AI Led Engineering

AI Led Engineering Role Summary Role Type: Client-facing, hands-on engineering + solutioning (pre-sales through early delivery) Location: Major US hub (e.g., New York, Bay Area, Dallas, Chicago – flexible for the right candidate). Travel Expected. Ideally on site, then hybrid, then remote all options are possible but preferred in that order. Level: Manager/Principal/Senior Principal Business Unit: (Enterprise AI Platforms & Agentic Solutions). Reporting to: Artificial Intelligence Leader, North America. About Company: Global technology consulting and digital solutions company that enables enterprises across industries to reimagine how they operate, compete, and grow. By combining deep domain knowledge, advanced engineering, and transformation expertise, delivers measurable business impact at scale. Enterprise AI business unit, purpose built to help organizations move beyond pilots into scaled, product iongrade AI adoption, functional consulting, an AI Foundry, and agentic AI platforms to deliver integrated solutions that transform how work gets done across the enterprise.Operating across Banking, Insurance, Manufacturing, Retail/CPG, Energy & Utilities, Travel & Hospitality, HiTech, and Media, works closely with industry GTM teams to create repeatable AI solutions, accelerators, and transformation programs aligned to real business outcomes. Required Technical Skills Programming Python (must have) Go Shell Scripting Java (Preferred) .NET Co-Pilots Kiro GHCP Any other copilots AI Stack GenAI LLMs RAG AgentCore MCP AWS Bedrock SageMaker Vector Databases Model Lifecycle Management Cloud Platforms AWS/Azure/GCP DevOps & Automation (nice to have) Terraform CloudFormation GitHub Actions GitLab CI/CD Jenkins ArgoCD FluxCD Azure DevOps Container & Platform Engineering (nice to have) Kubernetes Amazon EKS Docker Helm Istio Service Mesh AIOps (nice to have) Moogsoft BigPanda Dynatrace Davis AI Splunk ITSI AI-driven event correlation engines Predictive analytics platforms Monitoring & Observability (nice to have) Datadog Dynatrace Splunk New Relic Grafana Prometheus Elastic Stack OpenTelemetry Required Experience 12+ years in AI, DevOps, Cloud Engineering, Site Reliability Engineering, or Platform Engineering. 3+ years hands on experience in AI stack 5+ years designing enterprise platforms 3+ years implementing AIOps or Observability platforms. Experience leading enterprise cloud transformation programs. Experience supporting mission-critical or regulated industry platforms. Experience working with AI/ML production environments and operational frameworks. Strong stakeholder management with enterprise architecture, operations, security, and delivery teams. All your information will be kept confidential according to EEO guidelines.