Summary :
The Data Scientist AI Product Design and Architecture Lead is a pivotal role that combines AI / ML expertise, product design, and cloud-native architecture to build innovative, scalable, and user-centric AI solutions. The ideal candidate must have hands-on experience in AI / ML development and a strong background in architecting large-scale AI solutions using AWS cloud services .
This role requires expertise in Agentic Frameworks, LangChain, Retrieval-Augmented Generation (RAG), and Generative AI (GenAI) to drive the next generation of AI-powered products. The candidate will lead cross-functional teams, ensuring seamless AI integration into cloud-based microservices architectures while prioritizing usability, scalability, and performance .
Key Responsibilities :
1. AI Product Design & Architecture :
- Lead the design and implementation of AI-driven product features with a user-first approach .
- Architect cloud-native AI solutions leveraging AWS services such as SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, and Step Functions .
- Utilize Agentic Frameworks to build AI-powered automation and intelligent decision-making workflows .
- Implement LangChain and RAG techniques to enhance AI model knowledge retrieval and contextual reasoning.
- Define and maintain scalable, secure, and cost-effective AI architectures aligned with business goals.
2. AWS Cloud-Native AI & DevOps :
Design and deploy microservices-based AI applications on AWS with a focus on scalability, performance, and cost-efficiency .Implement CI / CD pipelines for AI / ML applications using AWS CodePipeline, CodeBuild, and CodeDeploy .Ensure infrastructure as code (IaC) with Terraform or AWS CloudFormation for automated provisioning.Monitor and optimize AI application performance using AWS CloudWatch, X-Ray, and Prometheus .Ensure security and compliance best practices in AI model deployment and data handling.3. User-Centric AI Experience & Innovation :
Champion human-AI interaction principles to ensure AI-driven features enhance usability and engagement.Leverage user research and behavioral analytics to design AI interfaces that are intuitive and accessible.Continuously iterate on AI-driven experiences based on user feedback, A / B testing, and performance analytics .4. Cross-Functional Collaboration :
Partner with product managers, engineers, and data scientists to drive AI innovation.Effectively communicate technical trade-offs and AI design decisions to non-technical stakeholders.Promote collaboration between AI, UX, and DevOps teams to ensure seamless AI product development.5. AI Thought Leadership & Strategy :
Stay ahead of AI and cloud computing advancements , incorporating emerging GenAI and AWS AI services into the product roadmap.Mentor and guide junior engineers, fostering AI / ML best practices across teams.Represent the organization in industry discussions, AI communities, and conferences .Qualifications & Skills :
Required :
7 years of experience in AI / ML development, cloud architecture, and AI product design.Expertise in Agentic Frameworks, LangChain, Retrieval-Augmented Generation (RAG), and Generative AI (GenAI) .Strong hands-on experience with AWS AI / ML services , including SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, Step Functions, and S3 .Experience architecting cloud-native AI solutions with AWS microservices, Kubernetes (EKS), and serverless computing .Proficiency in AWS DevOps tools , including CodePipeline, CodeBuild, CodeDeploy, Terraform, and CloudFormation .Strong background in microservices architecture, event-driven design, and scalable AI / ML pipelines .Experience with data visualization, AI-powered storytelling, and explainable AI (XAI) .Excellent problem-solving, communication, and cross-functional leadership skills .Preferred :
AWS certifications (AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or AWS AI / ML certifications).Experience in building autonomous AI agents and knowledge-driven AI systems.Prior experience in optimizing AI model inference and deployment at scale
