Platform Engineer III

Maximum Salary (US): 150000Minimum Salary (US): 130000Job Summary Platform Engineer III Job Summary Lead the deployment and solutioning of Generative AI and agentic systems in customer environments by owning end-to-end implementation across integration, testing, and stabilization phases. Collaborate with architects, product, and platform teams to design and deliver scalable, reliable, and production-grade AI solutions, ensuring adherence to standards, governance, and performance expectations. Key ResponsibilitiesLead end-to-end customer deployments across pilot, stabilization, and production phasesDesign and implement AI solution architectures, including APIs, workflows, integrations, and orchestration layersBuild and optimize RAG pipelines, agent workflows, and orchestration frameworks for real-world use casesDefine and execute testing, validation, and evaluation frameworks to ensure solution quality and performanceMonitor system performance and proactively identify, diagnose, and resolve issues across system layers Work across data, APIs, and platform components to ensure scalable and resilient system integrationDrive best practices for safety, governance, and responsible AI implementation across deploymentsCreate reusable solution patterns, accelerators, and documentation to improve delivery efficiencyCollaborate with cross-functional teams (engineering, platform, support, product) to align solution design and executionLead debugging and troubleshooting efforts across production systems, ensuring timely resolutionMentor and guide FDE I, II, and III engineers, contributing to team capability buildingParticipate in customer discussions, providing technical inputs, trade-offs, and solution recommendationsSkill Requirements Strong expertise in Python and software engineering best practices Deep understanding of APIs, microservices, and distributed system integration Hands-on experience with cloud platforms (Azure / AWS / GCP) and deployment architectures Proven experience working with Generative AI / LLM-based systems in production environments Strong problem-solving and system-level debugging skills Effective communication skills, including ability to engage with customer and internal stakeholders Other Requirements Experience with OpenAI / Azure OpenAI or similar APIs Strong knowledge of RAG architectures, prompt engineering, and evaluation frameworks Hands-on experience with agent frameworks (LangChain, LangGraph, AutoGen, etc.) Familiarity with vector databases, data pipelines, and large-scale data handling Experience with observability, monitoring, and performance optimization tools Exposure to cost, performance, and reliability optimization for AI systems