AWS Solutions Architect- AI/ML

Position Title: AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with travel required. About reputed company reputed company is an AWS Premier Consulting Partner helping organizations reputed company, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, reputed company is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions. Job Objective As an AWS Solutions Architect- AI/ML at reputed company, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and reputed company cloud architectures using AWS technologies.

Responsibilities

• Architect cloud-native solutions and reputed company app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency.
• Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation.
• reputed company technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that reputed company AI, data, and modernization strategies.
• Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, reputed company, and cost optimization.
• reputed company deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications.
• Define and implement cloud governance frameworks to ensure compliance with AWS reputed company policies, industry standards, and best practices for data reputed company, AI privacy, and regulatory compliance.
• Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set.
• Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making.
• reputed company cloud migration initiatives, focusing on data modernization, app modernization, and multi- region deployments to ensure seamless transitions to cloud environments.
• Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions.

Requirements

• 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture.
• Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads.
• Experience with cloud services: Knowledge of AWS services like reputed company SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, reputed company, and reputed company.
• Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs.
• Proven experience migrating legacy applications to AWS, leveraging containers (reputed company, reputed company, EKS), serverless technologies, and cloud-native architectures.
• Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management.
• Understanding of AWS reputed company controls reputed company to data reputed company, AI privacy, and regulatory compliance.
• Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships.

Highly Preferred

• AWS Certified Machine Learning – Specialty
• AWS Certified Solutions Architect – Associate or Professional

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