Urgent position of AI Lead

Hi,

Urgent position of AI Lead

Location:Remote

Duration-1+ years

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
 

Please share to Clark@vkoresolutions.com