Client‑Facing GenAI Engineer: Deploy & Scale AI Solutions

Arizeai; New York (NY); Hybrid; USD 155,000 - 225,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision benefits

Unlimited paid time off

401(k) plan

WFH monthly stipend

Job summary

Arizeai is seeking a Forward Deployed AI Engineer to work directly with client teams in New York City. This role combines technical AI expertise with business acumen, managing multiple projects and building lasting relationships with clients.

Key qualifications include experience in software development (Python, Java, TypeScript), MLOps, and cloud technologies. The estimated annual salary ranges from $155,000 to $225,000, along with a competitive benefits package and a remote-first work option.

Qualifications

• 2–5 years of software development experience in Python, Java, or TypeScript.
• Experience in building MLOps pipelines and deploying Generative AI applications.
• Familiarity with cloud platforms like AWS, GCP, or Azure.

Responsibilities

• Design and implement AI observability and evaluation programs.
• Lead technical discussions with customer stakeholders.
• Build custom integrations and workflows for clients.
• Manage multiple customer engagements from start to finish.
• Collaborate with cross-functional teams for implementation strategies.

Skills

Software Development (Python, Java, TypeScript)

MLOps pipelines

Cloud Technologies (AWS, GCP, Azure)

Excellent Communication

Project Management

Adaptability

Passion for AI

Tools

Docker

Kubernetes

Job description

Arizeai is seeking a Forward Deployed AI Engineer to work directly with client teams in New York City. This role combines technical AI expertise with business acumen, managing multiple projects and building lasting relationships with clients.

Key qualifications include experience in software development (Python, Java, TypeScript), MLOps, and cloud technologies. The estimated annual salary ranges from $155,000 to $225,000, along with a competitive benefits package and a remote-first work option.