AI Led Engineering
About The Position
This is a client-facing, hands-on engineering and solutioning role, covering pre-sales through early delivery. The role is within the Enterprise AI Platforms & Agentic Solutions business unit, which is purpose-built to help organizations move beyond pilots into scaled, production-grade AI adoption. This unit offers functional consulting, an AI Foundry, and agentic AI platforms to deliver integrated solutions that transform how work gets done across the enterprise. The role operates across various industries including Banking, Insurance, Manufacturing, Retail/CPG, Energy & Utilities, Travel & Hospitality, HiTech, and Media, working closely with industry GTM teams to create repeatable AI solutions, accelerators, and transformation programs aligned to real business outcomes.
Requirements
- 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
- 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
Nice To Haves
- Java
- DevOps & Automation
- Terraform
- CloudFormation
- GitHub Actions
- GitLab CI/CD
- Jenkins
- ArgoCD
- FluxCD
- Azure DevOps
- Container & Platform Engineering
- Kubernetes
- Amazon EKS
- Docker
- Helm
- Istio Service Mesh
- AIOps
- Moogsoft
- BigPanda
- Dynatrace Davis AI
- Splunk ITSI
- AI-driven event correlation engines
- Predictive analytics platforms
- Monitoring & Observability
- Datadog
- Dynatrace
- Splunk
- New Relic
- Grafana
- Prometheus
- Elastic Stack
- OpenTelemetry
Responsibilities
- Client-facing, hands-on engineering and solutioning
- Pre-sales through early delivery support
- Designing enterprise platforms
- Implementing AIOps or Observability platforms
- Leading enterprise cloud transformation programs
- Supporting mission-critical or regulated industry platforms
- Working with AI/ML production environments and operational frameworks
- Stakeholder management with enterprise architecture, operations, security, and delivery teams
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
