Lead identification and design of automation and AI solutions across departments: document current workflows, produce future-state architectures and POCs, present to leadership, and hand off implementable designs to engineering and data teams to scale operations without proportional headcount growth.
Tidal Financial Group is a leading ETF investment technology platform dedicated to creating, operating, and growing ETFs. We combine expertise and innovative partnership approaches to offer comprehensive, value-generating ETF solutions. Our platform offers best-in-class strategic guidance, product planning, trust and fund services, legal support, operations support, marketing and research, and sales and distribution services.
Role Summary
Tidal Financial Group is seeking a Principle Solutions Architect to drive operational efficiency across the organization. This role will partner with department leaders to identify automation and AI opportunities, document current workflows, and design scalable technical solutions that enable Tidal to grow without proportional headcount increases. The ideal candidate combines strong technical architecture skills with the ability to translate business processes into clear, actionable solution designs.
Reporting & Location- Reports to: EVP of Operations & Technology
- Location: Remote (EST)
- Canvas all Tidal departments to identify processes and workflows ready for automation, AI enhancement, or technical optimization
- Document current-state workflows and pain points through stakeholder interviews and process observation
- Design and document future-state solutions using tools such as LucidChart, including technical specifications, integration requirements, and implementation roadmaps
- Build proof-of-concept solutions as needed to validate feasibility and demonstrate value
- Present solution proposals to executive leadership for approval
- Hand off approved solutions to engineering and data platform teams with clear documentation for production implementation
- Maintain a prioritized pipeline of automation opportunities across the organization
- Stay current on automation technologies, AI capabilities, and integration patterns relevant to financial services operations
- 8+ years of experience in solutions architecture, technical consulting, or a related role
- Strong API knowledge and experience designing integrations between enterprise systems
- Experience with AWS services and cloud architecture patterns
- Proficiency with workflow documentation and diagramming tools (LucidChart or equivalent)
- Demonstrated ability to translate business processes into technical solution designs
- Excellent communication skills with the ability to engage effectively with both technical teams and executive stakeholders
- Self-directed with strong organizational skills and ability to manage multiple concurrent initiatives
- Experience in the ETF industry or financial services sector
- Familiarity with modern data stack tools (Snowflake, DBT, Fivetran, or similar)
- Experience with AI/ML tools and automation platforms
Preferred
- Experience in financial services, asset management, or regulated industries
- Familiarity with data platforms (Snowflake, DBT, or similar)
- Experience with project management and workflow tools (Monday.com, HubSpot)
- Understanding of AI governance, model risk, or compliance documentation
- Experience building business cases and measuring ROI for technology initiatives
About This Role
This is an individual contributor position with room to grow as Tidal's AI program matures. You'll have real ownership and visibility with executive leadership. We're early in our AI journey—looking for someone who can prove value with today's tools, not someone waiting to build custom infrastructure.
Location: Remote (United States)
Department: Technology
Top Skills
Ai/Ml Tools
APIs
Automation Platforms
AWS
Dbt
Fivetran
Hubspot
Lucidchart
Monday.Com
Snowflake
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead novel ML research and development for medical applications, design and deploy deep learning and transformer-based models, mentor junior data scientists, partner with engineering and product to deliver production solutions, monitor model performance, and ensure ethical, safe model behavior.
Top Skills:
Python,R,Deep Learning,Transformer Architectures,Llms,Nlp,Azureml,Aws,Cluster Computing,Sql
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provide telephonic, chat and video short-term counseling and EAP services including assessment, triage, risk screening, motivational interviewing, referral coordination, and crisis intervention. Serve as an expert resource, coach others, and document care in EMR while adhering to telecommuting requirements.
Top Skills:
Electronic Medical Record (Emr),Outlook,Powerpoint,Ms Office
22 Minutes Ago
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provide clinical oversight for utilization management and care transitions, conduct peer-to-peer and telephonic reviews, collaborate with network providers and client services, contribute to strategic initiatives, and support care coordination and quality/cost management across post-acute settings.
Top Skills:
Electronic Health Records (Ehr)
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
