Director, Applied AI & Agentic Platform Engineering
480 WASHINGTON BOULEVARD JERSEY CITY, United States
USD 170K-300K Executive-level Full Time
Tasks
- Apply infrastructure as code for reliable deployments
- Build RAG pipelines with grounding and evaluation
- Build prototypes and contribute to codebase
- Collaborate with AI platform enterprise architecture and vendors
- Define measure and report platform KPI impact
- Design multi-agent systems and orchestration
- Develop software and machine learning roadmaps
- Ensure data privacy, security, and regulatory compliance
- Implement CI/CD, automated testing, and monitoring
- Integrate and operationalize large language models
- Lead agentic AI platform architecture and development
- Recruit hire and mentor engineering team
- Serve as lead engineer and technical authority
- Translate business needs into technical solutions
Perks/Benefits
- 401k
- Disability insurance
- Life insurance
- Medical, dental, and vision coverage
- Paid time off
- Wellness programs
Skills/Tech-stack
AI Governance | API Security | AWS | Access Control | Agent systems | Agentic Frameworks | Cassandra | Docker | Domain-Driven Design | Driven systems | EKS | ELK | Elastic | Encryption | Event Driven | Event Driven Systems | GCP | GKE | GRPC | GitHub Actions | Go | Google ADK | Grafana | Java | Jenkins | Kafka | Knowledge graphs | Kubernetes | Language Models | Large Language Models | MLOps | Microservices | Model Context Protocol | MongoDB | Multi-Agent | Multi-Agent Systems | Oracle | Pinecone | PostgreSQL | Prometheus | Python | REST | Responsible AI | Retrieval-Augmented Generation | Secure Coding | Splunk | Spring Boot | Terraform | Vector Databases | Vertex AI | Zero Trust
Regions
Countries
States
Cities
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