
AI Solutions Engineer – Architect
Posted 2 hours ago

Posted 2 hours ago
This is a fully remote position, open to applicants in United Kingdom, +2 more states.
• Develop and create reusable AI and agentic functionalities, encompassing MCP-based integrations, retrieval pipelines, and libraries for prompts and agents.
• Collaborate with embedded AI advocates to define, prototype, and implement function-specific applications.
• Manage the frameworks for model evaluation, selection, and optimization, focusing on cost, accuracy, and latency.
• Establish and maintain evaluation and testing frameworks featuring measurable accuracy and safety validations prior to deployment.
• Enforce responsible AI protocols for data management, hallucination mitigation, and human-in-the-loop checkpoints.
• Design AI systems that are scalable, secure, and add value across product, data, and support initiatives.
• Create documentation for technical standards and patterns, facilitating self-service capabilities for teams on the platform.
• Contribute to the creation of internal training materials and hold office hours for AI advocates and business-unit personnel.
• Develop shared AI platforms and capabilities that promote adoption throughout BCD’s worldwide operations.
• Provide production-quality AI solutions while enhancing platform reliability, accuracy, reusability, governance, and workflow integration.
• Minimum of 4 years in ML/AI engineering, solutions architecture, or applied data science.
• Experience as a founder or in an early-stage startup is essential.
• Practical experience in building or launching products within a resource-limited startup setting.
• Knowledge of retrieval-augmented generation, prompt/agent frameworks, and integration protocols like MCP and API-based tools.
• Experience in developing for enterprise data environments with stringent privacy and compliance standards.
• Capability to engage directly with non-technical business stakeholders to convert operational challenges into technical solutions.
• Familiarity with evaluation frameworks for assessing LLM output quality, safety, and drift monitoring.
• Required experience in travel, hospitality, or B2B services industries.
• Ideal experience with production-level LLM or agentic-AI systems.
• Passion for building, experimenting, and delivering solutions with measurable impact.
• Opportunity to develop enterprise-scale AI products.
• Freedom to innovate and experiment.
• Access to state-of-the-art AI technologies.
• Direct collaboration with business leaders.
• Global flexibility for remote work.
• Meaningful ownership and impactful contributions.
• A culture that promotes innovation, ownership, and experimentation.
• Open communication, collaboration, and a flexible work-life balance.
• Unique, often global experiences that empower your personal and professional growth within the organization.
• Participation in charitable activities across communities worldwide.
• Flexible working hours.
• Opportunities for remote or work-from-home arrangements.
• Chances to enhance your skills and advance your career.
• Generous vacation policy.
• Compensation package that includes mental, physical, and financial wellbeing resources.
• Travel industry-related professional perks and discounts.
• An inclusive work environment that celebrates diversity.
• Reasonable and necessary accommodations provided.
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