AI Architect (RARR Job 6054)
Job Skills
Job Description
Key responsibilities include:
• Lead the design and development of AI native applications & AI agents using tools like Amazon Q, GitHub Copilot ,AWS, Augment Code, and other AI-assisted development tools.
• Deep expertise in Amazon Bedrock (Knowledge Bases, Agents, Guardrails), AWS , Amazon SageMaker for fine-tuning, and Amazon Q for developer productivity.
• Able to develop and scale “Developer Agents” for productivity in Coding, Autonomous Testing, Documentation & Deployment tasks.
• AI Agents and Agentic AI workflows using LangChain, LangGraph, and other leading platforms.
• Design and develop MCP servers to orchestrate multi-agent collaboration and task execution.
• Collaborate with business stakeholders and engineering teams to translate business requirements into scalable AI-powered solutions.
• Guide the team in integrating AI capabilities into business applications, ensuring performance, security, and maintainability.
• Mentor junior developers and foster a culture of innovation and continuous learning.
• Stay current with emerging trends in AI development, including newer LLM Context techniques and Agentic AI.
Nice to have:
• Experience with fine-tuning machine learning models using frameworks like TensorFlow, PyTorch, AutoTrain, ChromaDB, LoRA Weights.
• Experience with deploying AI applications & models in cloud environments (e.g., AWS, Azure, Github Actions, CI/CD) and optimizing their performance for production use.
• Researching and experimenting with different Generative AI techniques and incorporating them into solution offerings.
Requirements:
• Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
• 8 to 10 years of experience with a minimum of 2+ years of cumulative experience in the field, demonstrating a strong foundation in AI technologies.
• Experienced in architecting and developing enterprise grade applications.
• Strong proficiency in ReactJS, Node JS, Python and experience.
• Excellent problem-solving skills and ability to work effectively in a fast-paced environment.
Strong communication and teamwork skills, with the ability to collaborate effectively with business and cross-functional teams.
