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.