Job Description
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.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Summary
Lead client-facing AI solutioning and hands-on engineering from pre-sales through early delivery for enterprise AI platforms and agentic solutions. Requires 12+ years in AI, DevOps, Cloud or Platform Engineering, including 3+ years in AI stack and 5+ years designing enterprise platforms.
Responsibilities
Client-facing, hands-on engineering and solutioning from pre-sales through early delivery; design enterprise platforms; implement AIOps and observability; support cloud transformation programs
Qualifications
Experience leading enterprise cloud transformation programs; Experience supporting mission-critical or regulated industry platforms; Experience with AI/ML production environments; Strong stakeholder management
Experience requirements
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