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AI Data Architect - Remote

Lensa

United States

Remote

USD 130,000 - 200,000

Full time

Yesterday
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Job summary

A leading company seeks an AI Data Architect to revolutionize data onboarding and integration using advanced cloud technologies. The role emphasizes innovation and collaboration to drive transformative data architectures. Ideal candidates should have strong skills in data migration, AI, and cloud platforms, offering competitive compensation and benefits.

Benefits

Tuition reimbursement
Parental leave
Paid volunteer hours
Unlimited PTO
Flexible work environment

Qualifications

  • 5+ years experience in data architecture or similar roles.
  • Hands-on experience with fine-tuning LLMs.
  • Proficiency in Python and SQL.

Responsibilities

  • Lead development of AI-powered onboarding and migration solutions.
  • Design data integration workflows for ETL processes.
  • Architect scalable solutions for customer data migration.

Skills

Data architecture
Cloud architecture
AI/ML data roles
Data migrations
Schema mapping
Validation and transformation
Vector databases
LLM fine-tuning
Cloud platforms
Python
SQL

Education

Bachelor's degree in Computer Science or related field

Tools

AWS
Airflow
Prefect

Job description

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Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for CentralSquare Technologies.

AI Data Architect - Remote

United States

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  • About CentralSquare Technologies

CentralSquare is a unique enterprise software company whose mission is to build safer, smarter, more connected communities. More than 8,000 public sector agencies trust CentralSquare solutions each and every day. We serve governments of all sizes, from small towns to major cities, to make delivering public services less costly and more efficient.

Job Description

What We’re About

At CentralSquare, you’ll join a collaborative environment where innovation meets purpose. We create robust, data-driven enterprise solutions that empower Public Servants across North America. As a member of our team, you’ll work on building and evolving cutting-edge data architectures, harnessing cloud technologies, and integrating Generative AI to drive actionable insights. We’re dedicated to cultivating career growth—if you’re motivated and passionate about data innovation, there’s ample opportunity for advancement.

We reward hard work with competitive compensation, a comprehensive benefits package (including tuition reimbursement, parental leave, paid volunteer hours, and unlimited PTO), and a flexible work environment that supports an excellent work-life balance whether you’re in office or remote.

Job Description

We are seeking an experienced and visionary AI Data Architect to lead the development of onboarding and migration solutions powered by AI and cloud-native technologies. This role is critical to accelerating our customers' transition from legacy platforms onto our systems—making onboarding not just seamless, but a competitive differentiator. You'll play a key role in shaping how data, AI, and user experience intersect across our product ecosystem.

Key Responsibilities Include:

  • Common Data Model Alignment: Leverage a unified data model to support cross-system integration and accelerate onboarding timelines.
  • ETL and Replication:Design and maintain data integration workflows focused on extracting, transforming, and migrating data from various sources to a destination system.
  • Customer Data Migration: Architect scalable solutions that automate and simplify the transition of customer data from external platforms into our systems, ensuring high integrity, compliance, and usability.
  • AI-Driven Onboarding Experiences: Design intelligent workflows and tools that guide customers through migration and setup using AI-powered recommendations, validations, and data mapping strategies.
  • Vector Database Architecture: Design and maintain vector-based storage solutions that support semantic search, personalization, and AI-driven onboarding flows.
  • Modern Data Infrastructure: Build secure, cloud-native pipelines that support onboarding analytics, self-service capabilities, application telemetry and real-time progress tracking.
  • GenAI Agent Integration: Develop and maintain generative AI agents using RAG or other fine-tuning concepts that assist users and internal teams throughout the onboarding and migration process.

Requirements

Skills & Requirements

  • 5+ yearsof experience in data architecture, cloud architecture, or AI/ML-focused data roles.
  • Expertise in data migrations, schema mapping, validation, and transformation pipelines.
  • Provenexperience building and maintaining vector databases(e.g., OpenSearch, pgvector, qdrant, Pinecone, Weaviate, FAISS, or Vespa).
  • Hands-on experience withfine-tuning LLMs or GenAI models, particularly for customer-facing agents or data processing tasks.
  • Experience integratingLLM-based APIs(OpenAI, Anthropic, Vertex AI, Perplexity etc.) into real-world systems.
  • Proficiency in cloud platforms, preferably AWS, including services such as Lambda, Glue, Redshift, S3, and EventBridge.
  • Familiarity withCI/CD, infrastructure as code, and DevOps best practices.
  • Strong knowledge ofdata privacy, governance, and compliance(SOC2, CJIS, GDPR).
  • Proficiency in Python, SQL, and modern orchestration frameworks (e.g., Airflow, Prefect).
  • Clear communication skills and experience collaborating across product, engineering, and implementation teams.

This is a rare opportunity to drive meaningful transformation at the intersection of AI, data, and customer experience. If you’re passionate about using GenAI to solve real onboarding and integration problems, we’d love to hear from you.

If you have questions about this posting, please contact support@lensa.com

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    IT Services and IT Consulting

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