AI Led Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Deliver hands-on engineering and client-facing solutions from the pre-sales phase through the initial stages of delivery.

• Spearhead initiatives for enterprise AI platforms and agentic solutions.

• Design enterprise-level platforms and assist in cloud transformation initiatives.

• Implement and manage AI/ML production environments along with operational frameworks.

• Execute AIOps and observability platforms.

• Provide support for mission-critical platforms within regulated industries.

• Collaborate with teams across enterprise architecture, operations, security, delivery, and industry go-to-market strategies.

• Report directly to the Artificial Intelligence Leader for North America.

⛳️ Requirements

• Over 12 years of experience in AI, DevOps, Cloud Engineering, Site Reliability Engineering, or Platform Engineering.

• At least 3 years of practical experience with the AI stack.

• More than 5 years of experience in designing enterprise platforms.

• A minimum of 3 years implementing AIOps or observability platforms.

• Proven experience in leading enterprise cloud transformation initiatives.

• Familiarity with supporting platforms in mission-critical or regulated industries.

• Experience working with AI/ML production environments and operational frameworks.

• Strong skills in stakeholder management across enterprise architecture, operations, security, and delivery teams.

• Proficiency in Python programming (essential).

• Knowledge of Go, Shell Scripting, .NET, and AI copilots.

• Java experience is preferred.

• Familiarity with GenAI, LLMs, RAG, AgentCore, MCP, AWS Bedrock, SageMaker, vector databases, and model lifecycle management.

• Experience with AWS, Azure, or GCP.

• Knowledge of DevOps and automation technologies such as Terraform, CloudFormation, GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, FluxCD, or Azure DevOps.

• Proficiency in container and platform engineering technologies including Kubernetes, Amazon EKS, Docker, Helm, or Istio Service Mesh.

• Experience with AIOps platforms like Moogsoft, BigPanda, Dynatrace Davis AI, or Splunk ITSI.

• Knowledge of monitoring and observability technologies such as Datadog, Dynatrace, Splunk, New Relic, Grafana, Prometheus, Elastic Stack, or OpenTelemetry.

🏝️ Benefits

• Options for remote work.

• Opportunities for travel associated with the role.