Solutions Architect- AI Data Services

Welocalize; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical Insurance

Telemedicine Benefit

Dental Insurance

Vision Insurance

FSA and HSA

Life and Disability Insurance

Unlimited Vacation Time

401(k) Retirement Plan

Paid Maternity Leave

Paid Adoption Leave

Job summary

A leading AI solutions provider in the United States is looking for a Director of AI Solutions & Deal Desk. The role involves acting as the technical voice in pre-sales engagements, designing solution architectures, and building prototypes. Ideal candidates should have over 2 years of experience in related roles with strong skills in data workflows and communication. This position offers a salary range of $120K to $150K and a comprehensive benefits package, including unlimited vacation.

Qualifications

• 2+ years in a Solutions Architect or related role.
• Strong understanding of data workflows in AI/ML.
• Comfort with scripting (Python, SQL) and working with datasets.

Responsibilities

• Act as the technical voice in pre-sales engagements.
• Design and document solution architectures.
• Build prototypes or technical proofs-of-concept.

Skills

Solutions Architecture

AI/ML understanding

Data workflows

Communication skills

Tools

Label Studio

Amazon SageMaker Ground Truth

Job description

Overview

Director, AI Solutions & Deal Desk at Welo Data | Powering GenAI with Scalable, High-Quality Data

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:

• ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.
• ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.
• DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.
• RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.

Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.

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.

Benefits

• Medical Insurance
• Telemedicine Benefit
• Dental Insurance
• Vision Insurance
• FSA and HSA
• Life and Disability Insurance
• Vacation Time: Unlimited
• Sick Time: 6 days per year
• Employee Assistance Program
• 401(k) Retirement Plan
• Paid Maternity Leave
• Paid Adoption Leave

Salary Range

$120K to $150K

Job Details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Translation and Localization

Note: This description reflects the key responsibilities, qualifications, and benefits of the role as originally described. It has been reformatted for clarity and accessibility while preserving the content.