Data Science Architect, Contract
Skills
- Deep expertise in Agentic AI principles, design patterns, and frameworks
- Strong software engineering practices for building scalable, maintainable systems
- Extensive hands-on experience with Google Cloud Platform (Vertex AI, Agentspace, Agent Engine, Cloud Run)
- Proven experience with the Google Agent Development Kit (ADK)
- Advanced Python skills for AI/ML and cloud-native application development
- Rapid prototyping and delivering UAT-ready solutions
- Strong client communication, technical leadership, and mentorship
Responsibilities
- Collaborate with client stakeholders to identify and define strategic agentic AI use cases in the financial domain
- Architect and implement rapid prototypes of agentic solutions from concept through UAT-ready deployments
- Use GCP services (Vertex AI, Agentspace, Agent Engine, Cloud Run) to develop and deploy prototypes
- Lead technical execution, provide hands-on guidance, code reviews, and mentorship to an offshore engineer
- Serve as primary technical point of contact with the client and communicate progress, risks, and architectural decisions
Education
- Bachelor’s degree in Computer Science, Data Science, Engineering, or related field required
- Master’s or PhD in a related discipline preferred
- Relevant professional certifications (GCP, ML, or architecture) are a plus
Benefits
- Competitive contract compensation
- Fully remote engagement with flexible hours (25-45 hrs/week)
- Opportunity to work with cutting-edge Google Cloud AI technologies
- Mentorship and leadership role guiding offshore engineering teams
- Possibility of contract extension based on performance and client need
- Equal opportunity employer
Average salary estimate
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