Lead AI Developer
Tasks
- Articulate AI capabilities
- Assess emerging AI/ML technologies
- Build demos and proofs of value
- Collaborate with stakeholders
- Define AI and platform architecture
- Design innovative AI solutions
- Develop automation pipelines
- Drive AI adoption in automation
- Drive AI solutions for clients
- Ensure successful AI implementation
- Establish architectural standards
- Guide AI strategy and integration
- Identify high-impact use cases
- Lead AI enablement and capabilities
- Mentor engineering teams
- Optimize platform performance and costs
- Recommend technologies for ROI
- Support presales as AI SME
- Travel as needed
Perks/Benefits
Skills/Tech-stack
AI | AI architectures | AI ethics | AI frameworks | AI tools | AWS | Agentic AI | Agentic AI Frameworks | Algorithms | Automation workflows | Autonomous Systems | Azure | Cloud Migration | Conversational UX | CrewAI | Data Science | Data Structures | Deep learning | Distributed Systems | Full Stack | Full-stack prototyping | GCP | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Model Management | N8n | Natural Language | Natural Language Processing | Performance optimization | Prompt engineering | Pydantic | Real Time | Real-time monitoring | Scalable systems | Secure scalable systems | Software Design
Education
AI | Bachelor's | Data Science | Master's in Computer Science
Roles
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