Remote Client-Facing AI Solutions Engineer

Growth Protocol; New York (NY); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation and equity

100% Company Paid Health, Dental, and Vision Insurance

401K Matching

Remote or Hybrid Work Schedule

Pet-friendly office

Job summary

Growth Protocol is seeking a Forward Deployed Engineer to work closely with clients to tackle critical growth challenges. You will drive the solution end-to-end, collaborating with internal teams and partners to deliver AI integrations that transform enterprises. The ideal candidate has extensive technical client-facing experience, strong coding skills in Python, and a proven track record in deploying AI workflows. This role offers competitive compensation, full health benefits, and flexible work schedules between remote and on-site in New York.

Qualifications

• 5+ years in a hybrid technical + client-facing role.
• Experience deploying AI/ML workflows or intelligent applications.
• Strong coding background in Python plus familiarity with cloud platforms.

Responsibilities

• Lead end-to-end technical delivery for enterprise engagements.
• Embed with client teams to scope high-value workflows.
• Communicate effectively with senior executives on AI workflow strategies.

Skills

Technical client-facing experience

AI/ML workflows deployment

Strong coding in Python

Experience with GCP

Knowledge of Docker

Experience with data pipelines

Strong analytical skills

Verbal and written communication

Tools

FastAPI

LangChain/LangGraph

Elasticsearch

Snowflake

BigQuery

Job description

Growth Protocol is seeking a Forward Deployed Engineer to work closely with clients to tackle critical growth challenges. You will drive the solution end-to-end, collaborating with internal teams and partners to deliver AI integrations that transform enterprises. The ideal candidate has extensive technical client-facing experience, strong coding skills in Python, and a proven track record in deploying AI workflows. This role offers competitive compensation, full health benefits, and flexible work schedules between remote and on-site in New York.