AI Platform Engineer

The AI Platform Engineer is a senior, hands‑on technical leader responsible for designing, building, and scaling production‑grade AI solutions across the organization. This role focuses on developing AI agents, reusable AI components, and enterprise AI capabilities that enable teams to adopt AI safely and effectively.

Working closely with the AI Platform Architect, development squads, AI Guilds, and platform teams, the AI Platform Engineer translates AI strategy into practical, reliable, and scalable implementations.

• Design, build, and deploy production AI agents and AI‑powered services.
• Develop reusable AI components, frameworks, and workflows that can be leveraged across teams.
• Prototype, validate, and product ionize AI use cases from concept through deployment.
• Create and maintain reference architectures and implementation patterns.

• Integrate and optimize Large Language Models (LLMs) within enterprise applications.
• Design and implement Retrieval‑Augmented Generation (RAG) architectures and pipelines.
• Develop prompt engineering frameworks, prompt versioning, testing, and evaluation processes.
• Build agentic workflows and multi‑step AI systems using orchestration frameworks.

• Support engineering teams in implementing AI capabilities within their products and services.
• Partner with development squads to accelerate AI adoption and best practices.
• Contribute to AI‑driven software development initiatives across the organization.
• Help define and evolve AI engineering standards through practical implementation experience.

• Establish AI observability, monitoring, evaluation, and performance measurement capabilities.
• Implement AI cost tracking, governance, and operational controls.
• Improve reliability, scalability, and maintainability of AI systems.
• Support production troubleshooting and continuous optimization of AI solutions.

• Work closely with the AI Platform Architect to align implementations with the broader AI strategy.
• Collaborate with Compliance and ARX PS teams to ensure responsible and compliant AI deployment.
• Co‑own AI workflow platforms (e.g., n8n) alongside Dev Ops and Platform Engineering teams.
• Provide implementation feedback that informs future platform standards and architectural decisions.

• 6‑8+ years of software engineering experience in production environments.
• Proven experience designing and delivering production AI solutions.
• Experience building AI agents, autonomous workflows, or agentic systems.
• Strong background integrating LLMs into enterprise applications and services.
• Experience delivering end‑to‑end AI projects from prototype to production.

• Advanced prompt engineering and prompt optimization skills.
• Experience with Retrieval‑Augmented Generation (RAG) architectures.
• Experience with vector databases and semantic search technologies.
• Strong API integration and orchestration experience.
• Experience with workflow automation platforms (e.g., n8n, Lang Graph, CrewAI, Auto Gen, or similar).
• Knowledge of AI evaluation, testing, and observability practices.
• Familiarity with cloud‑native architectures and distributed systems.

• Strong systems‑thinking and architectural problem‑solving capabilities.
• Experience designing scalable, reliable, and maintainable software systems.
• Strong understanding of software engineering best practices, including CI/CD, testing, and monitoring.
• Ability to balance experimentation with production‑grade engineering standards.