Lead Principal Platform Engineer, AI Tools

Salary: $96,800 - 306,400 per year Requirements:

• We have 12+ years of software engineering experience with a strong record of architecting complex production systems and leading across multiple engineering teams.
• We bring a solid technical background in distributed systems, cloud platforms, developer infrastructure, or large-scale backend systems, with the depth to design secure, scalable, reliable, and extensible platforms.
• We have experience applying or assessing LLMs, generative AI, AI agents, or related AI technologies, along with an understanding of the opportunities and engineering challenges involved in production AI systems.
• We can work effectively in ambiguous, fast-changing technical environments by forming hypotheses, prototyping, evaluating outcomes, learning from setbacks, and translating promising ideas into technical direction.
• We have proven ability to influence architecture and engineering strategy across teams without direct authority and to build alignment among senior technical and organizational stakeholders.
• We have experience taking new technologies or platform capabilities from exploration and proof of concept through architecture, production rollout, scale, and adoption while balancing innovation speed with long-term engineering quality.
• We hold a BS or MS in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• We ideally have experience building AI-powered developer tools, coding agents, engineering assistants, intelligent testing or debugging systems, autonomous development workflows, or AI-driven developer productivity platforms.
• We ideally have deep practical knowledge of LLMs, agentic architectures, reasoning models, tool use, context engineering, retrieval, inference, orchestration, evaluation, and emerging AI software engineering patterns.
• We ideally have experience designing AI platform abstractions that support rapidly changing models and capabilities while maintaining stable interfaces, security, observability, governance, and operational reliability.
• We ideally have a track record of using experimentation and quantitative evaluation to make decisions about emerging technologies, including defining success criteria and deciding when to scale, pivot, or stop.
• We ideally have demonstrated ability to challenge conventional approaches, introduce new technical directions, mentor senior engineers, and build organizational consensus around high-impact architectural decisions.

• We will define the architecture and technical strategy for AI Acceleration across Developer Tools, identifying where AI can meaningfully improve developer productivity and establishing the platforms, abstractions, and services needed to support those experiences.
• We will experiment extensively and learn quickly by building prototypes, evaluating emerging models and agentic technologies, testing unconventional approaches, and using measurable results to decide which ideas move forward.
• We will bring clarity to ambiguity by identifying high-value problems, forming technical hypotheses, challenging assumptions, comparing approaches, and turning fast-changing AI capabilities into actionable architectural direction.
• We will influence technical direction across the organization by building alignment among senior engineers, engineering leaders, AI/ML teams, product groups, and service teams without relying on direct authority.
• We will architect platforms for AI agents, LLM-powered developer experiences, context and retrieval, tool integration, orchestration, evaluation, and intelligent automation, while separating fast-moving AI technologies from durable platform abstractions.
• We will create a disciplined path from prototype to production by defining engineering patterns that help successful experiments become secure, observable, reliable, cost-efficient, and scalable OCI services.
• We will raise the technical standard for AI engineering through architecture reviews, reference implementations, evaluation frameworks, technical mentorship, engineering standards, and clear communication of architectural tradeoffs.
• We will develop ways to measure whether AI truly improves the developer experience using evaluation, telemetry, experimentation, developer feedback, and productivity signals to guide decisions and investment.
• We will anticipate changes in models, agent architectures, developer workflows, and AI infrastructure, designing platforms that can evolve without major rearchitecture as the underlying technology shifts.
• We will serve as a senior technical voice for AI Acceleration and Developer Tools, shaping strategy and representing the organization in architecture reviews and cross-OCI technical forums.

• AI
• AI Agents
• Architect
• Backend
• Cloud
• Support
• LLM
• Oracle
• Security

More:

We are Oracle Cloud Infrastructures Developer Platform Builder Tools organization, focused on building next-generation developer productivity platforms, intelligent workflows, and AI-powered engineering tools that speed up how software is built and delivered across the enterprise. This Lead Principal Platform Engineer role is a hands-on technical leadership position centered on AI Acceleration for Developer Tools, working with senior engineers, product managers, AI/ML teams, researchers, and OCI service organizations. The posting notes a U.S. hiring range of USD $96,800 to $306,400 per year, with potential bonus, equity, and compensation deferral, and outlines Oracles broad benefits package, including medical, dental, and vision coverage, disability insurance, life insurance, flexible spending accounts, commuter and parking benefits, a 401(k) with company match, and paid time off.

last updated 38 week of 2026