We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior Solutions Architect, GenAI (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Senior Solutions Architect, GenAI. in the . United States. .. In this role, you will lead the design and implementation of generative AI solutions on AWS for a variety of client projects. You will collaborate closely with clients, project managers, and engineering teams to translate business requirements into technical strategies, guiding teams to deliver innovative, high-impact AI applications. The role involves mentoring engineers, designing scalable architectures, and managing complex projects from conception through implementation. You will work in a fully remote, collaborative environment with opportunities to leverage the latest GenAI frameworks and cloud technologies. This position is ideal for experienced AI practitioners who thrive on problem-solving, innovation, and delivering tangible business outcomes.. . Accountabilities. As a Senior Solutions Architect, GenAI, you will:. . Design and lead the implementation of generative AI applications and solutions on AWS, including agent frameworks, vector data stores, Sagemaker Jumpstart, and Amazon Bedrock.. . Facilitate design sessions with clients and internal teams to define strategy, architecture, and implementation plans for GenAI projects.. . Build and maintain technical roadmaps in collaboration with other Solution Architects and Project Managers aligned with client goals.. . Translate technical solutions into clear, business-oriented language for clients.. . Oversee project execution, including Jira backlog management, task tracking, and ensuring timely, high-quality delivery.. . Serve as a technical liaison between clients and engineering teams, addressing escalations and mentoring junior engineers.. . Support pre-sales activities by contributing to solution design, project scoping, and technical proposal development.. . Document implemented solutions and participate in process improvement initiatives for GenAI projects.. . The ideal candidate will have:. . Proven experience designing and implementing generative AI and ML solutions using AWS tools and frameworks.. . Expertise in vector data stores, including database selection, configuration, and schema design.. . Strong Python programming skills and experience designing GenAI application architectures.. . Familiarity with data pipelines, unstructured/semi-structured data, and data lake environments.. . Experience with Infrastructure-as-Code tools such as Terraform, AWS CDK, or CloudFormation.. . Ability to lead projects, mentor team members, and collaborate across technical and business teams.. . Knowledge of application and data security, encryption, PII/PSI compliance, and identity/access management.. . Required certifications: AWS Certified AI Practitioner and AWS Solutions Architect – Associate (within 6 months of hire), plus an additional AWS Specialty or Professional Certification within 1 year.. . Preferred / Nice-to-Have:. . Experience architecting solutions using AWS ecosystem services such as VPC, IAM, EC2, and Lambda.. . Web development experience, including hosting web apps or using React.. . Familiarity with software development lifecycle tools, CI/CD pipelines, and version control with Git.. . Experience with containerization and dependency management strategies.. . . Company Location: United States.