AWS Solution Architect

Job description

The AWS Solutions Architect directly supports the success of our Sales team through our

Partnership program, leading technical presales engagements with a focus on Application

Modernization, Cloud-Native Development, and Generative AI. This role involves designing

AWS-powered solutions for new and existing customer engagements, collaborating closely with Sales and AWS stakeholders to drive professional services growth and AWS consumption.

Key Responsibilities

AWS GTM & Sales Enablement

• Supporting Sales with Technical Expertise to drive AWS Pipeline and Achieve Revenue Targets.
• Architecture and design of holistic AWS solutions with alignment to business outcomes. Specify the deliverables of services and implementation projects by writing the statements of work (SOW).
• Enable sales teams to drive AWS adoption, aligning with AWS co-selling initiatives, Partner Funding Programs, and opportunity generation.
• Collaborate with AWS stakeholders to optimize funding strategies for projects.
• Own content and lead technical client workshops focused on modern cloud architectures and AI adoption.
• Maintenance of a clean, accurate and sufficient pipeline in the CRM system
• Collaborate with the service delivery teams to ensure the services are delivered as specified in your Statements of Work and as required to meet customer business outcome objectives.

Technical Leadership & Mentorship

• Guide engineers and architects on best practices for cloud-native development, AI model deployment, and infrastructure modernization.
• Provide strategic direction for AWS-based application development, ensuring alignment with customer business objectives.
• Define success metrics for AWS implementations, optimizing cost-efficiency, security, and scalability.

Technical Expertise

• Application Modernization & Cloud-Native Development
  • Architect serverless and microservices-based solutions using AWS Lambda, Amazon ECS/EKS, and API Gateway.
  • Lead monolithic-to-microservices refactoring and cloud migration strategies.
  • Design scalable, resilient architectures utilizing AWS Well-Architected Framework and AI-enhanced modernization workflows.
• Generative AI & Machine Learning Solutions
  • Architect cloud-native AI-powered applications utilizing AWS Bedrock, SageMaker, AI inference optimization, and vector databases.
  • Build LLM-powered workflows leveraging retrieval-augmented generation (RAG) and fine-tuned AI models.
  • Automate business processes with AI-driven solutions for data extraction, customer interaction, and operational efficiency.
• Transitional AWS Services & Migration Strategies
• Define hybrid cloud and multi-cloud strategies using AWS Control Tower, AWS Landing Zone, and VPC networking.
• Lead legacy-to-cloud transitions, utilizing AWS Migration Hub, AWS Database Migration Service (DMS), and AWS App2Container.
• Support enterprise-wide transformation initiatives, ensuring smooth integrations with AWS infrastructure.