--- title: 'AI Data Architect at 3Pillar' canonical: 'https://feeny.ai/job/ai-data-architect-3pillar-united-states-z678xxz6g5dd' type: 'job' last_seen: '2026-09-08' --- # AI Data Architect at 3Pillar - **Company:** 3Pillar - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-07-25 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/3pillarglobal/d2ded0cc-eb2c-4185-9347-62d5c9f402bd ## Job description 3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI. AI Data Architect We are looking for an AI Data Architect to design, build, govern, and evolve the single source of truth that powers every AI initiative in our organization. This platform will serve as the foundational nervous system for conversational AI assistants, dashboard intelligence, autonomous AI agents, RAG-powered applications, predictive ML models, and any AI product we build today or in the future. The resource will architect the system, drive implementation, own the data contracts that agents and AI applications depend on, enforce security and access governance for both human and agent consumers, and continuously monitor and improve the accuracy and reliability of AI outputs that flow from this platform. Requirements: Architect and own the enterprise AI data platform — the unified, governed layer that ingests, transforms, stores, and serves all data consumed by AI systems across the organisation. Design multi-domain data models (lakehouse, data mesh, event-driven) that are structured from day one to serve AI workloads: clean lineage, versioned schemas, well-documented contracts, and low-latency serving APIs. Strong exposure to different Data architectures, data lake & data warehouse Define tools & technologies to develop automated data pipelines, write ETL processes, develop dashboard & report and create insights ## Responsibilities Technical Skills Primary Skills: Python, SQL, Snowflake/Databricks, AWS (S3, Glue, EKS, Bedrock, Kinesis, Redshift), Docker, Kubernetes, Terraform, GitHub Actions, LangChain, LlamaIndex, LLM APIs (OpenAI, AWS Bedrock, Claude, HuggingFace), (Pinecone, FAISS, ChromaDB, OpenSearch), knowledge graphs (Neo4j). Secondary Skills: MLflow, FastAPI, CI/CD pipelines, observability tooling (CloudWatch, Grafana, or equivalent), data lineage and metadata management platforms. - 15+ years of hands-on data engineering and architecture experience, alongside building production AI/ML and LLM-era data infrastructure. - Strong Experience with either Databricks or Snowflake; experience with both is desirable. - Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures - Expertise in designing and writing ETL processes in Python / Java / Scala - Own the full data stack: real-time streaming (Kafka, Spark Structured Streaming), batch processing (Databricks, PySpark, Delta Lake), cloud storage and compute (AWS, Azure), and data quality /metadata management. - Drive modernisation of legacy pipelines (on-prem ETL, batch DWH) to cloud-native, AI-ready architectures with measurable improvements in cost, latency, and delivery velocity. - Proven experience designing enterprise-scale AI data platforms that serve multiple AI consumers —not just one application or pipeline. - Hands-on experience with vector stores, semantic models, knowledge graphs, and retrieval infrastructure in production environments. - Working knowledge of LLMOps: model serving pipelines, MLflow, CI/CD for AI, automated evaluation, and production monitoring. AI Experience RAG, Vector & Retrieval Infrastructure Design the retrieval infrastructure that powers RAG-based AI applications: embedding pipelines, vector stores (Pinecone, FAISS, ChromaDB, OpenSearch), chunking strategies, and hybrid retrieval layers combining semantic search with structured queries. Agentic Behaviour Observability & Output Accuracy Own the observability stack for AI agent behaviour: instrument agents to capture inputs, retrieved context, tool calls, reasoning traces, and outputs — creating a complete audit trail of every agentic action driven by platform data. Design and operate evaluation frameworks that continuously measure AI output quality: factual accuracy, context faithfulness, retrieval relevance, hallucination rates, and task completion success— across all AI consumers of the platform. Architecture Standards & Engineering Enablement Define and maintain the reference architecture for the AI data platform — documenting design patterns, data contracts, integration standards, and decision records (ADRs) that all engineering teams follow. Establish data engineering standards: pipeline testing frameworks, code review practices, CI/CD automation, infrastructure-as-code (Terraform), reusable component libraries, and observability instrumentation. ## Benefits - Medical Insurance benefits as per company policy. - Dental insurance as per company policy. - Vision insurance as per company policy. - Employer paid Disability, Life, and AD&D insurance - Unlimited PTO - Paid parental leave - 401K - Flexible work policy - 12 Paid Holidays ## About 3Pillar ## Company Overview - **One-liner**: 3Pillar is a leading AI transformation partner that helps enterprises build AI-native products, modernize core systems, and orchestrate intelligent workflows through a combination of proprietary platforms and engineering services. - **Entity Type**: Private (funded; $25.9M total funding across 5 rounds) - **Headquarters**: Fairfax, Virginia, United States - **Founded**: 2006 - **Founders**: Not publicly disclosed ## Core Business - **Primary industries**: Software engineering, AI/ML, digital product development, data engineering, cloud infrastructure - **Target customers**: B2B, Enterprise (mid-market to large global brands) - **Mission/purpose**: “We harness the extraordinary power that’s sparked when people from all walks of life, all around the world, collaborate together. Our high-performing teams work with you to create innovative solutions that solve strategic business challenges and deliver outsized impact.” ## Products & Services - **[HelixAI](https://www.3pillar.ai/)**: An open, composable, AI-native development and runtime platform for building agentic AI workflows. Includes an ontology-driven knowledge graph (ATLAS) and governance tools. - **[AIRE](https://www.3pillar.ai/)**: An agentic AI harness with built-in governance, SDLC agents, and token-optimized execution with human oversight. - **[NEXUS](https://www.3pillar.ai/services/)**: Rapid AI-native application and agent development platform for streamlining operations and enabling reasoning-driven decisions. - **AI-Led Product & Platform Modernization**: Services to evolve legacy systems deliberately, balancing stability and speed (powered by ATLAS). - **Digital Products & Experiences**: AI-powered product design and development, bringing ideas to market faster. - **AI-Ready Data**: Data foundation services to transform fragmented data into governed, high-quality assets. - **AI-Powered Operations**: Reimagining enterprise operations using AI agents and automation. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Annual Revenue of $53.7M (as per LinkedIn); Total Funding of $25.9M (5 rounds) - **Notable Investors/Partners**: Not explicitly named in available sources; operates in 5+ countries (Romania, Guatemala, Costa Rica, Mexico, India, United States) - **Growth Signals**: 1,245 employees (though -4.6% YoY); global presence across 19 countries; strong emphasis on agentic AI and AI transformation as core growth drivers ## Competitive Advantages - **Proprietary AI platforms**: HelixAI, AIRE, ATLAS, and NEXUS provide a differentiated, composable approach to enterprise AI adoption. - **Product Mindset®**: A unique methodology that blends product engineering with cognitive computing, enabling faster, more resilient digital transformation. - **Global distributed team**: Ability to leverage talent across time zones and cultures while maintaining English as the working language. - **Deep expertise across the full stack**: From data engineering and cloud to UX and AI governance, all under one roof. ## Strategic Focus - **Agentic enterprise**: Scaling AI through agentic workflows and intelligent automation. - **Open, composable architecture**: Building platforms that integrate with clients’ existing tools and systems. - **AI governance and quality**: Emphasizing governed, trustworthy AI with human oversight at every step. - **Continued global expansion**: Leveraging a distributed workforce model to serve clients worldwide. ## Why Work Here - **Flexible work environment**: “We work from anywhere” – headquarters in Washington, DC metro area, with offices in North America, Europe, Asia, and Latin America. Team members can choose office, home, or a blend. - **Well-being focus**: A full trimester in the annual cycle dedicated to well-being, including fitness offerings, mental health plans (country-dependent), and generous time off. - **Global collaboration**: Work with top talent from around the world, daily English communication, and potential travel to colleagues in different regions. - **Career growth**: Practice-aligned teams (Automation, Data Science & Analytics, Engineering & Architecture, Lifecycle Management, UX) allow targeted skill development across projects and industries. - **Professional services model**: Accelerated career growth through exposure to diverse clients and technologies. - **Open positions** include Senior Data Engineer, Technical Lead, AI ML Architect, DevOps Engineer, Senior Software Engineer, and more. ## Sources 1. [3pillar.ai](https://www.3pillar.ai/) 2. [3pillar.ai/careers/](https://www.3pillar.ai/careers/) 3. [3pillar.ai/services/](https://www.3pillar.ai/services/) 4. [linkedin.com/company/3pillar](https://linkedin.com/company/3pillar) 5. 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