakeholders.

• Convert customer needs into solution designs, workflows, pilot plans, proposals, and implementation strategies.

• Develop solutions that encompass model evaluation, multilingual data, speech/audio, transcription, expert review, post-training data, and quality workflows.

• Assist with RFPs, RFIs, proposals, pricing assumptions, and Statements of Work.

• Generate customer-facing solution narratives, workflow diagrams, pilot structures, and technical descriptions.

• Work together with Delivery, Quality, Supply Chain, and Technology teams to ensure solutions are viable, scalable, and commercially sound.

• Facilitate Sales-to-Delivery transitions, including requirements, assumptions, risks, and success criteria.

• Create reusable solution templates, scoping frameworks, and best practices for AI data and evaluation programs.

• Monitor industry trends in model evaluation, benchmarking, RLHF, post-training data, agentic workflows, and multilingual AI.

⛳️ Requirements

• A minimum of 6 years of experience in Solutions Engineering, Solutions Consulting, Technical Pre-Sales, AI Data Services, ML/Data Operations, Enterprise Technology, or a similar field.

• Proficient in Python and SQL.

• Ability to comprehend data pipelines, workflow logic, data validation, and customer technical requirements.

• Practical experience with APIs, JSON, CSV, XML, data schemas, file transfer methods, and standard integration patterns.

• Comfortable discussing cloud-based workflows, data storage, annotation/evaluation platforms, and operational tools with technical teams.

• Familiarity with AI/ML concepts, LLM evaluation, benchmarking, RLHF/post-training workflows, or model development pipelines.

• Experience in supporting complex B2B sales cycles involving technical, operational, and executive stakeholders.

• Ability to interpret ambiguous customer needs into requirements, solution designs, proposals, and delivery plans.

• Experience aiding in discovery, RFP/RFI responses, pilots, proposals, and customer presentations.

• Excellent written and verbal communication skills.

• Strong commercial judgment in balancing customer needs, feasibility, quality, timelines, costs, and margins.

• Comfortable working in a dynamic environment where solutions and processes are still evolving.

• Experience with JavaScript, Java, C#, PHP, or other programming languages is a plus.

• Familiarity with AI, machine learning, data services, model evaluation, annotation, transcription, localization, LLM evaluation, RLHF, or post-training workflows is an advantage.

• Experience collaborating with AI labs, enterprise AI teams, research organizations, or AI product companies is beneficial.

• Understanding of human-in-the-loop workflows, expert review, multilingual data, speech/audio, quality frameworks, or benchmark design is a plus.

• Experience in designing pilots or proof-of-concept programs for strategic customers is a plus.

• Experience working with global delivery, contractor, crowd, or expert workforce models is a plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional growth and development.

• Flexible working hours and remote work options.

• Engaging work environment with a focus on innovation.