AI Ops Lead / AIOps Technical Delivery Lead

Job Title: AI Ops Lead / AIOps Technical Delivery Lead Location: Louisville, KY Duration: 6 months Experience Required: 8-10 years Primary Skills: AIOps, AI/ML, GCP, Automation, Ansible, Terraform Role Focus: Agentic AI, AIOps, Observability, Automation, Cloud Infrastructure Job Description - AI Ops Lead Job Title: AI Ops Lead / AIOps Technical Delivery Lead Location: Louisville, KY Duration: 6 months Experience Required: 8-10 years Primary Skills: AIOps, AI/ML, GCP, Automation, Ansible, Terraform Role Focus: Agentic AI, AIOps, Observability, Automation, Cloud Infrastructure Education Master’s degree preferred. Bachelor’s degree required in: Computer Science Information Technology Systems Engineering Related technical field Required Experience 8+ years of experience leading complex: Technical projects Product delivery Cloud infrastructure rollouts Experience working within a global enterprise IT environment. 2+ years of experience leading AI/AIOps platform deployments. Strong experience with enterprise-scale automation and cloud initiatives. Experience working with global delivery models and cross-functional technical teams. AI & Agentic AI Skills Deep understanding of AI concepts, including: Large Language Models (LLMs) Agentic AI Multi-agent reasoning Tool-calling architectures Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Experience designing or implementing Agentic AI architectures. Experience deploying LLM-based solutions in production environments. Experience with Google Cloud Vertex AI. Experience with agentic AI frameworks and dynamic agent registries. Strong understanding of AI tool-calling interfaces and integrations. Ability to translate complex enterprise environments into contextual schemas for AI consumption. Cloud & Observability Skills Hands-on experience with enterprise observability and monitoring platforms such as: Dynatrace Splunk CloudWatch Strong experience with cloud environments, particularly: Google Cloud Platform (GCP) AWS Experience with hybrid and multi-cloud environments. Knowledge of GCVE and hybrid cloud environments. Experience with telemetry ingestion and monitoring standardization. Experience implementing automated alerting and self-healing workflows. DevOps / SRE / Automation Strong understanding of Site Reliability Engineering (SRE) principles. Experience with automated testing. Infrastructure as Code (IaC) experience. Strong experience with: Ansible Terraform PowerShell Shell scripting Experience with CI/CD pipeline automation. Experience overseeing data pipelines and ETL validation. Familiarity with Snowflake and enterprise data validation processes. Experience developing automated remediation and self-healing solutions. Key Responsibilities Serve as the primary technical delivery lead for enterprise-wide AIOps and automation initiatives. Orchestrate Agentic AI and AIOps platform deployments. Drive milestone tracking, code integration, testing, and production deployment. Coordinate deployment of: Multi-agent reasoning systems Dynamic agent registries Tool-calling interfaces Agentic AI frameworks Utilize Google Cloud Vertex AI, MCP, and related agentic technologies. Lead enterprise observability and self-healing automation programs. Oversee telemetry ingestion and monitoring standardization across multi-cloud infrastructure. Drive automated alerting and self-healing workflows. Develop and deploy vulnerability tracking workflows. Establish automated security remediation frameworks across application and infrastructure portfolios. Ensure compliance with enterprise security and governance standards. Coordinate engineering, application support, data, and security teams. Manage resource dependencies and competing priorities. Drive accountability across multiple technical teams. Track project milestones, delivery health, and operational improvements. Establish KPIs covering: Delivery health Token consumption Operational MTTR improvements Financial savings Build executive reporting frameworks to measure the business value and cost savings of AI and automation initiatives. Provide concise status updates to executive leadership. Anticipate technical bottlenecks and independently drive resolution. Translate complex technical information into clear executive-level communication. Governance & Security Establish appropriate guardrails for: Data security AI safety Regulatory compliance Enterprise governance Ensure AI and automation solutions follow organizational security standards. Develop governance practices for enterprise AI/AIOps deployments. Support vulnerability management and automated remediation initiatives. Leadership & Managerial Skills Ability to work directly with clients in an onsite environment. Strong client engagement and stakeholder management skills. Proven technical leadership abilities. Experience managing global delivery teams. Strong decision-making and problem-solving skills. Excellent communication and executive presence. Ability to manage complex, high-visibility programs. Strong thought leadership capabilities. Experience with reporting, governance, and executive communications. Ability to operate with a high degree of autonomy. Key Resume Search Keywords GCP AIOps AI/ML Agentic AI LLM RAG MCP Automation GCVE Hybrid Cloud AWS Vertex AI Dynatrace Splunk CloudWatch Ansible Terraform PowerShell Shell Scripting SRE DevOps Observability Self-Healing Automation Pre-Screening Questions Explain an Agentic AI architecture you have designed or implemented. What problem did it solve? What is the difference between traditional AI workflows and Agentic AI systems? How have you used LLMs in production environments? What is RAG (Retrieval-Augmented Generation), and where have you applied it? What experience do you have with MCP (Model Context Protocol) or tool-calling architectures? Describe your experience with Google Cloud Vertex AI. How have you implemented AIOps or automated self-healing solutions? Describe your experience with enterprise observability platforms such as Dynatrace, Splunk, or CloudWatch. How have you used Ansible and Terraform in enterprise automation? Describe an automation initiative where you achieved measurable operational or financial savings. Role Classification Role Description: AI Ops Lead Essential Skills: AI Ops Lead Desirable Skills: Ansible, Terraform Keyword: AIOps / AI Automation Skills: Digital - Ansible | Digital - Terraform Experience Required: 8-10 years #J-18808-Ljbffr Talent Software Services