Information Technology - Solution Delivery Lead - AI Solution ArchitectArtech • United States
Information Technology - Solution Delivery Lead - AI Solution Architect
Artech
- United States
- United States
Über
Solution Delivery Lead - AI Solution Architect
for one of our direct clients in the US. Below are the specs for the role:
Job Title:
Solution Delivery Lead - AI Solution Architect Work Location:
Remote Duration of Assignment:
6+ Months Pay Rate Range:
$75.00-$90.00/hr on W2 Job Description: Responsibilities: Lead delivery using Agile + DevOps:
Own the end-to-end engineering lifecycle-planning, development, testing, release, and support-using Agile/Scrum and DevOps best practices Build and modernize across full-stack and cloud-native platforms:
Quickly ramp up on existing systems and contribute across diverse technology stacks, including Azure (IaaS/PaaS), cloud-native services, and modern application layers-React/Angular, backend services (Python/Node.js/Java), and integrated data stores and APIs Partner with architecture and product to shape solutions:
Collaborate with architects and product leaders to evaluate emerging technologies and translate them into scalable solution designs Design and deliver enterprise AI solutions:
Architect and implement AI/GenAI solutions that solve complex business problems-leading POCs, pilots, and production deployments Stay current and build responsibly:
Track evolving GenAI/Agentic AI patterns and industry trends. Ensure solutions reflect enterprise expectations for responsible AI, including safety, privacy, fairness, explainability, and seamless integration with existing organizational systems Required Skills:
Bachelor's degree Minimum 8+ years' experience Experience with Microsoft agent ecosystem concepts (single-agent and multi-agent patterns, orchestration, tool integration, observability, governance) Familiarity with enterprise agent platform components (control plane, guardrails, RBAC, audit logging, model routing) consistent with internal platform thinking. Exposure to internal AI governance guidance and responsible agent development best practices
Sprachkenntnisse
- English
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