AI Architect Jobs in New Jersey
AI Architect jobs in New Jersey are open across Jersey City, Princeton, and Summit and other New Jersey metros, with employers like Boston Consulting, Radware, and Bluevine hiring at every experience level. Find a role that fits below and apply directly.
Find AI Architect JobsOverview
Showing 5 of 16+ AI Architect jobs
Job Description:
Technical skills:
- GenAI & Agentic Frameworks - Semantic Kernel/ LangGraph (or similar orchestration frameworks); LLM integration (Azure OpenAI, OpenAI APIs, etc.); Prompt engineering, prompt lifecycle design
- Retrieval & RAG - Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management
- Tool Access & Integration - MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIs
- AI Safety & Governance - NVIDIA NeMo Guardrails; Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control
- Evaluation & ModelOps - Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoring
- DevOps & Observability - CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalability
Responsibilities: Role & Responsibilities Overview:
-
Architecture & Technical Leadership
-
Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers with some real hands-on experience doing POCs
- Design and govern agentic orchestration framework for multi-step production workflows
- Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation
- Have a deep understanding of Agentic coding and best practices of using Agentic coding for large scale implementations
-
Familiarity in implementing A2A or similar frameworks in a large scale environment
-
Platform & Integration Design
-
Define integration architecture across - Lakehouse, ODS, document systems, Underwriting systems and third-party APIs
- Design configurable, metadata-driven framework for multi-LOB onboarding
-
Define API/microservices patterns (Python/.NET hybrid)
-
AI & GenAI Enablement
-
Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows
- Establish multimodal integration approach combining structured, unstructured, and external data
-
Design prompt lifecycle, evaluation, and optimization strategy
-
Governance, Safety & ModelOps
-
Define AI safety and guardrails (PII, hallucination control, policy constraints)
- Establish ModelOps and PromptOps frameworks
-
Ensure explainability, auditability, and traceability of AI outputs
-
Program Leadership
-
Lead technical execution across AI, data, and platform teams
- Guide engineers (AI, data, full-stack) and ensure alignment with architecture
- Drive technical decisions and stakeholder communication
Qualifications: Education:
Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field
Job Description:
Technical skills:
- GenAI & Agentic Frameworks - Semantic Kernel/ LangGraph (or similar orchestration frameworks); LLM integration (Azure OpenAI, OpenAI APIs, etc.); Prompt engineering, prompt lifecycle design
- Retrieval & RAG - Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management
- Tool Access & Integration - MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIs
- AI Safety & Governance - NVIDIA NeMo Guardrails; Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control
- Evaluation & ModelOps - Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoring
- DevOps & Observability - CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalability
Responsibilities: Role & Responsibilities Overview:
-
Architecture & Technical Leadership
-
Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers with some real hands-on experience doing POCs
- Design and govern agentic orchestration framework for multi-step production workflows
- Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation
- Have a deep understanding of Agentic coding and best practices of using Agentic coding for large scale implementations
-
Familiarity in implementing A2A or similar frameworks in a large scale environment
-
Platform & Integration Design
-
Define integration architecture across - Lakehouse, ODS, document systems, Underwriting systems and third-party APIs
- Design configurable, metadata-driven framework for multi-LOB onboarding
-
Define API/microservices patterns (Python/.NET hybrid)
-
AI & GenAI Enablement
-
Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows
- Establish multimodal integration approach combining structured, unstructured, and external data
-
Design prompt lifecycle, evaluation, and optimization strategy
-
Governance, Safety & ModelOps
-
Define AI safety and guardrails (PII, hallucination control, policy constraints)
- Establish ModelOps and PromptOps frameworks
-
Ensure explainability, auditability, and traceability of AI outputs
-
Program Leadership
-
Lead technical execution across AI, data, and platform teams
- Guide engineers (AI, data, full-stack) and ensure alignment with architecture
- Drive technical decisions and stakeholder communication
Qualifications: Education:
Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field
See All 16 AI Architect Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI Architect JobsAI Architect Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
AI Architect Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- Boston Consulting2
- Radware2
- Bluevine1
- Citi1
- Coaction Specialty Insurance1
Top Industries Hiring
- Technology & Software8
- Consulting & Professional Services4
- Cybersecurity2
- Insurance2
- Investment & Asset Management2
What New Jersey Employers Look For
The qualifications that appear most often in AI architect jobs across New Jersey.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience designing and deploying large-scale machine learning or deep learning systems in production
- Proficiency with at least one major cloud AI platform such as AWS SageMaker, Azure AI, or Google Vertex AI
- Experience with MLOps tooling including model versioning, CI/CD pipelines, and model monitoring frameworks
- Strong programming skills in Python and familiarity with frameworks such as PyTorch, TensorFlow, or Hugging Face
- Demonstrated ability to translate business requirements into scalable AI system architecture and communicate trade-offs to non-technical stakeholders
AI Architect Jobs in New Jersey: Frequently Asked Questions
How many AI architect jobs are there in New Jersey?
There are 16+ AI architect openings in New Jersey on Migrate Mate as of June 2026, with the most roles in Jersey City, New Jersey, and Princeton. New positions post regularly as employers across New Jersey hire.
How much do AI architects make in New Jersey?
AI architects in New Jersey earn a median of about $108,310 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $48,380 for the lowest 10% to over $207,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which New Jersey cities have the most AI architect jobs?
Jersey City, New Jersey, and Princeton have the most AI architect openings in New Jersey right now, with additional roles spread across smaller metros statewide.
Which companies hire AI architects in New Jersey?
Employers hiring AI architects in New Jersey include Boston Consulting, Radware, and Bluevine, based on current listings on Migrate Mate as of June 2026.
Are there remote AI architect jobs in New Jersey?
Yes. About 19% of AI architect openings tied to New Jersey are remote or hybrid as of June 2026. The rest are on-site roles based in New Jersey metros.
How do I apply for AI architect jobs in New Jersey?
You can apply to AI architect jobs in New Jersey directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred New Jersey location, then apply to each one that fits.
See All 16 AI Architect Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI Architect Jobs