Bengaluru Karnataka India Job Type Full Time About the Role Key Responsibilities 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 Required Skills Qualifications Technical Experience o 8-10 years of hands-on solutions architecture experience with significant focus on AI ML cloud-native architectures and deployments o Deep expertise in core AWS services S3 Redshift SageMaker Bedrock Lambda IAM and associated AI services Comprehend Rekognition Lex Polly Textract o Proven experience architecting data lakes ETL pipelines and managing data engineering workflows AWS S3 Redshift Databricks o Proficiency in advanced Python programming Jupyter Notebooks and machine learning libraries such as scikit-learn TensorFlow and PyTorch o Experience designing and deploying scalable ML models and pipelines with strong knowledge of MLOps best practices including automation containerization and deployment o Expertise with Databricks architecture and integration within ML and AI ecosystems o Solid understanding of Kubernetes for container orchestration and infrastructure automation using Terraform or CloudFormation o Familiarity with conversational AI agentic AI platforms and Generative AI workflows including LLMs and Bedrock o Skilled in API design system integration and security best practices governing data privacy and compliance o Strong business acumen with the ability to translate technical solutions into business value and prioritize use cases accordingly o Experience leading technical teams and cross-functional collaboration to drive AI projects from concept through deployment o Excellent communication skills and stakeholder management capabilities in Agile environments Consulting Experience o Proven track record in an IT consulting environment engaging with large enterprises and MNCs in strategic data solutioning projects o Strong stakeholder management business needs assessment and change management skills Leadership Soft Skills o Experience managing and mentoring small teams developing technical skills AI Advanced Analytics domains o Ability to influence and align cross-functional teams and stakeholders o Excellent communication documentation and presentation skills o Strong problem-solving analytical thinking and strategic vision Educational Qualifications o Bachelor s or Master s degree in Computer Science Engineering Data Science or a related quantitative field Preferred Certifications o AWS Certified Solutions Architect - Professional o AWS Certified Machine Learning - Specialty o Certified Kubernetes Administrator CKA or equivalent o Terraform Associate or equivalent Infrastructure as Code certifications o Certified Artificial Intelligence Practitioner CAIP or similar AI certifications o Relevant RPA certifications UiPath Blue Prism a plus Requirements Key ResponsibilitiesArchitect 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 Required Skills QualificationsTechnical Experience 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 robust 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 Consulting Experience Proven track record in an IT consulting environment engaging with large enterprises and MNCs in strategic data solutioning projects Strong stakeholder management business needs assessment and change management skills Leadership Soft Skills Experience managing and mentoring small teams developing technical skills AI Advanced Analytics domains Ability to influence and align cross-functional teams and stakeholders Excellent communication documentation and presentation skills Strong problem-solving analytical thinking and strategic vision 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 About the Company Cigres Technologies Private Limited is a technology consulting and services company that focuses on helping clients resolve their significant digital problems and enabling radical digital transformation using multiple technologies on premise or in the cloud The company was founded with the goal of leveraging cutting-edge technology to deliver innovative solutions to clients across various industries

📌 Ai Solution Architect (Karnataka)
🏢 Cigres Technologies
📍 Karnataka