Pre - sales Engineer - Data Services

Pre-Sales Engineer - Data Services

We're looking for a versatile, hands-on Pre-Sales Engineer who thrives at the intersection of strategy and technical execution. In this role, you'll work with internal teams and prospective clients to shape, scope, and deliver AI data solutions that are both scalable and technically sound. You'll support pre-sales engagements, architect end-to-end workflows, and contribute to internal tools and process innovation. This role is ideal for someone who understands the AI/ML data lifecycle and enjoys problem-solving across business, data, and engineering domains.

Main Duties

• Act as the technical voice in pre-sales engagements, translating customer needs into actionable solutions.
• Design and document solution architectures for data collection, annotation, evaluation, and enrichment project.
• Build prototypes or light technical proofs-of-concept to support customer discussions and internal innovation.
• Work with Delivery, Engineering, and Product to ensure seamless implementation and handoff of solutions.
• Evaluate and recommend technical tooling (e.g. annotation platforms, automation tools, QA frameworks).
• Develop and maintain reusable solution templates, documentation, and best practices.
• Participate in RFP/RFI responses by contributing technical input and solution narratives.
• Stay informed on AI data trends, GenAI applications, and customer pain points to shape Welo's offerings.

Qualifications

• 2+ years in a Solutions Architect, Solutions Engineer, or related role, preferably in data services, AI/ML, or software.
• Strong understanding of data workflows in AI/ML, including annotation, LLM training/evaluation, or content moderation.
• Familiarity with data tooling (e.g., Label Studio, Amazon SageMaker Ground Truth, or similar).
• Comfort with scripting (Python, SQL) and working with structured/unstructured datasets.
• Ability to interface with both technical and non-technical stakeholders.
• Excellent communication skills, clear, concise, and customer-focused.
• Experience with GenAI, RAG pipelines, or LLM evaluation a plus.

Nice to Have

• Experience supporting global data operations at scale.
• Background in linguistics, NLP, or computer vision projects.
• Familiarity with APIs, basic cloud services, or building internal dashboards/tools.