Highbrow Technology Inc
Building HighBrow Technology || Lead Technical Recruiter at Highbrow Technology Inc
Job Title: Architect AI (Subject Matter Expert (SME) Level)
Experience: 12+ years in technology, data engineering, Big Data, AI/ML systems with proven experience at Ex Google, Ex Microsoft, Ex Palantir
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.
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.
Seniority level Mid‑Senior level
Employment type Contract
Job function Consulting, General Business, and Information Technology
Industries IT Services and IT Consulting, Business Consulting and Services, and IT System Data Services
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Experience: 12+ years in technology, data engineering, Big Data, AI/ML systems with proven experience at Ex Google, Ex Microsoft, Ex Palantir
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.
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.
Seniority level Mid‑Senior level
Employment type Contract
Job function Consulting, General Business, and Information Technology
Industries IT Services and IT Consulting, Business Consulting and Services, and IT System Data Services
#J-18808-Ljbffr