Technical Lead - AI Platform

We are seeking an exceptional Technical Lead - AI Platform to architect, build, and lead the development of next-generation AI-powered products. This is a hands-on leadership role for a builder who thrives on developing production-grade machine learning systems, deploying Generative AI solutions, and leading high-performing engineering teams.

You will own the full AI product lifecycle, from data engineering and model development through deployment, monitoring, and continuous optimization. The ideal candidate combines deep technical expertise with strong leadership capabilities and can translate emerging AI technologies into scalable business solutions.

If you’re passionate about building intelligent systems that solve complex real-world problems and want to shape the future of AI-driven products, we’d love to hear from you. What You’ll Do Architect & Build End-to-End AI Solutions

• Design and develop scalable machine learning platforms, including data pipelines, feature stores, training environments, inference services, and monitoring frameworks.
• Architect AI-native applications leveraging foundation models, Retrieval-Augmented Generation (RAG), and agent-based workflows embedded directly into customer-facing products.
• Build solutions on Google Cloud Platform (Google Cloud Platform) and Oracle Cloud Infrastructure (OCI).
• Develop privacy-first AI systems that align with food industry compliance, traceability, and data governance requirements.
• Create explainable AI frameworks that provide transparency, trust, and business validation of model outcomes.
• Design multi-tenant AI architectures that deliver intelligent experiences while maintaining strict data isolation, security, and performance standards.

Hands-On Engineering

• Develop and optimize large-scale data pipelines using BigQuery, Dataflow, and Apache Beam.
• Train, fine-tune, and deploy machine learning models using TensorFlow, PyTorch, and Scikit-learn.
• Build full-stack AI applications using Python, Java, React, Angular, and cloud-native technologies.
• Implement robust MLOps practices for reproducible training, CI/CD deployment, model governance, monitoring, and cost optimization.

Generative AI & Agent Development

• Build and deploy GenAI solutions including:
• Retrieval-Augmented Generation (RAG)
• Conversational AI and chat experiences
• Semantic search
• Content summarization
• Question-answering systems
• Synthetic data generation
• Develop AI agents and copilots using LangChain, CrewAI, Vertex AI, and modern LLM frameworks.
• Implement vector-based knowledge systems using FAISS and Pinecone.
• Design multi-agent architectures that automate business workflows across supply chain operations, pricing, forecasting, and traceability processes.

Technical Leadership

• Lead, mentor, and develop a high-performing team of AI engineers, machine learning engineers, and software developers.
• Establish architectural standards, engineering best practices, and technology roadmaps.
• Drive technical strategy and innovation across AI initiatives.
• Collaborate closely with Product, Data Science, and Executive Leadership teams to prioritize and deliver impactful AI solutions.
• Foster a culture of experimentation, continuous learning, and engineering excellence., 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
• Functions
• Container Engine for Kubernetes (OKE)
• Data Flow
• Streaming

Data & MLOps

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

Generative AI & Agent Frameworks

• Vertex AI Gemini
• OpenAI
• Claude
• LangChain
• LlamaIndex
• FAISS
• Pinecone
• Retrieval-Augmented Generation (RAG)
• AI Agents & Multi-Agent Systems
• Prompt Engineering & Orchestration

Developer Productivity Tools

• GitHub Copilot
• ChatGPT
• Cursor AI
• Locofy

Who You Are AI-First Thinker (Raise the Bar)

You instinctively look for opportunities to embed intelligence into solutions from the start rather than adding AI as an afterthought. Bias for Action

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’s preferred).
• 10+ years of experience in software engineering, machine learning engineering, or AI development.
• 5+ years of experience leading technical teams, engineering organizations, or architecture initiatives.
• Proven track record of designing, building, and deploying production-grade AI/ML systems at scale.
• Deep expertise in machine learning, MLOps, cloud architecture, and distributed systems.
• Hands-on experience operationalizing large language models (LLMs) in enterprise environments.
• Experience implementing solutions for:
• Hallucination mitigation
• AI governance
• Security and privacy controls
• Performance monitoring
• Cost optimization
• Strong communication skills with the ability to influence stakeholders across technical and business functions.

Technical Expertise Programming Languages & Frameworks

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

Cloud Platforms

You thrive in fast-moving environments, embrace ambiguity, and continuously adapt as AI technologies evolve. Ownership Mindset

You proactively identify opportunities, solve problems, and drive outcomes without waiting for direction. Collaborative Leader

You inspire teams, foster innovation, and bring people together to solve challenging technical problems. Builder at Heart

You enjoy writing code, shipping products, and seeing your work create measurable business value. Why Join Us?

• Opportunity to lead the development of cutting-edge AI products and platforms.
• Work with modern cloud, machine learning, and Generative AI technologies.
• Influence technical strategy and product direction.
• Collaborate with talented engineers, data scientists, and business leaders.
• Competitive salary and comprehensive benefits package.
• Entrepreneurial, innovative culture that values ownership, collaboration, and continuous learning.
• Significant opportunities for professional growth and career advancement.