Enterprise AI Architect
Listed on 2026-08-24
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Software Development
AI Engineer (Applied/Software), Software Architect, DevOps, Cloud Engineer - Software
We are seeking an Enterprise AI Architect with strong Full Development Experience (FDE) to lead the architecture, development, security, and modernization of enterprise-scale AI and software platforms.
The ideal candidate is a hands-on architect who can move beyond high-level strategy and actively contribute to software development, AI engineering, Agentic AI, cloud-native architecture, Dev Sec Ops , platform engineering, and enterprise data platforms
.
You will work across architecture, engineering, security, data, and platform teams to design and deliver secure, scalable, observable, and production-ready AI solutions.
Key Responsibilities- Lead architecture and implementation of enterprise-scale AI and cloud-native solutions.
- Define enterprise AI reference architectures, engineering standards, frameworks, and guardrails.
- Drive adoption of Agentic AI, AI-assisted software engineering, and intelligent automation
. - Apply modern architecture patterns including Clean Architecture, Domain-Driven Design (DDD), microservices, and cloud-native design
. - Build solutions with security, governance, observability, resilience, and compliance from the start.
- Demonstrate hands-on experience across frontend, backend, APIs, data platforms, cloud services, and AI applications
. - Lead modern software engineering practices including TDD, CI/CD, automated testing, code reviews, and quality gates
. - Modernize legacy applications through refactoring, cloud migration, and microservices transformation.
- Establish AI-powered engineering practices to improve developer productivity and software delivery.
- Design secure AI platforms using OWASP, Zero Trust, and enterprise cybersecurity principles
. - Implement security controls for PII, PHI, HIPAA, GDPR, and regulatory compliance
. - Integrate SAST, SCA, container security scanning, dependency management, secrets management, and policy-as-code
. - Build auditable AI systems with governance, lineage, traceability, access controls, and compliance monitoring.
- Design automated CI/CD pipelines with security and quality gates.
- Design and operationalize multi-agent AI development ecosystems
. - Build AI-assisted workflows for architecture, development, testing, security reviews, documentation, and code reviews.
- Work with tools such as:
- OpenAI Codex
- Enterprise AI coding assistants
- Snowflake Cortex
- Architect scalable enterprise data and AI platforms using Databricks, Snowflake, and cloud-native services
. - Databricks Lakehouse
- Snowflake Cortex / Co Co
- Enable self-service analytics, conversational AI, semantic data access, and enterprise-scale data engineering.
- 10+ years of experience in software engineering, solution architecture, enterprise architecture, or related technology roles.
- Strong hands-on software development background with Full Development Experience (FDE).
- Proven experience architecting and implementing enterprise AI solutions
. - Strong knowledge of Agentic AI and AI-assisted software engineering
. - Experience with cloud-native architecture, microservices, APIs, CI/CD, Dev Sec Ops , and platform engineering
. - Strong experience with Databricks and/or Snowflake
. - Experience implementing enterprise security, governance, compliance, and observability.
- Strong understanding of modern software architecture, DDD, Clean Architecture, TDD, and engineering best practices
. - Experience working with AI-powered developer tools such as Git Hub Copilot, Claude Code, or OpenAI Codex
. - Excellent communication and stakeholder management skills with the ability to work across engineering, security, data, and business teams.
- Experience designing multi-agent AI systems and enterprise Agentic AI frameworks.
- Experience with Databricks Genie, Snowflake Cortex/Co Co , or similar enterprise AI capabilities.
- Experience in regulated environments involving HIPAA, PHI, PII, or GDPR
. - Experience establishing enterprise AI governance and reference architectures.
- Experience leading large-scale cloud modernization and legacy transformation initiatives.
This is a hands-on Enterprise AI Architect role for someone who can combine architecture, software engineering, AI, security, Dev Sec Ops , and enterprise data to deliver real production solutions.
If you are passionate about using AI to transform how enterprise software is architected, developed, secured, tested, and deployed
, we would like to hear from you.
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