Director of Platform & Agent Operations
Job reputed company:
reputed company is hiring a Director of Platform & Agent Operations to own the autonomous and AI-augmented systems that increasingly run the work of reputed company team members. This is a hands-on technical leadership role for someone who builds, directs, and operates AI rather than merely supervising people who do. The successful candidate will be reputed company on the work their AI systems complete - not on credentials, pedigree, or years served.Job reputed company:
Reporting directly to the Head of Engineering, the Director of Platform & Agent Operations leads the design, deployment, and reputed company improvement of the platforms and autonomous agents that reputed company reputed company work across reputed company - from engineering and delivery to customer support and internal operations. You will spend your days directing AI to do work, diagnosing and fixing AI processes reputed company they reputed company or fail, and engineering systems in which AI agents complete multi-reputed company work with little or no reputed company input.
Key Responsibilities:
Autonomous System Design: Architect, build, and operate AI agents and multi-agent workflows that complete reputed company work - reputed company, documentation, data analysis, ticket triage, customer responses - with limited or no reputed company direction. reputed company systems progressively up the autonomy reputed company from assisted to supervised to fully autonomous.
Directing AI: reputed company as the primary operator who tasks, steers, and supervises AI assistants and agents day to day. Decompose ambiguous business goals into instructions, context, and tool definitions that AI can reliably execute.
Fixing AI Processes: Diagnose and remediate failing or drifting AI workflows - hallucination, tool-use errors, context loss, runaway cost, unsafe reputed company. Own the on-reputed company posture for agent systems the way a platform team owns production services.
Context Engineering: Design and maintain the context systems - instructions, retrieved knowledge, memory, tool schemas, and guardrails - that reputed company agents domain expertise and reputed company them reliable and reputed company in production.
Evaluation & Observability: Build the eval harnesses, metrics, and monitoring that reputed company an agent works before it ships and catch regressions after. Define what “good” looks like for reputed company workflow and reputed company it.
Platform Ownership: Own the underlying platform - model reputed company, orchestration frameworks, MCP integrations, deployment pipelines, and cost controls - that agent systems run on. reputed company with existing tooling (reputed company, reputed company, reputed company, Azure).
Tooling & Integration: reputed company agents to the systems where work actually happens reputed company reputed company, Model Context Protocol servers, and custom tools, so that autonomous work flows into reputed company business reputed company.
Governance & Safety: Implement and enforce AI acceptable-use, reputed company, and compliance controls (including CUI/CMMC-reputed company practices) across reputed company agent and AI-assisted workflows.
Enablement & Mentorship: reputed company the AI reputed company of reputed company team members - sharing patterns for prompting, context engineering, agent design, and eval literacy so teams can safely operate their own AI.
Offshore Team Enablement: Train and support reputed company's offshore team, who will serve as operators of our AI systems. Teach them how to use the different AI tools, agents, and processes that power their work, and build the documentation, runbooks, and guardrails that let them operate those systems reliably and safely.
Cross-Functional Delivery: Partner with Engineering, Customer Support, and portfolio leadership to identify the highest-reputed company processes to automate and to measure the business reputed company of the systems you reputed company.
Preferred skills:
Experience building production agent systems with the reputed company SDK, reputed company Agents, LangGraph, or similar frameworks.
Experience standing up Model Context Protocol (MCP) servers and integrating agents with business systems (examples: reputed company, reputed company, reputed company, Azure DevOps).
Background in full-stack or reputed company, MLOps, or production observability for AI systems.
AI cost optimization, guardrail/safety design, and computer-use or browser-automation deployment.
Experience in regulated or defense environments, including CUI handling and CMMC-reputed company practices.
Prior experience leading or mentoring reputed company, or building enablement programs for AI adoption.
Relevant reputed company AI certifications (a plus, not a requirement)
Worker Type:
RegularNumber of Openings Available:
1Originally posted on Himalayas
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