Senior AWS GenAI Solutions Architect

Strive Solutions; Clinton (MD); On-site; USD 140,000 - 180,000; Full time

Job summary

Strive Solutions is seeking a Senior AWS Generative AI Solution Engineer to architect and deliver secure, scalable generative AI/LLM solutions on AWS for government and commercial clients. Translate mission requirements into robust, compliant architectures with a focus on data protection and performance.

Collaborate with cross-functional teams to map needs to technical solutions, mentor engineers, and contribute to engineering best practices and innovation.

Qualifications

• Proven experience building generative AI/LLM solutions on AWS.
• Expertise with AWS AI services and deployment on Lambda and containers.
• Strong understanding of secure system design, data protection, and performance optimization.
• Ability to communicate complex technical concepts and drive cross-team collaboration.
• Technical leadership and mentoring experience.

Responsibilities

• Design and implement generative AI and LLM-based systems using AWS services such as SageMaker, Bedrock, Lambda, and containerized workloads.
• Collaborate with cross-functional teams to map mission needs to technical solutions and requirements.
• Ensure strong data protection, compliance, and reliability in production environments.
• Develop reusable reference architectures and patterns to accelerate delivery.
• Support technical proposals with solution design, feasibility input, and technical guidance.
• Mentor engineers and contribute to engineering best practices and innovation efforts.

Skills

Generative AI on AWS

AWS AI services

Secure design

Data protection

Performance optimization

Cross-team collaboration

Technical leadership

Tools

AWS SageMaker

AWS Bedrock

AWS Lambda

Containers

Job description

Strive Solutions is seeking a Senior AWS Generative AI Solution Engineer to architect and deliver secure, scalable generative AI/LLM solutions on AWS for government and commercial clients. Translate mission requirements into robust, compliant architectures with a focus on data protection and performance.

Collaborate with cross-functional teams to map needs to technical solutions, mentor engineers, and contribute to engineering best practices and innovation.