Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Docker @ 3
TypeScript @ 3
Python @ 3
GCP @ 3
GitHub @ 3
Datadog @ 3
Data Science @ 3
Leadership @ 6
AWS @ 3
Azure @ 3
JavaScript @ 3
Mathematics @ 3
Networking @ 3
React @ 3
Node.js @ 3
Compliance @ 3
Observability @ 3
AI @ 3
RAG @ 3
GenAI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.
Responsibilities
- Act as primary technical SME post-sale and embed with customers to design and deploy GenAI solutions.
- Engage senior business and technical stakeholders to identify and prioritize high-value GenAI applications.
- Provide architectural guidance and advise on scaling solutions in production.
- Build hands-on prototypes, proofs of concept, and demos.
- Maintain relationships with leadership and technical teams to drive adoption and expansion.
- Contribute to open-source resources and enterprise-facing technical documentation.
- Share learnings with internal teams to inform product development and operationalize best practices.
Requirements
- Bachelor’s degree or foreign equivalent in Data Science, Computational Mathematics, or related field.
- Minimum five (5) years of experience as a Solutions Architect, Data Science Consultant, Software Engineer, or related occupation.
Must-have experience:
- Building GenAI prototypes, proofs of concept, and demos for large multinational corporations.
- Python, JavaScript, TypeScript, Node.js, React, GitHub.
- AI application development: RAG, evals, multi-agent systems, orchestration, and caching.
- Deploying solutions on AWS, GCP, Azure, containers and Docker, and serverless.
- Networking basics around bastions and VPCs.
- Observability tooling: Datadog and Humio.
- Enterprise security, privacy, and compliance: SOC 2, PII handling, and DLP.
Location / remote:
- Based in San Francisco, CA. Telecommuting permitted from within the U.S.
Compensation
- Salary: $175,000 - $240,000 per year.
- Offers equity; total compensation may include performance-related bonuses and other components.
Benefits
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax accounts: Health FSA, Dependent Care FSA, commuter benefits.
- 401(k) retirement plan with employer match.
- Paid parental leave (up to 24 weeks for birth parents, 20 weeks for non-birthing parents) and paid medical/caregiver leave.
- Flexible PTO for exempt employees; up to 15 days annually for non-exempt employees.
- 13+ paid company holidays and periodic coordinated office closures; paid sick/safe time as required by law.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Additional taxable fringe benefits (charitable donation matching, wellness stipends) as may be provided.