We are seeking a highly experiencedwith deep expertise in,, and. In this role, you will take complete ownership of, embedding AI capabilities, and guidingjunior architectsto deliver innovative, future-ready solutions.
You will serve as the technical thought leader for, ensuring alignment with business objectives, compliance standards, and emerging technology trends.
How will you make an impact?
- Own and drive end-to-end architecture for AI-powered enterprise applications hosted on AWS.
- Design scalable, secure, and maintainable systems using AWS services such as EC2, Lambda, S3, RDS, DynamoDB, API Gateway, SageMaker, Bedrock, Step Functions, and CloudFormation .
- Integrate AI/ML models (LLMs, NLP, predictive analytics) using AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition, Lex).
- Conduct architectural reviews to ensure AWS best practices, Well-Architected Framework compliance, and cost optimization.
AI & Cloud Solution Expertise
- Architect and implement AI-driven features within cloud-native applications.
- Establish MLOps pipelines for model training, deployment, and monitoring on AWS.
- Ensure AI solutions are explainable, ethical, and compliant with enterprise and regulatory guidelines.
Mentorship & Collaboration
- Coach and mentor junior architects in AWS services, AI integration patterns, and architectural design principles.
- Lead cross-functional design sessions and knowledge-sharing workshops.
- Provide technical guidance for resolving complex AWS and AI-related design challenges.
Strategic Planning
- Partner with stakeholders to define technology roadmaps combining AI innovations and AWS capabilities.
- Conduct POCs to validate AI models, AWS services, and architectural patterns.
- Drive cloud migration strategies and modernization initiatives.
Have you got what it takes?
- Experience: 13–15 years in software/application architecture, with at least 3–5 years in AI/ML and AWS cloud design.
- Strong expertise in AWS cloud services , architecture patterns, and Well-Architected Framework principles.
- Proficiency in AI frameworks (TensorFlow, PyTorch, Hugging Face, LangChain) and AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition, Lex).
- Hands-on experience with microservices, serverless computing, event-driven architecture, and API design .
- Skilled in MLOps, data engineering, and model deployment pipelines .
- Excellent mentoring skills with the ability to develop the capabilities of junior architects.
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
Key Attributes
- Visionary leader with the ability to blend AI innovation, AWS capabilities, and enterprise needs .
- Strong ownership mindset with accountability for solution success.
- Excellent communicator, capable of influencing technical and business stakeholders.
- Advocate for AWS best practices, AI ethics, and cost-efficient cloud adoption .
8379Director, Engineering, CX
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