Role Description We are seeking an Artificial Intelligence (AI)/Machine Learning (ML) Engineer who will be responsible for managing the overall design, development, test, and implementation of an automated alert enrichment pipeline and DLP alert classifications using AI tools/solutions. Should be able to apply GenAI models as part of the solution. The solution could also include, but is not limited to: - Deep learning - Neural networks - Chatbots - Image processing Job Responsibilities: - Collaboration with the project team to understand business requirements and translate them into technical solutions. - Documenting data architecture designs, integration procedures, and data management workflows in a clear, comprehensive manner. - Development and maintenance of integrations. - Planning, conducting, and documenting results of testing and troubleshooting of developed solutions. - Monitoring and improving performance of the AI solution. - Providing technical support to end-users and resolving issues in a timely manner and helping them to understand the use of the data, ML models, and AI solutions. Qualifications - Generative AI – Advanced - AI Agents – Advanced - Machine Learning – Advanced - Large Language Models – Advanced - AI Prompting - Advanced Requirements - U.S. Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation. Desired Skills - Microsoft Purview – Advanced - Data Loss Prevention (DLP) – Advanced - Agile Methodologies - Intermediate Benefits - Comprehensive benefits package - Competitive pay

Join the Tilt team At Tilt, we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. With millions of customers worldwide, we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward. The opportunity: Agentic AI Lead (Business Transformation) Tilt is an AI-native lender moving quickly from early experimentation to full integration across our global functions. The Agentic AI Lead will partner with senior leaders to define Tilt’s future operating system as we progress in this journey. This critical role sits at the intersection of workforce reskilling and organizational transformation — leading how Tilt designs, pilots, and scales AI-powered ways of working across the company. How you'll make an impact - Design Tilt’s future operating systems: Partner with senior leaders to diagnose current pain points and co-design AI-first processes and systems that scale with the business. - Shape the “agentic” operating model: Define how Tilt integrates autonomous tools, human judgment, and systemized knowledge into everyday decision-making. - Drive measurable outcomes: Deliver technical and analytical projects that unlock speed, reduce manual effort, and increase team capacity. - Lead proof-of-concepts: Prototype and validate redesigned processes using tools like Claude, N8N, and custom GPTs/skills. Drive - Translate innovation into scale: Convert proof-of-concept learnings into scalable frameworks and playbooks that can be applied across functions. - Enable technical transformation: Collaborate with data and engineering partners to ensure our infrastructure supports demand for agentic capabilities. - Advise leadership: Act as a trusted advisor to the CEO, Head of Product, and senior leaders, aligning AI capabilities with business priorities. - Champion cultural change: Promote new ways of working that preserve Tilt’s culture of ownership while accelerating responsible AI adoption. Why you're a great fit - 8+ years of experience in business transformation, product strategy, or technical operations — ideally in high-growth or complex environments as a founder or founding/early hire - Proven success leading cross-functional initiatives that reimagine systems or workflows. - Strong technical literacy with mainstream and cutting edge AI tools and automation platforms (e.g., Claude Code/Codex/Gemini, N8N, OpenClaw, Replit). - Hands-on experience building or deploying workflow automations, agents, or custom skills. - Excellent communicator with the ability to build trust and alignment across technical and non-technical teams. - Systems thinker with a bias for execution — able to connect people, process, and technology to deliver impact. - Bachelor’s degree in a technical or quantitative field (Computer Science, Engineering, Data Science, etc.); MBA a plus. - (Preferred) Familiarity with data architecture, integration principles, and enablement/upskilling initiatives in AI-driven environments. Don’t meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you. What you'll get at Tilt - Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You’ll get started with a WFH office reimbursement. - Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. - Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. - Visibility is yours: You can count on direct exposure to our leadership team — we’re a team where good ideas travel quickly. - Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We’ve visited Vail, San Diego, and Mexico City, to name a few.) - Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines. The Tilt Way We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable — brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures. You’re pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.

• Design and implement AI-powered search and discovery features • Collaborate with product and engineering teams • Build scalable backend services and data pipelines • Integrate with frontier models to deliver intelligent user experiences • Stay current with developments in AI/ML

• Develop comprehensive multi-agent systems and frameworks for AI applications and products using orchestration patterns like manager/worker and peer collaboration. • Develop prototypes and production-ready AI products to validate AI/ML solutions implementing GraphRAG and knowledge-augmented retrieval. • Develop, tune, and productionize AI systems using cloud resources such as Azure AI Foundry, Kubernetes, custom vector database deployments, and Cognitive Services. • Contribute to development of robust data pipelines for knowledge graph construction, entity extraction, and graph-based retrieval systems. • Develop specifications context governance, prompt versioning, and agent evaluation frameworks to deploy AI models and incorporate them into applications. • Supervise deployed AI systems using comprehensive instrumentation and observability to guarantee consistent model accuracy, retrieval quality, and agent behavior monitoring. • Actively participate in a team that exercises principled, agile-like development practices. • Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. • Ensure peer review on all assigned work as well as conduct peer reviews over the work of others as requested. • Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. • Support and participate in meetings with external stakeholders.