Overview

Join to apply for the Principal AI Architect & Team Lead role at iTradeNetwork, Inc.

This range is provided by iTradeNetwork, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range: 200,000.00 / yr - $230,000.00 / yr

Additional compensation types: Annual Bonus

Direct message the job poster from iTradeNetwork, Inc.

At iTradeNetwork, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious : To feed the world. From the start, we’ve been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact.

Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We’re proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers.

Job Summary

We are seeking a Principal AI Architect & Hands-On Technical Lead to architect, build, and lead full-lifecycle AI / ML product development—from data pipelines and model training to GenAI integration and intelligent app deployment.

This is an end-to-end role for a builder-leader : someone who thrives on writing production code, deploying machine learning systems, integrating LLMs, and leading an elite team of engineers and ML practitioners.

Key Responsibilities

• Architect & Build Full-Stack AI Solutions
• Design and build end-to-end machine learning systems—including pipelines, feature stores, training / inference services, and monitoring.
• Architect scalable, modular applications that embed foundation models, retrieval-augmented generation (RAG), and agentic workflows directly into product experiences—all on Google Cloud Platform (GCP) or Oracle Cloud Infrastructure (OCI).
• Develop privacy-preserving ML systems that align with food industry compliance and traceability standards.
• Build explainable AI frameworks to enable business stakeholders to trust and validate model outputs.
• Design AI architectures that deliver tenant-aware intelligence while ensuring strict data isolation and performance SLAs across our multi-tenant SaaS platform.
• Develop robust data pipelines using BigQuery, Dataflow, and Apache Beam.
• Train, tune, and deploy ML models using TensorFlow, PyTorch, and Scikit-learn.
• Build full-stack AI-native applications with Python, Java, React / Angular, and GCP-native services.
• Implement robust MLOps pipelines that ensure reproducible training, CI / CD deployment, cost-efficient scaling, and real-time model monitoring.

• GenAI & AI Agent Development
• Integrate GenAI features : RAG pipelines, content summarization, Q&A, semantic search synthetic data generation, and multi-turn chat interfaces
• Design and develop AI agents and copilots using LangChain, CrewAI, and Vertex AI to automate complex business processes.
• Use vector databases (FAISS, Pinecone) to build domain-specific LLM workflows.
• Prototype and deploy multi-agent systems for autonomous decision-making and workflow execution across supply chain, pricing, traceability, and forecasting.

• Technical Leadership
• Lead a high-impact team of ML engineers and AI developers.
• Set technical strategy, define best practices, and guide architectural decision-making.
• Work cross-functionally with Product, Data Science, and Executive teams to shape AI innovation and delivery.

• What you’ll need :
• 10+ years in software / ML engineering; 5+ years leading architecture and engineering teams.
• Proven experience building production-ready AI / ML pipelines and applications end-to-end.
• Expertise in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling.
• Experience operationalizing LLMs for enterprise use cases : hallucination reduction, security, cost optimization, and monitoring.
• Track record of shipping high-quality intelligent products quickly and at scale.
• Strong team leadership, communication, and cross-functional collaboration skills.

• Languages & Frameworks :
• TensorFlow, PyTorch, Scikit-learn
• React, Angular
• GCP – Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, Pub / Sub
• OCI – Data Science, Autonomous Data Warehouse, Functions, Container Engine for Kubernetes (OKE), Data Flow, and Streaming

• Data & MLOps :
• BigQuery, AlloyDB, MongoDB, Redis
• GenAI & Agents :
• RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, prompt chaining
• GitHub Copilot, ChatGPT, Cursor AI, Locofy

All iTradeNetwork positions are hybrid unless listed otherwise; candidates must be located in the hub(s) listed.

Benefits

• Competitive salary packages
• Comprehensive medical, dental, vision, and life insurance benefits for you and your family
• Flex PTO for exempt employees and competitive PTO for non-exempt
• Paid parental leave for eligible employees
• 401(k) matching
• Tuition reimbursement on approved programs
• Great health & well-being benefits including Teladoc for general medical and mental health care

These benefits are only applicable to full-time employees

iTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran by applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO / AA / M / F / Vet / Disability

Seniority level - Mid-Senior level

Employment type - Full-time

Job function - Engineering and Information Technology

Industries - Software Development, Transportation, Logistics, Supply Chain and Storage, and Food and Beverage Services

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