740 Cloud Security Architect Sme jobs in New York,NY

Network Solutions Architect - ADMS

Leidos

Staten Island, NY 10306

~ 41 min OnsitePaid Time OffRetirement Benefit

Bachelor's degree
At least 8+ years of experience working as a network architect with experience in designing and documenting enterprise network architecture with heavy focus on ADMS.
Additional years of experience may be considered in lieu of a degree.
Strong background in enterprise networking including LAN/WAN, routing, switching, firewall administration, segmentation, redundancy, and security zoning.
Experience designing or supporting real-time, mission-critical, or operational technology (OT) environments.
Proven ability to create technical architecture documentation, network standards, and infrastructure design deliverables.
Experience identifying infrastructure risks and implementing practical mitigation and resiliency strategies.
**Location:** This position is based in South Plainfield, New Jersey.
Qualified candidates must reside within a commutable distance

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Director, Analytics and Data Science (Hybrid)

Institute of International Education

New York, NY 10007

HybridUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree
At least eight (8) years of related work experience, or an equivalent combination of education and experience
Minimum 5 years working in data and technology
3 years in Enterprise Data Strategy
3 years leading Enterprise Data Management and Data Governance practices
Expert level knowledge of Data Visualization with PowerBI (or similar tools)
Experience working with ETL (Extract, Transform and Load), Data Transformations, Data Warehouse and Building Data Pipelines
Strong project management and presentation skills, including a track record of overseeing a portfolio of multiple projects and comfort with both large and small audiences
Knowledge of common tools and methods for data science, machine learning, and business intelligence
Capability to generate Data Visualization and Data Insights with existing data from Programs

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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Network Solutions Architect - ADMS

Leidos

Staten Island, NY 10314

~ 41 min OnsitePaid Time OffRetirement Benefit

Bachelor's degree
At least 8+ years of experience working as a network architect with experience in designing and documenting enterprise network architecture with heavy focus on ADMS.
Additional years of experience may be considered in lieu of a degree.
Strong background in enterprise networking including LAN/WAN, routing, switching, firewall administration, segmentation, redundancy, and security zoning.
Experience designing or supporting real-time, mission-critical, or operational technology (OT) environments.
Proven ability to create technical architecture documentation, network standards, and infrastructure design deliverables.
Experience identifying infrastructure risks and implementing practical mitigation and resiliency strategies.
**Location:** This position is based in South Plainfield, New Jersey.
Qualified candidates must reside within a commutable distance

SmartExplore AI is experimental.

DiversityJobs

Optical System Architect

CIENA

New Providence, NJ 07974

Flexible Schedule

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Telephony & Contact Center Solutions Architect

MJHS

New York, NY 10040

Onsite

High School diploma or equivalent.
Minimum of four years of experience in designing, implementation, and supporting VoIP telephony infrastructure and contact center solutions.
Solid understanding of VoIP fundamentals and the network principles that support them.
Video surveillance platforms (e.g., OpenEye).
Access control systems (e.g., Brivo).
AV conference room systems and control technologies.
Ability to work independently with minimal supervision.
Ability to manage multiple priorities in an operational environment.

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Supervisor, EBIS

RWJBarnabas Health Corporate Services

West Orange, NJ 07052

$100,619-$142,124/yr

Requires TravelEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Must have 10 or more years of experience leading or managing projects related to system maintenances, security patch updates, upgrades
Must have 5 or more years of experience as a supervisor or manager of related IT resources.
Must have 10 or more years of experience collaborating with external and internal stakeholders and supervising their work.
Must have solid understanding of System architecture related to databases, cloud applications hosted on OCI, Google cloud or AWS.
Must have proven record to meet or exceed stakeholder expectations, orchestrating disaster recovery planning and maintain SLAs.
Must be able to accept customer needs to reprioritize projects or tasks.

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Manager, GCP Architect

KPMG

New York, NY 10025

Onsite

Minimum five years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience
Bachelor's degree from an accredited college/university
Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future
Travel as required

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Lead Specialist, AI Solution Architect

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments.
Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required.
Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation.
Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment.
Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs.
Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills.
Ability to travel as required.
Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future.

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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