Associate Director, Applied AI Engineering-PxE Workplace Experience
Dallas, Texas, United States; Hermitage, Tennessee, United States; Jersey City, New Jersey, United States; Morristown, New Jersey, United States; New York, New York, United States
USD 130K-268K Mid-level Full Time
Tasks
- Build secure scalable reliable AI and agentic products
- Collaborate with product engineering and executives
- Define and drive engineering KPIs and NFRs
- Define applied AI reference architectures and standards
- Design and review system architecture and code
- Drive iterative value delivery and empirical methods
- Establish coding standards and quality benchmarks
- Identify technical risks and mitigation strategies
- Implement AI and agent SSDLC from discovery to production
- Lead engineering roadmap and execution
- Lead orchestration of AI agent workflows
- Manage inference token and cloud cost
- Map business capabilities to enterprise technology landscape
- Mentor and develop engineers and leaders
- Reduce tech debt and improve engineering velocity
- Set applied AI engineering vision
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Agent | AI agent orchestration | API Gateway | AWS | AWS Bedrock | Agent Orchestration | Angular | Artificial Intelligence | Azure | Azure OpenAI | Azure OpenAI Service | C Sharp | Cloud Native | ELT | ETL | Event Streaming | FaaS | FinOps | Full Stack | Full-Stack Development | GCP | Generative AI | GraphQL | Infrastructure as Code | Integration Testing | Java | JavaScript | LLM integration | Langchain | Langgraph | Machine Learning | Message Broker | Microservices | NoSQL | Node.js | OpenAI | OpenAI Service | PaaS | Prompt engineering | PyTorch | Python | RAG | REST API | React | SQL | Service Mesh | Software Architecture | Stack development | TensorFlow | TypeScript | Unit Testing | Vector Databases | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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