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Designs and implements AWS cloud architectures integrating modernization, data engineering, generative AI, and machine learning. Leads client architecture sessions, presales engagements, cloud migrations, data pipeline and lakehouse development, governance, security, and multi-region deployments. Advises clients on scalable, secure, cost-optimized solutions while collaborating with sales and delivery teams. Requires extensive AWS experience, AI/ML and data architecture expertise, infrastructure-as-code proficiency, and strong customer-facing skills.

Designs and implements scalable AWS cloud architectures focused on modernization, data engineering, generative AI, and machine learning. Leads client architecture sessions, presales engagements, cloud migrations, governance initiatives, and multi-region deployments. Develops AI/ML solutions using AWS services, designs data pipelines and lakes, modernizes legacy applications with containers and serverless technologies, and advises clients on security, compliance, cost optimization, and Well-Architected practices.

Generate and qualify outbound B2B leads for AWS cloud services through cold calls, email, and LinkedIn; nurture MQLs, schedule meetings with Account Executives, track leads in Pipedrive, and meet monthly quotas.

Conduct outbound prospecting and qualify MQLs via calls, email, and LinkedIn; schedule meetings with Account Executives; manage leads in Pipedrive; build relationships with prospects and AWS contacts; meet monthly quotas and daily outbound targets; obtain AWS Cloud Practitioner certification within first 30 days.

Drive new revenue by co-selling with AWS teams to identify, qualify, and close cloud and managed services opportunities. Build relationships with AWS sellers and customers, scope complex engagements with solutions architects, maintain pipeline and forecasts, represent Cloudelligent at AWS and customer meetings, and ensure smooth handoffs to delivery for long-term customer success.

Generate and qualify outbound B2B leads for AWS cloud services via calls, emails, and LinkedIn; manage leads in Pipedrive; book meetings for Account Executives; meet monthly quotas; maintain AWS relationships and nurture interested prospects.

Generate and qualify outbound B2B leads for AWS cloud services via cold calling, email, and LinkedIn. Nurture MQLs, book meetings with Account Executives, track activity in Pipedrive, maintain AWS relationships, meet quotas, and obtain AWS Cloud Practitioner certification within 30 days.

Drive new revenue by co-selling with AWS teams: identify, qualify, and close cloud and managed-services opportunities; build AWS seller and customer relationships; scope engagements with solutions architects; maintain pipeline and forecasts; represent Cloudelligent in AWS and customer meetings; ensure smooth handoff to delivery for long-term success.