Forward-Deployed AI Architect for Enterprise Impact

S27a

New York (NY)

On-site

USD 165,000 - 175,000

Full time

14 days+
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Benefits offered by this job

Unlimited PTO
Parental leave
Stock Purchase Program (ESPP)
Annual bonus program
Medical, Dental, Vision

Job summary

Cogniify seeks a Forward Deployed Engineer (Principal / Architect) to own AI transformation engagements for enterprise clients. You will lead discovery with CXOs, diagnose real problems, and design PoAs built for client environments, typically within 2–3 weeks.

The role demands a senior, hands-on engineer who can code and defend solutions to executives. You will shape data pipelines, AI/LLM-powered applications, and production-ready frameworks, while mentoring junior engineers and driving PoAs

Qualifications

  • 3–6+ years of technology experience in architect-level or technical lead roles on enterprise-grade systems.
  • Strong business acumen and ability to translate client problems into technical solutions.
  • Hands-on experience building production-quality data pipelines, APIs, and applications.

Responsibilities

  • Own client engagements end to end from discovery through architecture, build, and handover.
  • Lead discovery sessions with CXOs and senior leaders to uncover real problems behind the stated ask.
  • Architect and deliver production-credible PoAs including data pipelines and AI-powered features.

Skills

Python
SQL
Data pipelines
APIs
LLM/AI
Cloud platforms

Education

Bachelor's or Master's in Computer Science Data Science Engineering or related field

Tools

Snowflake
Databricks
BigQuery
Redshift
Airflow
dbt
Dagster
Prefect
LangChain

Job description

Cogniify seeks a Forward Deployed Engineer (Principal / Architect) to own AI transformation engagements for enterprise clients. You will lead discovery with CXOs, diagnose real problems, and design PoAs built for client environments, typically within 2–3 weeks.

The role demands a senior, hands-on engineer who can code and defend solutions to executives. You will shape data pipelines, AI/LLM-powered applications, and production-ready frameworks, while mentoring junior engineers and driving PoAs

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