Forward Deployed Engineer, Enterprise AI
Tasks
- Architect scalable, secure AI systems
- Build integrations between Meta AI platforms and client infrastructure
- Define deployment standards and tooling
- Design reliable connections to CRMs data warehouses and custom APIs
- Drive advanced AI testing systems
- Identify and resolve performance latency and scalability bottlenecks
- Integrate external data sources
- Lead technical design for enterprise AI deployments
- Mentor engineers and lead cross functional initiatives
- Optimize inference speeds
- Resolve interoperability issues
- Synthesize field feedback into product roadmap decisions
- Translate deployment challenges into technical proposals
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Artificial Intelligence | Automated testing | Cloud Computing | Cloud Cost Management | Compliance | Cost Management | Data Residency | Data Warehousing | Distributed Storage | Distributed Systems | Evaluation | GCP | Generative AI | Inference Optimization | Interoperability | Latency optimization | Machine Learning | Model Deployment | Performance Tuning | Privacy | Safety testing | Scalability | Security | System Architecture
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