724 Forward Deployed Ai Engineer jobs in New York

Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

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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Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services)

Capital One

New York, NY 10001

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Senior Distinguished Engineer, AI Compute (Remote Eligible)

Capital One

New York, NY 10001

Remote

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Manufacturing Engineer (AI&T / Structures / Electrical)

L3 Harris

Rochester, NY 14609

OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in an Engineering discipline and a minimum of 4 years of prior relevant experience; Or, Graduate degree and a minimum of 2 years of prior related experience; Or, in lieu of a degree, a minimum of 8 years of prior related experience
Ability to obtain US Government security clearance

SmartExplore AI is experimental.

New, Posted 5 hours ago

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CFD & CAD Expert — AI Evaluation & Quality Review

BrainTrust

New York, NY 10001

New, Posted 3 hours ago

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Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

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US Legal Editor, AI Content Updating

Disability Solutions

New York, NY 10261

New, Posted 1 day ago

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

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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QA Lead - Serious Gaming Web Application Development

RTX

Rome, NY 13441

Paid Relocation to Rome, NY

HybridFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

The ability to obtain and maintain a U.S. government issued security clearance is required.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
DoD Clearance: Secret
Active and existing security clearance required after day 1
B.S. or equivalent in a technical degree with 8 years or more experience as software or data integration developer OR 6 years experience with MS degree.
Significant experience testing modern web applications with complex, interactive front ends.
Experience leading or shaping QA strategy, not just executing test cases.
Familiarity with microservices architectures and distributed systems, including testing of interfaces and API's.
Experience validating containerized deployments (Docker) and Kubernetes-based environments.
Understanding of CI/CD pipelines and quality controls within DevSecOps workflows.
Strong grasp of configuration management and release integrity across environments.
Ability to collaborate effectively with engineers, UX designers, product owners, and government stakeholders.
Ability to obtain and maintain a U.S. security clearance (active clearance preferred).
Willingness to travel as needed, approximately 10% of the year.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Auto Refinish Technician / Auto Painter

The Boyd Group

Buffalo, NY 14221

$125,000/yr

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

2-5+ years of collision repair experience
Ability to properly complete all steps in the refinishing process
Above average quality focus
High production capabilities
The physical demands of your job must be met to successfully perform the essential functions of the job.
Reasonable accommodations may be made to enable individuals with disabilities to perform the job.

SmartExplore AI is experimental.