Principal AI Architect & Hands-On Technical Lead

Location: Dublin, CA Salary: $185,000.00 USD Annually - $210,000.00 USD Annually Description: Principal AI Architect & Technical Lead
Location: Pleasanton, CA (Hybrid)
Salary: 185,000-$210,000
About the Opportunity
We are seeking a Principal AI Architect & Technical Lead to architect, build, and lead full-lifecycle AI/ML product development, from data engineering and model training through GenAI integration and intelligent application deployment.
This is an end-to-end leadership role for a hands-on builder who thrives on writing production code, deploying machine learning systems, integrating large language models (LLMs), and leading high-performing teams of AI and software engineers. The ideal candidate combines deep technical expertise with strategic leadership to deliver innovative, scalable AI solutions.
What You'll Do
Architect & Build AI Solutions

• Design and develop end-to-end machine learning systems, including data pipelines, feature stores, training environments, inference services, and monitoring frameworks.
• Architect scalable, cloud-native applications that leverage foundation models, Retrieval-Augmented Generation (RAG), and agentic AI workflows.
• Develop secure, privacy-focused machine learning solutions aligned with industry compliance and data governance requirements.
• Create explainable AI frameworks that provide transparency and trust in model outputs.
• Design multi-tenant AI architectures that ensure data isolation, scalability, performance, and reliability.

Hands-On Engineering

• Build and maintain robust data pipelines using BigQuery, Dataflow, Apache Beam, and related technologies.
• Train, optimize, and deploy machine learning models using TensorFlow, PyTorch, and Scikit-learn.
• Develop full-stack AI-powered applications using Python, Java, React, Angular, and cloud-native services.
• Implement MLOps practices that support reproducible training, CI/CD automation, model monitoring, and cost-effective scaling.

Generative AI & Agent Development

• Build and integrate GenAI capabilities including semantic search, knowledge retrieval, intelligent Q&A, summarization, conversational AI, and synthetic data generation.
• Design and develop AI agents and copilots using tools such as LangChain, CrewAI, Vertex AI, and related frameworks.
• Develop domain-specific LLM applications leveraging vector databases including FAISS and Pinecone.
• Prototype and deploy multi-agent systems that streamline complex business processes and decision-making workflows.

Technical Leadership

• Lead and mentor a team of AI engineers, machine learning engineers, and software developers.
• Define technical vision, architecture standards, and engineering best practices.
• Partner with Product, Data Science, and Executive Leadership teams to drive AI strategy and innovation.
• Guide architectural decisions and ensure successful delivery of AI initiatives from concept to production.

Required Qualifications

• 10+ years of experience in software engineering, machine learning engineering, or related fields.
• 5+ years of experience leading engineering teams and technical architecture initiatives.
• Proven success designing, building, and deploying production-scale AI/ML applications.
• Deep expertise with Generative AI technologies, LLM frameworks, agentic AI architectures, and MLOps practices.
• Experience operationalizing enterprise AI solutions, including governance, security, monitoring, and cost optimization.
• Demonstrated track record of delivering innovative products at scale.
• Strong communication, leadership, and cross-functional collaboration skills.

Preferred Technical Skills
Programming Languages & Frameworks

• Python
• Java
• SQL
• JavaScript / TypeScript
• TensorFlow
• PyTorch
• Scikit-learn
• React
• Angular

Cloud Platforms

• Google Cloud Platform (Google Cloud Platform)
  • Vertex AI
  • BigQuery
  • Cloud Functions
  • Cloud Run
  • Dataflow
  • Pub/Sub
• Oracle Cloud Infrastructure (OCI)
  • OCI Data Science
  • Autonomous Data Warehouse
  • OCI Functions
  • Oracle Kubernetes Engine (OKE)
  • Data Flow
  • Streaming

Data & MLOps

• BigQuery
• AlloyDB
• MongoDB
• Redis
• MLflow
• Kubeflow
• Apache Airflow
• Docker
• Kubernetes
• GitHub Actions
• Terraform

Generative AI & Agent Frameworks

• Vertex AI Gemini
• OpenAI
• Claude
• LangChain
• LlamaIndex
• FAISS
• Pinecone
• RAG Architectures
• Multi-Agent Systems
• Prompt Engineering & Orchestration

Developer Tools

• GitHub Copilot
• ChatGPT
• Cursor AI
• Locofy

Competitive compensation packages and benefits depending on location and position,

• Comprehensive medical, dental, and vision insurance
• 401(k) retirement savings plan
• Paid time off and company-recognized holidays
• Professional development and career growth opportunities
• Collaborative, innovative, and entrepreneurial work environment
• Exposure to cutting-edge AI technologies and high-impact initiatives
• Opportunity to make a meaningful contribution to a growing organization

If you're passionate about building transformative AI products and leading world-class engineering teams, we'd love to hear from you.
Please send resume and Linked IN to
Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
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