Solutions Architect

Robustintelligence in San Francisco Bay Area

$140,000 - $180,000

Vision

Robust Intelligence 's mission is to eliminate AI Risk. As we transition into a world that is adopting AI into automated decision processes, we inherit a great deal of risk. Data drift, misclassified data, prediction biases, and adversarial input easily distort AI outputs and can have detrimental effects. Our flagship product is built to be integrated with existing AI systems and eliminate these risks.

Advancing the state of AI is a collaborative process that requires unusually varied skills and perspectives. To that end, we have built a multidisciplinary team with increasingly diverse backgrounds. Together, we're building the future of secure, trustworthy AI.

Solutions Architect at Robust Intelligence is the trusted technical partner who will work closely with our customers in ensuring value from our product (RIME). The goal of Solutions Architect is to ensure customers achieve their desired outcomes while using RIME.

Solutions Architects will join us in tackling cutting-edge problems such as provisioning Kubernetes clusters, crafting and deploying highly-available services for dynamic cluster orchestration, and figuring out how to automate it all from scratch in a reproducible, reliable manner. You will work closely with many parts of the organization such as Engineering, Product Management and Customer Success to ensure they can function frictionlessly and achieve their goals.
Robust intelligence (RI) is a people-first company. We offer an array of perks and benefits that ensures our employees’ health and well-being. With RI’s in-office company culture, we offer our employees free daily lunches and dinners (if you are working late), free snacks and beverages, commuter benefits, and an office gym.

Our leaders recognize that all of our employees are humans first. Employees at the company are parents, pet owners, siblings, and a long list more. Hence, RI ensures that employees have the benefits and resources needed to spend time with their families and live a fulfilling life outside of work. Benefits include a flexible time off policy, paid parental/family leave, child care allowance, 401(k) retirement plan, and market-leading health, dental, and vision insurance for employees and dependents. We also have an education reimbursement program for individual learning.

The compensation for this position ranges between $140,000 - $180,000 [For a senior role]

What we offer:

We offer the opportunity to make a significant contribution to shaping the future of AI. This opportunity is a collaborative effort between impossibly talented individuals who share a passion for this mission. Our biggest asset is inclusion as we believe that building a diverse community is the key to succeeding on our mission. In addition to the goal and environment we offer:

- Competitive salary, and company ownership through equity
- Market-leading health, dental, and vision insurance for employees and dependents
- Flexible Time Off Policy and Paid Parental/Family Leave
- Education reimbursement program for Individual Learning
- 401(k) Retirement plan
- Commuter benefits
- Immigration sponsorship - H1B and Green Card
- Company lunches, dinners, and kitchens stocked with snacks and drinks
- On-site gym and wellness program
    • Serve as the technical deployment lead for RIME production customers
    • Create RIME deployment plans based on customer architecture and communicate them to customers
    • Work with our engineering and product teams to translate customer feedback into meaningful product, deployment and infrastructure insights
    • Propose solutions and architecture on how to deploy and leverage RI's product in the customer MLops pipeline.
    • Dry Run and Testing: Prepare for the customer deployment, make sure all is ready for the deployment day
    • (White Gloves) Deployment: Help customer do the the deployment
    • Professional Service: Do minor tweaks to the product to address customer infra uniqueness and unforeseen issues
    • Contribute to the effective and efficient handling of all levels of technical support cases from basic user questions to issues requiring more in-depth technical and problem-solving skills
    • Listen to customer concerns and issues, uses appropriate troubleshooting and problem analysis techniques to isolate the root cause of the problems, and recommend / implement appropriate solutions to resolve the problem.
    • Independently diagnose and resolve problems within our sphere of the customer environment
    • Follow standard procedures for proper escalation of unresolved issues to the appropriate internal team
    • Provide advice and information to customers and partners regarding general cloud infrastructure as service offerings and best practices
    • Research, troubleshoot and resolve escalated customer issues
    • Provide prompt and accurate feedback to customers
    • Requires the individual to exercise excellent judgment, at a faster-than average pace, while paying extremely close attention to detail and courtesy
    • Ensure proper recording and closure of all issues
    • Interact with various internal teams such as escalations, engineering and facilitate communication between customers and other teams
    • Contribute technical content to RI's leading Deployment Guides, Knowledge Base, FAQ’s etc..
    • Demonstrate case management skills for each case by resolving various issues quickly and proactively involving resources as needed to achieve high customer’s satisfaction.
    • Produce written designs and documentation regarding proposed or actual cloud deployments
    • Previous experience as solutions architect or solutions engineer, working with cloud providers such as AWS, GCP and Azure
    • Experience developing, deploying and managing containers and orchestration systems such as Docker and Kubernetes
    • Excellent communication & documentation Skills
    • Experience with infrastructure and configuration automation tools (Terraform, Helm)
    • Strong troubleshooting skills (Networking, Storage, Logs)
    • Outstanding problem-solving skills
    • Knowledge and hands-on experience on cloud deployments.
    • Willingness to learn and adapt to the entire technology stack
    • Should be comfortable filing bugs and working with engineering to articulate problem scenarios for reproducing issues
    • Experience with modern software components such as DNS, VPC, Load Balancers, Identity Providers, NoSQL DB (e.g. MongoDB)
    • Previous exposure to MLOps
    • Programming experience in Go, Python
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