Subject Matter Expert (SME)/Technical Expert - 56998

Turing; Austin (TX); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading AI research accelerator is looking for a Subject Matter Expert or Technical Expert to drive innovative AI and data solutions. This role focuses on architecting scalable systems and being a thought leader in AI strategies. Ideal candidates will have extensive knowledge in programming languages like Python and Java and strong skills in data engineering and cloud computing. Join us to accelerate AI transformation with high-impact projects in a collaborative environment.

Qualifications

• Strong proficiency in programming languages such as Python, Java, or Scala.
• Experience in building data pipelines, AI/ML workflows, or microservices.
• Demonstrated ability to build and scale intelligent AI systems.

Responsibilities

• Architect scalable data and AI platforms with reliability and security.
• Develop autonomous AI solutions capable of decision-making.
• Mentor teams in ethical AI deployment practices.

Skills

Proficiency in Python, Java, or Scala

Experience in data pipelines

Expertise in data engineering

Deep understanding of LLMs

Machine learning experience

Education

Master’s or Ph.D. in Computer Science, Data Science, or AI

Tools

Google Cloud Platform

LangChain

Job description

Overview

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.

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.

Preferred Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, AI, or related field.
• Prior experience leading teams in AI/ML innovation, data strategy, or enterprise AI platform development.
• Familiarity with frameworks like LangChain, CrewAI, AutoGPT, or similar agentic orchestration technologies.
• Exposure to defense, finance, or mission-critical enterprise systems leveraging AI for automation or decision intelligence.

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

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