Senior Technical Consultant - AI Platform Engineer
Tasks
- Build LLM based application patterns
- Build infrastructure as code
- Conduct technical discovery
- Create cloud landing zones
- Deliver cloud migration
- Design event-driven systems
- Design solution architecture
- Develop RAG solutions
- Develop developer tooling
- Develop migration roadmaps
- Implement GitOps workflows
- Implement automation and self service workflows
- Implement observability
- Implement platform security governance
- Implement responsible AI governance
- Integrate AI coding assistants
- Integrate vector databases
- Lead customer workshops
- Maintain technical documentation
- Manage Kubernetes environments
- Mentor engineers
- Modernize enterprise platforms
- Optimize cloud costs
- Plan migration waves
- Prototype with AI agents
- Set up CI/CD pipelines
Perks/Benefits
- Certification support
- Employee Wellness Initiatives
- Flexible work arrangements
- Health insurance
- Learning and development
- Paid time off
- Retirement and statutory benefits
Skills/Tech-stack
AI Agents | APIs | AWS | Application Modernization | Automation | Azure Bicep | Bash | CI/CD | Cloud Computing | Cloud Migration | Containers | DevOps | Docker | Event Driven | Event-driven architecture | FinOps | Generative AI | Git | GitOps | Google Cloud | Infrastructure as Code | Kubernetes | LLMs | Microsoft Azure | Model APIs | Observability | Platform Engineering | Policy-as-Code | Powershell | Prompt engineering | Python | RAG | Scripting | Security Governance | Service Mesh | Terraform | Vector Databases | “as-code”
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