What are the responsibilities and job description for the AI Architect position at Skywaves Rise?
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.