Leads end-to-end delivery of multi-agent AI systems for enterprise clients, analyzing workflows, building Python-based integrations with systems like SAP and Salesforce, and ensuring production deployment. Requires 1-3 years experience in data science or solutions engineering, Python proficiency, and strong communication skills.
180k – 233k/yr
Hybrid1+ YOEML Engineering
About the role
Key Responsibilities
End-to-End Delivery & Analytics: Lead technical deep-dive sessions with clients to map complex data landscapes, business processes, and pain points to production-grade AI workflows.
System Implementation & Deployment: Build, deploy, and maintain custom multi-agent AI systems using Python and Tessera’s AI tools for fully operationalized solutions.
Data Wrangling, Migration & Integration: Analyze, clean, and transform customer data; execute complex data migration projects and architect integrations with edge systems.
Technical Communication: Act as primary technical liaison, translating complex concepts into clear business outcomes for stakeholders.
Cross-Functional Collaboration: Gather insights from client engagements to shape product and engineering roadmaps.
Technical Skills
Data Science & Analytics: Strong knowledge of statistics, business analytics, or data science principles.
Software Development: Strong Python proficiency (Pandas, NumPy) for data manipulation, scripting, and automation; AI-assisted coding tools (Cursor, Claude Code, Codex).
Enterprise Systems: Understanding of APIs; work with Microsoft D365 CRM, SAP S/4 HANA; familiarity with Salesforce, Snowflake, Profisee a bonus.
Applied AI: Foundational understanding of LLMs and secure AI application at scale.
Required Qualifications
1–3 years of experience in Data Science, Business Analytics, Implementation, Solutions Engineering, Technical Consulting, or related field.
Degree in Statistics, Mathematics, Business Analytics, Computer Science, or related quantitative discipline.
Proven experience with complex data migration projects and building integrations.
Highly coachable with growth mindset; willing to travel 1-3 times/month; strong communication skills; comfortable with ambiguity.
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