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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 cutting-edge 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, a .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.