Senior Solutions Architect - Data Labs (AI)

Location: Hybrid in London, New York, or the San Francisco Bay Area. Most positions involve in-office collaboration and are tied to specific locations.

Company

hirify.global builds an end-to-end AI platform for structuring data, automating workflows, deploying agentic solutions, measuring outcomes, and integrating human expertise.

What you will do

• Design human-data projects and pilots for frontier AI training and evaluation.
• Translate ambiguous client research requests into clear, executable methodologies and scalable programs.
• Advise on supervised fine-tuning, preference data, RLHF, benchmarks, evaluations, red teaming, multimodal data, coding tasks, and agent environments.
• Define task designs, annotation and evaluation workflows, expert profiles, quality strategies, data structures, and validation mechanisms.
• Estimate effort, expert supply, timelines, costs, and feasibility while balancing research value and delivery constraints.
• Partner with clients, Project Leads, Engineering, account teams, and expert operations through discovery, handoff, and early delivery.

Requirements

• Strong understanding of how frontier AI models are trained, improved, and evaluated.
• Working knowledge of LLM training and evaluation across data modalities, collection methods, and research objectives.
• Exceptional communication, stakeholder management, judgment, and ability to clarify underspecified requests.
• Technical fluency in machine learning, data systems, software architecture, APIs, and data flows.
• Commercial judgment and comfort with rough-cut budgeting, timelines, expert availability, delivery effort, and unit economics.
• Experience working across multiple stakeholders or teams in ambiguous and continuously evolving environments.

Nice to have

• Background in computer science, software engineering, machine learning, data science, AI research, technical product, or solutions architecture.
• Experience with human-data programs, data annotation, model post-training, RLHF, RLVR, evaluations, benchmarks, red teaming, or research operations.
• Experience partnering with AI researchers, research engineers, or technical program managers.
• Hands-on experience with Python, SQL, APIs, notebooks, or lightweight prototyping.
• Experience designing tools or workflows for specialized users where expert judgment and data quality are central.

Culture & Benefits

• Ownership, autonomy, and a fast-paced environment focused on turning ambiguity into opportunity.
• Direct exposure to frontier AI researchers, program leaders, and major AI clients.
• Opportunities to influence products, systems, reusable methodologies, and emerging best practices.
• Full-time offers include bonuses and equity.
• Compensation is adjusted by geographic pay tier, location, experience, skills, internal equity, and market conditions.
• Reasonable accommodations are available throughout the application and interview process.

Hiring process

• Compensation tier and location details are confirmed by the Talent Acquisition Partner during the interview process.
• AI may be used to support the interview process and application screening.