AI Architect

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 — ideally with prior tenure at Palantir, Google, or comparable global tech innovators. 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 Palantir Foundry, 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

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