GenAi Architect

Job Title: GenAi Architect
Location: Anywhere in North America (US)
Job Type: Full-Time only
Remote
Role Purpose:
Design and lead the technical foundation for enterprise AI initiatives, ensuring scalable, secure, and production-ready architectures that enable organizations to realize measurable business value from AI investments while maintaining governance and operational excellence.
Key Outcomes & Responsibilities
AI Architecture & Solution Design
Define enterprise AI reference architectures that enable rapid experimentation, scalable deployment, and long-term maintainability
Design end-to-end AI solutions spanning data ingestion, model development, deployment, and monitoring layers
Ensure architectural decisions balance innovation with enterprise standards for security, performance, and cost optimization
Create reusable patterns, templates, and accelerators that reduce time-to-value for AI implementations
Data Architecture & MLOps Foundation
Architect data ecosystems that provide high-quality, accessible, and governed data for AI/ML workloads
Design MLOps pipelines enabling continuous integration, delivery, and monitoring of AI models at scale
Establish feature stores, model registries, and versioning frameworks that ensure reproducibility and traceability
Optimize data architectures for real-time inference, batch processing, and hybrid deployment scenarios
Platform & Infrastructure Strategy
Define cloud-native AI platform strategies leveraging Azure, AWS, GCP, or hybrid environments
Evaluate and recommend AI/ML platforms, tools, and frameworks aligned with client capabilities and objectives
Design infrastructure architectures that optimize compute, storage, and networking for AI workloads
Ensure platform choices support scalability, cost efficiency, and future technology evolution
AI Governance & Security Architecture
Embed governance, security, and compliance requirements into AI architecture from design phase
Design model explainability, bias detection, and fairness monitoring capabilities into solution architectures
Architect audit trails, lineage tracking, and access controls that meet regulatory requirements
Ensure architectures support responsible AI principles including transparency, accountability, and privacy
Technical Leadership & Stakeholder Alignment
Translate business requirements into technical architectures that stakeholders across business and IT can understand
Guide cross-functional teams including data engineers, data scientists, and DevOps through implementation
Influence enterprise architecture decisions to ensure AI readiness across technology landscape
Serve as technical authority on AI initiatives, resolving design conflicts and ensuring architectural integrity
Innovation & Technology Roadmap
Evaluate emerging AI technologies (GenAI, LLMs, edge AI) and assess applicability to client contexts
Define technology roadmaps that evolve AI capabilities in alignment with business strategy
Lead proof-of-concepts and technical pilots to validate architectural approaches before scale
Contribute to intellectual property through reusable assets, frameworks, and technical publications
Preferred Skills
Enterprise AI Architecture - Proven ability to design scalable, production-grade AI architectures that support diverse use cases from experimentation through enterprise-wide deployment with measurable business impact
Data Engineering & MLOps Mastery - Deep expertise in architecting data pipelines, feature stores, model registries, and MLOps frameworks that enable continuous delivery and monitoring of AI models at scale
Cloud & Platform Expertise - Extensive hands-on experience with cloud-native AI services across Azure (Azure ML, Synapse, Databricks), AWS (SageMaker, Bedrock), or GCP (Vertex AI) with ability to design hybrid and multi-cloud solutions
Technical Leadership & Influence - Strong ability to lead technical teams, resolve complex design challenges, and communicate architectural decisions effectively to both technical and business stakeholders
Governance & Security Integration - Experience embedding responsible AI principles, security controls, and regulatory compliance requirements into AI architectures from design through deployment
Qualifications:
10-15 years of overall IT experience with minimum 8+ years focused on data engineering, AI/ML, and solution architecture
5+ years of experience designing and delivering enterprise-scale AI/ML and GenAI solutions in production environments
Demonstrated track record of leading architecture for AI transformation programs across multiple industries
Experience working with Fortune 500 or large enterprise clients in consulting or technology delivery roles
Knowledge of AI Governance and Responsible & Ethical AI practices.
MBA preferred.
Why Join Us:
Opportunity to work with leading experts in the field of AI.
Engage in challenging and innovative projects with top-tier clients.
Competitive salary and benefits package.
Supportive and collaborative work environment.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.