Sr. AI Developer, Engineering
USD 144K-189K (estimate) Senior-level Full Time
Tasks
- Build and maintain event-driven architectures
- Build data pipelines for reporting and analytics
- Communicate complex AI solutions to stakeholders
- Create prototypes and proofs of concept
- Design data mapping and transformation
- Design end to end AI solution architecture
- Develop AI workflows using large language models
- Develop containerized applications
- Develop integrations using APIs
- Ensure monitoring, logging, and observability
- Implement CI/CD pipelines
- Implement authentication and authorization
- Implement retrieval-augmented generation
- Lead technical discovery sessions
- Orchestrate AI agents
- Support production troubleshooting and incident resolution
- Translate business requirements into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | APIs | Adobe Experience | Adobe Experience Cloud | Agent Orchestration | Audit Logging | Authentication | Authorization | Automated testing | BigQuery | C# | CI/CD | Cloud platform | Data Mapping | Data Pipelines | Distributed Systems | Docker | ELT | ETL | Embeddings | Evaluation | Event Driven | Event-driven architecture | Experience Cloud | Git | Google Cloud | Google Cloud Platform | Identity Federation | Java | JavaScript | Kubernetes | LLM | Language Models | Large Language Models | Marketing Cloud | Observability | Promomats | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Salesforce Marketing | Salesforce Marketing Cloud | Secrets management | SharePoint | Snowflake | TypeScript | Vector Databases | Veeva Vault | Vertex AI | Webhooks
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Architect | Engineer | Senior AI Engineer | Software Engineer | Solutions Architect
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