Description

• Lead the end-to-end development of generative AI solutions that improve business functionalities and customer experiences
• 5years of hands-on experience in Gen Ai/Agentic Ai.
• Mentor and guide core team members and junior engineers on AI best practices and project execution
• Evaluate and innovate new AI technologies, models, and tools to optimize processes
• Collaborate with cross-functional teams, including business stakeholders, data scientists, and development groups, to align AI initiatives with organizational strategies
• Stay current with advancements in generative AI, agentic AI, and related emerging fields to maintain a competitive edge
• Manage project timelines and deliverables to ensure timely implementation of AI solutions
• Document technical designs, best practices, and project insights for ongoing knowledge sharing
  
   

Technical Skills (By Category)

 

• Programming Languages: Python (required), R, Java (preferred)
• AI Frameworks & Libraries: PyTorch, TensorFlow, GPT/Transformers, OpenAI API, Hugging Face (required)
• Data Management: Data preprocessing, management, and model training data pipelines
• Cloud Technologies: AWS, Azure, GCP (preferred)
• Model Deployment & APIs: REST API development, containerization with Docker, orchestration with Kubernetes
• Tools & Methodologies: Agile, CI/CD pipelines, Git version control, model versioning tools
• Security & Ethics: Data privacy, AI fairness, and compliance considerations
  
   

Experience Requirements

 

• At least 5-7 years of experience in software development and leading technology projects
• Proven track record of delivering AI solutions that enhance business operations
• Experience mentoring engineering teams in AI project execution
• Industry experience in banking, finance, or enterprise environments preferred
• Alternative experience: extensive innovation in AI, natural language processing, or digital transformation initiatives
  
   

Day-to-Day Activities

 

• Lead AI model development, training, and deployment activities
• Provide technical mentorship and oversee project execution phases
• Collaborate with cross-disciplinary teams to define AI project scope and success metrics
• Conduct research on cutting-edge AI techniques and incorporate them into organizational solutions
• Evaluate emerging AI tools and recommend improvements for efficiency and scalability
• Document processes, train stakeholders, and ensure ethical AI practices are followed
  
   

Qualifications

 

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
• Certifications in AI, machine learning, or cloud AI platforms are advantageous
• Continued professional development in emerging AI technologies and best practices

Key Skills

Education

Bachelor's or Master's degrees