- Company Name
- iTradeNetwork, Inc.
- Job Title
- Principal AI Software Architect
- Job Description
-
**Job Title**
Principal AI Software Architect
**Role Summary**
Design, build, and lead the end‑to‑end development of AI/ML products, including data pipelines, model training, GenAI integration, agent workflows, and full‑stack application delivery. Own the technical strategy, MLOps pipelines, and privacy/compliance controls while mentoring a high‑impact team of engineers and data scientists.
**Expectations**
- 10+ years in software and ML engineering; 5+ years in architecture and team leadership.
- Proven record of shipping production‑ready AI systems at scale.
- Expertise in GenAI, LLM operationalization, multi‑agent architectures, and MLOps tooling.
- Strong cross‑functional communication with product, data science, and executive stakeholders.
**Key Responsibilities**
- Architect scalable, modular AI solutions on cloud platforms (GCP, OCI).
- Build end‑to‑end data pipelines (BigQuery, Dataflow, Apache Beam).
- Develop, tune, and deploy models using TensorFlow, PyTorch, Scikit‑learn.
- Create AI‑native applications with Python, Java, React/Angular and cloud services (Vertex AI, Cloud Run, Functions).
- Implement MLOps CI/CD, cost‑efficient scaling, real‑time monitoring, and reproducibility.
- Integrate GenAI features: RAG pipelines, semantic search, synthetic data, multi‑turn chat.
- Design and deploy autonomous agents and copilots (LangChain, CrewAI, Vertex AI), leveraging vector databases (FAISS, Pinecone).
- Ensure privacy, explainability, and compliance with food‑industry traceability standards.
- Lead technical strategy, set best practices, and guide architectural decisions for a multi‑tenant SaaS platform.
- Collaborate with Product, Data Science, and executive teams to shape AI innovation.
**Required Skills**
- Programming: Python, Java, JavaScript (React/Angular).
- ML frameworks: TensorFlow, PyTorch, Scikit‑learn.
- Cloud platforms: Google Cloud (Vertex AI, BigQuery, Pub/Sub, Cloud Functions, Cloud Run, Dataflow), Oracle Cloud Infrastructure (OCI Data Science, Autonomous Data Warehouse, Functions, OKE).
- Data & storage: BigQuery, AlloyDB, MongoDB, Redis, vector DBs (FAISS, Pinecone).
- GenAI & Agents: RAG pipelines, LangChain, CrewAI, prompt chaining, tool‑use.
- MLOps: CI/CD pipelines, reproducibility, cost optimization, real‑time monitoring.
- Leadership: team management, cross‑functional collaboration, communication.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field (advanced degree preferred).
- Professional certifications in cloud ML engineering (e.g., GCP Professional Machine Learning Engineer, Oracle Cloud Digital Leader) are desirable.
San francisco, United states
On site
Senior
03-11-2025