Principal Enterprise Architect

System One

Lafayette (LA)

In loco

USD 140.000 - 210.000

Tempo pieno

5 giorni fa

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Descrizione del lavoro

System One seeks an experienced Enterprise AI Architect to lead AI initiatives in a heavily regulated financial services environment. You will drive architecture for Generative AI, Agentic AI and multi-agent solutions from concept to production, with emphasis on AWS, governance, security and enterprise integration.

The role demands establishing scalable AI patterns, guiding multiple engineering teams, and ensuring production readiness with strong communication to technical and executive

Competenze

8+ years of enterprise architecture experience with Generative AI and production AI.
Hands-on knowledge of AI agents, multi-agent systems, orchestration, memory and retrieval.
Strong AWS and cloud-native tech experience for scalable enterprise apps.
Experience integrating AI with enterprise APIs, apps, workflows, identity services and data stores.
Understanding AI governance, Responsible AI, security, privacy, and regulatory compliance.
Familiarity with RAG, semantic search, metadata and data lineage concepts.
Production AI practices: evaluation, observability, monitoring, lifecycle management, resiliency.
Knowledge of containers, event-driven systems, API management, IAM, and enterprise integration patterns.
Ability to create reference architectures and roadmaps; communicate with engineers, product and execs.
Familiarity with AI-assisted software development and Spec Driven Development (SDD) preferred.

Mansioni

Lead enterprise architecture for Generative AI, Agentic AI, and multi-agent solutions.
Define reusable AI architecture patterns, standards, and reference architectures.
Establish patterns for AI agent orchestration, memory, retrieval, and human-in-the-loop workflows.
Guide secure integration of AI with enterprise APIs, applications, workflow platforms, identity services, and data sources.
Incorporate security, privacy, regulatory compliance, Responsible AI, auditability and guardrails.
Provide architecture leadership and technical guidance across engineering and product teams.
Conduct architecture reviews, evaluate tradeoffs, and help teams resolve complex challenges.
Support production AI capabilities including evaluation, observability, resiliency, and lifecycle management.
Translate business objectives into AI technology roadmaps for technical and executive stakeholders.

Conoscenze

Enterprise architecture

Generative AI

Agentic AI

Cloud native / AWS

Systems integration

Security & governance

RAG & knowledge retrieval

Production AI lifecycle

Architecture reviews

Stakeholder communication

Formazione

Bachelor's degree in Computer Science, Information Systems, or related field

Strumenti

Containers (Docker/Kubernetes)

API Management

Identity & Access Management (IAM)

Descrizione del lavoro

Job Title: Principal Enterprise Architect

Duration: Full Time / Permanent Position

Location: Lafayette, LA, Knoxville, TN, Columbia, SC, Birmingham, AL.

Work Mode: 5 Days Onsite

Systemone is seeking an experienced Enterprise AI Architect to provide technical leadership for enterprise scale Artificial Intelligence initiatives within a highly regulated financial services environment. This role will lead the architecture of Generative AI, Agentic AI, and multi agent solutions from initial concept through production implementation.

The Enterprise AI Architect will establish scalable and reusable AI architecture patterns, guide engineering teams through key technical decisions, and ensure AI solutions integrate securely with enterprise platforms and cloud services. The role will have a strong focus on AWS based environments, enterprise integration, AI governance, security, Responsible AI, and production readiness.

Your future duties and responsibilities

Lead enterprise architecture for Generative AI, Agentic AI, and multi agent solutions.
Define reusable AI architecture patterns, standards, reference architectures, and implementation guidance.
Establish patterns for AI agent orchestration, tool integration, memory, retrieval, and human in the loop workflows.
Guide secure integration of AI solutions with enterprise APIs, applications, workflow platforms, identity services, and data sources.
Incorporate security, privacy, regulatory compliance, Responsible AI, auditability, guardrails, and human oversight into AI solutions.
Provide architecture leadership and technical guidance across multiple engineering and product teams.
Conduct architecture and technical reviews, evaluate tradeoffs, and help teams resolve complex implementation challenges.
Support production AI capabilities including evaluation, observability, monitoring, resiliency, scalability, and model lifecycle management.
Translate business objectives into AI technology roadmaps and communicate recommendations to technical and executive stakeholders.

Required qualifications to be successful in this role

8+ years of enterprise architecture experience with Generative AI, Agentic AI, and production AI solutions.
Hands on knowledge of AI agents and multi agent systems, including orchestration, tool calling/integration, memory, retrieval, and human in the loop patterns.
Strong experience with AWS and cloud native technologies used to deliver scalable enterprise applications and AI workloads.
Experience integrating AI solutions with enterprise APIs, applications, workflow systems, identity services, and data platforms.
Strong understanding of AI governance, Responsible AI, security, privacy, regulatory compliance, guardrails, and auditability, ideally within financial services or another highly regulated industry.
Experience with RAG and enterprise knowledge retrieval, including semantic search, trusted knowledge sources, metadata, and data lineage concepts.
Understanding of production AI practices, including evaluation, observability, monitoring, model lifecycle management, resiliency, and performance.
Knowledge of containers, event driven systems, API management, IAM, and common enterprise integration patterns.
Experience establishing architecture standards, conducting technical reviews, and providing implementation guidance across multiple engineering teams.
Ability to create reference architectures and technology roadmaps and clearly communicate complex technical decisions to engineering, product, and executive stakeholders.
Familiarity with AI assisted software development practices, requirements traceability, structured specifications, or Spec Driven Development (SDD) is preferred.