164 ai deployment engineer jobs at 97 companies in Hackensack, NJ
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AI Deployment Engineer, Enterprise
San Francisco or New York City or United States
$197k-$278k/yrHybridFull Time
OpenAI: Develops artificial intelligence models and generative AI software services.
Experience designing, building, and deploying AI/ML systems to production in enterprise environments; strong Python skills; experience with integrations, reliability, security, and measuring business impact.
Chicago or Austin or San Francisco or New York City or Seattle or London
$132k-$166k/yrHybridFull Time
Writer: Platform for building and deploying enterprise generative AI agents.
5+ YOE5+ years in technical SaaS roles (3+ years in solutions architecture/consulting), deep Python and API experience, enterprise deployments for Fortune 500 customers, strong communication and executive presence.
Atera: Autonomous IT management and remote monitoring software platform.
2+ YOESenior engineer with strong coding in Python/Java/TypeScript/JavaScript/C++, hands-on LLM and ML fundamentals, 2+ years in customer-facing technical roles, familiarity with Windows/Mac, Active Directory/Azure AD, RMM/PSA, and willingness to travel up to 50%.
Python, Java, TypeScript, JavaScript, C++, LLMs, RMM, PSA, Microsoft Active Directory, Microsoft Azure AD, Windows, Mac
ScorePlay: AI-powered media infrastructure and asset management for sports organizations.
Software engineering background (Python/JavaScript), experience in technical client-facing deployment or solutions roles, familiarity with cloud platforms (AWS/GCP/Azure), strong AI tooling fluency, and excellent English communication.
Pigment: AI-powered business planning and performance management platform.
2+ YOEEngineering or CS degree, 2+ years in technical client-facing or implementation roles, strong analytical and data modeling skills, familiarity with AI/ML, APIs, and data pipelines, and proficiency with Python or SQL preferred.
Celonis: Provides process mining software for business process optimization.
4+ YOE4+ years consulting or solution delivery experience; Celonis platform, PQL, SQL, Python proficiency; AI-assisted tooling experience; domain/process expertise; willingness to travel up to 50%; bachelor’s or master’s degree.
Process Intelligence Graph, Celonis, PQL, SQL, Python, Apollo, Claude Code, Codex, Cursor, SAP, Oracle
8+ YOEBachelor's in STEM or equivalent,8+ years customer-facing technical experience,3+ years coding (Python or Java),experience with LLMs and prompt development,knowledge of GCP and enterprise integrations.
Python, Java, LLMs, Google Cloud Platform (GCP), Gemini Enterprise, Salesforce, SAP
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's degree in CS/AI/EE/CE plus 6+ years (or Master’s plus 4+) developing AI/ML, strong programming in Python/Go/Scala/Java, cloud AI deployment experience, and ability to lead engineering teams.
FractalNSE: FRACTAL: Provides artificial intelligence and data analytics solutions for enterprises.
7+ YOE3+ MgmtSenior software engineer with 7+ years experience, 3+ years leading technical delivery, 2+ years delivering AI-enabled automation; strong stakeholder, prototyping, and production delivery skills.
AlphaLife Sciences: AI-powered SaaS platform for clinical research and medical writing.
6+ YOE3+ Mgmt6+ years software engineering experience with 3+ years leading AI/ML initiatives; proficiency in Python and another language (Java, C++); hands-on experience with Generative AI, LLMs, RAG, AI agents and production deployment; BS/MS in CS/AI/Data Science.
Lantern: Connects employees to high-quality surgical, cancer, and infusion care.
5+ YOE5+ years building production AI/ML systems with 2–3 years focused on LLM/GenAI; strong Python skills; experience with LLM APIs, RAG, agentic systems, evaluation, cloud deployment, and mentorship.
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
10+ YOEExtensive AI/ML leadership with deep learning, NLP, LLMs, large-scale model development and production deployment; strong communication and mentorship skills.
Joyful Health: AI-powered financial operating system for healthcare revenue cycle management.
5+ YOE5+ years ML engineering experience, proficiency with Python and modern ML frameworks, experience with LLMs, RAG, vector DBs, MLOps, and production deployment; healthcare billing experience a plus.
DuolingoNASDAQ: DUOL: Mobile application for language learning and basic education.
Proven AI research engineering experience across LLMs, bandits, and ML stack (feature engineering, training, fine-tuning, RL, evaluation, deployment, monitoring); leadership and mentoring experience; advanced degree or equivalent experience.
Corporate Vice President - Principal AI Engineer, Solution Delivery
New York, New York, United States
$148k-$211k/yrHybridFull Time
New York Life Insurance: Providing life insurance, annuities, and long-term investment solutions.
8+ YOE8+ years applying ML/AI to business problems, advanced degree in CS/AI/Engineering/Math, strong Python and software engineering skills, experience with LLMs, RAG, agentic systems, cloud AI platforms and production deployment.
Holtzbrinck Publishing Group: Global media group publishing academic research, educational materials, and books.
Senior AI Engineer with full-stack capabilities; cloud-native AI products; deployment, monitoring, and optimization of AI models; strong software engineering; production systems; English communication.
Afficiency: Provides a digital platform for life insurance product distribution.
4+ YOE4+ years software engineering, 2+ years building AI/Generative AI applications, Bachelor's degree, strong prompt engineering and full-stack skills, experience with LLMs and production deployment.
Atlanta or Columbus or Dallas or New York City or Philadelphia or Richardson
$235k-$255k/yrOnsiteFull Time
CBRENYSE: CBRE: Provides global commercial real estate services and investment management.
5+ YOE5+ years AI/ML engineering experience with production deployments; strong Python and ML library experience; knowledge graph and MLOps expertise; cloud AI/ML platform experience; ability to work with product stakeholders. Bachelor's degree required.
3+ YOE3-6 years technical experience across software development, data engineering, and DevOps; production AI deployment experience; proficiency in Python; experience with data pipelines, APIs, cloud platforms, and CI/CD.