As a Platform Engineering Lead, you will architect and build the foundational technology platform powering enterprise data integration, business process modeling, and AI agent workflows. In this hands-on leadership role, you will define core platform architecture, establish engineering best practices, and direct the technical execution of forward-deployed engineering initiatives. You will bridge high-level system design and production delivery by working closely with operational stakeholders, translating complex business processes into scalable software and semantic data models. Your focus will be turning bespoke solutions into reusable, enterprise-grade capabilities that accelerate deployment cycles and elevate operational performance across diverse environments.
Key Responsibilities:
- Architect and develop the core technology platform, including a unified data layer connecting databases, APIs, documents, and real-time feeds.
- Develop semantic layers and ontologies to model business objects, relationships, operational workflows, and permissions.
- Build infrastructure enabling AI agents to securely access context, invoke tools, and execute workflows in production.
- Lead and mentor a team of Forward Deployed Engineers, establishing development standards, review processes, and engineering practices.
- Partner directly with operational stakeholders to translate complex business problems into robust software applications and data models.
- Convert custom customer-specific solutions into reusable platform capabilities and repeatable deployment patterns.
- Implement enterprise-grade security, identity management, data isolation, audit logging, and compliance controls across the platform.
Requirements:
- Lead-level experience with 6+ years in software engineering, including significant ownership of production software architecture.
- C1 English level or higher.
- Strong full-stack engineering proficiency with technologies such as TypeScript, Python, React, APIs, and cloud infrastructure.
- Demonstrated experience designing ontologies, knowledge graphs, semantic layers, or object-based enterprise data models.
- Proven track record taking software from early prototype through production deployment in distributed cloud environments.
- Strong background in enterprise security, access controls such as RBAC and ABAC, data isolation, encryption, and compliance frameworks.
- Demonstrated experience mentoring or leading engineers alongside direct collaboration with business stakeholders.
- Ability to travel internationally as required.
- Hands-on experience with Cloud Architecture, Data Modeling, Distributed Systems, API Design, Relational Databases, large language models.
