AI Lead Engineer AWS Solutions Architect, AWS Machine Learning

AI Lead Engineer AWS Solutions Architect, AWS Machine Learning Specialty).
Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or simila

About the Role

We are seeking an experienced AI Lead Engineer to lead innovation in AI-driven solutions with global impact. This role demands strong expertise in Python and Java, deep experience in Retrieval-Augmented Generation (RAG)-based chatbot development, and proficiency in deploying AI applications on AWS.

As the AI Lead Engineer, you will own the end-to-end development lifecycle from architecture to deployment while mentoring the team, ensuring technical excellence, and delivering scalable AI products.

What You Will Do

• Lead the design and development of AI-driven applications, focusing on RAG-based chatbot solutions
• Architect robust solutions in Python and Java ensuring scalability, reliability, and maintainability
• Deploy, manage, and scale AI applications on AWS using EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway
• Collaborate with cross-functional teams to define requirements, project scopes, and delivery timelines
• Mentor and guide team members on AI methodologies, best coding practices, and cloud deployments
• Conduct thorough testing, debugging, performance tuning, and documentation to ensure high-quality delivery
• Stay updated on emerging AI technologies and recommend innovative solutions for business problems

What You Will Bring

Education:

• Bachelors or Masters degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or related fields

Experience:

• 5+ years of professional experience in AI/Machine Learning engineering
• Proven hands-on experience building RAG-based chatbots or generative AI applications
• Strong programming skills in Python and Java
• Proficiency in AWS (EC2, Lambda, SageMaker, DynamoDB, CloudWatch, API Gateway)
• Solid understanding of NLP, vector databases, embedding models, and large language model integrations
• Experience leading projects or teams and ensuring technical deliverables meet quality standards