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AI Innovation Lead
3 weeks ago
This is a challenging and dynamic leadership role that requires a seasoned professional with expertise in Generative AI, RAG, Langgraph, Agentic AI, NLP, and Client Handling.
The ideal candidate will be responsible for developing strategic solutions, collaborating with cross-functional teams, and identifying business opportunities. They will also lead the development of AI-based application development strategies, manage high-performing teams, and foster a culture of innovation and teamwork.
About the Role- We are seeking an experienced Senior Generative AI Manager to lead our team of experts in driving business growth and innovation through the development and implementation of AI-based application development strategies.
- The successful candidate will have a proven track record of managing high-performing teams, developing strategic solutions, and collaborating with cross-functional teams to identify and prioritize business opportunities.
- Develop and implement AI-based application development strategies to drive business growth and innovation.
- Lead Python programming and related framework projects (e.g., Django, Flask) to develop scalable and robust applications.
- Mentor junior developers in AI-based application development using Python.
- Design and execute data engineering principles and technologies (e.g., ETL, data pipelines, data warehousing) to support business outcomes.
- Apply AI and ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch) to drive business outcomes.
- Guide cloud platform (e.g., AWS, Azure, GCP) and AI/ML service adoption to improve efficiency and effectiveness.
- Architect database systems (e.g., SQL, NoSQL) and data modeling solutions to support business needs.
- Manage RFP/Pre-sales efforts to secure new business opportunities.
- Foster a culture of innovation, continuous learning, and teamwork among team members.
- Minimum 5 years of experience in leading high-performing teams in AI-based application development.
- Proven track record of developing strategic solutions and collaborating with cross-functional teams.
- Expertise in Generative AI, RAG, Langgraph, Agentic AI, NLP, and Client Handling.
- Strong understanding of AI and ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and AI/ML services.
- Ability to design and execute data engineering principles and technologies (e.g., ETL, data pipelines, data warehousing).
- Strong communication and leadership skills.