DNS Solutions Inc.

Technical Delivery Lead - AI Platforms & Enterprise Automation

Remote, US$176,800-$280,800Posted 1 day ago

Job Description

Job Title

Technical Delivery Lead — AI Platforms & Enterprise Automation

Department

Application Infrastructure & Operations (AIO)

Reports To

IT Director

If you're a perfect fit email your resume to [email protected] in MS Word format and break down the skill set with years of experience along with intermediate or expert level. If you're a great fit I'll have you a interview in less then 5 days.

Position Overview

We are seeking a high-performing, deeply technical, and exceptionally self-reliant Technical Delivery Lead to orchestrate and drive the execution of core artificial intelligence, AIOps, and infrastructure automation streams across our enterprise environment.

In this role, you will serve as the primary operational driver and technical delivery lead across key automation initiatives—including agentic AI platforms, enterprise observability frameworks, vulnerability tracking, and automated self-healing solutions. Operating with a high degree of autonomy, you will bridge architectural strategy with hands-on technical delivery, coordinating cross-functional engineering teams to ensure milestones are met, financial savings are realized, and executive leadership receives strategic visibility.

Key Responsibilities

  • Orchestrate Agentic AI & AIOps Delivery: Serve as the technical delivery orchestrator for enterprise-wide Agentic AIOps initiatives. Drive milestone tracking, integration of developed code blocks, and deployment of multi-agent reasoning systems, dynamic agent registries, and tool-calling interfaces utilizing Google Cloud Vertex AI, Model Context Protocol (MCP), and agentic frameworks.
  • Lead Observability & Self-Healing Automation: Direct operational delivery for enterprise observability programs. Oversee telemetry ingestion, monitoring standardization, automated alerting, and self-healing automation workflows across multi-cloud infrastructure using enterprise observability tools (

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