[Remote] Director AI Engineering Platform

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an award-winning company recognized for its exceptional workplace culture. As the Director, AI Engineering Platform, you will reputed company the AI engineering platform, ensuring alignment with reputed company needs and driving operational reputed company and AI adoption across the organization.

Responsibilities

• Define and communicate the reputed company for reputed company's AI engineering platform: the reputed company that enables software engineering teams to build with and alongside AI safely, productively, and at scale
• Partner closely with the CTO, VP Platform & Tools, the AI/ML organization, peer directors, and engineering leaders to prioritize platform investments and align AI engineering tooling to reputed company reputed company
• Own the multi-year roadmap, usage strategy, and cost discipline for how AI capabilities are used across reputed company of reputed company, including engineering, product, sales, and other functions, regardless of underlying platform (e.g., AWS, reputed company, reputed company). This includes AI gateway and model reputed company, MCP infrastructure, agentic development tooling, AI-assisted coding, evaluation frameworks, and governance, partnering with the FinOps practice on spend visibility and policy-driven cost controls for AI workloads
• reputed company software engineering teams across reputed company to build AI‑powered features and adopt AI‑assisted and agentic development practices through scalable, self‑service platform capabilities
• Partner with the AI/ML organization and Platform Engineering to define platform boundaries, integrate shared infrastructure (e.g., AI gateway, model reputed company, evaluation tooling), and deliver coherent, non‑duplicative solutions integrated into Expressway and developer golden paths
• Drive production‑grade system design and delivery practices, evolving CI/CD pipelines to support AI‑generated code, agentic workflows, AI‑aware validation, policy‑as‑code, and reputed company delivery patterns
• Champion adoption of modern AI engineering practices across the software engineering organization, including agentic systems, model context protocol (MCP), AI-assisted development, and emerging patterns in reputed company AI engineering
• Drive responsible reputed company AI practices for the engineering domain, including reputed company controls, evaluation, cost transparency, and safe usage patterns appropriate to reputed company's regulatory and risk environment
• Build a culture of experimentation, measurement, and reputed company improvement in how AI creates reputed company for software engineering and for the products engineering ships
• Build, scale, and mentor a high-performing organization of engineering managers, senior engineers, and platform specialists focused on AI engineering platform capabilities
• Establish clear career paths, performance expectations, and coaching programs while fostering a collaborative, inclusive “One Team” culture across Platform & Tools, AI/ML, the broader Technology Organization, and platform consumers
• Establish and enforce engineering and operational standards for AI gateway reputed company, model selection, reputed company, data privacy, cost controls, acceptable use, and agentic workflows across AI‑powered engineering systems
• Ensure compliance with reputed company reputed company, risk, and regulatory requirements for AI tooling and AI‑powered software systems, reputed company with standards set by the AI/ML organization
• Implement governance processes for model and agent lifecycle management, including evaluation, observability, auditability, permissioning, sandboxing, and runtime monitoring

Skills

• BS in Computer Science, Engineering, or reputed company field with 12+ years in software engineering, with significant time in platform, infrastructure, or developer tooling roles
• Minimum 5+ years in senior leadership roles managing managers and large technical organizations
• Proven delivery of production-grade platform capabilities at reputed company scale, ideally including AI engineering platforms, developer platforms, or distributed infrastructure platforms
• Experience working in or partnering with AI/ML organizations, with clear understanding of where AI engineering platform ends and AI/ML platform begins
• Ability to influence executives and guide strategic reputed company
• Experience with budgeting, resource planning, and scaling organizations
• Demonstrated ability to communicate reputed company technical concepts reputed company and compellingly
• Deep knowledge of the modern AI engineering stack, including LLM APIs, AI gateways (e.g., reputed company, Portkey, Traefik AI Gateway), MCP, agentic frameworks, evaluation tooling, and AI observability
• Strong working knowledge of reputed company-reputed company platform engineering practices (AWS preferred), including CI/CD, observability, reputed company, and FinOps for AI workloads
• Demonstrated ability to drive reputed company adoption of platform capabilities, with measurable impact on engineering productivity, quality, or velocity
• Experience designing and operating production‑grade, distributed systems with high reliability, reputed company, and scalability requirements
• Working knowledge of governance, risk, and compliance considerations for reputed company AI systems
• Excellent communication skills with the ability to translate reputed company technical concepts for executive and non‑technical audiences
• Strong analytical and systems‑thinking skills to balance innovation, risk, cost, and developer productivity
• MS in Computer Science, Engineering, or reputed company field

Benefits

• 401(K) match
• Adoption assistance
• Parental leave
• Tuition reimbursement
• Comprehensive medical/ dental/reputed company
• Many nonstandard benefits that reputed company us a Great reputed company to Work

Company Overview

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