AI Solutions Architect-Need W2 -Any Visa fine-Remote

Overview

Remote

$60+

Part Time

Skills

We are seeking an accomplished AI Solutions Architect with deep hands-on experience in designing

orchestrating

and delivering intelligent agent-based AI solutions utilizing Agentic AI and Agentic Workflows and cutting-edge LLMs. In this strategic role

youwill architect

implement

and optimize advanced AI systems that leverage agentic design patterns driving innovation and delivering tangible business value across industries.You will act as a technical leader and trusted advisor

collaborating with product

business

and engineering teams to bring agent-driven AI products from concept to enterprise production.We are building a cutting-edge Agentic Workflow Solution focused on TDM Circuit Disconnect Validation. In this role

you will serve as the key architect

working hands-on within a small

so prior experience working with telecom networks

network data

or similar systems is highly advantageous. Strong client-facing skills are essential

as you will participate directly in design and discovery calls with our clients to help shape and refine the solution. This position offers a unique opportunity to blend technical expertise with architecture and stakeholder engagement in a dynamic telecom environment.Key ResponsibilitiesAI Agentic Architecture: Architect and lead the development of intelligent agent-based AI solutions using Azure AI (Azure OpenAI

Azure Cognitive Services

Azure ML) and a variety of LLMs (OLAMA

OpenAI

Anthropic Claude

Google Gemini

etc.)

utilizing Model Context Protocol (MCP) for dynamic context management.Framework Development: Design and implement robust solutions that leverage best of breed technology for managing

and orchestrating model context across agents and LLMs

ensuring continuity and context-awareness in AI-driven workflows.Agent Orchestration & LLM Integration: Develop systems in which multiple autonomous AI agents interact and collaborate

integrating with LLMs and generative AI models to solve complex

multi-step business problems.Full Solution Delivery: Lead the end-to-end lifecycleincluding use case identification

agent and context modeling

LLM integration

deployment

monitoring

and iterative optimization.Innovation & Best Practices: Champion state-of-the-art approaches in agentic AI

prompt engineering

and responsible AI; stay ahead of trends in MCP and multi-agent systems.Cross-Functional Collaboration: Work closely with business

product

and engineering teams to translate business challenges into actionable agentic AI and MCP-enabled solutions.Technical Leadership: Mentor and guide engineering and product teams on agentic architectures

accelerating organizational AI maturity.Documentation & Communication: Deliver clear technical documentation

architecture diagrams

and presentations for technical and executive audiences.QualificationsRequired:10+ years of technology experience

with at least 4+ years as an AI architect or senior AI engineer.Hands-on expertise architecting and deploying agentic AI systems with Azure AI services and multiple LLMs (OLAMA

etc.).Deep understanding and practical experience with context-driven AI architecture.Advanced programming skills in Python

and familiarity with agent orchestration frameworks and ML/AI libraries.Proven experience delivering production-grade

agent-based AI solutions

including LLM integration and context management.Strong grasp of AI/ML infrastructure

security

and compliance (Azure preferred).Outstanding communication skills for both technical and business stakeholders.Preferred:Certifications in Azure AI

containerization

and scalable AI system deployment.Exposure to responsible AI frameworks and compliance for agentic/multi-agent systems.

Job Details

AI Solutions Architect

Client- AT&T - Need ppl on our W2 - any visa ok
Location: remote

We are seeking an accomplished AI Solutions Architect with deep hands-on experience in designing, orchestrating, and delivering intelligent agent-based AI solutions utilizing Agentic AI and Agentic Workflows and cutting-edge LLMs. In this strategic role, you
will architect, implement, and optimize advanced AI systems that leverage agentic design patterns driving innovation and delivering tangible business value across industries.
You will act as a technical leader and trusted advisor, collaborating with product, business, and engineering teams to bring agent-driven AI products from concept to enterprise production.
We are building a cutting-edge Agentic Workflow Solution focused on TDM Circuit Disconnect Validation. In this role, you will serve as the key architect, working hands-on within a small, collaborative team. You ll be deeply involved in both the code and the design/architecture of the solution. Our data revolves around legacy TDM circuits and related network information, so prior experience working with telecom networks, network data, or similar systems is highly advantageous.
Strong client-facing skills are essential, as you will participate directly in design and discovery calls with our clients to help shape and refine the solution. This position offers a unique opportunity to blend technical expertise with architecture and stakeholder engagement in a dynamic telecom environment.
Key Responsibilities
AI Agentic Architecture: Architect and lead the development of intelligent agent-based AI solutions using Azure AI (Azure OpenAI, Azure Cognitive Services, Azure ML) and a variety of LLMs (OLAMA, OpenAI, Anthropic Claude, Google Gemini, etc.), utilizing Model Context Protocol (MCP) for dynamic context management.
Framework Development: Design and implement robust solutions that leverage best of breed technology for managing, sharing, and orchestrating model context across agents and LLMs, ensuring continuity and context-awareness in AI-driven workflows.
Agent Orchestration & LLM Integration: Develop systems in which multiple autonomous AI agents interact and collaborate, integrating with LLMs and generative AI models to solve complex, multi-step business problems.
Full Solution Delivery: Lead the end-to-end lifecycle including use case identification, agent and context modeling, LLM integration, deployment, monitoring, and iterative optimization.
Innovation & Best Practices: Champion state-of-the-art approaches in agentic AI, prompt engineering, and responsible AI; stay ahead of trends in MCP and multi-agent systems.
Cross-Functional Collaboration: Work closely with business, product, and engineering teams to translate business challenges into actionable agentic AI and MCP-enabled solutions.
Technical Leadership: Mentor and guide engineering and product teams on agentic architectures, accelerating organizational AI maturity.
Documentation & Communication: Deliver clear technical documentation, architecture diagrams, and presentations for technical and executive audiences.
Qualifications
Required:
10+ years of technology experience, with at least 4+ years as an AI architect or senior AI engineer.
Hands-on expertise architecting and deploying agentic AI systems with Azure AI services and multiple LLMs (OLAMA, OpenAI, Anthropic Claude, etc.).
Deep understanding and practical experience with context-driven AI architecture.
Advanced programming skills in Python, and familiarity with agent orchestration frameworks and ML/AI libraries.
Proven experience delivering production-grade, agent-based AI solutions, including LLM integration and context management.
Strong grasp of AI/ML infrastructure, security, and compliance (Azure preferred).
Outstanding communication skills for both technical and business stakeholders.
Preferred:
Certifications in Azure AI, OpenAI, or related technologies.
Experience operationalizing agentic and MCP-based solutions at enterprise scale.
Familiarity with DevOps/MLOps, containerization, and scalable AI system deployment.
Exposure to responsible AI frameworks and compliance for agentic/multi-agent systems.

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Job Details

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