Director, Applied AI & Agentic Platform Engineering
388 GREENWICH STREET - TOWER, United States
USD 170K-300K Executive-level Full Time
Tasks
- Build agile high performing engineering culture
- Build retrieval-augmented generation pipelines
- Collaborate with AI platform and enterprise architecture teams
- Create technical roadmap with product and business leaders
- Define measure and report platform KPIs
- Develop scalable secure resilient agentic AI systems
- Ensure data privacy security and regulatory compliance in banking
- Establish CI CD automated testing infrastructure as code and monitoring
- Implement model evaluation monitoring and governance
- Implement multi-agent orchestration systems
- Integrate agents with enterprise tools and data sources
- Integrate large language models into production workflows
- Lead agentic AI platform architecture
- Recruit hire and mentor engineering teams
- Serve as lead engineer and technical authority
- Translate business needs into technical solutions
- Write code and build prototypes
Perks/Benefits
- 401k
- Dental insurance
- Health insurance
- Paid Holidays
- Paid time off
- Vision insurance
- Wellness programs
Skills/Tech-stack
API Security | Access Control | Agent systems | Apache Spark | Automated testing | BigQuery | CI/CD | Cassandra | Cloud platform | Databricks | Docker | Domain-Driven Design | ELK Stack | Elasticsearch | Encryption | Event Driven | Event-driven architecture | GRPC | GitHub Actions | Go | Google Cloud | Google Cloud Platform | Grafana | Infrastructure as Code | Java | Jenkins | Kafka | Knowledge graphs | Kubernetes | Language Models | Large Language Models | Microservices | Model Governance | MongoDB | Monitoring | Multi-Agent | Multi-Agent Systems | Oracle | Pinecone | PostgreSQL | Prometheus | Prompt engineering | Python | RAG | REST | Responsible AI | Secure Coding | Snowflake | Splunk | Spring Boot | Terraform | Vector Databases | Vertex AI | Zero Trust | “as-code”
Education
Regions
Countries
States
Cities
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