Key skills
PythonData engineeringMachine learningCloud computingJavaScalaLLMsAgentic AI systemsSystem designStakeholder managementData strategyProblem-solvingTeam leadershipAIMachine LearningMLLarge Language ModelsLangChainData EngineeringAnalyticsAWSAzureGCPGoogle CloudVertex AILeadershipStakeholder Management
About this role
Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. The role involves architecting and leading the design of scalable data and AI platforms, developing agentic AI solutions, and providing thought leadership in data architecture and analytics.
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
Requirements:
- 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
- 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