616 Ai Full Stack Software Engineer jobs in Secaucus,NJ

Sr. TPM, GenAI, Catalog Systems

Amazon.com Services LLC

New York, NY 10261

~ 19 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

7+ years of working directly with engineering teams experience
5+ years of technical product or program management experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules

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DiversityJobs

Senior DSP Software Engineer

CIENA

New Providence, NJ 07974

Flexible Schedule

New, Posted 12 hours ago

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Senior Software Engineer - Build Tooling Infrastructure

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$141,900-$190,300/yr

New, Posted 1 day ago

ResumeLibrary

Software Engineer - On-site NYC

BrainTrust

New York, NY 10007

DiversityJobs

Manager, Software Project Management (New York, NY - US)

Energy Solutions

New York, NY 10279

DiversityJobs

Executive Partner, Artificial Intelligence Advisory/ AI Strategist

Gartner

Newark, NJ 07175

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Business Development Executive, Intellium

New York, NY 10017

Requires TravelFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelors Degree; CPCU, and/or ACII experience
3+ years in the insurance industry experience successfully quoting, engineering and/or underwriting
Knowledge of property forms, HPR engineering, competitors and brokers
Proficiency with computers and associated software such as Excel, PowerPoint and Word

SmartExplore AI is experimental.

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Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 19 min Onsite

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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