Senior Director, AI Solutions
Tasks
- Architect model training and fine tuning pipelines
- Build retrieval-augmented generation pipelines
- Deploy LLM powered copilots and copilots workflows
- Design agentic AI systems with tool usage
- Design generative AI and machine learning solutions
- Develop predictive models
- Establish CI/CD best practices
- Implement observability for AI systems
- Implement real-time and batch inference systems
- Integrate AI into CRM and customer workflows
- Integrate vector databases
- Lead and grow ML engineers ML scientists and AI architects
- Lead cross functional delivery with engineering data product sales and customer success
- Manage prompts tools policies and agent lifecycle
- Orchestrate agent workflows across enterprise platforms
- Own AI system lifecycle from data to monitoring
- Partner with sales to embed AI in deal strategy
- Run experimentation and model evaluation
- Translate AI capabilities into revenue retention and efficiency metrics
Perks/Benefits
- Disability insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Retirement plan
Skills/Tech-stack
AWS | Agentic AI | CI/CD | CRM | Cloud platform | Distributed Systems | Enterprise Architecture | Experimentation | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Hugging Face | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Model Evaluation | Model Training | Observability | Prompt engineering | PyTorch | Retrieval-Augmented Generation | Salesforce | TensorFlow | Vector Databases | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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