# Principal AI Data Platform Architect ## Company Overview We are a fast-growing AI-native firm working with executives, operators, private-markets investors, and enterprise teams to redesign how mission-critical work gets done with AI. We move quickly, care deeply about execution quality, and build practical systems where data, workflows, and AI agents come together in production. Our work often sits inside complex enterprise environments with sensitive private data, messy documents, high-stakes decisions, and strict access controls. We are not building generic dashboards or chatbots. We are building governed operating systems that help people answer important business questions faster, with source trails and permission boundaries intact. ## Opportunity We are looking for a principal-level Data Platform Architect to design and build the governed data spine behind AI-native operating systems for private-markets and enterprise environments. This role is for a senior, hands-on builder who can architect the foundation and ship production-grade systems: ingestion, lakehouse layers, canonical entities, lineage, quality checks, permissions, semantic models, and serving APIs. Outstanding performers may be considered for expanded or longer-term opportunities, including deeper platform ownership. ## Scope of Work - Architect a lakehouse-style data platform across structured and unstructured enterprise sources. - Build ingestion pipelines from SharePoint, Microsoft 365, CRM systems, document repositories, spreadsheets, and financial or operational data feeds. - Design Bronze/Silver/Gold data layers with replayability, lineage, quality checks, and point-in-time correctness. - Create canonical entity models for companies, people, deals, documents, metrics, funds, assets, and relationships. - Implement role-based and attribute-level access controls at the data layer, not just the UI. - Build semantic models and APIs that downstream AI workflows can safely query. - Partner with AI engineers building RAG, extraction agents, and executive command surfaces. - Document architecture, tradeoffs, operating standards, and handoff paths clearly. ## Must-Haves - Expert Python, SQL, and modern data engineering. - Deep experience with Databricks, Snowflake, or comparable lakehouse/data-platform architecture. - Hands-on experience with dbt or comparable transformation frameworks. - Experience building governed enterprise data systems with lineage, quality tests, CI/CD, and observability. - Familiarity with Microsoft Graph, SharePoint, Microsoft 365, or similar enterprise content ingestion. - Experience with entity resolution, master data management, semantic layers, or canonical data modeling. - Strong judgment around sensitive data, access controls, auditability, and reliability. - Ability to personally architect and ship production systems, not just advise. ## Nice-to-Haves - Private equity, private markets, financial services, investment workflows, or enterprise knowledge-management data experience. - Experience with DealCloud, HubSpot, PitchBook, AlphaSense, S&P, fund admin feeds, or similar business-data sources. - Experience with graph databases, vector databases, or RAG-ready data architecture. - Azure, Entra ID, RBAC, row-level security, or regulated-data environments. - Experience turning a client-specific data platform into reusable product infrastructure. ## What We're Looking For in a Person We are looking for a serious enterprise data architect who cares about correctness, lineage, permissions, and reliability. The right person has built real systems with messy data and real users. They know that the hard part is not making a demo work; it is making the data trustworthy, traceable, secure, and useful every day. This person should be senior enough to challenge the architecture, hands-on enough to ship, and clear enough to explain technical tradeoffs to non-technical operators. ## Category **Data Science & Analytics - Data Engineering** ## Screening Questions 1. Describe a governed data platform, lakehouse, or enterprise data architecture you personally designed or built. What were the sources, layers, and serving use cases? 2. What is your hands-on experience with Databricks, Snowflake, Delta Lake, Iceberg, or comparable platforms? 3. Have you built entity-resolution, master-data, or canonical data-model systems? Describe the matching approach and human-review process. --- ## Skills - Data Engineering - Data Architecture - Databricks - Snowflake - SQL - Python - dbt - ETL Pipeline - Data Lake - Microsoft Azure - API Integration - Data Modeling - Data Warehousing - Lakehouse Architecture - Microsoft Graph - SharePoint Integration - Entity Resolution - Master Data Management - Semantic Layer - Data Lineage - RBAC - Private Equity Data

# AI & Automation Architect for Creator Business (Content, Digital Products, Customer Journey & Growth Systems) **Budget:** $100–$150/hour (based on experience) **Initial Engagement:** 4-hour live working session **Date:** Monday, June 29, 2026 **Time:** 1:00 PM–5:00 PM EST **Location:** Remote (Zoom) ### IMPORTANT To confirm you've read this posting, start your proposal with: **Pocket Palette** Applications that do not include this phrase will not be considered. --- ## About Me I am the founder of What Kate Covets, a growing Seasonal Color Analysis business that combines personalized color consulting, digital products, affiliate recommendations, events, and content creation. My business is growing quickly, and I am looking for a highly experienced AI and automation consultant who can help me build scalable systems that improve customer experience, streamline operations, increase revenue opportunities, and reduce manual work. This is not a virtual assistant role. I am looking for a strategic thinker and hands-on builder who can help design and implement practical solutions. There is potential for ongoing consulting and implementation work after this initial engagement. --- ## What I Want to Accomplish I am looking for someone who can help me build the operational foundation of my business so that growth does not require a proportional increase in manual work. ### 1. Launch and Scale My Digital Pocket Palettes I have created a Digital Pocket Palette product and need help creating, organizing, and launching versions for all seasonal color palettes. Desired outcomes: * Create and organize all seasonal versions * Establish a repeatable process for future updates * Upload and configure products on my website * Set up payment and delivery workflows * Create a seamless customer purchase and access experience * Ensure products are ready to sell and scale ### 2. Automate Lead Generation and Booking I want to reduce the amount of time spent manually managing inquiries and appointments. Desired outcomes: * Streamline lead capture * Improve inquiry management * Automate appointment scheduling where appropriate * Improve conversion from inquiry to booked consultation * Reduce administrative work ### 3. Automate the Client Journey After Their Analysis I currently provide significant value after a client receives their color analysis and want to create a more scalable experience. Desired outcomes: * Automated follow-up workflows * Delivery of resources and recommendations * Review request automation * Upsell opportunities * Long-term client engagement ### 4. Create a Scalable Recommendation System One of the biggest opportunities in my business is helping clients discover products that work for their season. I would like to explore solutions such as: * Digital Pocket Palette integrations * ShopMy collections * Seasonal shopping guides * AI-powered recommendation systems * Affiliate product recommendations * Personalized product discovery experiences I am looking for someone who can help determine the best solution and roadmap. ### 5. Create a Centralized Recommendation Database I want to stop managing recommendations across multiple platforms. I'd like help designing a system where products, affiliate links, seasonal recommendations, content assets, and customer resources can live in one centralized location and be used across: * ShopMy * Linktree * Instagram * My website * Digital Pocket Palettes * Future AI-powered tools ### 6. Create a Seamless Content Creation & Publishing Workflow Content is a major part of my business, but the process is currently too manual. I want help creating a content engine that allows me to consistently create and publish content with less effort. Desired outcomes: * Create a repeatable content workflow * Organize content ideas and assets * Streamline content creation and publishing * Reduce time spent creating captions, recommendations, and posts * Repurpose content across multiple formats and channels * Improve affiliate content workflows * Explore AI-assisted content creation systems * Create a clear process from idea → creation → publishing → engagement --- ## Current Platforms & Tools My business currently uses a combination of: * ChatGPT * Claude * Google Workspace * Instagram * Meta Business Suite * Linktree * ShopMy * Canva * Squarespace * Stripe Experience with the following is a plus: * Zapier * Make * n8n * Vercel * Airtable * Notion * AI agents * Custom GPTs * Knowledge bases * Workflow automation tools --- ## Deliverables At the end of our engagement, I would like: * A prioritized roadmap of opportunities * Identification of quick wins and longer-term projects * Recommended systems and tech stack improvements * At least 2–3 automation workflows mapped or implemented * Recommendations for scaling Digital Pocket Palettes * Recommendations for scalable recommendation systems * Documentation and next steps --- ## Ideal Candidate You: * Are fluent in English * Have extensive experience with AI tools and workflow automation * Have built systems for creators, consultants, coaches, agencies, or small businesses * Can work collaboratively in real time via Zoom * Are both strategic and technical * Can implement solutions, not just advise * Stay current with emerging AI tools and best practices Bonus points if you have experience with: * Affiliate marketing * Creator businesses * Personal brands * Digital products * AI agents * Customer journey automation * Knowledge management systems --- ## To Apply Please include: 1. A brief overview of your AI and automation experience 2. Examples of workflows or automations you've personally built 3. Experience with ChatGPT, Claude, Zapier, Make, n8n, Vercel, Airtable, Notion, or similar platforms 4. Experience working with creators, consultants, coaches, or personal brands 5. Confirmation that you are available Monday, June 29 from 1 PM–5 PM EST 6. A 3–5 minute Loom video walking through a workflow or automation you've built 7. What you believe would be the highest-impact automation opportunity for my business based on this posting Potential for ongoing consulting and implementation work for the right person.

I’m building Elevyn, a platform designed to help people better understand themselves through connected data, intentional reflection, and AI-generated insights. This is not a social media platform. This is not a productivity app. This is not just another trading journal. Elevyn is an operating system for self-mastery, with trading serving as the first environment where personal growth becomes measurable. Most apps collect data. Elevyn is designed to observe. The goal is to connect information across different areas of a person’s life and uncover meaningful patterns that help them improve their decision-making, habits, discipline, and overall performance. The Vision Users will log information such as: • Sleep • Mood • Daily reflections • Workouts • Morning routines • Trading activity • Goals • Habits • Personal notes Instead of simply displaying this data, Elevyn will analyze relationships between it and surface meaningful insights. Examples include: • “You slept less than 5 hours before 7 of your last 10 losing trades.” • “Your win rate increases after completing your morning routine.” • “You tend to become more impulsive after multiple winning days.” • “Your consistency improves when workouts and journaling happen on the same day.” The long-term vision is an intelligent system that continuously helps users become more self-aware. Current Stage I already have: • Brand identity • Vision and philosophy • User flows • Interactive prototype • Core feature planning • Long-term roadmap I’m now looking for a developer or small team (2-3 people) to build the first production version. What I’m Looking For I’m looking for someone who can think beyond simply building screens. I want someone who can: • Build scalable architecture • Recommend the best technologies • Think through user experience • Ask thoughtful questions • Help solve technical challenges • Build for future AI integrations • Create clean, maintainable code Experience with AI, analytics, mobile applications, and scalable backend systems is a significant advantage. Technology (Open to Recommendations) I’m open to your recommendations, but I’m considering: • Flutter or React Native • Node.js or Python backend • PostgreSQL • Firebase/Supabase • AWS • AI integrations (OpenAI or similar) • Secure authentication and cloud infrastructure Long-Term Vision Trading is only the beginning. The underlying engine should eventually support entrepreneurs, athletes, creators, students, and anyone pursuing mastery in a specific area of life. The core idea remains the same: Help people understand themselves by connecting patterns across their behaviors, decisions, and outcomes. Who I’m Looking For I’m looking for someone who believes in building meaningful products—not just completing tasks. If you’re excited about creating a platform that combines psychology, data, AI, and personal development into something people genuinely use to improve their lives, I’d love to hear from you. Please include examples of similar work, your recommended tech stack, and how you would approach building a scalable MVP that can grow over time.

Overview I have a Next.js website with a newsletter signup form that currently submits directly from the browser to HubSpot's Forms v3 endpoint. I want to add a lightweight LLM-based spam filter that inspects each submission *before* it reaches HubSpot, and silently rejects (or flags) anything that looks like spam/bot/junk input. Current setup - Framework: Next.js (App Router, TypeScript, React client component) - The form component (`NewsletterForm.tsx`) POSTs directly to `https://api.hsforms.com/submissions/v3/integration/submit/[portalId]/[formGuid]` - Fields collected: `firstname`, `lastname` (optional), `jobtitle`, `email` - Portal ID and Form GUID are public form identifiers (no secrets today) What I want you to build 1. Create a server-side API route in the Next.js app (e.g. `app/api/subscribe/route.ts`) that: - Receives the form fields from the client - Runs an LLM spam/quality check (e.g. OpenAI or similar) to classify the submission as legit vs. spam — checking for gibberish names, fake/disposable emails, nonsense job titles, injection attempts, etc. - If legit → forwards the submission to HubSpot (server-side) - If spam → rejects gracefully with a generic message (no HubSpot write) 2. Update the existing `NewsletterForm.tsx` to POST to the new internal API route instead of calling HubSpot directly. 3. Keep the LLM API key server-side only (use an environment variable — never expose it to the client). 4. Preserve the existing UX: loading / success / error states should still work. Deliverables - Working API route with the LLM spam check + HubSpot forwarding - Updated form component - Brief note on which env vars to set (`OPENAI_API_KEY`, etc.) and how to configure them - Clean, typed TypeScript that matches the existing code style Nice to have (optional) - Basic rate limiting / honeypot field as a cheap first line of defense before the LLM call - Configurable spam threshold or a logged "reason" when something is rejected Requirements to apply - Strong Next.js App Router + TypeScript experience - Experience calling an LLM API (OpenAI or equivalent) from a server route - Familiarity with HubSpot Forms API is a plus To apply, please briefly answer: 1. Which LLM/provider would you use and roughly what would it cost per submission? 2. How would you handle the case where the LLM API is slow or down — do you fail open (let it through) or fail closed (block it)? 3. Have you integrated with HubSpot Forms before? (yes/no is fine)

I’m looking for an AI Engineer to help build an automated red-teaming product based on open-source models. This is a short-term, hands-on project for around 2 months, with an expected commitment of about 20 hours per week. The goal is to build a specialized red-teaming engine that can generate adversarial prompts across different risk domains, severity levels, and attack strategies — then automatically run those prompts against target AI models to identify bad cases, failure patterns, and safety gaps. 🔍 What you’ll work on Build red-teaming systems on top of open-source LLMs, including fine-tuning, prompt optimization, evaluation pipelines, and model orchestration. Design automated prompt generation workflows across risk domains such as self-harm, hate, violence, sexual safety, misinformation, fraud, cyber, and other high-risk areas. Generate prompts across different harm levels, from benign edge cases to policy-borderline and clearly unsafe scenarios, while maintaining structured taxonomies and evaluation criteria. Run automated tests against target models such as Gemma, Llama, Qwen, or other open-source / closed-source models to surface jailbreak patterns, over-refusal, under-refusal, and policy inconsistencies. Build feedback loops that turn model failures into stronger red-team prompts, improved eval sets, remediation recommendations, and continuous safety testing. 🧠 What I’m looking for Hands-on experience with open-source LLMs, fine-tuning, LoRA / QLoRA, RAG, model evaluation, and LLM inference pipelines. Familiarity with AI safety, red teaming, adversarial prompting, jailbreaks, safety evals, or trust & safety systems. Ability to build end-to-end systems, including data pipelines, model serving, eval harnesses, scoring, dashboards, and automation workflows. Bonus if you’ve worked on model safety, content moderation, policy evaluation, agentic testing, or automated eval infrastructure. ⏳ Project setup Duration: around 2 months Time commitment: about 20 hours per week Format: flexible / remote-friendly Stage: early-stage build, from 0 to 1 🚀 Why this is interesting This is not about manually writing red-team prompts one by one. The goal is to build a scalable system that can continuously generate, test, categorize, and learn from model failures — helping teams understand where AI models break, why they break, and how to improve them. If you enjoy working with open-source models, AI safety, red teaming, and fast 0-to-1 product building, I’d love to chat. Feel free to DM me if this sounds like you, or if you know someone who might be a good fit.

We are seeking a skilled Machine Learning Engineer to develop and implement AI models for our project. The ideal candidate will have experience in algorithm development and microcontroller programming. You will be responsible for designing, training, and deploying machine learning models to enhance our AI capabilities. Familiarity with MATLAB is a plus. Join us to work on innovative AI solutions.

We are seeking a senior AI developer to build and enhance AI models for our business. The role involves developing, testing, and deploying AI solutions, as well as improving existing models to increase accuracy and performance. The ideal candidate should have strong experience in AI development and be able to work independently on complex projects.

Build an AI Marketing Operating System for Local Business I am an orthodontist building an internal AI platform for my practice. This is NOT a website project. The platform should: * Continuously monitor public internet sources for local conversations related to orthodontics. * Use AI to determine whether a conversation is worth engaging. * Generate suggested responses in our brand voice. * Never publish automatically. * Present every suggestion in an approval dashboard where I can Approve, Edit, or Reject. * Generate blog posts, Google Business Profile posts, newsletters, Instagram captions, FAQs, and YouTube scripts. * Track analytics and improve recommendations over time. Technologies preferred: * OpenAI API * Make.com or n8n * React / Next.js * Supabase * Airtable (acceptable for MVP) * PostgreSQL * Docker Applicants should have experience with: * AI agents * Human-in-the-loop workflows * LLM integrations * Automation * Dashboard development

We need a developer to build a simple AI chatbot MVP using Next.js and the OpenAI API. The chatbot should allow a business owner to enter FAQ or support content, then let users ask questions through a chat interface. The AI should answer based only on the provided content.

AI Workflow & Automation Consultant for Executive Search Firm We are an executive search firm looking for an experienced AI technology consultant to help us evaluate, improve, and automate our internal workflows. We are not looking for someone to simply introduce generic AI tools. We want someone who can take a hands-on look at how our business currently operates, understand our recruiting/search process, and help us create practical, efficient AI-enabled workflows that our team will actually use. About Our Current Tech Stack We currently use: RecruitCRM as our applicant tracking/search CRM Microsoft 365 across the business Microsoft Copilot as our enterprise AI tool Claude, which integrates with RecruitCRM Microsoft Teams, Outlook, OneDrive, SharePoint, Word, Excel, and PowerPoint Additional recruiting tools, interview notes, candidate documents, and internal templates We want to better connect and leverage these systems so we can reduce manual work, improve consistency, and make our team more efficient. What We Need Help With We are looking for someone to review our full process and help identify where AI, automation, integrations, or better workflows can improve the way we work. This may include: Reviewing our current recruiting/search workflow from intake through candidate presentation Evaluating how we use RecruitCRM, Copilot, Claude, Microsoft 365, Teams, Outlook, OneDrive, and SharePoint Identifying repetitive manual tasks that can be automated or streamlined Helping us create better workflows for candidate presentations, interview notes, client updates, reporting, and document management Recommending practical AI tools, prompts, templates, automations, or integrations Helping us organize files, notes, candidate materials, and client deliverables more efficiently Training or documenting best practices so our team can adopt the new workflows Ideal Background The ideal consultant will have experience with: AI workflow design for small or mid-sized businesses Microsoft 365, Microsoft Copilot, Teams, Outlook, OneDrive, and SharePoint Recruiting, staffing, executive search, or professional services workflows CRM or ATS systems, ideally RecruitCRM or similar platforms Claude, ChatGPT, Copilot, or other AI tools used in business operations Automation tools such as Power Automate, Zapier, Make, or similar Process mapping, workflow optimization, and implementation Project Goal Our goal is to have someone come in, understand how we work today, and help us build a more efficient AI-enabled operating system for the business. We want practical improvements, not theoretical recommendations. The right person should be able to assess our current state, recommend what should change, help implement improvements, and provide clear documentation or training for our team. Deliverables May Include Current workflow assessment AI and automation opportunity map Recommended tools and integrations Updated workflows for key business processes Reusable prompts, templates, or SOPs Microsoft 365 / Copilot / RecruitCRM optimization recommendations Implementation support Training documentation for our team To Apply Please include: A brief overview of your experience with AI workflow consulting Examples of similar projects you have completed Your experience with Microsoft 365, Copilot, Claude, RecruitCRM, or recruiting workflows How you would approach reviewing and improving our current process Your suggested project structure and estimated timeline We are open to either an initial audit/strategy project or a longer-term implementation engagement depending on fit.