GenAI Architect at Jersey City, NJ (Onsite)
Shivam Singh
Need Local or Nearby Consultants Only
No GC Consultants
Hi,
I hope this email finds you well.
Please review the job description & let me know if you are interested.
Job Title: GenAI Architect
Location: Jersey City, NJ (Onsite)
Contract
Need Local or Nearby Consultants Only
Job Description:
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.
Shivam Singh
Technical Recruiter | eHub Global
Shivam Singh
Hi,
I hope this email finds you well.
Please review the job description & let me know if you are interested.
Job Title: GenAI Architect
Location: Jersey City, NJ (Onsite)
Contract/Full-Time
Need Local or Nearby Consultants Only
Need Banking Domain Experience
Job Description:
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.