AI Solutions Engineer for SMBs - Hybrid NYC

Cognitrio

New York (NY)

Hybrid

USD 135.000 - 247.000

Vollzeit

14 Tage+

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Zusammenfassung

Cognitrio in New York City seeks an AI Engineer to work directly with SMB customers, driving end-to-end engagements from discovery with our Sales team to direct technical execution.

You will architect and deploy AI-native systems and workflows hands-on, balancing long-term goals with security, maintainability, cost-efficiency, and operational impact, in a hybrid office model (3 days in‑office per week).

Qualifikationen

  • 3+ years of full-stack software engineering experience with a heavy focus on APIs and security hardening across the stack.
  • 2+ years of direct AI experience, developing agentic solutions and scalable workflows focusing on token consumption and cost optimization.
  • Experience with traditional automation, including RPA or legacy workflow tools.
  • GCP expert with 3+ years of applied experience in Google Cloud Platform; Professional Developer Certification preferred.

Aufgaben

  • Drive customer execution in close partnership with the customer’s stakeholders and internal Sales teams.
  • Translate business objectives and long-term goals into scalable, AI-native systems and automated workflows.
  • Architect and deploy solutions with rigorous testing and validation with nominated customer stakeholders.
  • Communicate clearly to both technical and non-technical audiences, maintaining momentum.
  • Manage program lifecycles, including timelines, milestones, and deadlines, while meeting Cognitrio’s standards.
  • Balance technical trade-offs around security hardening, cost-efficiency, and operational change management for the client.

Kenntnisse

Full-stack software engineering
APIs
Security hardening
AI experience
Agentic workflows
GCP
RPA

Ausbildung

Google Cloud Platform Professional Developer Certification

Tools

Google Cloud Platform

Jobbeschreibung

Cognitrio in New York City seeks an AI Engineer to work directly with SMB customers, driving end-to-end engagements from discovery with our Sales team to direct technical execution.

You will architect and deploy AI-native systems and workflows hands-on, balancing long-term goals with security, maintainability, cost-efficiency, and operational impact, in a hybrid office model (3 days in‑office per week).

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