Gen AI Architect

Global IT Investors Inc Dba TechnoVal Alliance

Job Location:

Jersey, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

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 Copilots built-in connectors to integrate enterprise apps and services seamlessly.

Required Qualifications:

Bachelors or Masters 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.

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-...