AI Architect -W2 only

NATIONMIND LLC; Pittsburgh (Allegheny County); On-site; USD 135,000 - 180,000; Part time

Job summary

NationMind LLC in Pittsburgh, PA is seeking an experienced AI Architect to lead the design and implementation of AI-enabled AMS and AIOps platforms, shaping enterprise AI architecture and governance. You will drive data contracts, telemetry schemas, and policy controls while coordinating with ITSM, CI/CD, and cloud ecosystems to improve operational efficiency and business outcomes.

Ideal candidates bring 10+ years in enterprise architecture, 5+ years in AI/ML, and deep knowledge of ServiceNow,

Qualifications

• Bachelor's or Master's degree in CS, IT, AI, or related field.
• 10+ years in enterprise architecture, cloud, IT ops, or software engineering.
• 5+ years in AI/ML, AIOps, or automation architecture.
• Strong knowledge of ServiceNow, Jira, CMDB, CI/CD, cloud platforms, and observability tools.
• Experience with LLMs, AI agents, orchestration frameworks, and governance.

Responsibilities

• Define and implement the target architecture for AI-enabled AMS, including telemetry ingestion, unified observability (metrics, logs, traces), event correlation, and signal-driven operations.
• Design a vendor-agnostic AI agent orchestration layer to coordinate AIOps platforms, LLM agents, runbooks, automation tools, and ITSM workflows.
• Develop scalable and resilient AI architectures across cloud, on-premises, edge, and hybrid environments.
• Establish integration patterns with ITSM platforms such as ServiceNow and Jira, collaboration tools, CMDBs, CI/CD pipelines, and cloud monitoring solutions.
• Drive automation strategies for incident management, root cause analysis, remediation, and service operations.
• Create and maintain data contracts and normalized telemetry schemas across applications, infrastructure, cloud, and edge environments.
• Ensure data lineage, quality, consistency, and governance to support AI and analytics initiatives.
• Define policies for data retention, encryption, privacy, access controls, auditability, and regulatory compliance.
• Implement Responsible AI frameworks and governance controls.
• Establish policy validation, bias testing, red-team exercises, safety filters, and human-in-the-loop approval mechanisms for critical AI-driven actions.
• Ensure AI solutions comply with organizational, legal, and ethical requirements.
• Define and evolve emerging AI operations roles, including AI Ops Engineer, Agent Supervisor, Prompt/Runbook Engineer, and Reliability Engineer.
• Collaborate with executive leadership, engineering teams, operations teams, and business stakeholders to align AI initiatives with strategic goals.
• Evaluate emerging AI technologies and recommend adoption strategies.

Skills

Enterprise architecture

Cloud platforms

Observability

AI/ML

LLM agents

Leadership

Stakeholder management

Education

Bachelor's or Master's degree in CS/IT/AI

Tools

ServiceNow

Jira

CMDB

CI/CD

Observability tools

Job description

About NationMind LLC: NationMind LLC is a technology consulting firm focused on Technical Engineering, software development, technicians, QA testing and services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Architect to join our growing team.

Job Title

AI Architect

Location

Pittsburgh, PA (onsite)

Duration

12+ Months contract

Type

W2 only

Overview

• We are seeking an experienced AI Architect to lead the design and implementation of next-generation AI-enabled Application Management Services (AMS) and AIOps platforms.
• The ideal candidate will define enterprise AI architecture, establish data and governance frameworks, and drive the integration of AI, automation, observability, and ITSM ecosystems to improve operational efficiency and business outcomes.

Key Responsibilities

AI & Platform Architecture

• Define and implement the target architecture for AI-enabled AMS, including telemetry ingestion, unified observability (metrics, logs, traces), event correlation, and signal-driven operations.
• Design a vendor-agnostic AI agent orchestration layer to coordinate AIOps platforms, LLM agents, runbooks, automation tools, and ITSM workflows.
• Develop scalable and resilient AI architectures across cloud, on-premises, edge, and hybrid environments.

Integration & Automation

• Establish integration patterns with ITSM platforms such as ServiceNow and Jira, collaboration tools, CMDBs, CI/CD pipelines, and cloud monitoring solutions.
• Enable seamless interoperability between AI services, operational platforms, and enterprise applications.
• Drive automation strategies for incident management, root cause analysis, remediation, and service operations.

Data Architecture & Governance

• Create and maintain data contracts and normalized telemetry schemas across applications, infrastructure, cloud, and edge environments.
• Ensure data lineage, quality, consistency, and governance to support AI and analytics initiatives.
• Define policies for data retention, encryption, privacy, access controls, auditability, and regulatory compliance.

Responsible AI & Risk Management

• Implement Responsible AI frameworks and governance controls.
• Establish policy validation, bias testing, red-team exercises, safety filters, and human-in-the-loop approval mechanisms for critical AI-driven actions.
• Ensure AI solutions comply with organizational, legal, and ethical requirements.

Leadership & Innovation

• Define and evolve emerging AI operations roles, including AI Ops Engineer, Agent Supervisor, Prompt/Runbook Engineer, and Reliability Engineer.
• Collaborate with executive leadership, engineering teams, operations teams, and business stakeholders to align AI initiatives with strategic goals.
• Evaluate emerging AI technologies and recommend adoption strategies.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
• 10+ years of experience in enterprise architecture, cloud platforms, IT operations, or software engineering.
• 5+ years of experience in AI/ML, AIOps, observability, or automation architecture.
• Strong understanding of ServiceNow, Jira, CMDB, CI/CD, cloud platforms (AWS, Azure, GCP), and observability tools.
• Experience with LLMs, AI agents, orchestration frameworks, and enterprise AI governance.
• Knowledge of data governance, cybersecurity, privacy regulations, and Responsible AI principles.
• Excellent stakeholder management, communication, and leadership skills.