Solutions Architect, Welocalize

• O Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field.
• O Advanced degree (e.g., Master’s or PhD) is a plus
• O 3+ years in solutioning, technical architecture, or project management roles, preferably in the AI/ML or data services industry
• O Proven success in designing and implementing data-centric solutions for enterprise clients
• O Strong understanding of AI/ML workflows, data annotation/collection processes, and quality assurance frameworks
• O Demonstrated experience creating competitive pricing models and cost analyses
• O Exceptional communication and presentation skills, with the ability to explain technical solutions to non-technical stakeholders
• O Proficiency in using project management tools and CRM software
• We are seeking a driven, solutions-oriented individual who thrives in a fast-paced environment
• The ideal candidate is a strategic thinker, capable of balancing client needs with organizational goals
• They should be adaptable, innovative, and collaborative, with a passion for delivering impactful AI solutions and at least 3 years of relevant experience

Desirable

• The Solutions Architect will be a key player in understanding client requirements and translating them into actionable, scalable solutions. You will work closely with our sales, operations, and recruitment teams to design, price, and execute custom AI and data services projects
• This role will require expertise in solutioning and pricing projects for large-scale machine learning (ML) and generative AI applications, including large language models (LLMs). You will need a deep understanding of AI workflows, data annotation/collection strategies, and cost optimization techniques
• We’re seeking someone with experience who is both strategic and hands-on, capable of leveraging their expertise to craft innovative solutions and effectively articulate their value to customers
• Solution Design: Lead the creation of end-to-end data and AI/ML solutions tailored to meet client requirements
• O Analyze customer use cases to identify the best approach for data collection, annotation, and quality assurance
• O Ensure scalability, cost-effectiveness, and alignment with customer goals
• O Develop and validate competitive pricing models based on project scope, timelines, and deliverables
• O Collaborate with internal teams to ensure profitability while meeting client expectations
• O Provide insights and solutions for projects involving large language models, including fine-tuning and prompt optimization
• O Understand and articulate the data requirements specific to training LLMs or other generative AI models
• O Work closely with sales teams during pre-sales to present solutions and address client inquiries
• O Liaise with delivery teams to ensure seamless project handoff and execution
• Proposal Development: Create and present detailed proposals, including technical workflows, pricing structures, and project timelines, to customers
• Market Research and Innovation: Stay informed about industry trends, emerging technologies, and competitor strategies to keep our solutions at the forefront of the market