Solutions Architect, AI Services
Welocalize
CloudPythonSQL
Job Level
Mid-LevelSenior
Tech Stack
CloudPythonSQL
About the role
- Lead technical discovery sessions with client stakeholders, translating their pain points into actionable solutions
- Work directly with prospects during the sales process to prove technical feasibility
- Manage complex implementations from initial POC through production deployment
- Present technical solutions to executive teams and make the complex simple
- Build compelling POCs and demos that showcase what's possible with enterprise data at scale
- Design AI/ML workflows that automate business processes customers actually care about
- Architect end-to-end data pipelines using Salesforce Data Cloud, MuleSoft (good to have) and other integration tools
- Lead on-site technical implementations with enterprise clients and deliver measurable ROI
- Balance rapid POC development with building production systems that keep customers happy
Requirements
- 3-5 years of enterprise data engineering with proven client-facing implementation experience
- Self-starter mentality with the ability to lead implementations in ambiguous client environments
- Worked with stakeholders across multiple data and engineering problems
- Strong Python and SQL skills with the ability to build robust data pipelines
- Experience integrating AI/ML capabilities into automated business workflows
- Excellent communication skills – you can explain complex technical concepts to non-technical executives
- Track record of building technical demos and POCs that help close enterprise deals
- Expert-level platform skills – Salesforce Data Cloud, APIs, Service Cloud, and case management systems (Good to have)
