Data Solutions Architect | AI

Trace3Irvine, CA
Hybrid

About The Position

Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate. Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it! Trace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco. Ready to discover the possibilities that live in technology? Come Join Us! Street-Smart - Thriving in Dynamic Times We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a "big picture" focus. We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems. Juice - The “Stuff” it takes to be a Needle Mover We get things done and drive results. We lead without a title, empowering others through a can-do attitude. We look forward to the goal, mentally mapping out every checkpoint on the pathway to success, and visualizing what the final destination looks and feels like. Teamwork - Humble, Hungry and Smart We are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures – not just their success. We appreciate the individuality of the people around us.

Requirements

  • Bachelor’s degree in computer science, engineering, mathematics, or a related field, or equivalent professional experience
  • 5 or more years of experience in solutions architecture, data architecture, or AI architecture with a track record of client-facing technical delivery
  • 3 or more years of hands-on experience building and deploying AI or machine learning solutions in production or near-production environments
  • Demonstrated experience designing and building POCs and POVs for enterprise clients, including scoping, architecture, build, and executive presentation
  • Proficiency in Python and at least one additional language (SQL, Scala, JavaScript, or R)
  • Hands-on experience with cloud data platforms (Snowflake, Databricks, or equivalent) and at least one major cloud provider (AWS, Azure, or GCP)
  • Working knowledge of modern AI architectures including large language models (LLMs), RAG systems, vector stores, knowledge graphs, and agentic frameworks
  • Outstanding communication and presentation skills with both technical and executive audiences, including the ability to present complex AI concepts to non-technical stakeholders
  • Strong organizational and time management skills with the ability to manage multiple concurrent POC and accelerator builds in a fast-moving environment

Nice To Haves

  • Master’s degree in computer science, AI, machine learning, or a related field
  • Experience with MLOps platforms and practices (model versioning, monitoring, drift detection, retraining pipelines)
  • Experience with agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI, or equivalent)
  • Experience with ETL and data pipeline architecture at scale (Apache Spark, Kafka, Flink, or equivalent)
  • Familiarity with CCaaS, UCaaS, or contact center AI platforms (Genesys, Five9, Cisco, or equivalent)
  • Relevant AI or cloud certifications (Azure AI Engineer, Google Cloud Professional ML Engineer, AWS Machine Learning Specialty, or equivalent)
  • Experience in a consulting or professional services environment where you have owned client-facing technical deliverables end-to-end
  • Experience building and maintaining demo environments or technical accelerator libraries for reuse across multiple engagements

Responsibilities

  • Own the end-to-end lifecycle of technical proof work across the Data and Experiences BU, supporting Practice Directors, field SAs, and the Delivery Organization.
  • Design, build, and present client-facing proofs of concept (POCs) and proofs of value (POVs) using client's data, workflows, and integration points.
  • Lead AI capability demonstrations including agentic AI architectures, retrieval-augmented generation (RAG) systems, multimodal AI pipelines, MLOps platforms, and AI-native data and analytics stacks.
  • Partner with Practice Directors and field SAs during sales pursuits to define POC success criteria and scope minimum viable architectures.
  • Track emerging AI capabilities, evaluate their relevance, and translate into actionable technical assets like prototypes, architecture guides, and recommendations for the Accelerators build pipeline.
  • Build reusable AI accelerator assets such as prompt libraries, agent frameworks, RAG pipeline templates, evaluation harnesses, and fine-tuning playbooks.
  • Drive the Accelerators group’s contribution to the Pre-Sales Intelligence Evaluation Suite (CXE, DPE, SPE, IFE).
  • Build, test, and refine agent prompts, research workflows, and output templates for AI-powered research evaluations.
  • Build technical tooling for the Delivery Organization, including configuration automation scripts, automated UAT frameworks, and documentation automation pipelines.
  • Serve as the technical escalation path for Practice Directors and SAs, researching and documenting findings on new vendor capabilities, integration edge cases, and regulatory requirements.
  • Contribute to the Accelerators group’s internal knowledge base by publishing technical briefs, architecture patterns, and lessons learned.
  • Mentor junior team members and contribute to the team’s collective capability development.
  • Represent the Accelerators group in vendor technical briefings, partner advisory boards, and internal BU forums.

Benefits

  • Comprehensive medical, dental and vision plans for you and your dependents
  • 401(k) Retirement Plan with Employer Match
  • 529 College Savings Plan
  • Health Savings Account
  • Life Insurance
  • Long-Term Disability
  • Competitive Compensation
  • Training and development programs
  • Major offices stocked with snacks and beverages
  • Collaborative and cool culture
  • Work-life balance and generous paid time off
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service