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Tessera LabsTessera LabsNew York, NY

Forward-Deployed Engineer (CoE)

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.

Skills

PythonpandasNumPySap S/4 HanaMicrosoft D365 CrmSalesforceSnowflakeAPIsLLMsData Migration

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