Senior Cloud AI Engineer — Secure, Scalable Systems

engineeringjobs.net, Inc.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health Care Coverage

On-Site Health And Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Incentive Compensation

Forfeitable Equity

Job summary

engineeringjobs.net, Inc. is seeking an architect-level engineer to design and deliver secure, scalable software frameworks and production code while advising teams and influencing senior stakeholders on technical direction.

You will lead the responsible adoption of agentic AI-enabled engineering workflows, establishing guardrails for validation, security, resiliency, auditability, and reuse across projects.

Qualifications

• Requires formal training or certification in software engineering concepts.
• At least 7 years of applied software engineering experience.
• Experience with cloud platforms (GCP or AWS).
• Hands-on delivery across system design, development, testing, and operations.

Responsibilities

• Architect and deliver secure, scalable software frameworks and production code.
• Advise teams and influence senior stakeholders on technical direction.
• Lead adoption of agentic AI-enabled engineering workflows with guardrails for validation, security, resiliency, auditability, and reuse.

Skills

GCP

AWS

Python

Java

Go

Software Architecture

Application Development

System Design

Software Testing

Operational Stability

Agentic AI

AI-Assisted Development

Secure Coding

Human-In-The-Loop Validation

Risk-Based Governance

Stakeholder Communication

Job description

engineeringjobs.net, Inc. is seeking an architect-level engineer to design and deliver secure, scalable software frameworks and production code while advising teams and influencing senior stakeholders on technical direction.

You will lead the responsible adoption of agentic AI-enabled engineering workflows, establishing guardrails for validation, security, resiliency, auditability, and reuse across projects.