What are the responsibilities and job description for the Senior Solution Architect position at Dynamo AI?
At Dynamo AI, the Senior Solution Architect plays a critical role in driving successful customer adoption. You will lead the end-to-end onboarding of Dynamo AI solutions into customer environments — from initial requirements gathering and architecture design to deployment, troubleshooting, and ongoing upgrades.
This is a hands-on, customer-facing role that requires strong technical expertise and exceptional collaboration skills. You’ll work closely with company leadership, product managers, and engineering/ML teams to ensure our solutions are secure, scalable, and aligned with customer needs. Your deep knowledge of Kubernetes, cloud platforms, networking, security, and production-grade systems will be essential in delivering robust and reliable deployments.
\n- Collaborate with customers to understand their architecture, constraints, and goals.
- Design integration architectures for running Dynamo AI securely in customer Kubernetes clusters (EKS, AKS, GKE, on-prem).
- Guide customers through deployment, configuration, and scaling of the platform.
- Work with internal teams to translate customer needs into product features.
- Develop architecture diagrams, deployment templates, and technical documentation.
- Act as a technical advisor during pre-sales conversations and POCs.
- Participate in customer onboarding, training, and solution validation.
- Provide feedback to engineering teams on deployment patterns, platform gaps, and customer requests.
- 5 years experience in solution architecture, DevOps, or cloud engineering roles.
- 2 years experience directly working with customers.
- Great expertise of Kubernetes, Helm, and containerized application delivery.
- Hands-on experience with AWS, Azure, or GCP, and hybrid/cloud-native deployment models.
- Familiarity with authentication/authorization systems (e.g., Keycloak) and network security.
- Strong communication skills with the ability to lead customer discussions and deployment.
- Comfort navigating between technical and business audiences.
- Experience supporting AI/ML infrastructure or ML lifecycle tools is a plus.
Dynamo AI is committed to maintaining compliance with all applicable local and state laws regarding job listings and salary transparency. This includes adhering to specific regulations that mandate the disclosure of salary ranges in job postings or upon request during the hiring process. We strive to ensure our practices promote fairness, equity, and transparency for all candidates.
Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.
