AI Architect - Systems Integrator

Keen to join a company that champions growth and development?

Join a global managed service provider and Microsoft partner delivering secure cloud modernization solutions to regulated industries, helping organizations scale while maintaining compliance and operational excellence.

An exciting opportunity has opened for an AI Product Engineer to combine AI systems development with Azure-based cloud infrastructure delivery. The role focuses on building and deploying production-grade AI agents, automating infrastructure, and helping turn AI capabilities into scalable solutions across internal and client environments.

Don’t miss out on this exciting opportunity and apply today!

Responsibilities: 

• AI Systems & Product Engineering:
  • Design and implement agentic AI systems including multi-agent orchestration, tool integrations, and deployment pipelines
  • Build and deploy AI agents for internal operations (service desk triage, onboarding, documentation, alerting)
  • Client-facing automation and AI solutions
  • Develop productized AI offerings (e.g., AI readiness assessments, automation frameworks)
  • Integrate LLMs, RAG architectures, and API-driven tooling into production systems
  • Establish monitoring, governance, and continuous improvement frameworks for AI systems
  • Define KPIs and measure impact (efficiency gains, cost savings, revenue enablement)
• Cloud Infrastructure & Platform Engineering:
  • Architect, deploy, and maintain hybrid infrastructure across on-prem and Azure (IaaS/PaaS)
  • Build scalable environments to support AI workloads (compute, networking, storage, security)
  • Implement infrastructure-as-code (Terraform, Bicep, ARM) and automation using PowerShell
  • Manage identity, access, and security (Entra ID, RBAC, compliance baselines)
  • Design and execute infrastructure projects (migrations, upgrades, DR strategies)
  • Monitor performance, optimize capacity, and ensure high availability
• Operations & Support:
  • Serve as a technical escalation point for advanced infrastructure and AI-related issues
  • Collaborate with GSOC and engineering teams to resolve complex incidents
  • Create documentation, runbooks, and architecture diagrams
  • Continuously improve tooling, processes, and delivery standards

Skills/Must have:

• 5+ years in AI/ML engineering, cloud infrastructure, or platform engineering
• Hands-on experience building and deploying:
  •  Agentic AI systems or intelligent automation workflows
  • Azure-based infrastructure in production environments
  •  Strong programming skills (Python) and experience with automation (PowerShell)
• Experience with:
  • LLMs, prompt engineering, and RAG architectures
  • APIs and system integrations
  • Infrastructure-as-code (Terraform, Bicep, or ARM)
• Deep understanding of:
  • Azure (compute, networking, storage)
  • Identity & access management (Entra ID, RBAC)
  • Security, backup, and disaster recovery
  • Ability to connect technical work to business outcomes and ROI
  • Strong communication skills across technical and non-technical audiences

Location:

• Dallas, TX Onsite 

Benefits:

• Dynamic and enjoyable work environment
• Competitive compensation with performance-based incentives
• Health insurance and 401(k) benefits
• Opportunities for professional growth and development
• Fast-paced team with a strong focus on customer success
• Supportive workplace for motivated and driven professionals

Salary:

• $110,000 - $130,000