1

Remote Ai Prompt Engineer Jobs Near Me

Establish engineering standards for secure AI: prompt security, tool/function calling patterns, input/output validation, PII masking, secrets handling, and deterministic fallbacks. * Create ...

New

AI Engineer Lead[100%REMOTE]

Columbus, OH · On-site

$99K - $130K/yr

AI Engineer Lead 100% Remote Role ONLY H1B, EADs, and USC Position: IT Consultant 1/ITC 1 (AI Engineer Lead) Location: Columbus, OH Interview Type: MS TEAMS interview Work Arrangement: Remote AI ...

AI Agents & Prompt Engineering * Azure Cloud Services & Platforms * Full Stack Development * Low-Code / No-Code Automation Solutions * Process Automation & Business Transformation * AI-Driven ...

Strong knowledge of prompt engineering, embeddings, model evaluation, and fine-tuning. * Experience with AWS, Azure, or GCP AI services. * Expertise in developing REST APIs using FastAPI or Flask

Strong knowledge of prompt engineering, embeddings, model evaluation, and fine-tuning. * Experience with AWS, Azure, or Google Cloud Platform AI services. * Expertise in developing REST APIs using ...

Senior AI Engineer

Columbus, OH · On-site

$97K - $134K/yr

Prompt Engineering & AI Model Integration * Agentic AI development and testing * API Development & Integration * Cloud Engineering experience (Google Cloud Platform, Azure, or AWS). * Experience with ...

The position involves supporting AI agents, developing basic prompt patterns, and collaborating with senior engineers and cross-functional teams to deliver secure and reliable solutions. Key ...

Establish standards for prompt engineering, RAG, model selection, and evaluation. Enable self-service AI platforms using cloud ecosystems like Amazon Web Services and Microsoft Azure. Preferred ...

Establish standards for prompt engineering, RAG, model selection, and evaluation. Enable self-service AI platforms using cloud ecosystems like Amazon Web Services and Microsoft Azure. Preferred ...

next page

Showing results 1-20

Remote Ai Prompt Engineer information

See salary details

$25

$53

$76

How much do remote ai prompt engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote ai prompt engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What job categories do people searching Remote Ai Prompt Engineer jobs look for?

The top searched job categories for Remote Ai Prompt Engineer jobs are:

What cities are hiring for Remote Ai Prompt Engineer jobs?

Cities with the most Remote Ai Prompt Engineer job openings:

What states have the most Remote Ai Prompt Engineer jobs?

States with the most job openings for Remote Ai Prompt Engineer jobs include:

What are the most commonly searched types of Ai Prompt Engineer jobs?

The most popular types of Ai Prompt Engineer jobs are:

A map of the United States highlighting the number of Remote Ai Prompt Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Remote Ai Prompt Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Senior Lead Security Engineer, AI

TwinThread

Columbus, OH • On-site

$120 - $150/hr

Other

Posted yesterday

New


Job description

Job Summary

As a Senior Lead AI Security Engineer in our Cybersecurity team, you will design and deliver secure artificial intelligence solutions that support critical cyber use cases. You will play a key role in shaping platform standards and governance, collaborating with cross‑functional teams, and driving innovation in secure AI. Together, we will build foundational capabilities and create lasting impact for our organization and the wider community.

Job Responsibilities
  • Lead end-to-end design and delivery of AI solutions for cyber use cases, from problem framing and data integration to model development, evaluation, deployment, and monitoring.
  • Build secure LLM/RAG services and ML pipelines that integrate with SIEM/XDR, EDR, SOAR, IAM, ITSM, CMDB, code repos, and cloud telemetry.
  • Establish engineering standards for secure AI: prompt security, tool/function calling patterns, input/output validation, PII masking, secrets handling, and deterministic fallbacks.
  • Create evaluation harnesses with offline/online metrics, golden datasets, adversarial prompt sets, jailbreak tests, and safety/quality KPIs.
  • Partner with platform teams to stand up reusable AI components: LLM gateways, vector stores, feature stores, evaluation/observability, and governance workflows.
  • Implement drift and quality monitoring; define SLAs/SLOs; build incident response runbooks for AI-enabled services.
  • Collaborate with risk and MRGR-style governance partners to meet documentation, validation, and attestations; maintain model/AT inventories, monitoring plans, and change logs.
  • Deliver measurable impact: reduce MTTR, improve detection precision, automate control evidence collection, and accelerate secure engineering.
  • Mentor engineers and analysts; publish playbooks, templates, and safe prompt libraries; lead brown‑bags and office hours for adoption.
  • Drive a roadmap of 2–3 flagship capabilities per year (e.g., SOC triage assistant, controls automation agent, DevSecOps code copilot).
Required Qualifications, Capabilities, and Skills
  • Minimum 7 years of software/security engineering, including hands‑on experience in one or more of: detection engineering, SecOps, AppSec/DevSecOps, or cloud security.
  • Minimum 3 years building and operating applied ML/LLM systems in production (RAG pipelines, embeddings, fine‑tuning/specialization, vector databases, model serving).
  • Proficiency in Python and at least one of: Java, Scala, or TypeScript; experience with microservices, APIs, containers, and Kubernetes.
  • Familiarity with SIEM, EDR, SOAR, IAM, and ITSM integrations; streaming/data engineering with Kafka or similar.
  • Experience with LLM orchestration and guardrails (prompt engineering, injection defense, tool calling, safety filters).
  • Hands‑on with ML
#J-18808-Ljbffr