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AgentOps Workflow Control Plane
16 Signals

AgentOps Workflow Control Plane

A governance and orchestration platform for deploying multi-agent workflows across enterprise tools.

Added May 27, 2026

Last signal 2d ago

Job Ads
AI Infrastructure
Developer Tools
Enterprise Automation
Opportunity Score
Opportunity: Medium (57%)
Evidence Strength
Vol: 30%
Urg: 50%
Spec: 100%
Market Analysis
medium
$ high
Mid-to-large enterprise engineering teams adopting AI agents for internal operations, product automation, cloud workflows, fintech workflows, observability, and cybersecurity assistants.
The Problem

Companies are hiring senior engineers to define agent protocols, tool contracts, handoff logic, state management, evaluation loops, and runtime governance from scratch. Production agent workflows need reliable orchestration, permission control, auditability, cost governance, and feedback mechanisms before they can safely take over real business processes.

Potential Solution

Build a SaaS control plane that lets engineering teams define multi-agent workflows, register tools through MCP-style contracts, manage handoffs and shared state, and monitor execution. The platform would include runtime isolation, permissions, audit logs, evaluation metrics, cost tracking, and feedback loops for improving agent performance in production.

Why Now?

Multiple companies are now moving from chatbot experiments to agents that execute real internal and product workflows. The repeated demand for multi-agent orchestration, A2A protocols, tool invocation, and governance suggests teams need infrastructure they can buy instead of building entirely in-house.

Market validation
Opportunity score

57

82% score confidence
Search demand

Trend snapshot pending

Competition (0)

No matched competitors yet

Showing 1-20 of 20 signals

Software Engineer 5 – Infrastructure Management
netflixJul 25, 2026

Build and run Tier‑0 control planes for core infrastructure workflows, with direct accountability for reliability, scalability, and cost. Define how AI agents safely interact with Netflix infrastructure by building sandboxing, identity, and governance primitives and shared human/agent interfaces.

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Software Engineer, GenAI Integrations
snaplogicJul 10, 2026

Agent Framework & MCP: Develop and maintain the SnapLogic Agent Framework to support complex agentic workflows (incorporating iteration control, parallel tool calls, and observable execution via Agent Visualizer). Contribute to the Model Context Protocol (MCP) Server platform, including lifecycle management, observability, and registry.

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AI Engineer (6 months contract)
contango-v2Jul 1, 2026

Design and orchestrate agentic workflows for reasoning, planning, and task execution. Build evaluation and observability: define metrics (accuracy, latency, cost-per-task), run eval pipelines, and monitor systems in production.

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AI Engineer
onebyzero-pte-ltd-202230737gJun 30, 2026

Build production-grade agentic systems on AWS and OBZ's Neo platform: multi-agent orchestration, RAG pipelines, tool design, MCP server development, human-in-the-loop workflows, and the integration layer that connects agents to real enterprise systems with real data quality constraints and real security perimeters.

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Senior AI Engineer
virtuos-holdings-pte-ltd-201802667eJun 30, 2026

- Helps shape the **central agent runtime** architecture: deployment, registry, monitoring, and governance. - Evolve the agent loop/harness (prompt orchestration, tool invocation, and sub-agent delegation) and adapt open-source patterns to our use cases.

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+17 more signals