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Fullstack AI Architect

Ztek Consulting

Hybrid in New York, New York • Today

Easy Apply

Contract

Depends on Experience

AI Architect - REMOTE

VeridianTech

Jersey City, New Jersey • Today

Easy Apply

Contract, Third Party

AI Architect

Rayomind Software Solutions LLC, DBA, Hire'in Solutions

New York, New York • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

AI Architect (Agentic AI / RAG)

Pebal Bright Technologies LLC

New York, New York • 26d ago

Easy Apply

Full-time, Third Party

80 - 90

AI Architect

Tandavix llc

Hybrid in New York, New York • Today

Easy Apply

Contract

60 - 70

AI Architect

Momento USA LLC

New York, New York • Today

Easy Apply

Contract, Third Party

$65 - $70

Looking for AI Modernization Architect/ Agentic AI Architect NJ Area (Hybrid)

Nam Info Inc

Newark, New Jersey • Today

Easy Apply

Third Party

AI Architect (Microsoft AI & Automation)

Alfvo, LLC

Hybrid in Piscataway, New Jersey • 4d ago

Easy Apply

Contract

Depends on Experience

AI Architect (Microsoft AI & Automation)

Logisoft Technologies Inc

Piscataway, New Jersey • 13d ago

Easy Apply

Contract, Third Party

Depends on Experience

AI Architect

ITBMS Inc.

Bernardsville, New Jersey • 28d ago

Easy Apply

Contract

Depends on Experience

AI Architect

The Avian Consulting LLC

Remote • Yesterday

Easy Apply

Contract

$70 - $80

BCG Platinion | AI Tech Architect (Internship)

Boston Consulting Group

New York, New York • Today

Full-time

USD 110,000.00 - 120,000.00 per year

Solution Architect - AI/GenAI, Data & Statistical || FTE at NJ

IT First Source

Jersey City, New Jersey • 5d ago

Easy Apply

Full-time

Depends on Experience

Senior Ontology & Knowledge Graph AI Architect- New York (Hybrid)

Avtech Solutions

New York, New York • Today

Easy Apply

Third Party, Contract

AI Solutions Architect

Randstad Digital

New York, New York • Today

Contract

USD58 - USD68

Principal AI Architect

LogiX-Guru

Remote • Today

Easy Apply

Contract

Depends on Experience

AI Architect

Robert Half

Remote or Edina, Minnesota • Today

Easy Apply

Full-time

USD 200,000.00 - 250,000.00 per year

Enterprise AI Architect (Agentic AI & GitHub Copilot)

Randstad Digital

Remote or Troy, Michigan • Today

Contract

USD63 - USD73

Google AI Architect

InfoVision, Inc.

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

AI Solution Architect (Hybrid Onsite and In Person Interview)

Xoriant Corporation

Hybrid in New York, New York • 6d ago

Easy Apply

Contract

70 - 80

HIRING! AI/Agentic AI Architect from Healthcare Domain Background

PropelSys Technologies LLC.

Remote or Texas • Today

Easy Apply

Full-time, Contract, Third Party

AI Architect

Brooksource

Remote • Today

Contract

$80.00 - $92.00

SAP AI Architect

Shimento, Inc.

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

AI Architect - 100% Remote

Connect Tech+Talent

Remote • Today

Easy Apply

Contract

Depends on Experience

AI Architect

Intraedge

Remote • 12d ago

Easy Apply

Contract, Third Party

Depends on Experience

Google AI Architect

InfoVision, Inc.

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Agent AI Architect

Synapse Business Systems

Remote • 14d ago

Easy Apply

Contract

Depends on Experience

AI Architect - Agentic AI

Relanto, Inc.

Remote • 26d ago

Easy Apply

Full-time

Depends on Experience

AI Architect

ServiceNow, Inc.

Remote or New York, New York • Today

Full-time

USD 221,200.00 - 387,100.00 per year

Senior AI Architect

Sia

New York, New York • Today

Full-time

USD 130,600.00 - 135,700.00 per year

Job Details

Skills

Fullstack
Aritificial Intelligence
Generative AI
LLM
Python

Summary

Job Title: Fullstack AI Architect

Location: New York City, NY

Type of hire: Contract

Job Description :

The most senior engineer on the team and the technical anchor for the platform. You design the reference architecture and personally build the hardest pieces the lifecycle registries, the AI control-plane services that plug into the enterprise gateway, and the harness/memory services setting the patterns the rest of the pod extends.

What You Will Do

Own the paved road the reference architecture and the reusable registration pattern behind every asset (registration schema, semantic metadata, I/O contract, execution binding, governance constraints) so the agent, model, tool, workflow and skill registries all share one shape.
Personally build the hardest pieces the lifecycle registries; the AI control-plane services that plug into the enterprise gateway (registries, PII/PHI and prompt-injection scanning as a gateway policy, token-aware metering and multi-vendor cost attribution, AI trace/observability, and the multi-provider model-abstraction layer behind its fail-over); and the harness/memory & skills services.
Build the agent-building paved road the scaffolds, patterns and sub-agent topologies the team uses to stand up new agents fast, including the end-to-end builder agent (architect provision implement test sub-agent deploy post-process log).
Deliver platform features as agents where it fits (e.g. a lifecycle-management agent, a skills-planning agent) so the platform builds and operates itself, not just exposes CRUD APIs.
Enforce portability in code containerize everything; standardize lineage on MLflow + metadata, telemetry on OpenTelemetry, table formats on Delta UniForm / Iceberg, and open-weight serving on vLLM/Ray/DeepSpeed.
Set the engineering bar testing, CI/CD, IaC and security-by-default standards; review the team's hardest designs and pull requests; mentor the senior engineers.
Build with AI and build agents end to end like everyone on the team.

What We're Looking For Required Qualifications

Principal-level full-stack you build production services end to end (backend, APIs, and enough frontend to ship the registry and dev UIs) and you own systems in production.
Distributed systems & platform engineering Kubernetes, containers, IaC (Terraform), CI/CD, secrets/RBAC, and multi-tenant service design.
Cloud depth with a portable mindset strong on Google Cloud Platform (GKE, Vertex AI, IAM, VPC Service Controls, BigQuery), but standards-first by instinct.
Hands-on GenAI / agentic engineering LLM and agent runtimes, multi-agent and sub-agent orchestration, A2A and MCP/tool integration, retrieval/RAG, memory systems, and end-to-end builder agents.
Security & governance by design identity-aware access, PII/PHI handling, runtime guardrails, gateway/policy-as-code, and audit/observability.
AI-assisted engineering fluent and effective with AI coding tools (Cursor, Claude Code, Copilot, Windsurf or equivalent), and able to define the patterns and review discipline the team uses with them.
Strong software engineering background strong Python (and typically one of Go / Java / TypeScript).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10217521
Position Id: 9085544
Posted 7 hours ago

Fitment

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Contact the job poster

Malkeet Singh

Technical Recruiter @ Ztek Consulting

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Job Details

Skills

Fullstack
Aritificial Intelligence
Generative AI
LLM
Python

Summary

Job Title: Fullstack AI Architect

Location: New York City, NY

Type of hire: Contract

Job Description :

What You Will Do

Own the paved road the reference architecture and the reusable registration pattern behind every asset (registration schema, semantic metadata, I/O contract, execution binding, governance constraints) so the agent, model, tool, workflow and skill registries all share one shape.
Personally build the hardest pieces the lifecycle registries; the AI control-plane services that plug into the enterprise gateway (registries, PII/PHI and prompt-injection scanning as a gateway policy, token-aware metering and multi-vendor cost attribution, AI trace/observability, and the multi-provider model-abstraction layer behind its fail-over); and the harness/memory & skills services.
Build the agent-building paved road the scaffolds, patterns and sub-agent topologies the team uses to stand up new agents fast, including the end-to-end builder agent (architect provision implement test sub-agent deploy post-process log).
Deliver platform features as agents where it fits (e.g. a lifecycle-management agent, a skills-planning agent) so the platform builds and operates itself, not just exposes CRUD APIs.
Enforce portability in code containerize everything; standardize lineage on MLflow + metadata, telemetry on OpenTelemetry, table formats on Delta UniForm / Iceberg, and open-weight serving on vLLM/Ray/DeepSpeed.
Set the engineering bar testing, CI/CD, IaC and security-by-default standards; review the team's hardest designs and pull requests; mentor the senior engineers.
Build with AI and build agents end to end like everyone on the team.

What We're Looking For Required Qualifications

Principal-level full-stack you build production services end to end (backend, APIs, and enough frontend to ship the registry and dev UIs) and you own systems in production.
Distributed systems & platform engineering Kubernetes, containers, IaC (Terraform), CI/CD, secrets/RBAC, and multi-tenant service design.
Cloud depth with a portable mindset strong on Google Cloud Platform (GKE, Vertex AI, IAM, VPC Service Controls, BigQuery), but standards-first by instinct.
Hands-on GenAI / agentic engineering LLM and agent runtimes, multi-agent and sub-agent orchestration, A2A and MCP/tool integration, retrieval/RAG, memory systems, and end-to-end builder agents.
Security & governance by design identity-aware access, PII/PHI handling, runtime guardrails, gateway/policy-as-code, and audit/observability.
AI-assisted engineering fluent and effective with AI coding tools (Cursor, Claude Code, Copilot, Windsurf or equivalent), and able to define the patterns and review discipline the team uses with them.
Strong software engineering background strong Python (and typically one of Go / Java / TypeScript).

Dice Id: 10217521
Position Id: 9085544
Posted 7 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Malkeet Singh

Technical Recruiter @ Ztek Consulting

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Principal Full-Stack AI Engineer

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