AI Architect

Role Overview We’re looking for a hands-on Gen AI Architect with deep expertise in AWS Bedrock Agents and RAG chatbots to lead our AI development team in India. This is an opportunity to be among the first technical leaders at ncyclo.ai, contributing to our growth into a billion-dollar company. Key Responsibilities Solution Architecture Architect and implement AWS Bedrock Agent-based solutions, including agent orchestration, multi-turn interactions, and secure enterprise integration. Design and build RAG chatbots leveraging AWS Bedrock, LangChain, and vector stores for high-quality, contextual responses. Hands-on Development Develop production-ready Gen AI solutions, including prompt engineering, agent workflows, retrieval pipelines, and LLM-based generative components. Implement AWS-native solutions integrating Bedrock, Lambda, API Gateway, DynamoDB, S3, and related services. Classic ML Expertise Design and deploy classic ML models using AWS SageMaker. Build and manage ML pipelines with proper data preprocessing, model training, evaluation, and deployment. Technical Leadership Lead a team of AI engineers and data scientists, driving technical excellence in Gen AI and ML delivery. Define and enforce MLOps, CI/CD, and model governance frameworks for secure and scalable deployments. Client Engagement Collaborate with US and global clients to understand business requirements and translate them into technical architectures and actionable plans. Support pre-sales activities, including solution demos, technical proposals, and effort estimation. Required Qualifications Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Experience: 5+ years of AI/ML experience, with at least 2+ years in Generative AI. Proven expertise in AWS Bedrock Agents—designing and deploying production-grade agent-based solutions. Hands-on experience with RAG architectures, vector databases, embeddings, LangChain, and retrieval pipelines. Strong background in classic ML. Skills: Proficiency in Python (PyTorch/TensorFlow, scikit-learn). Expertise in prompt engineering, vector databases (e.g., Pinecone, FAISS, AWS OpenSearch), and embeddings. Deep knowledge of AWS services (SageMaker, Lambda, API Gateway, DynamoDB, S3, IAM, CloudFormation). Soft Skills: Strong communication skills for client engagement. Leadership and mentoring experience. Self-starter with a collaborative, problem-solving mindset. Preferred Qualifications AWS Certifications (e.g., AWS Certified Machine Learning – Specialty, AWS Solutions Architect). Experience with MLOps frameworks and CI/CD pipelines on AWS. Knowledge of multi-tenant AI architectures and secure AWS deployments. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Health insurance Leave encashment Provident Fund Schedule: Day shift Work Location: On the road