Subject Matter Expert / AI Technical Expert - SMETE 25-33677

Qualifications

• Experience Required: 8+ years in technology, data engineering, AI systems, or related technical domains
• This role requires a blend of technical mastery, architectural vision, and hands-on leadership to develop next-generation data, AI, and agentic systems
• Proven experience working at Palantir, Google, or equivalent high-scale technology companies
• Strong proficiency in Python, Java, or Scala, including experience with data pipelines, AI/ML workflows, or microservices
• Expertise in data engineering, machine learning, and cloud computing (Google Cloud Platform, AWS, or Azure)
• Deep understanding of Large Language Models (LLMs), RAG (retrieval-augmented generation), and agentic AI systems
• Demonstrated experience building and scaling intelligent agents or AI-driven decision support systems
• Exceptional problem-solving, system design, and stakeholder management capabilities

Responsibilities

• Architect and lead the design of scalable, secure, and high-performing data and AI platforms across distributed systems
• Develop and deploy agentic AI solutions capable of autonomous or semi-autonomous reasoning, decision-making, and task execution
• Provide technical leadership in data architecture, analytics, and AI system design, influencing organization-wide AI strategy
• Partner with cross-functional teams data scientists, engineers, product teams to deliver integrated intelligent systems
• Evaluate and integrate advanced platforms such as Palantir Foundry, Google Cloud Platform (Google Cloud Platform), Vertex AI, and LangChain-based frameworks for complex reasoning and automation
• Mentor engineering teams on emerging AI technologies, data governance, ethical AI, and best practices in modern AI workflows

Full Description

Job Title: Subject Matter Expert (SME) / Technical Expert

Location: Palo Alto, CA [Hybrid / Onsite]

Experience Required: 8+ years in technology, data engineering, AI systems, or related technical domains

Position Overview

A leading organization is seeking a highly accomplished Subject Matter Expert (SME) or Technical Expert with deep experience in building and scaling data-driven and AI-based systems.

Candidates with prior experience at Palantir, Google, or comparable world-class technology companies are strongly preferred.

This role requires a blend of technical mastery, architectural vision, and hands-on leadership to develop next-generation data, AI, and agentic systems.

Key Responsibilities

• Architect and lead the design of scalable, secure, and high-performing data and AI platforms across distributed systems.

• Develop and deploy agentic AI solutions capable of autonomous or semi-autonomous reasoning, decision-making, and task execution.

• Provide technical leadership in data architecture, analytics, and AI system design, influencing organization-wide AI strategy.

• Partner with cross-functional teams data scientists, engineers, product teams to deliver integrated intelligent systems.

• Evaluate and integrate advanced platforms such as Palantir Foundry, Google Cloud Platform (Google Cloud Platform), Vertex AI, and LangChain-based frameworks for complex reasoning and automation.

• Mentor engineering teams on emerging AI technologies, data governance, ethical AI, and best practices in modern AI workflows.

Required Skills & Qualifications

• Proven experience working at Palantir, Google, or equivalent high-scale technology companies.

• Strong proficiency in Python, Java, or Scala, including experience with data pipelines, AI/ML workflows, or microservices.

• Expertise in data engineering, machine learning, and cloud computing (Google Cloud Platform, AWS, or Azure).

• Deep understanding of Large Language Models (LLMs), RAG (retrieval-augmented generation), and agentic AI systems.

• Demonstrated experience building and scaling intelligent agents or AI-driven decision support systems.

• Exceptional problem-solving, system design, and stakeholder management capabilities.

Preferred Qualifications

• Master s or Ph.

D. in Computer Science, AI, Data Science, or a related field.

• Experience leading teams focused on AI/ML innovation, enterprise AI strategy, or platform development.

• Familiarity with agent orchestration frameworks such as LangChain, CrewAI, AutoGPT, or similar technologies.

• Background supporting defense, finance, or mission-critical enterprise systems involving automation and decision intelligence.