Results for Aiml Engineer Jobs in Princeton, NJ

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AI Engineer

Fort Washington, PA
onsite
Temporary / Contract
55 - 60 USD / Hourly
We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments. Responsibilities: • Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability. • Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools. • Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems. • Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests. • Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge. • Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution. • Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability. • Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
2026-10-01T00:00:00Z

Sr. MLOps Engineer

King of Prussia, PA
onsite
Permanent / Full Time
165000 - 185000 USD / Yearly
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations. Responsibilities: • Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability. • Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs. • Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time. • Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability. • Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes. • Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact. • Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models. • Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements. • Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices. • Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
2026-09-24T00:00:00Z

Entry Level AML Analyst

Princeton, NJ
onsite
Temporary / Contract
21 - 23 USD / Hourly
We are looking for a detail-oriented Entry Level AML Analyst to support financial crime compliance efforts within a Financial Services environment in Princeton, New Jersey. This Long-term Contract position is a strong fit for someone beginning a career in financial analysis, compliance, or banking operations and interested in reviewing transactional activity for potential risk indicators. The role focuses on analyzing customer records, preparing clear written observations, and maintaining accuracy while working with high volumes of information. Responsibilities: • Examine customer accounts and transaction activity to identify unusual behavior, inconsistencies, or potential money laundering concerns. • Review compliance documentation and related case materials to support anti-money laundering and enhanced due diligence investigations. • Prepare concise written summaries that clearly document findings, observations, and recommended follow-up items. • Complete accurate and efficient data entry while maintaining the integrity of customer and transaction records. • Use Microsoft Excel to organize, track, and analyze compliance-related information and reporting details. • Support the preparation and review of currency transaction reporting and other required financial compliance records. • Escalate questionable activity or missing documentation to the appropriate team members for further review. • Maintain organized work output and follow established procedures in a deadline-driven environment.
2026-10-12T00:00:00Z

Information Systems Engineer

Somerset, NJ
remote
Temporary to Hire
41.1635 - 47.663 USD / Hourly
Key Responsibilities • Provide Tier 1 and Tier 2 support for end users across voice, data, applications, and desktop systems • Troubleshoot and resolve hardware, software, and network-related issues both remotely and onsite • Support and administer Windows Server environments and Active Directory • Manage and maintain Microsoft 365 (O365) including Exchange, SharePoint, OneDrive, and MFA • Configure, deploy, and support Windows 10/11 workstations and peripherals • Support and troubleshoot LAN/WAN connectivity, VOIP systems, and network devices • Monitor and manage system backups, disaster recovery processes, and infrastructure performance • Lead and participate in IT projects, including site setups, upgrades, and deployments • Evaluate hardware/software needs and recommend solutions aligned with business requirements • Collaborate with vendors, procurement, and internal teams on technology solutions and services • Maintain accurate documentation of systems, processes, and infrastructure • Manage hardware/software inventory and ensure proper asset tracking • Provide technical guidance to team members and act as an escalation point when needed • Deliver regular updates on project status and system performance to leadership
2026-09-25T00:00:00Z

Field Engineer

Mountainside, NJ
onsite
Permanent / Full Time
95000 - 115000 USD / Yearly
We are looking for a Field Engineer to support customers, internal sales teams, and service partners by providing practical technical expertise that strengthens product adoption and long-term account growth. This role focuses on evaluating fluid system applications, recommending effective solutions, and helping customers improve reliability and performance. Based in Mountainside, New Jersey, the position also partners with cross-functional teams to advance custom solution opportunities and contribute technical insight to strategic initiatives. Responsibilities:• Build demand for priority products and service offerings by aligning technical recommendations with customer application needs.• Serve as a technical resource for installed systems, including issue review, return support, troubleshooting guidance, and field-based problem resolution.• Assess customer fluid systems, identify performance or efficiency gaps, and document findings with solution-focused recommendations.• Support customers with engineering-related assistance such as maintenance guidance, system adjustments, and application troubleshooting.• Create and deliver tailored technical presentations that address customer challenges and demonstrate the value of proposed solutions.• Partner with sales and customers to identify custom fabrication opportunities, including development of drawings, quotes, and P&ID documentation.• Recommend appropriate products for specific operating environments and application requirements.• Provide technical training and application support to internal teams and customers on product use and best practices.• Work closely with peer engineers and business partners to share knowledge, refine solutions, and support broader marketing or operational initiatives. Benefits:<ul><li>Medical</li><li>Vision</li><li>Dental</li><li>401K</li><li>PTO</li></ul>
2026-10-22T00:00:00Z

Software Automation Engineer

Philadelphia, PA
remote
Temporary / Contract
55 - 59 USD / Hourly
Software Automation Engineer IVLocation: Remote, East Coast hours We are seeking a senior-level Automation Engineer IV to help accelerate the development, deployment, and adoption of AI-enabled solutions across the enterprise. This role will sit at the intersection of Python engineering, automation, machine learning, software quality, and AI enablement, helping move AI and ML use cases from development and experimentation into reliable, scalable production environments. Responsibilities:<ul><li>Help operationalize AI and machine learning solutions, moving models and AI-enabled applications from development into scalable production environments.</li><li>Develop reusable frameworks, utilities, and automation that make it easier for application teams to integrate and deploy AI capabilities.</li><li>Build Python-based services, scripts, APIs, and automation workflows supporting AI and ML use cases.</li><li>Partner with technical teams to identify opportunities where AI can improve existing applications, processes, testing, and operational workflows.</li><li>Establish repeatable development, testing, deployment, and monitoring practices for AI-enabled applications.</li><li>Code, test, document, implement, and support new or modified machine learning systems supporting a broad range of clinical and enterprise use cases.</li><li>Evaluate emerging technologies and recommend opportunities to reuse existing capabilities versus building new solutions.</li><li>Partner with various SOC Leaders, technical owners, and stakeholders to understand operational challenges and automation opportunities.</li></ul>Design, build, and deploy AI-powered solutions such as:<ul><li>AI triage bots</li><li>Watchlist automation</li><li>Incident response automation</li><li>Security operations workflows</li><li>AI agents and intelligent automation tools</li><li>Build solutions end-to-end, from requirements gathering through deployment and support.</li><li>Participate in architectural design and technical decision-making.</li><li>Integrate AI and automation tools into existing enterprise systems and workflows.</li><li>Improve SOC efficiency by reducing false positives, manual effort, and administrative tasks.</li><li>Develop software solutions utilizing AWS services and APIs.</li><li>Collaborate across security, engineering, and operations teams.</li></ul>
2026-10-09T00:00:00Z

Software Engineer

New York, NY
remote
Temporary to Hire
76 - 88 USD / Hourly
We are looking for a Software Engineer to join a contract opportunity with the potential to become permanent, based in New York, New York. This position will play a key role in shaping technical architecture across integrations, platform security, data flow, and release readiness within a Workday-focused environment. The ideal candidate brings strong engineering judgment, hands-on integration expertise, and the ability to guide technical standards while partnering with stakeholders across the organization. Responsibilities: • Direct the overall strategy for the integration ecosystem, including monitoring system health, maintaining technical inventories, and planning future enhancements across connectors, Studio solutions, and downstream consumers. • Create and evaluate integration designs while establishing best practices for development, exception management, operational logging, and technical documentation. • Partner with security stakeholders to define and maintain a robust tenant security framework covering access controls, business process security, and integration-related permissions. • Assess the technical implications of platform updates and version changes, leading regression planning and validation efforts to reduce production risk. • Investigate complex production issues affecting integrations, identify underlying causes, and implement durable corrective actions. • Design and support advanced platform solutions such as Extend, Prism, or reporting capabilities when required by business needs. • Promote modern engineering practices by introducing AI-supported development approaches, automated testing, and continuously updated technical knowledge assets. • Provide technical leadership to engineers through coaching, design oversight, and participation in the interview process for new team members.
2026-10-16T00:00:00Z

7 results for Aiml Engineer in Princeton, NJ