Search Jobs | Dice.com

147 results (6 new)

Group by company

AI Application Architect

VST Consulting, Inc

California City, California • Yesterday

Easy Apply

Full-time

Depends on Experience

AI Application Engineer

VST Consulting, Inc

California City, California • Today

Easy Apply

Full-time

Depends on Experience

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home - M

Next Step Systems

Remote • Today

Easy Apply

Full-time

$130,000 - $175,000

AI Application Engineer (Agentic Frameworks)

Kforce Technology Staffing

Remote or Phoenix, Arizona • Today

Contract

$55.55 - $63.98 hourly

Application Architect I

Computer Services Inc.

Remote • Today

Full-time

Data Solutions AI Application Developer III

CareSource

Remote or Dayton, Ohio • Today

Full-time

USD 94,100.00 - 164,800.00 per year

Application Architect

Ascensus

Remote or Kansas • Today

Full-time

Application Architect

Ascensus

Remote or Pennsylvania • Today

Full-time

AI Solution Architect

Techgroup America Inc.

Remote • 5d ago

Easy Apply

Contract

Depends on Experience

AI Architect

Brooksource

Remote • Today

Contract

$80.00 - $92.00

AI Architect

Keypixel Software Solutions

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

AI Architect

Solventum

Remote or Pittsburgh, Pennsylvania • Today

Full-time

USD 184,400.00 - 253,550.00 per year

AI Architect

Intraedge

Remote • 7d ago

Easy Apply

Contract, Third Party

Depends on Experience

Ai Architect

Sriven Systems Inc.

Remote • Today

Easy Apply

Contract

$80 - $90

Applied AI Solutions Architect

phData

Remote • Today

Full-time

Enterprise AI Architect

Thinkbyte Consulting, Inc.

Remote • Today

Contract

Depends on Experience

Information Security Analyst (App Security & AI Security)

BlueScope Buildings North America, Inc.

Remote or Ohio • Today

Full-time

Lead AI Application Security Engineer

GXO Logistics

Remote or North Carolina • Today

Full-time

AI Architect

Robert Half

Remote or Edina, Minnesota • Today

Easy Apply

Full-time

USD 200,000.00 - 250,000.00 per year

AI Architect

ServiceNow, Inc.

Remote or Addison, Texas • Today

Full-time

USD 199,100.00 - 348,400.00 per year

AI Architect

ServiceNow, Inc.

Remote or New York, New York • Today

Full-time

USD 221,200.00 - 387,100.00 per year

AI Architect

ServiceNow, Inc.

Remote or Chicago, Illinois • Today

Full-time

USD 199,100.00 - 348,400.00 per year

AI Solutions Architect

Par Technology Corporation

Remote or New York, New York • Today

Full-time

USD 140,000.00 - 160,000.00 per year

Senior Principal Ai Architect W/ Healthcare IT experience(Must)

Balin Technologies LLC

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

AI Architect

Stride, Inc

Remote • Today

Full-time

USD 113,073.75 - 200,000.00 per year

AI Platform Architect

CACI International, Inc.

Remote • Today

Full-time

USD 114,600.00 - 252,100.00 per year

AWS AI Architect - Remote 15+ years

Techaffinity Consulting

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Architect ML - AI Researcher

Quantiphi Inc.

Remote • Today

Full-time

Principal AI Engineering Architect

Robots and Pencils

Remote • Today

Full-time

USD 180,375.00 - 230,625.00 per year

Principal AI Architect | Remote

MetaRPO

Remote • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Job Details

Skills

AI Application Architect
AI Architect
AI Solution Architect
AI Architecture
Enterprise AI Architecture
AI Application Design
Generative AI
Agentic AI
AI Agents
LLM
Large Language Models
Foundation Models
Python
Python 3.12
Asynchronous Programming
REST APIs
LangChain
LangGraph
Strands
Multi-Agent Systems
Multi-Agent Orchestration
Agent-to-Agent (A2A)
A2A 1.0
a2a-sdk
Model Context Protocol (MCP)
MCP Clients
MCP Servers
Tool Calling
Prompt Engineering
Structured Outputs
Context Management
LLM Response Validation
Amazon Bedrock
Amazon Bedrock AgentCore
AgentCore Runtime
AgentCore Gateway
AgentCore Observability
AWS
Amazon S3
AWS Secrets Manager
Amazon CloudWatch
PostgreSQL
Task Persistence
Agent State Management
Idempotency
Distributed Systems
Distributed Tracing
OpenTelemetry
Microservices
Cloud-Native Architecture
Event-Driven Architecture
Asynchronous Workflows
API Architecture
Enterprise Integration
High Availability
Scalability
Security Architecture
AI Governance
AI Guardrails
RAG
Retrieval-Augmented Generation
LLM Evaluation
Docker
Kubernetes
CI/CD
MLOps
pytest
Unit Testing
Integration Testing
Contract Testing
HashiCorp
Technical Architecture
Solution Design
Architecture Governance
Technical Leadership
Enterprise Architecture

AI Application Architect
AI Architect
AI Solution Architect
AI Architecture
Enterprise AI Architecture
AI Application Design
Generative AI
Agentic AI
AI Agents
LLM
Large Language Models
Foundation Models
Python
Python 3.12
Asynchronous Programming
REST APIs
LangChain
LangGraph
Strands
Multi-Agent Systems
Multi-Agent Orchestration
Agent-to-Agent (A2A)
A2A 1.0
a2a-sdk
Model Context Protocol (MCP)
MCP Clients
MCP Servers
Tool Calling
Prompt Engineering
Structured Outputs
Context Management
LLM Response Validation
Amazon Bedrock
Amazon Bedrock AgentCore
AgentCore Runtime
AgentCore Gateway
AgentCore Observability
AWS
Amazon S3
AWS Secrets Manager
Amazon CloudWatch
PostgreSQL
Task Persistence
Agent State Management
Idempotency
Distributed Systems
Distributed Tracing
OpenTelemetry
Microservices
Cloud-Native Architecture
Event-Driven Architecture
Asynchronous Workflows
API Architecture
Enterprise Integration
High Availability
Scalability
Security Architecture
AI Governance
AI Guardrails
RAG
Retrieval-Augmented Generation
LLM Evaluation
Docker
Kubernetes
CI/CD
MLOps
pytest
Unit Testing
Integration Testing
Contract Testing
HashiCorp
Technical Architecture
Solution Design
Architecture Governance
Technical Leadership
Enterprise Architecture

Summary

Role Name: AI Application Architect
Location: California City, CA ( Onsite ) Local Candidates Only
Visa : GC
Job Type: Full Time
Experience: 16+ Years
Interview Mode: Virtual
Pay Rate: Based on Experience

Job Description:

We are seeking a highly experienced AI Application Architect to architect, design, and guide the development of enterprise-grade AI agent applications and intelligent enterprise solutions. The ideal candidate will have 16+ years of software/application architecture experience with strong hands-on expertise in AI/LLM technologies, agentic frameworks, Python, AWS, distributed systems, and cloud-native architectures.

The AI Application Architect will be responsible for defining technical architecture, integration patterns, security standards, scalability strategies, and implementation approaches for production-ready AI agents and enterprise tool integrations.

Key Responsibilities:

Define and lead the architecture and technical design of enterprise-grade AI agent applications.
Collaborate with business, product, engineering, security, and cloud teams to define AI solution requirements, architecture, integration patterns, and implementation strategies.
Design orchestration agents and domain-specific agents using Python 3.12, LangChain, LangGraph, or Strands.
Architect solutions integrating LLMs and foundation models for reasoning, structured responses, tool calling, and workflow execution.
Define architecture and deployment strategies for AI agents using Amazon Bedrock AgentCore Runtime.
Architect agent-to-agent communication using A2A 1.0 and the official Python a2a-sdk.
Design secure agent-to-tool integrations using Model Context Protocol (MCP) and Amazon Bedrock AgentCore Gateway.
Define data architecture using PostgreSQL for task persistence, workflow status, agent state, and idempotency management.
Architect secure document and artifact management using Amazon S3 and credential management through AWS Secrets Manager.
Define observability architecture using AgentCore Observability, OpenTelemetry, and Amazon CloudWatch.
Establish standards for logging, metrics, distributed tracing, monitoring, security, scalability, and reliability of AI applications.
Define testing strategies covering unit, integration, A2A contract, performance, and end-to-end testing using tools such as pytest.
Evaluate emerging AI technologies, agentic frameworks, protocols, and cloud services for enterprise adoption.
Establish architecture standards, reusable patterns, technical guidelines, and best practices for AI application development.
Provide technical leadership and mentorship to AI engineers and development teams.
Review architecture, source code, integration designs, and implementation approaches to ensure alignment with enterprise standards.
Troubleshoot complex architectural and production issues involving AI applications, distributed systems, APIs, cloud infrastructure, and integrations.

Qualifications:

Experience: 16+ years of experience in software engineering, application architecture, solution architecture, or related technology roles, with significant experience designing enterprise applications.
AI & LLM Architecture: Proven experience architecting AI applications and integrating LLMs/foundation models with enterprise systems.
Python Engineering: Strong proficiency in Python 3.12+, asynchronous programming, API development, and object-oriented design.
Agentic AI: Hands-on architecture experience with LangChain, LangGraph, Strands, or similar agentic AI frameworks.
Prompt Engineering: Strong understanding of prompt engineering, tool calling, structured outputs, context management, and LLM response validation.
Cloud & APIs: Strong experience with AWS services, REST APIs, relational databases, and cloud-native application architecture.
Architecture: Strong understanding of multi-agent orchestration, distributed systems, event-driven architecture, task persistence, asynchronous workflows, scalability, and high availability.
Enterprise Integration: Experience designing integrations between AI agents, enterprise applications, APIs, databases, and external tools.
Security: Strong understanding of secure AI application architecture, authentication, authorization, secrets management, data protection, and enterprise security standards.
Leadership: Strong technical leadership, architecture governance, problem-solving, communication, and cross-functional collaboration skills.
Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related field.

Preferred Skills:

AWS Bedrock Stack: Experience architecting solutions using Amazon Bedrock, AgentCore Runtime, AgentCore Gateway, and AgentCore Observability.
Protocols & MCP: Strong knowledge of A2A protocols, MCP clients and servers, and enterprise tool integration.
Infrastructure & Tools: Experience with PostgreSQL, Amazon S3, AWS Secrets Manager, OpenTelemetry, CloudWatch, HashiCorp, and pytest.
Production Architecture: Experience architecting secure, scalable, highly available, and production-grade AI applications.
DevOps & MLOps: Experience with Docker, Kubernetes, CI/CD pipelines, RAG, LLM evaluation, AI guardrails, and cloud-native deployment.
Experience designing multi-agent systems and agent orchestration architectures.
Experience with AI governance, responsible AI, observability, model evaluation, and enterprise AI security.
Experience working with large-scale distributed systems and high-volume enterprise applications.

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: 10202400
Position Id: 9092485
Posted 1 day 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

Dolly Gupta

Recruiter @ VST Consulting, Inc

View Profile

Create job alert

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

Similar Jobs

AI Application Engineer

California City, California

•

Today

Role Name: AI Application Engineer Location: California City,CA ( Onsite ) / Local to CA Location Experience : 10+ Visa: Any Visa is fine Contract : 1099 Contract, NO C2C Accepted Job Type: Full Time Interview Mode: Virtual Pay Rate: Based on Experience Job Description: We are seeking a highly skilled AI Application Engineer to design, develop, and integrate enterprise-grade AI agent applications. The ideal candidate will have hands-on experience working with large language models (LLMs), agenti

Easy Apply

Full-time

Depends on Experience

Ai Architect

Remote

•

Today

Title: Ai Architect location: Remote Key ResponsibilitiesDesign, develop, and deploy AI-powered applications and services.Build enterprise AI solutions using Amazon Bedrock and Mantel Bedrock.Develop Agentic AI workflows using CrewAI, LangChain, and other orchestration frameworks.Build AI-powered coding and automation solutions using Codex, Claude Code, and similar tools.Deploy and manage local/private AI models using Ollama.Integrate LLMs, APIs, vector databases, and enterprise data sources.Dev

Easy Apply

Contract

$80 - $90

Senior Solution AI Architect

Remote

•

Today

seeking an experienced Senior Solution AI Architect to lead the architecture, design, and implementation of enterprise-grade AI and Generative AI solutions. The ideal candidate will have deep expertise in Generative AI, Large Language Models (LLMs), AI agents, RAG, cloud AI platforms, and enterprise solution architecture. This position requires a hands-on technology leader who can translate business requirements into scalable, secure, and production-ready AI solutions. Key ResponsibilitiesArchit

Easy Apply

Full-time

Depends on Experience

AI Architect

Los Angeles, California

•

Today

OrangePeople is looking for an experienced and forward-thinking AI Architect to help customers move from basic AI experimentation to a governed, scalable, and measurable AI engineering capability. This role is ideal for someone who understands enterprise architecture, Generative AI, AI agents, coding assistants, DevOps, governance, platform engineering, and software delivery transformation. The AI Architect will design AI-powered engineering frameworks, build reusable agent capabilities, automat

Easy Apply

Contract

Job Details

Skills

AI Application Architect
AI Architect
AI Solution Architect
AI Architecture
Enterprise AI Architecture
AI Application Design
Generative AI
Agentic AI
AI Agents
LLM
Large Language Models
Foundation Models
Python
Python 3.12
Asynchronous Programming
REST APIs
LangChain
LangGraph
Strands
Multi-Agent Systems
Multi-Agent Orchestration
Agent-to-Agent (A2A)
A2A 1.0
a2a-sdk
Model Context Protocol (MCP)
MCP Clients
MCP Servers
Tool Calling
Prompt Engineering
Structured Outputs
Context Management
LLM Response Validation
Amazon Bedrock
Amazon Bedrock AgentCore
AgentCore Runtime
AgentCore Gateway
AgentCore Observability
AWS
Amazon S3
AWS Secrets Manager
Amazon CloudWatch
PostgreSQL
Task Persistence
Agent State Management
Idempotency
Distributed Systems
Distributed Tracing
OpenTelemetry
Microservices
Cloud-Native Architecture
Event-Driven Architecture
Asynchronous Workflows
API Architecture
Enterprise Integration
High Availability
Scalability
Security Architecture
AI Governance
AI Guardrails
RAG
Retrieval-Augmented Generation
LLM Evaluation
Docker
Kubernetes
CI/CD
MLOps
pytest
Unit Testing
Integration Testing
Contract Testing
HashiCorp
Technical Architecture
Solution Design
Architecture Governance
Technical Leadership
Enterprise Architecture

AI Application Architect
AI Architect
AI Solution Architect
AI Architecture
Enterprise AI Architecture
AI Application Design
Generative AI
Agentic AI
AI Agents
LLM
Large Language Models
Foundation Models
Python
Python 3.12
Asynchronous Programming
REST APIs
LangChain
LangGraph
Strands
Multi-Agent Systems
Multi-Agent Orchestration
Agent-to-Agent (A2A)
A2A 1.0
a2a-sdk
Model Context Protocol (MCP)
MCP Clients
MCP Servers
Tool Calling
Prompt Engineering
Structured Outputs
Context Management
LLM Response Validation
Amazon Bedrock
Amazon Bedrock AgentCore
AgentCore Runtime
AgentCore Gateway
AgentCore Observability
AWS
Amazon S3
AWS Secrets Manager
Amazon CloudWatch
PostgreSQL
Task Persistence
Agent State Management
Idempotency
Distributed Systems
Distributed Tracing
OpenTelemetry
Microservices
Cloud-Native Architecture
Event-Driven Architecture
Asynchronous Workflows
API Architecture
Enterprise Integration
High Availability
Scalability
Security Architecture
AI Governance
AI Guardrails
RAG
Retrieval-Augmented Generation
LLM Evaluation
Docker
Kubernetes
CI/CD
MLOps
pytest
Unit Testing
Integration Testing
Contract Testing
HashiCorp
Technical Architecture
Solution Design
Architecture Governance
Technical Leadership
Enterprise Architecture

Summary

Job Description:

Key Responsibilities:

Define and lead the architecture and technical design of enterprise-grade AI agent applications.
Collaborate with business, product, engineering, security, and cloud teams to define AI solution requirements, architecture, integration patterns, and implementation strategies.
Design orchestration agents and domain-specific agents using Python 3.12, LangChain, LangGraph, or Strands.
Architect solutions integrating LLMs and foundation models for reasoning, structured responses, tool calling, and workflow execution.
Define architecture and deployment strategies for AI agents using Amazon Bedrock AgentCore Runtime.
Architect agent-to-agent communication using A2A 1.0 and the official Python a2a-sdk.
Design secure agent-to-tool integrations using Model Context Protocol (MCP) and Amazon Bedrock AgentCore Gateway.
Define data architecture using PostgreSQL for task persistence, workflow status, agent state, and idempotency management.
Architect secure document and artifact management using Amazon S3 and credential management through AWS Secrets Manager.
Define observability architecture using AgentCore Observability, OpenTelemetry, and Amazon CloudWatch.
Establish standards for logging, metrics, distributed tracing, monitoring, security, scalability, and reliability of AI applications.
Define testing strategies covering unit, integration, A2A contract, performance, and end-to-end testing using tools such as pytest.
Evaluate emerging AI technologies, agentic frameworks, protocols, and cloud services for enterprise adoption.
Establish architecture standards, reusable patterns, technical guidelines, and best practices for AI application development.
Provide technical leadership and mentorship to AI engineers and development teams.
Review architecture, source code, integration designs, and implementation approaches to ensure alignment with enterprise standards.
Troubleshoot complex architectural and production issues involving AI applications, distributed systems, APIs, cloud infrastructure, and integrations.

Qualifications:

Experience: 16+ years of experience in software engineering, application architecture, solution architecture, or related technology roles, with significant experience designing enterprise applications.
AI & LLM Architecture: Proven experience architecting AI applications and integrating LLMs/foundation models with enterprise systems.
Python Engineering: Strong proficiency in Python 3.12+, asynchronous programming, API development, and object-oriented design.
Agentic AI: Hands-on architecture experience with LangChain, LangGraph, Strands, or similar agentic AI frameworks.
Prompt Engineering: Strong understanding of prompt engineering, tool calling, structured outputs, context management, and LLM response validation.
Cloud & APIs: Strong experience with AWS services, REST APIs, relational databases, and cloud-native application architecture.
Architecture: Strong understanding of multi-agent orchestration, distributed systems, event-driven architecture, task persistence, asynchronous workflows, scalability, and high availability.
Enterprise Integration: Experience designing integrations between AI agents, enterprise applications, APIs, databases, and external tools.
Security: Strong understanding of secure AI application architecture, authentication, authorization, secrets management, data protection, and enterprise security standards.
Leadership: Strong technical leadership, architecture governance, problem-solving, communication, and cross-functional collaboration skills.
Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related field.

Preferred Skills:

AWS Bedrock Stack: Experience architecting solutions using Amazon Bedrock, AgentCore Runtime, AgentCore Gateway, and AgentCore Observability.
Protocols & MCP: Strong knowledge of A2A protocols, MCP clients and servers, and enterprise tool integration.
Infrastructure & Tools: Experience with PostgreSQL, Amazon S3, AWS Secrets Manager, OpenTelemetry, CloudWatch, HashiCorp, and pytest.
Production Architecture: Experience architecting secure, scalable, highly available, and production-grade AI applications.
DevOps & MLOps: Experience with Docker, Kubernetes, CI/CD pipelines, RAG, LLM evaluation, AI guardrails, and cloud-native deployment.
Experience designing multi-agent systems and agent orchestration architectures.
Experience with AI governance, responsible AI, observability, model evaluation, and enterprise AI security.
Experience working with large-scale distributed systems and high-volume enterprise applications.

Dice Id: 10202400
Position Id: 9092485
Posted 1 day 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

Dolly Gupta

Recruiter @ VST Consulting, Inc

View Profile

Create job alert

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

Similar Jobs

AI Application Engineer

California City, California

•

Today

Easy Apply

Full-time

Depends on Experience

Ai Architect

Remote

•

Today

Easy Apply

Contract

$80 - $90

Senior Solution AI Architect

Remote

•

Today

Easy Apply

Full-time

Depends on Experience

AI Architect

Los Angeles, California

•

Today

Easy Apply

Contract