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Hybrid: Technical Lead – AI/Data Engineering

J-RAM IT Consulting Inc.Dallas, TX🇺🇸United StatesPosted Sep 23, 2026

Why This Role Stands Out

Lead a dynamic team in cutting-edge AI/Data Engineering projects, shaping scalable solutions and driving technical innovation within a reputable firm. You'll thrive in this hybrid role if you possess strong Python, AWS, and AI/LLM expertise, enjoying both hands-on development and architectural leadership. This is a fantastic opportunity to advance your career and make a significant impact, so consider applying today!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
Yesterday
DockerSQLAWSETLMLflowOAuthSonarQubeDatabricksJavaScriptLLMPythonRESTStakeholder ManagementTerraformUnityVuepytest

Job Description

Role Summary:
Seeking a Tech Lead to lead a team of developers in designing, developing, and delivering scalable AI/Data solutions. The role involves technical leadership, solution architecture, mentoring, and hands-on development using modern cloud, AI, and data technologies.

 Key Responsibilities

  • Lead and mentor development teams.
  • Design and review scalable application architectures.
  • Drive software development, testing, deployment, and production readiness.
  • Collaborate with business stakeholders and solution architects.
  • Ensure code quality, performance, security, and governance standards.
  • Manage technical delivery, estimates, and project planning.
  • Evaluate and implement new technologies and best practices.

 Required Skills

  • Strong experience with Python, SQL, AWS, and Databricks.
  • Expertise in AI/LLM technologies: RAG, Prompt Engineering, Agentic Workflows, Vector Databases, Bedrock.
  • Experience with Databricks (Genie, Unity Catalog, Delta Lake, MLflow, Databricks SQL).
  • Knowledge of REST APIs, OAuth/OIDC, ETL/ELT, Data Modeling, and Data Governance.
  • Experience with Terraform, GitLab, CI/CD, Docker, and cloud-native architecture.
  • Strong understanding of solution architecture, security, design reviews, and production support.

 Preferred Technologies

  • AWS: Lambda, S3, Glue, Athena, CloudWatch, ECS/Fargate, Step Functions.
  • AI Frameworks: LangChain, LangGraph, Amazon Bedrock.
  • Frontend: Vue.js, JavaScript.
  • Testing: PyTest, SonarQube, Ruff, Black.

 Desired Experience

  • 10+ years in Software Development/Data Engineering.
  • 3+ years leading technical teams and enterprise-scale AI/Data platforms.
  • Strong stakeholder management, communication, and mentoring skills.

 Domain: AI, Data Engineering, Analytics, Decision Support Systems, Airline Operations.

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