Enterprise AI Architect

Quick Facts

• Role: Enterprise AI Architect (FDE-Oriented)

Description

This role leads the architecture and hands-on delivery of enterprise-scale AI solutions with Full Development Experience (FDE). You will design secure, compliant, and observable AI platforms, build DevSecOps and AI Engineering harnesses, and operationalize agentic AI workflows across the software delivery lifecycle.

Key Responsibilities

• Enterprise AI & Solution Architecture: Build enterprise AI reference architectures, define engineering standards and guardrails, and architect solutions with governance, security, resilience, and observability.

• Full Development Experience (FDE) and Engineering Excellence: Lead full-stack development and modern engineering practices such as TDD, CI/CD automation, code/architecture reviews, and deployment quality controls; modernize legacy systems.

• Secure-by-Design AI Platforms: Align with OWASP and Zero Trust; implement compliance controls for HIPAA/PHI and PII/GDPR; integrate SAST/SCA/container scanning, secrets management, and policy-as-code.

• AI Engineering, DevSecOps, and Delivery Automation: Create AI Engineering harnesses; establish DevSecOps frameworks (SAST, SCA, container security scanning, IaC governance) and build automated CI/CD pipelines.

• Agentic AI Development Frameworks: Design and operationalize multi-agent ecosystems for architecture, development, testing, security review, and governance.

• AI-Assisted Software Engineering Toolchain: Use GitHub Copilot, Claude Code, OpenAI Codex, and AI coding assistants to accelerate code analysis, modernization, review, and documentation.

• Data & AI Platform Architecture: Architect scalable data and AI platforms with Databricks and Snowflake, enabling lakehouse architectures, data governance, and self-service/semantic analytics.

Requirements

• Full Development Experience (FDE) with hands-on development across frontend, backend, APIs, data platforms, and cloud services

• Proven enterprise AI solution architecture experience using modern patterns and practices (e.g., Clean Architecture, DDD)

• Experience adopting agentic AI and multi-agent software engineering workflows

• DevSecOps expertise with CI/CD automation and secure SDLC practices

• Secure-by-design background aligned to OWASP and Zero Trust

• Compliance experience for HIPAA/PHI and PII/GDPR across data, applications, and AI workloads

• Experience implementing security validation with SAST, SCA, container scanning, secrets management, and policy-as-code

• 8–10 years of relevant experience

Benefits

Not specified in the provided posting.