

Highbrow Technology Inc
Technical Expert
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Expert with a contract length of "unknown," offering a pay rate of "$/hour." Candidates must have strong skills in Python, Java, or Scala, and experience in AI systems, data engineering, and cloud platforms like GCP.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 20, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Richardson, TX
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🧠 - Skills detailed
#Data Management #Data Architecture #Data Engineering #Data Pipeline #ML (Machine Learning) #Security #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Scala #Data Science #Leadership #Microservices #Azure #Cloud #GCP (Google Cloud Platform) #Python #Deployment #Langchain #Java
Role description
About the Role
We are seeking a Subject Matter Expert (SME) or Technical Expert with deep experience in building and scaling data-driven and AI-based systems. The ideal candidate will combine hands-on technical expertise with strategic vision to drive the architecture, deployment, and optimization of next-generation AI and data platforms, including agentic AI solutions.
Key Responsibilities
• Architect and lead the design of scalable data and AI platforms, ensuring performance, reliability, and security across distributed systems.
• Develop and deploy agentic AI solutions — autonomous or semi-autonomous systems capable of reasoning, decision-making, and adaptive task execution.
• Provide thought leadership in data architecture, analytics, and AI system design, shaping organizational AI strategies.
• Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end intelligent systems.
• Evaluate and integrate cutting-edge tools such as Google Cloud Platform (GCP), Vertex AI, or LangChain-based frameworks for advanced reasoning capabilities.
• Mentor teams in emerging AI technologies, ensuring best practices in data management, model governance, and ethical AI deployment.
Required Skills & Qualifications
• Strong proficiency in Python, Java, or Scala, with experience building data pipelines, AI/ML workflows, or microservices architectures.
• Expertise in data engineering, machine learning, and cloud computing (GCP, AWS, or Azure).
• Deep understanding of LLMs (Large Language Models), retrieval-augmented generation (RAG), and autonomous/agentic AI systems.
• Demonstrated ability to build and scale intelligent agents or AI-driven decision support systems.
• Strong problem-solving, system design, and stakeholder management skills.
About the Role
We are seeking a Subject Matter Expert (SME) or Technical Expert with deep experience in building and scaling data-driven and AI-based systems. The ideal candidate will combine hands-on technical expertise with strategic vision to drive the architecture, deployment, and optimization of next-generation AI and data platforms, including agentic AI solutions.
Key Responsibilities
• Architect and lead the design of scalable data and AI platforms, ensuring performance, reliability, and security across distributed systems.
• Develop and deploy agentic AI solutions — autonomous or semi-autonomous systems capable of reasoning, decision-making, and adaptive task execution.
• Provide thought leadership in data architecture, analytics, and AI system design, shaping organizational AI strategies.
• Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end intelligent systems.
• Evaluate and integrate cutting-edge tools such as Google Cloud Platform (GCP), Vertex AI, or LangChain-based frameworks for advanced reasoning capabilities.
• Mentor teams in emerging AI technologies, ensuring best practices in data management, model governance, and ethical AI deployment.
Required Skills & Qualifications
• Strong proficiency in Python, Java, or Scala, with experience building data pipelines, AI/ML workflows, or microservices architectures.
• Expertise in data engineering, machine learning, and cloud computing (GCP, AWS, or Azure).
• Deep understanding of LLMs (Large Language Models), retrieval-augmented generation (RAG), and autonomous/agentic AI systems.
• Demonstrated ability to build and scale intelligent agents or AI-driven decision support systems.
• Strong problem-solving, system design, and stakeholder management skills.






