What will you do Architect end-to-end AI ML deployment solutions focusing on AWS services such as S3 Redshift SageMaker Bedrock Lambda and IAM ensuring best practices in security compliance and scalability Design and integrate data lakes structured databases and ML pipelines leveraging Databricks architecture for smooth data processing and AI workload orchestration Lead solution design and orchestration for RPA and GenAI systems incorporating conversational and agentic AI platforms like Copilot Studio Agentforce and Sierra Drive architectural decisions review technical approaches and provide leadership to development teams on experimentation prototyping and solution delivery Manage model development deployment and lifecycle on platforms such as SageMaker and Bedrock implementing MLOps best practices Implement end-to-end automation of ML pipelines with SageMaker and Databricks workflows integrating models into scalable cloud-native services Utilize Kubernetes and container orchestration for scalable AI deployment alongside infrastructure as code tools such as Terraform and CloudFormation Establish advanced monitoring logging and performance optimization for AI workloads promoting high availability and reliability Collaborate with business stakeholders to prioritize AI use cases and ensure architectural alignment with strategic objectives Oversee data ingestion transformation and governance workflows to maintain data privacy quality and accessibility for AI and RPA workloads Define and implement CI CD pipelines tailored for AI ML deployments ensuring seamless and automated delivery cycles Stay current on emerging AI technologies especially in Generative AI and LLM domains and drive integration of innovative solutions with existing platforms What skills and capabilities will make you successful 8-10 years of hands-on solutions architecture experience with significant focus on AI ML cloud-native architectures and deployments Deep expertise in core AWS services S3 Redshift SageMaker Bedrock Lambda IAM and associated AI services Comprehend Rekognition Lex Polly Textract Proven experience architecting data lakes ETL pipelines and managing data engineering workflows AWS S3 Redshift Databricks Proficiency in advanced Python programming Jupyter Notebooks and machine learning libraries such as scikit-learn TensorFlow and PyTorch Experience designing and deploying scalable ML models and pipelines with strong knowledge of MLOps best practices including automation containerization and deployment Expertise with Databricks architecture and integration within ML and AI ecosystems Solid understanding of Kubernetes for container orchestration and infrastructure automation using Terraform or CloudFormation Familiarity with conversational AI agentic AI platforms and Generative AI workflows including LLMs and Bedrock Skilled in API design system integration and security best practices governing data privacy and compliance Strong business acumen with the ability to translate technical solutions into business value and prioritize use cases accordingly Experience leading technical teams and cross-functional collaboration to drive AI projects from concept through deployment Excellent communication skills and stakeholder management capabilities in Agile environments Qualifications What qualifications will make you successful for this role Educational Qualifications - Bachelor s or Master s degree in Computer Science Engineering Data Science or a related quantitative field Preferred Certifications - AWS Certified Solutions Architect - Professional - AWS Certified Machine Learning - Specialty - Certified Kubernetes Administrator CKA or equivalent - Terraform Associate or equivalent Infrastructure as Code certifications - Certified Artificial Intelligence Practitioner CAIP or similar AI certifications - Relevant RPA certifications UiPath Blue Prism a plus Let us learn about you Apply today You must submit an online application to be considered for any position with us This position will be posted until filled About Our Company Looking to make an IMPACT with your career When you are thinking about joining a recent team culture matters At Schneider Electric our values and behaviors are the foundation for creating a great culture to support business success We believe that our IMPACT values - Inclusion Mastery Purpose Action Curiosity Teamwork - starts with us IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions no matter what role you play It is a call to connect your career with the ambition of achieving a more resilient efficient and sustainable world We are looking for IMPACT Makers exceptional people who turn sustainability ambitions into actions at the intersection of automation electrification and digitization We celebrate IMPACT Makers and believe everyone has the potential to be one Become an IMPACT Maker with Schneider Electric - apply today EUR36 billion global revenue 13 organic growth 150 000 employees in 100 countries 1 on the Global 100 World s most sustainable corporations You must submit an online application to be considered for any position with us This position will be posted until filled Schneider Electric aspires to be the most inclusive and caring company in the world by providing equitable opportunities to everyone everywhere and ensuring all employees feel uniquely valued and safe to contribute their best We mirror the diversity of the communities in which we operate and inclusion is one of our core values We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do At Schneider Electric we uphold the highest standards of ethics and compliance and we believe that trust is a foundational value Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics safety sustainability quality and cybersecurity underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer It is our policy to provide equal employment and advancement opportunities in the areas of recruiting hiring training transferring and promoting all qualified individuals regardless of race religion color gender disability national origin ancestry age military status sexual orientation marital status or any other legally protected characteristic or conduct

📌 Ai Solution Architect - Principal (Karnataka)
🏢 Schneider Electric
📍 Karnataka