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3Rd Shift Gen Ai Architect Jobs (NOW HIRING)

$180 - $240/hr

The Gen AI Architect will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for investment banking processes. The ideal candidate will have a strong ...

They are seeking a highly experienced Gen AI Architect to lead the GIS team in developing and implementing geospatial solutions, ensuring data integrity and collaborating with cross-functional teams.

NY · On-site

$140 - $210/hr

We are seeking an experienced GenAI Architect for an international project focused on building modern AI-based solutions and agent systems operating in the AWS cloud environment. The role requires ...

Gen AI Architect

Columbus, OH · On-site

$85 - $90/hr

... Architect contractor is required due to the specialized nature of implementing Generative AI tooling such as GitHub Copilot and the associated high-scale cloud infrastructure on platforms like Azure ...

Gen AI Architect

Sunnyvale, CA · On-site

$75 - $98.75/hr

Seeking a visionary and hands-on Generative AI Solution Architect to lead the design and implementation of cutting-edge AI solutions. In this role, you will bridge the gap between business strategy ...

AI Architect

Minneapolis, MN · On-site

$180 - $240/hr

Gen AI Architect - Agentic AI for Data Engineering Platform Automation Role Summary We are seeking a Gen AI Architect to design and lead the implementation of agentic AI solutions that automate and ...

New

AI Architect

Mclean, VA · On-site

$190K - $230K/yr

As AI Architect, you'll own the north star for gen AI and ML engineering at KLDiscovery and build alongside the team to make it real. This is one of the most interesting AI problem sets in enterprise ...

AI Architect

Eden Prairie, MN · On-site

$190K - $230K/yr

As AI Architect, you'll own the north star for gen AI and ML engineering at KLDiscovery and build alongside the team to make it real. This is one of the most interesting AI problem sets in enterprise ...

GEN AI Architect@ NYC, NY & Charlotte, NC

Manhattan, NY · On-site

$69.50 - $91.50/hr

GEN AI Architect Location: NYC, NY & Charlotte, NC Duration: Long Term Contract Key Responsibilities * Design end-to-end Generative AI architectures using LLMs and AI platforms * Define solution ...

Design, develop, and implement Generative AI solutions tailored to investment banking needs. Utilize Microsoft Azure OpenAI services to build and optimize AI models. Apply RAG techniques to improve ...

Design,develop, and implement Generative AI solutions tailored to investmentbanking needs. * UtilizeMicrosoft Azure OpenAI services to build and optimize AI models. * ApplyRAG techniques to improve ...

Gen AI Solution Architect Location: Charlotte, NC or Jersey City, NJ (Hybrid) Duration: 10-12 months Responsibilities: Lead architecture initiatives from start to finish. Collaborate with business ...

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill ... gen AI solution using Copilot, Claude Code etc in the STLC 2. Participate in design and ...

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3Rd Shift Gen Ai Architect information

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How much do 3rd shift gen ai architect jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for 3rd shift gen ai architect in the United States is $70.17, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $79.81 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Gen Ai Architect jobs?

The most popular types of Gen Ai Architect jobs are:

Contractor

Re-posted 6 days ago


Job description

Job Title: Gen AI Architect 

Job Location: New Jersey - Oniste

Duration: Long Term Duration

 
Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.
Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.
Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.
Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance.
Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows.
Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development, adaptive orchestration of multiple AI skills and APIs, contextual memory management, dynamic prompt engineering, and secure data handling.
Agent Orchestration: Build multi-turn agents that adapt and chain AI skills and APIs.
Trigger Management: Configure message, data, scheduled, and webhook triggers.
Automation Workflow: Design workflows with Power Automate for task automation.
Flow Design: Create logical, scalable flows for complex business processes.
Tool Integration: Use Copilot’s built-in connectors to integrate enterprise apps and services seamlessly.
 
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
8+ years of experience in AI/ML engineering, with at least 1 year focused on Generative AI.
Hands-on experience with RAG architectures, including document chunking, embedding generation, and retrieval systems.
Proficiency in Python and familiarity with libraries such as Hugging Face, Transformers, OpenAI API, and PyTorch/TensorFlow.
Experience with Agentic AI frameworks (LangGraph, OpenAI SDK, AutoGen, CrewAI) and building agent accelerators using platforms like Copilot Studio or AWS Bedrock AgentsCore
Strong understanding of LLM capabilities, limitations, and prompt engineering techniques.
Experience with cloud platforms and containerization (Docker, Kubernetes).
Preferred Qualifications:
Experience with fine-tuning LLMs or training custom models.
Familiarity with multi-modal AI (text, image, audio).
Contributions to open-source GenAI projects or publications in AI conferences.