Location: Dublin, CA
Salary: $185,000.00 USD Annually - $210,000.00 USD Annually
Description: Principal AI Architect & Technical LeadLocation: Pleasanton, CA (Hybrid)
Salary: 185,000-$210,000
About the OpportunityWe 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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