As a Senior GenAI Solutions Architect, you will lead the design and implementation of generative AI applications on AWS, collaborating with clients to understand their needs and guiding project execution with a team of engineers.
As a Senior GenAI Solutions Architect you will work with clients to build Generative AI applications on AWS. You will work with clients to understand their requirements and future state needs as well as their current environment and technical challenges. You will design and propose solutions, helping clients understand how the project will accomplish their goals. You will lead a team of GenAI Engineers to implement projects, and build cutting-edge solutions.
This position is 100% remote.
- 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
- 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)
Nice to haves:
- 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
Placement within the range is determined by a variety of factors, including but not limited to knowledge, skills, and ability as evaluated during the interview process. The compensation range for the base salary of this role is: $125,000 - $171,550.
Use of Artificial Intelligence (AI)
Our company leverages Artificial Intelligence (AI) as a tool to enhance and streamline various aspects of the hiring process. By submitting your application, you acknowledge and consent to the use of AI technologies in activities such as resume screening, interview scheduling, note taking and other administrative functions. Please note that all hiring decisions are made by human reviewers in compliance with applicable laws and best practices.
About Mission Cloud
Mission Cloud is an Amazon Web Services (AWS) Premier Consulting Partner and MSP. Clients depend on us to expertly and securely architect, migrate, manage, and optimize their cloud environments.
Mission Cloud’s team of AWS Certified Solutions Architects and DevOps Engineers are ready to help you harness the full power of the AWS cloud to transform your business and operations.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
