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AI Architect - Remote

Lightning Minds Inc.

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

AWS AI Architect - Remote 15+ years

Techaffinity Consulting

Remote • 4d ago

Easy Apply

Contract, Third Party

Depends on Experience

Staff AI Architect, Remote

Experian

Remote • Today

Full-time

USD 115,747.00 - 208,344.00 per year

Principal AI Architect - Remote

Paradigm

Remote or Lombard, Illinois • Today

Full-time

USD 125,000.00 per year

Agentic AI Engineering Architect (Remote -US)

OMG Technologies

Remote • 17d ago

Easy Apply

Contract

Depends on Experience

Sr. Solutions Architect AI- Remote

Calance

Remote or Bolingbrook, Illinois • Today

Full-time

160-200K

Solutions Architect - AI/ AI Integration Architect || Remote

Apetan Consulting

Remote • 3d ago

Easy Apply

Contract, Third Party

$70 - $100

AI Architect - Senior AI Engineer - Agentic Systems (Remote)

NTT DATA, Inc.

Remote or Plano, Texas • Today

Full-time

USD 122,648.00 - 283,906.00 per year

AI Solutions Architect (GenAI & Enterprise AI Strategy) || Remote

Talent Vista Partners Inc

Remote • 11d ago

Third Party, Contract

$100 - $110

Architect Data Engineer - AI Platforms || Remote

Vbeyond Corporation

No location provided • 5d ago

Easy Apply

Full-time, Contract

Domain Architect - AI/Domain Architect – Data, Analytics & AI || Remote

Apetan Consulting

Remote • 3d ago

Easy Apply

Contract, Third Party

$70 - $100

Staff Platform Architect, Data & AI (Remote)

Experian

Remote • Today

Full-time

USD 133,109.00 - 239,596.00 per year

Product Architect (Finance, AI Driven Workflows)- 100% Remote - 12 Months C2H

Accion Labs

Remote • 21d ago

Easy Apply

Contract, Third Party

Depends on Experience

AI ML Ops Enterprise Architect at ONSITE- Woodland Hills, CA or Remote

Cynosure Technologies LLC

Remote • 5d ago

Easy Apply

Third Party, Contract

Depends on Experience

Principal Architect, Information Systems - Provider Horizontal Application Portfolio/AI Implementations - Remote

Molina Healthcare

Remote • Today

Full-time

USD 105,958.12 - 229,575.94 per year

GenAI Solutions Architect- Remote -Contract

Lorven Technologies, Inc.

Remote • 30+d ago

Easy Apply

Contract, Third Party

$100 - $110

Remote: Security Architect - Agentic Identity & Access Management

J-RAM IT Consulting Inc.

Remote • 6d ago

Easy Apply

Third Party, Contract

Depends on Experience

Workday Architect-Remote

mProgen

Remote • Today

Easy Apply

Contract

Depends on Experience

Solution Architect (Remote)

SymphonyAI

Remote or New York, New York • 3d ago

Full-time

HCM Architect - Remote

Kforce Technology Staffing

Nashville, Tennessee • Today

Third Party, Contract

$80 - $90 hourly

AI infrastructure Engineer / AI Lab Technical Engineer :: Remote

Triunity Software

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Enterprise Architect - Infrastructure Advisory _ remote in the US

Mirantis Inc

Remote • Today

Full-time

Cloud Application Architect (Node.js and React.js) - Remote

General Dynamics

Remote • Today

Full-time

USD 195,240.00 - 264,148.00 per year

AI Agent Development (ADK) Remote

HMG America

Remote • Today

Easy Apply

Full-time, Third Party, Contract

$DOE

Solutions Architect (Remote)

J VERS LLC

Remote • Today

Full-time

USD 130,000.00 - 135,000.00 per year

Senior Agentic AI Developer - Remote

Emergere Technologies

Remote • 5d ago

Easy Apply

Contract, Third Party

Depends on Experience

Lead AI Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI Engineer- Remote

UnitedHealth Group

Remote or Richardson, Texas • Today

Full-time

USD 112,700.00 - 193,200.00 per year

MuleSoft Architect (Remote)

Two95 International

Remote • Today

Easy Apply

Contract

Depends on Experience

Agentic Data Platform Architect | Remote

Tror

Remote • Today

Easy Apply

Contract, Third Party

$50 - $52

Job Details

Skills

AI Architect
Architect
A/B Testing
API
Amazon Web Services
Artificial Intelligence
Auditing
Authentication
Authorization
Build Vs Buy
Business Continuity Planning
Caching
Change Management
Cloud Architecture
Cloud Computing
Cloud Security
Communication
Computer Networking
Continuous Delivery
Continuous Integration
Data Centers
Database
Disaster Recovery
Documentation
Dynatrace
Enterprise Architecture
FOCUS
Failover
Good Clinical Practice
Google Cloud Platform
HIPAA
High Availability
Hosting
IDPS
IT Management
IaaS
Leadership
Load Balancing
Lua
Machine Learning (ML)
Management
Mentorship
Microservices
Microsoft
Microsoft Azure
Microsoft Certified Professional
Open Source
Orchestration
Privacy
Provisioning
Python
Reasoning
Regulatory Compliance
Release Management
Roadmaps
Routing
SaaS
Semantics
Servers
Solution Architecture

AI Architect
Architect
A/B Testing
API
Amazon Web Services
Artificial Intelligence
Auditing
Authentication
Authorization
Build Vs Buy
Business Continuity Planning
Caching
Change Management
Cloud Architecture
Cloud Computing
Cloud Security
Communication
Computer Networking
Continuous Delivery
Continuous Integration
Data Centers
Database
Disaster Recovery
Documentation
Dynatrace
Enterprise Architecture
FOCUS
Failover
Good Clinical Practice
Google Cloud Platform
HIPAA
High Availability
Hosting
IDPS
IT Management
IaaS
Leadership
Load Balancing
Lua
Machine Learning (ML)
Management
Mentorship
Microservices
Microsoft
Microsoft Azure
Microsoft Certified Professional
Open Source
Orchestration
Privacy
Provisioning
Python
Reasoning
Regulatory Compliance
Release Management
Roadmaps
Routing
SaaS
Semantics
Servers
Solution Architecture

Summary

Role Summary

We are seeking an experienced AI Architect to design, govern, and scale enterprise-grade agentic AI solutions across hybrid and multi-cloud environments. The ideal candidate will bring deep expertise in architecting distributed AI systems that span on-premises infrastructure and multiple public clouds (AWS, Azure, Google Cloud Platform), with a strong focus on AI Gateway design, agent orchestration, model interoperability, and secure, compliant AI deployment at scale. This role sits at the intersection of enterprise architecture, cloud infrastructure, and applied AI translating business needs into resilient, secure, and cost-efficient AI platforms that support autonomous agents, LLM-powered applications, and multi-model workflows.

Key Responsibilities

Architecture & Design

Design end-to-end architecture for agentic AI systems (multi-agent orchestration, tool-use frameworks, memory/state management, planning and reasoning loops) deployed across hybrid and multi-cloud environments.
Architect and implement an AI Gateway layer to unify access to multiple LLM/model providers (OpenAI, Anthropic, Google, open-source models, self-hosted models) with centralized routing, rate limiting, load balancing, caching, and failover.
Define reference architectures for hybrid cloud AI deployments, balancing workloads across on-prem, private cloud, and public cloud (AWS/Azure/Google Cloud Platform) based on data residency, latency, cost, and compliance requirements.
Establish patterns for model orchestration, agent-to-agent communication, and tool/function calling across distributed systems.
Design for interoperability across cloud-native AI services (Bedrock, Azure AI Foundry, Microsoft Co-pilot)
Integrating MCP Registry, governance of Agent Registry
Microsoft EntraID as identity provider for MCP authentication
Integrating AI gateway with AWS Valkey cache and other vector / RAG databases
Specific implementation experience of Kong AI gateway with plug-in based architecture, ability create plug-ins using Lua script or Python
Observability integration with Dynatrace for agents and AI gateway telemetry; Splunk integration for audit logs

AI Gateway & Governance

Own the strategy and implementation of the AI Gateway as the control plane for all AI/LLM traffic including authentication, authorization, usage metering, cost governance, PII/data redaction, prompt/response logging, and audit trails.
Implement guardrails for model governance: version control, A/B testing, fallback routing, semantic caching, and observability across multiple model providers.
Define policies for responsible AI, data privacy, and security across the gateway and agentic workflows, ensuring compliance with regulatory frameworks (GDPR, SOC 2, HIPAA, etc. as applicable).

Multi-Cloud & Infrastructure

Architect resilient, scalable, and cost-optimized infrastructure spanning multiple cloud providers and on-prem data centers.
Drive infrastructure-as-code practices (Terraform, Pulumi) for consistent multi-cloud provisioning of AI/ML infrastructure.
Evaluate and integrate vector databases, feature stores, and RAG pipelines across hybrid environments.
Ensure high availability, disaster recovery, and business continuity for mission-critical agentic AI applications.

Leadership & Collaboration

Partner with engineering, product, security, and data teams to align AI architecture with business objectives.
Provide technical leadership and mentorship to AI/ML engineers and platform teams.
Evaluate emerging tools, frameworks, and vendors in the agentic AI and AI infrastructure ecosystem (e.g., MCP Registry, Kong AI Gateway, Agent365).
Create architecture documentation, design standards, and best practices to guide organization-wide AI adoption.
Act as a trusted advisor to leadership on AI platform strategy, build-vs-buy decisions, and technology roadmaps.
Setup Operating model to operate and govern AI gateway usage enterprise-wide
Scalability, hosting topology, define centralized vs federated model
Deployment architecture, change management, release management and incident management
Alignment with United AI governance Framework for agentic systems
Integrate skills, tools, MCP servers - internal or SaaS vendor source

Required Qualifications

8+ years of experience in software/solutions architecture, with 3+ years focused on AI/ML systems.
Proven hands-on experience architecting agentic AI systems multi-agent frameworks, autonomous workflows, tool/function calling, and orchestration.
Strong expertise in hybrid and multi-cloud architecture (AWS, Azure, Google Cloud Platform, and on-premises/private cloud integration).
Demonstrated experience designing or implementing an AI Gateway / LLM Gateway(e.g., Kong, custom-built gateways) for managing multi-model access, routing, rate limiting, and observability.
Deep understanding of LLM ecosystems (OpenAI, Anthropic, open-source models) and model serving infrastructure.
Experience with RAG architectures, vector databases (e.g.Milvus, pgvector), and knowledge retrieval systems.
Solid grounding in API design, microservices, event-driven architecture, and distributed systems.
Strong knowledge of cloud security, IAM, networking, and compliance frameworks across multi-cloud environments (IDPs like EntraID and Ping.
Proficiency with infrastructure-as-code (Terraform/Harness, DeclarativeKong), CI/CD pipelines, and observability tooling (Splunk, DynaTrace).
Programming proficiency in Python (required).

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: 10339744
Position Id: 9071731
Posted 3 hours ago

Fitment

Dice Job Match Score™

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Principal AI Engineering Architect

Remote

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Principal AI Engineering Architect We're looking for a Principal AI Engineering Architect to lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI - with deep, hands-on mastery of multi-agent agentic AI solutions. This role is ideal for a deeply experienced engineer who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice on the engagements they support, while also being able to roll up their sleeves a

Full-time

USD 180,375.00 - 230,625.00 per year

Job Details

Skills

AI Architect
Architect
A/B Testing
API
Amazon Web Services
Artificial Intelligence
Auditing
Authentication
Authorization
Build Vs Buy
Business Continuity Planning
Caching
Change Management
Cloud Architecture
Cloud Computing
Cloud Security
Communication
Computer Networking
Continuous Delivery
Continuous Integration
Data Centers
Database
Disaster Recovery
Documentation
Dynatrace
Enterprise Architecture
FOCUS
Failover
Good Clinical Practice
Google Cloud Platform
HIPAA
High Availability
Hosting
IDPS
IT Management
IaaS
Leadership
Load Balancing
Lua
Machine Learning (ML)
Management
Mentorship
Microservices
Microsoft
Microsoft Azure
Microsoft Certified Professional
Open Source
Orchestration
Privacy
Provisioning
Python
Reasoning
Regulatory Compliance
Release Management
Roadmaps
Routing
SaaS
Semantics
Servers
Solution Architecture

AI Architect
Architect
A/B Testing
API
Amazon Web Services
Artificial Intelligence
Auditing
Authentication
Authorization
Build Vs Buy
Business Continuity Planning
Caching
Change Management
Cloud Architecture
Cloud Computing
Cloud Security
Communication
Computer Networking
Continuous Delivery
Continuous Integration
Data Centers
Database
Disaster Recovery
Documentation
Dynatrace
Enterprise Architecture
FOCUS
Failover
Good Clinical Practice
Google Cloud Platform
HIPAA
High Availability
Hosting
IDPS
IT Management
IaaS
Leadership
Load Balancing
Lua
Machine Learning (ML)
Management
Mentorship
Microservices
Microsoft
Microsoft Azure
Microsoft Certified Professional
Open Source
Orchestration
Privacy
Provisioning
Python
Reasoning
Regulatory Compliance
Release Management
Roadmaps
Routing
SaaS
Semantics
Servers
Solution Architecture

Summary

Role Summary

Key Responsibilities

Architecture & Design

Design end-to-end architecture for agentic AI systems (multi-agent orchestration, tool-use frameworks, memory/state management, planning and reasoning loops) deployed across hybrid and multi-cloud environments.
Architect and implement an AI Gateway layer to unify access to multiple LLM/model providers (OpenAI, Anthropic, Google, open-source models, self-hosted models) with centralized routing, rate limiting, load balancing, caching, and failover.
Define reference architectures for hybrid cloud AI deployments, balancing workloads across on-prem, private cloud, and public cloud (AWS/Azure/Google Cloud Platform) based on data residency, latency, cost, and compliance requirements.
Establish patterns for model orchestration, agent-to-agent communication, and tool/function calling across distributed systems.
Design for interoperability across cloud-native AI services (Bedrock, Azure AI Foundry, Microsoft Co-pilot)
Integrating MCP Registry, governance of Agent Registry
Microsoft EntraID as identity provider for MCP authentication
Integrating AI gateway with AWS Valkey cache and other vector / RAG databases
Specific implementation experience of Kong AI gateway with plug-in based architecture, ability create plug-ins using Lua script or Python
Observability integration with Dynatrace for agents and AI gateway telemetry; Splunk integration for audit logs

AI Gateway & Governance

Own the strategy and implementation of the AI Gateway as the control plane for all AI/LLM traffic including authentication, authorization, usage metering, cost governance, PII/data redaction, prompt/response logging, and audit trails.
Implement guardrails for model governance: version control, A/B testing, fallback routing, semantic caching, and observability across multiple model providers.
Define policies for responsible AI, data privacy, and security across the gateway and agentic workflows, ensuring compliance with regulatory frameworks (GDPR, SOC 2, HIPAA, etc. as applicable).

Multi-Cloud & Infrastructure

Architect resilient, scalable, and cost-optimized infrastructure spanning multiple cloud providers and on-prem data centers.
Drive infrastructure-as-code practices (Terraform, Pulumi) for consistent multi-cloud provisioning of AI/ML infrastructure.
Evaluate and integrate vector databases, feature stores, and RAG pipelines across hybrid environments.
Ensure high availability, disaster recovery, and business continuity for mission-critical agentic AI applications.

Leadership & Collaboration

Partner with engineering, product, security, and data teams to align AI architecture with business objectives.
Provide technical leadership and mentorship to AI/ML engineers and platform teams.
Evaluate emerging tools, frameworks, and vendors in the agentic AI and AI infrastructure ecosystem (e.g., MCP Registry, Kong AI Gateway, Agent365).
Create architecture documentation, design standards, and best practices to guide organization-wide AI adoption.
Act as a trusted advisor to leadership on AI platform strategy, build-vs-buy decisions, and technology roadmaps.
Setup Operating model to operate and govern AI gateway usage enterprise-wide
Scalability, hosting topology, define centralized vs federated model
Deployment architecture, change management, release management and incident management
Alignment with United AI governance Framework for agentic systems
Integrate skills, tools, MCP servers - internal or SaaS vendor source

Required Qualifications

8+ years of experience in software/solutions architecture, with 3+ years focused on AI/ML systems.
Proven hands-on experience architecting agentic AI systems multi-agent frameworks, autonomous workflows, tool/function calling, and orchestration.
Strong expertise in hybrid and multi-cloud architecture (AWS, Azure, Google Cloud Platform, and on-premises/private cloud integration).
Demonstrated experience designing or implementing an AI Gateway / LLM Gateway(e.g., Kong, custom-built gateways) for managing multi-model access, routing, rate limiting, and observability.
Deep understanding of LLM ecosystems (OpenAI, Anthropic, open-source models) and model serving infrastructure.
Experience with RAG architectures, vector databases (e.g.Milvus, pgvector), and knowledge retrieval systems.
Solid grounding in API design, microservices, event-driven architecture, and distributed systems.
Strong knowledge of cloud security, IAM, networking, and compliance frameworks across multi-cloud environments (IDPs like EntraID and Ping.
Proficiency with infrastructure-as-code (Terraform/Harness, DeclarativeKong), CI/CD pipelines, and observability tooling (Splunk, DynaTrace).
Programming proficiency in Python (required).

Dice Id: 10339744
Position Id: 9071731
Posted 3 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

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

Similar Jobs

AWS AI Architect - Remote 15+ years

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Senior Technical Architect – Enterprise AI

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Senior Technical Architect Enterprise AI

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