AWS Solutions Architect- AI / ML

AWS Solutions Architect – AI / ML

Employment Time : Full-Time

Job Timings : 8am-5pm CST (Central Time, US)

Location : Remote, India

About Cloudelligent

Cloudelligent is a Cloud‑native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to the Startups, SMB & enterprise segment. Being a next‑gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer‑obsessed.

Job Objective

As an AWS Solutions Architect‑ AI / ML at Cloudelligent, 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 develop cloud architectures using AWS technologies.

Responsibilities

• Architect cloud-native solutions and lead 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.
• Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage 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, security, and cost optimization.
• Lead 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 security policies, industry standards, and best practices for data security, 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.
• Lead 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

Highly Preferred

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