Tidal Financial Group · 19 hours ago
Lead AI Engineer
Tidal Financial Group is a leading ETF investment technology platform dedicated to creating, operating, and growing ETFs. They are seeking a Lead AI Engineer to own the end-to-end delivery of production AI solutions across the organization, defining and executing AI strategy while building a high-performing team over time.
Asset ManagementBusiness DevelopmentConsultingFinancial ServicesFinTechMarketing
Responsibilities
AI solution delivery: Design, develop, and deploy LLM-powered applications, including retrieval (RAG/hybrid), intelligent automation, and agentic AI. Deliver production-grade systems that integrate with existing data sources, internal APIs, and operational tools
Model development Lead the definition, development, and delivery of machine learning models and AI solutions, including training/fine-tuning, evaluation, and deployment in cloud environments (AWS-first; additional cloud experience is a plus)
Engineering ownership: Lead the testing, deployment, and ongoing maintenance of AI systems, including operational runbooks, support processes, and reliability improvements
Performance and cost optimization: Optimize AI systems for performance, scalability, latency, and cost (model selection/routing, caching, batching, and other architectural techniques)
Architecture & collaboration: Partner with data and engineering leads to architect AI-powered systems end-to-end (data pipelines, permissions, service boundaries, integrations, and operational controls)
Evaluation & reliability: Establish evaluation frameworks, monitoring, and observability to ensure AI systems perform accurately and reliably. Build test datasets, track quality metrics, detect drift, and implement regression prevention. In fund operations, incorrect outputs carry real consequences
Cross-functional partnership: Collaborate with business teams to identify automation opportunities and translate requirements into technical solutions. Prioritize initiatives based on operational impact, risk, and feasibility
Technical standards: Define architecture patterns, development standards, and reusable components that enable AI delivery to scale beyond individual projects. Evaluate emerging technologies and recommend adoption paths when they create measurable advantage
Qualification
Required
8+ years building production software systems, including technical leadership on complex initiatives
Proven experience shipping LLM-based applications to production (beyond prototypes), including: retrieval (RAG/hybrid), vector search patterns, and grounding, structured outputs and validation, evaluation/monitoring and regression prevention
Strong Python development skills and experience building APIs/services
Experience deploying secure, observable systems in AWS (e.g., IAM, logging/monitoring, CI/CD; specific services may vary)
Hands-on experience integrating LLMs via APIs/SDKs across one or more providers (commercial and/or open-source), including model selection and safe usage patterns
Preferred
Experience in financial services, asset management, or similarly regulated industries
Experience implementing automation with approvals, controlled documents, and audit trails
Experience with multi-model strategies (provider selection, routing, fallback patterns)
Experience building internal platforms or reusable AI components (shared libraries, templates, evaluation harnesses)
Familiarity with AI governance practices and model risk documentation
Company
Tidal Financial Group
Tidal Financial Group (Tidal) is a leading ETF investment and technology platform facilitating the creation, operation and growth of ETFs.
H1B Sponsorship
Tidal Financial Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (2)
Funding
Current Stage
Growth StageTotal Funding
$32MKey Investors
Insignia Capital GroupFTV Capital
2025-09-03Private Equity
2022-10-06Private Equity· $32M
2019-01-01Series Unknown
Leadership Team
Recent News
2026-01-03
2025-12-03
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