Agentic AI

Quantum Technologies LLC; Weehawken (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

Quantum Technologies. LLC seeks a senior architect to develop enterprise-grade Agentic AI systems for supply chain applications. You will own designs from requirements through deployment, collaborating with IT, product, and research teams using LLMs, agent orchestration frameworks, and NVIDIA NeMo/AIQ technologies.

The role requires deep hands-on engineering across on-prem, cloud, or hybrid deployments, strong architectural judgment, and proven collaboration with cross-functional stakeholders.

Qualifications

• Bachelor’s degree in Computer Science or related field or equivalent experience.
• 12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering.
• Strong hands-on expertise in Python for building production-grade AI systems, with experience in SQL, JSON, and backend service development (Java a plus).
• Proficiency in AI/ML systems, generative AI, or agentic AI frameworks.
• Experience with LLMs, RAG architectures, and agent orchestration frameworks (ReAct, LangChain-based systems, AutoGPT).
• Hands-on experience with vector databases, embeddings, and retrieval optimization for production systems.
• Experience designing multi-agent communication/coordination patterns (planner/executor/critic, supervisor agents).
• Experience integrating enterprise platforms (ERP, CRM, ITSM) via APIs/data connectors.
• Strong solution design, analytical skills, and business process modeling.
• Excellent collaboration and ability to influence cross-functional stakeholders and communicate architectural concepts.

Responsibilities

• Develop and own enterprise-grade Agentic AI systems for supply chain use cases.
• Capture design requirements and translate them into user stories and technical designs.
• Be hands-on in development and implement enterprise-grade Agentic AI solutions.
• Partner with IT, product, and research teams using LLMs and agentic frameworks.
• Ensure integration with ERP/CRM/ITSM data sources and secure content handling.
• Drive deployment model decisions (on-prem, cloud, hybrid, containerized).
• Lead technical design reviews and document designs.
• Define agent autonomy boundaries and human-in-the-loop workflows.
• Design observability frameworks (latency, accuracy, cost, failures, hallucinations).

Skills

Python

SQL

JSON

Backend service development

AI/ML systems

Generative AI

Agentic AI frameworks

LLMs

RAG architectures

LangChain

AutoGPT

Vector databases

Embeddings

Retrieval optimization

Multi-agent coordination

ERP integration

CRM integration

ITSM integration

Education

Bachelor’s degree in Computer Science or related field

Tools

NeMo

AIQ

LangChain-based systems

ReAct patterns

AutoGPT-style workflows

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

What you will be doing:

• Develop and own enterprise-grade Agentic AI systems for Supply Chain use cases, including multi-agent architectures, orchestration frameworks, RAG pipelines, deployment, monitoring, and full lifecycle management.
• Capture design requirements, translate requirements into user stories, perform technical design, drive end to end integration testing, support data set up and issue remediation during UAT, manage development team activities, develop Hypercare support model
• Be hands on in development and implement enterprise grade Agentic AI Supply Chain solutions
• Partner with Enterprise IT engineering, product, and research teams while using LLMs, agentic frameworks, and NVIDIA’s own NeMo and AIQ technologies.
• Ensure integration with enterprise IT and Operations data sources and Industry’s best Agentic platforms with strong content security focus.
• Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.
• Lead technical design reviews, develop technical design documentation, and follow principles of code development.
• Define agent autonomy boundaries, human-in-the-loop workflows, and escalation strategies for enterprise supply chain use cases.
• Design and implement agent observability and evaluation frameworks (latency, accuracy, cost, failure modes, and hallucination analysis).

What we need to see:

• Bachelor’s degree in Computer Science or related field (or equivalent experience)
• 12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering.
• Strong hands-on expertise in Python for building production-grade AI systems, with experience in SQL, JSON, and backend service development (Java a plus)
• Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.
• Experience working with LLMs, RAG architectures, and agent orchestration frameworks such as ReAct patterns, LangChain-based systems, and AutoGPT-style workflows.
• Hands-on experience with vector databases, embeddings, and retrieval optimization, including indexing strategies, similarity search tuning, and relevance evaluation for production systems.
• Experience designing multi-agent communication and coordination patterns (planner/executor/critic, supervisor agents, etc.).
• Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.
• Strong technical solution design, analytical skills, and the ability to perform technical and business process modeling
• Excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships.
• Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.