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Microsoft Computer Science Jobs in New Jersey (NOW HIRING)

Rivago infotech inc

Bachelor''''s or Master''''s degree in Computer Science, Information Technology, Artificial Intelligence, or a related discipline. * Microsoft certifications preferred: Copilot Studio, Power Platform ...

Palnar

Sr NetSuite Admin

Cranbury, NJ · On-site

* Bachelor's degree in computer science, engineering, or similar STEM concentration. MBAMS a plus. * 8 years of application administration, development, design, configuration, release, validation ...

Ask IT consulting

Informatica MDM Admin

Branchville, NJ · On-site

$53.25 - $69.75/hr

Bachelor's degree in Computer Science, Information Technology, Engineering or related field ... Work experience using Microsoft SQL Server Experience with high level Windows Server administration.

Celerant Tech

Setup Configuration Analyst

Iselin, NJ · On-site

$40K - $55K/yr

SKILL REQUIREMENTS: - Bachelor's degree in Computer Science, Information Technology, or 5+ years of ... Experience with Microsoft SQL Server, Windows Server, Apache Tomcat, and Java is preferred ...

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How much do microsoft computer science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for microsoft computer science in New Jersey is $84,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,700.00 and $94,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Microsoft Computer Scientist, and why are they important?

To excel as a Microsoft Computer Scientist, you need a solid background in computer science fundamentals, programming languages like C#, C++, or Python, and at least a bachelor's degree in computer science or a related field. Familiarity with Microsoft's development tools (such as Visual Studio), cloud platforms like Azure, and relevant certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert) is highly valuable. Strong problem-solving, teamwork, and effective communication skills help you contribute to complex projects and collaborate across diverse teams. These skills and qualifications are crucial for innovating, building scalable solutions, and driving success within Microsoft's dynamic technology environment.

What are 5 careers in Microsoft computer science?

Careers in Microsoft computer science include software engineer, data scientist, cybersecurity analyst, systems architect, and product manager. These roles typically require strong programming skills, knowledge of cloud platforms like Azure, and relevant certifications or degrees in computer science or related fields.

What collaborative projects might a Microsoft Computer Science professional work on, and how does teamwork influence success in this role?

As a Microsoft Computer Science professional, you will often collaborate with cross-functional teams, including product managers, designers, and other engineers, to develop scalable software solutions. Projects may range from cloud computing services in Azure to building new features for Microsoft Office or Windows. Teamwork is crucial, as success often depends on effective communication, code reviews, and shared responsibilities. Regular stand-up meetings, agile sprints, and pair programming are common practices that help ensure alignment and foster innovation. This collaborative environment not only enhances project outcomes but also supports individual growth through knowledge sharing.

What is Microsoft Computer Science?

Microsoft Computer Science typically refers to the study and application of computer science principles within the context of Microsoft technologies. This can include working with programming languages, software development, cloud computing, artificial intelligence, and other tech projects using Microsoft tools like Azure, Visual Studio, and .NET. Professionals in this field may work on developing software, managing IT infrastructure, or creating innovative solutions for business and consumer needs. Microsoft also offers educational programs and certifications for those interested in advancing their computer science knowledge and careers.
What are popular job titles related to Microsoft Computer Science jobs in New Jersey? For Microsoft Computer Science jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Microsoft Computer Science jobs in New Jersey look for? The top searched job categories for Microsoft Computer Science jobs in New Jersey are:
Microsoft Computer Science jobs near you
Infographic showing various Microsoft Computer Science job openings in New Jersey as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $84,375 per year, or $40.6 per hour.

Microsoft Copilot Agent Developer / Senior Copilot Agent Engineer

Rivago infotech inc

On-site

Other

Posted 7 days ago

Job description

Good With Relocation

 

 

Position Title

Microsoft Copilot Agent Developer / Senior Copilot Agent Engineer

Location

 Iselin, NJ 08830, USA

Employment Type

Fulltime

  

End Client

 Banking Sector

Job Description

 

Key Responsibilities

 

Agent Development

  • Design and develop Microsoft 365 Copilot agents using Copilot Studio and Microsoft 365 extensibility frameworks.
  • Build conversational AI experiences, agent instructions, orchestration logic, custom topics, and fallback/escalation flows.
  • Configure knowledge sources such as SharePoint, Microsoft 365 content repositories, Dataverse, and enterprise systems.
  • Implement prompt engineering and grounding strategies for accurate, contextual, and role-appropriate responses.

 

Integration & Automation

  • Integrate agents with enterprise applications using Microsoft Graph, REST APIs, Power Automate, Azure Functions, and custom connectors.
  • Develop actions, plugins, and workflow automations that enable agents to perform business tasks across systems.
  • Connect agents with business platforms such as ServiceNow, Salesforce, SAP, Jira, and internal applications where required.

 

AI Solution Engineering

  • Design agentic AI solutions for knowledge management, IT support, HR assistance, SDLC productivity, project governance, customer service, and operational automation.
  • Develop reusable agent frameworks, accelerators, templates, reusable prompts, and integration patterns.
  • Continuously evaluate agent quality, response relevance, business value, adoption, and operational readiness.

 

Governance & Security

  • Implement Responsible AI practices and support safe, transparent, and auditable AI behavior.
  • Ensure compliance with security, privacy, access control, and enterprise governance standards.
  • Support agent monitoring, lifecycle management, permission governance, and data protection policies.

 

Stakeholder Engagement

  • Translate business requirements into AI agent solution designs and implementation backlogs.
  • Conduct workshops, solution walkthroughs, demos, training sessions, and adoption support.
  • Collaborate with solution architects, product owners, functional SMEs, security teams, and delivery teams.

Required Technical Skills

Competency Area

Core Skills / Expectations

Microsoft AI Stack

Microsoft 365 Copilot, Copilot Studio, Microsoft 365 Agents, Power Platform, Microsoft Graph API, Azure AI Services, Azure OpenAI

Development

C#, Python, TypeScript / JavaScript, REST APIs, JSON, PowerShell

Integration

Graph Connectors, Custom Connectors, Azure Functions, Logic Apps, event-driven integration patterns

Data & Security

SharePoint Online, Dataverse, Microsoft Purview, Entra ID, access control, enterprise governance and compliance

AI Engineering

Prompt engineering, RAG patterns, LLM fundamentals, agentic AI design, reusable solution frameworks

Delivery & Consulting

Stakeholder workshops, use-case discovery, demos, training, Agile/Scrum delivery, business-value articulation

 

Preferred Skills

  • Generative AI and LLM concepts, including prompt engineering, evaluation, RAG, and agentic AI architectures.
  • Azure AI Foundry, GitHub Copilot, Microsoft 365 Agents SDK, and enterprise AI platform engineering exposure.
  • Vector search concepts, knowledge indexing, semantic search, and data grounding patterns.
  • Familiarity with Agile/Scrum delivery, DevOps practices, CI/CD, and enterprise release governance.
  • Experience in BFSI, healthcare, telecom, or other regulated enterprise environments is a plus.

 

Qualifications

  • Bachelor''''s or Master''''s degree in Computer Science, Information Technology, Artificial Intelligence, or a related discipline.
  • Microsoft certifications preferred: Copilot Studio, Power Platform, Azure AI Engineer Associate, Azure Developer Associate, or equivalent.
  • Strong communication skills with the ability to simplify technical concepts for business stakeholders.

 

Success Metrics

  • Production-grade Copilot agents delivered and adopted by business users.
  • Improvement in user productivity, self-service resolution, knowledge discovery, or workflow automation outcomes.
  • Reduction in manual effort and operational cycle time through agent-enabled automation.
  • Agent quality, reliability, adoption, CSAT, escalation rate, and Responsible AI compliance.
  • Reusable assets, patterns, and governance controls created for future agent implementations.

 

Ideal Profile for Enterprise Delivery / BFSI Context

  • The ideal candidate combines strong Microsoft AI engineering capability with enterprise integration experience, delivery discipline, governance awareness, and stakeholder-facing consulting skills. This profile is especially suitable for organizations building productivity agents, SDLC copilots, knowledge assistants, customer support agents, compliance assistants, and operational automation solutions using the Microsoft AI ecosystem.

 

Interview Focus Areas

  • Hands-on experience building Copilot Studio agents and integrating enterprise knowledge sources.
  • Ability to design secure, permission-aware, and governed AI solutions.
  • Understanding of Microsoft Graph, custom connectors, Power Automate, Azure Functions, and API integration.
  • Practical prompt engineering, grounding, evaluation, and hallucination-reduction techniques.
  • Ability to convert business processes into agent workflows and measurable success outcomes.

 

Reference Basis

 

  • This JD is aligned to Microsoft Copilot Studio guidance around cross-functional agent delivery roles and Microsoft 365 Copilot extensibility concepts including instructions, knowledge, actions, connectors, and enterprise-grade governance.

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