AI Architect

What You Will Do:

• Lead the design and development of AI-driven applications, particularly focusing on RAGbased chatbot solutions.

• Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and

maintainability.

• Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing

performance and resource utilization.

• Collaborate closely with cross-functional teams to understand requirements, define

project scopes, and deliver solutions effectively.

• Mentor team members, providing guidance on best practices in software development, AI

methodologies, and cloud deployments.

• Ensure solutions meet quality standards, including thorough testing, debugging,

performance tuning, and documentation.

• Continuously research emerging AI technologies and methodologies to incorporate best

practices and innovation into our products.

Required Skills & Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, Data Science,

Mathematics, Statistics or related fields.

• At least 5 years of professional experience in AI/Machine Learning engineering.

• Strong programming skills in Python and Java.

• Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-

based chatbots or similar generative AI applications.

• Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda,

SageMaker, DynamoDB, CloudWatch, and API Gateway.

• Solid understanding of AI methodologies, including natural language processing (NLP),

vector databases, embedding models, and large language model integrations.

• Experience with leading projects or teams, managing technical deliverables, and ensuring

high-quality outcomes.

Preferred Qualifications:

• AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty).

• Familiarity with popular AI/ML frameworks and libraries such as Hugging Face

Transformers, TensorFlow, PyTorch, LangChain, or similar.

• Experience in Agile development methodologies.

• Excellent communication skills, capable of conveying complex technical concepts clearly

and effectively.

• Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous

technical challenge