Responsibilities

• Design and lead team through implementation of GenAI applications and solutions on AWS, including use of agent frameworks, vector data stores, Sagemaker Jumpstart and Amazon Bedrock 
• Facilitate design sessions with clients and Mission Cloud team to create the strategy, architecture, and implementation plan for GenAI projects
• Build and implement technical roadmaps in collaboration with other Solution Architects and Project Managers that are in alignment with customer goals and objectives
• Communicate the proposed solution to clients so they understand the benefits, translating the technical elements into business language
• Develop strategic roadmaps and project plans based on customer goals
• Work with GenAI Engineers and Architects to break down complex development plans into LOE estimates, design documents and project plans
• Implementation of customer roadmaps in coordination with GenAI Engineers; build and maintain Jira backlog, and ensure project tasks are completed on time, high quality, and progress toward the project goals
• Document customer technical solutions that have been implemented in alignment with Mission standards
• Be the technical liaison between customers and engineering teams; communicate complex technical concepts in easy-to-understand non-technical language
• Work with Project Managers to set customer expectations, drive alignment, and coordinate timelines
• Support pre-sales engineers in proposal design and positioning, including helping define an approach to solving a prospect’s technical challenges and helping the business development team estimate and plan projects
• Be an escalation point for high-level technical and client issues
• Mentor GenAI Engineers and more junior consultants
• Support process improvement initiatives for GenAI projects
• Support recruiting efforts by participating on interview panels

Requirements

• Proven experience designing and implementing creative GenAI and ML solutions leveraging the latest tools and frameworks, especially from AWS
• Experience designing vector data store solutions including database selection, configuration and schema setup
• Strong python experience 
• Experience with GenAI application architecture design 
• Experience working with data pipelines, and demonstrated ability to handle unstructured, semi-structured data, working in a data lake environments
• Experience with IAC solutions such as Terraform, AWS CDK or CloudFormation
• Ability to lead projects, train, and mentor more junior team members 
• Ability to work with implementation of application and data security, encryption, PII/PSI legislation, identity and access management across environments
• AWS Certified AI Practitioner Certification (required within 6 months of hire)
• AWS Solution Architect - Associate Certification (required within 6 months of hire)
• Additional AWS Specialty or Professional Certification (required within 1 year of hire)

• Ability to architect a solution using the broader AWS ecosystem including VPC, IAM EC2, and Lambda functions
• Web development experience, especially in designing and hosting web apps or working with React 
• Demonstrated knowledge of software development lifecycle tools and methodologies including version management with git and CI/CD pipelines and tooling 
• Demonstrated experience with containerization and dependency management strategies