Senior Solutions Architect, GenAI
Mission, a CDW Company · California, United States
- Hybrid
- Full-time
- $171,550 / year
- California, United States
Job highlights
- Design and implement GenAI applications on AWS.
- Lead GenAI engineering teams through project lifecycles.
- Collaborate with clients on strategy and roadmaps.
- Utilize AWS services like Bedrock and Sagemaker.
- Requires Python, AWS expertise, and certifications.
About the role
Senior Solutions Architect, GenAI
As a Senior GenAI Solutions Architect, you will work with clients to build Generative AI applications on AWS. You will engage with clients to understand their requirements, future state needs, current environment, and technical challenges. Your role will involve designing and proposing solutions, demonstrating how projects will achieve client goals. You will lead a team of GenAI Engineers to implement projects and develop cutting-edge solutions.
This position is 100% remote.
Responsibilities
- Design and lead teams through the implementation of GenAI applications and solutions on AWS, including the use of agent frameworks, vector data stores, Sagemaker Jumpstart, and Amazon Bedrock.
- Facilitate design sessions with clients and the Mission Cloud team to create strategy, architecture, and implementation plans for GenAI projects.
- Build and implement technical roadmaps in collaboration with other Solution Architects and Project Managers, aligning with customer goals and objectives.
- Communicate proposed solutions to clients, translating technical elements into business language to highlight benefits.
- Develop strategic roadmaps and project plans based on customer goals.
- Collaborate with GenAI Engineers and Architects to break down complex development plans into LOE estimates, design documents, and project plans.
- Oversee the implementation of customer roadmaps in coordination with GenAI Engineers, maintaining Jira backlogs and ensuring timely, high-quality project completion.
- Document customer technical solutions in alignment with Mission standards.
- Serve as the technical liaison between customers and engineering teams, communicating complex technical concepts clearly.
- Work with Project Managers to set customer expectations, drive alignment, and coordinate timelines.
- Support pre-sales engineers in proposal design and positioning, defining approaches to prospect technical challenges and assisting with project estimations.
- Act as an escalation point for high-level technical and client issues.
- Mentor GenAI Engineers and junior consultants.
- Support process improvement initiatives for GenAI projects.
- Participate in recruiting efforts by serving on interview panels.
Requirements
- Proven experience designing and implementing creative GenAI and ML solutions using the latest AWS tools and frameworks.
- 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 handling unstructured, semi-structured data in data lake environments.
- Experience with Infrastructure as Code (IaC) solutions like Terraform, AWS CDK, or CloudFormation.
- Ability to lead projects, train, and mentor junior team members.
- Ability to work with application and data security, encryption, PII/PSI legislation, and 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 solutions using the broader AWS ecosystem (VPC, IAM, EC2, Lambda).
- Web development experience, including designing and hosting web apps or working with React.
- Demonstrated knowledge of software development lifecycle tools and methodologies (version management with Git, CI/CD pipelines).
- Demonstrated experience with containerization and dependency management strategies.
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.
Key skills/competency
- Generative AI
- AWS
- Solutions Architecture
- Machine Learning
- Python
- Vector Databases
- Cloud Computing
- Project Leadership
- Technical Consulting
- Team Mentorship
Skills & topics
- Senior Solutions Architect
- GenAI
- Generative AI
- AWS
- Cloud Computing
- Machine Learning
- Python
- Vector Databases
- Solutions Architecture
- Technical Consulting
- Remote Jobs
- Amazon Bedrock
- SageMaker
How to get hired
- Tailor your resume: Highlight specific GenAI, AWS, and Python experience, quantifying achievements.
- Showcase AWS expertise: Emphasize relevant certifications and hands-on project experience with AWS services.
- Demonstrate leadership: Provide examples of leading technical teams and mentoring junior members.
- Prepare for technical interviews: Be ready to discuss GenAI architecture, vector databases, and ML concepts.
- Understand Mission Cloud: Research their AWS partnership and client success stories.
Technical preparation
Master Python for AI development.,Deepen AWS GenAI service knowledge.,Practice IaC tools like Terraform.,Design complex vector database solutions.
Behavioral questions
Describe leading a complex client project.,How do you translate technical to business terms?,Share an experience mentoring junior engineers.,How do you handle challenging client technical issues?
Frequently asked questions
- What are the key AWS certifications required for the Senior GenAI Solutions Architect role at Mission Cloud?
- For the Senior GenAI Solutions Architect position at Mission Cloud, you are required to obtain the AWS Certified AI Practitioner and AWS Solution Architect - Associate certifications within six months of hire. Additionally, an AWS Specialty or Professional Certification is required within one year of hire. These demonstrate a strong foundation in AWS and specialized AI/ML knowledge.
- How does Mission Cloud use AI in its hiring process for roles like Senior GenAI Solutions Architect?
- Mission Cloud leverages AI tools to streamline aspects of the hiring process for roles such as Senior GenAI Solutions Architect. This may include resume screening, interview scheduling, and administrative tasks. However, all final hiring decisions are made by human reviewers to ensure compliance and best practices.
- What specific GenAI technologies are emphasized for the Senior GenAI Solutions Architect role?
- The Senior GenAI Solutions Architect role heavily emphasizes working with Generative AI applications on AWS. This includes leveraging agent frameworks, vector data stores, Amazon SageMaker Jumpstart, and Amazon Bedrock. Experience with these specific technologies is crucial for success in this position.
- What Python experience is expected for this remote Senior GenAI Solutions Architect position?
- Strong Python experience is a core requirement for the Senior GenAI Solutions Architect role. This proficiency is essential for developing and implementing GenAI solutions, working with data pipelines, and potentially scripting infrastructure as code.
- Can I apply for the Senior GenAI Solutions Architect role at Mission Cloud if I'm not yet fully certified in AWS?
- Yes, you can apply for the Senior GenAI Solutions Architect role even if you are not yet fully certified. The job description states that required AWS certifications (AI Practitioner, Solutions Architect - Associate, and a specialty/professional cert) need to be obtained within specific timeframes after hiring, indicating a willingness to consider candidates with a strong foundation and potential.
- What is the compensation range for the Senior Solutions Architect, GenAI position at Mission Cloud?
- The estimated base salary range for the Senior Solutions Architect, GenAI position at Mission Cloud is between $125,000 and $171,550 annually. The final placement within this range depends on factors evaluated during the interview process, such as skills, knowledge, and overall suitability for the role.