Senior Solutions Engineer, AI Data & Model Evaluation Solutions [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Solutions Engineer, AI Data & Model Evaluation Solutions based in United States.

We are seeking a Senior Solutions Engineer to help design and scale advanced AI data and model evaluation solutions for sophisticated technology customers.
This role sits at the intersection of artificial intelligence, solution architecture, customer engagement, and business strategy.
You will work closely with AI teams, technical stakeholders, and commercial teams to transform complex challenges into scalable solutions.
The position requires a strong understanding of AI workflows, data operations, and evaluation processes, combined with excellent communication skills.
You will contribute to shaping solution frameworks, improving delivery readiness, and supporting strategic customer initiatives.
This is an opportunity to influence the future of AI development while working in a fast-moving, innovative environment.

Accountabilities:

The Senior Solutions Engineer will be responsible for designing customer-focused AI solutions, supporting strategic opportunities, and ensuring alignment between customer needs, commercial objectives, and operational execution. The role requires a consultative mindset, technical fluency, and the ability to collaborate across multiple teams.

• Partner with sales teams and leadership on strategic opportunities involving AI labs, model developers, and enterprise AI organizations.
• Lead discovery sessions with technical, research, product, operational, and executive stakeholders to understand business and AI development challenges.
• Translate complex customer requirements into solution designs, workflows, pilot plans, proposals, and implementation strategies.
• Design solutions related to AI data services, model evaluation, multilingual datasets, speech and audio workflows, transcription, expert review, and post-training processes.
• Support RFPs, RFIs, pricing assumptions, statements of work, and other commercial documentation.
• Develop customer-facing materials including technical explanations, solution narratives, workflow diagrams, and pilot structures.
• Collaborate with delivery, quality, technology, and operations teams to ensure solutions are scalable, feasible, and aligned with business goals.
• Support successful transitions from sales processes to delivery execution by documenting requirements, assumptions, risks, and success criteria.
• Build reusable frameworks, templates, and best practices for AI data and evaluation programs.
• Stay updated on developments in AI evaluation, benchmarking, reinforcement learning from human feedback (RLHF), post-training workflows, and emerging AI technologies.

Requirements:

The ideal candidate is a senior solutions professional with experience supporting complex technology initiatives and engaging with technical customers. This role requires the ability to combine customer understanding, commercial awareness, and technical knowledge to create practical AI-focused solutions.

• 6+ years of experience in Solutions Engineering, Solutions Consulting, Technical Pre-Sales, AI Data Services, ML/Data Operations, Enterprise Technology, or related fields.
• Experience supporting complex B2B sales cycles involving technical, operational, and executive stakeholders.
• Ability to transform unclear customer challenges into structured requirements, solution designs, proposals, and delivery plans.
• Experience with discovery processes, RFP/RFI responses, pilot programs, proposals, and customer presentations.
• Strong written and verbal communication skills with the ability to explain technical concepts clearly.
• Strong commercial judgment and ability to balance customer expectations, quality, feasibility, timelines, costs, and business impact.
• Comfortable working in dynamic environments where processes and solutions continue to evolve.
• Experience with AI, machine learning, data services, model evaluation, annotation, transcription, localization, LLM evaluation, RLHF, or post-training workflows is preferred.
• Experience working with AI labs, enterprise AI teams, research organizations, or AI-focused technology companies is a plus.
• Familiarity with human-in-the-loop workflows, multilingual data, speech/audio solutions, quality frameworks, or benchmark development is desirable.
• Experience designing proof-of-concept programs or working with global delivery models is an advantage.

Benefits:

• Fully remote work environment.
• Opportunity to work on cutting-edge AI data and model evaluation initiatives.
• Exposure to leading AI organizations and complex enterprise technology projects.
• High-impact role with the opportunity to influence solution strategy and business growth.
• Collaborative environment with cross-functional teams across sales, technology, operations, and delivery.
• Opportunity to build scalable frameworks and contribute to the evolution of AI solutions.
• Professional growth in a rapidly developing artificial intelligence ecosystem.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.