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AI Tech Lead

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 1,001-5,000Since 2018H1B SponsorCompany Site LinkedIn

Location

Texas

Posted

60 days ago

Salary

Not specified

Professional Certificate12 yrs expEnglishAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaMicroservicesPythonScala

Job Description

• 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

Job Requirements

12+ years in technology, data engineering, Big Data, AI/ ML systems with proven experience at Palantir, Google, or Microsoft
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

Benefits

Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours