We are seeking a deeply technical, highly autonomous Technical Delivery Lead to drive the execution of strategic Artificial Intelligence, Agentic AI, AIOps, and Infrastructure Automation initiatives across a global enterprise environment.
This role is ideal for a technical leader who can operate at the intersection of architecture, software engineering, AI engineering, SRE, cloud infrastructure, and technical delivery. The successful candidate will not simply coordinate projects—they will be hands-on with technology, code, architecture, technical decisions, and engineering execution.
Key Responsibilities
• Lead end-to-end delivery of enterprise AI, Agentic AI, AIOps, observability, and infrastructure automation initiatives.
• Drive development and deployment of Agentic AI platforms, multi-agent solutions, MCP-based architectures, and automated self-healing infrastructure.
• Provide hands-on technical leadership, including Python development, asynchronous scripting, MCP server development, code reviews, and technical design.
• Orchestrate cross-functional engineering teams across AI/ML, cloud, infrastructure, SRE, security, and application engineering.
• Translate complex enterprise IT Infrastructure & Operations (I&O) environments into contextual schemas and tools that can be consumed effectively by AI agents.
• Develop and implement automation for incident remediation, vulnerability management, observability, runbook execution, and infrastructure self-healing.
• Work with enterprise observability platforms such as Dynatrace/Davis AI, Splunk, and CloudWatch.
• Establish technical guardrails covering AI safety, data security, compliance, access controls, and responsible AI execution.
• Drive CI/CD, Infrastructure as Code (IaC), automated testing, and cloud deployment practices.
• Provide technical oversight of data pipelines, including ETL processes and Snowflake validation.
• Conduct code reviews and establish engineering standards for AI agents, MCP servers, automation frameworks, and supporting services.
• Track delivery milestones, technical risks, operational outcomes, and financial benefits while providing strategic visibility to executive leadership.