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Computer Network Architect Jobs in Rochester, NY

Deloitte

Databricks Manager

Rochester, NY · On-site +1

Lead solution reviews and design update discussions to drive architecture decisions and secure ... Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ...

L3HHCM20

Specialist, Software Engineering

Rochester, NY

$84K - $157K/yr

The ability to understand and work with Network storage as well as an understanding of Gigabit ... computer architecture. * 3 + years' experience with avionics lifecycle execution. In compliance ...

Paychex

AI Engineer

Rochester, NY · On-site +1

$101K - $159K/yr

... of networking, database, storage, middleware, sysadmin. Responsibilities * Design and develop ... Leverage product development expertise to design initial architecture and implementation of new ...

L3Harris

Specialist, Software Engineering

Rochester, NY

$84K - $157K/yr

The ability to understand and work with Network storage as well as an understanding of Gigabit ... computer architecture. * 3 + years' experience with avionics lifecycle execution. In compliance ...

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All JobsComputer Network Architect JobsComputer Network Architect Jobs in Rochester, NY

Computer Network Architect information

See Rochester, NY salary details

$20

$71

$92

How much do computer network architect jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for computer network architect in Rochester, NY is $71.00, according to ZipRecruiter salary data. Most workers in this role earn between $61.44 and $82.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computer Network Architect position, and why are they important?

To thrive as a Computer Network Architect, you need deep knowledge of network design, security principles, and infrastructure protocols, typically supported by a bachelor's degree in computer science or a related field. Familiarity with tools like Cisco, Juniper, or Arista platforms, alongside certifications such as CCNP or CCIE, is highly valued. Analytical thinking, problem-solving abilities, and strong communication are important soft skills for success in this role. These competencies are essential to ensure reliable, secure, and scalable network solutions that meet organizational needs.

Is network architect in demand?

Network architects are in high demand due to the increasing need for secure and efficient computer networks across industries. They typically require strong technical skills, knowledge of networking protocols, and certifications such as Cisco or CompTIA, and employment prospects are expected to grow as organizations expand their digital infrastructure.

What does a computer network architect do?

A computer network architect designs, plans, and implements computer networks for organizations, including local area networks (LANs), wide area networks (WANs), and intranets. They analyze an organization’s needs, select appropriate hardware and software, and ensure network security and performance, often using tools like network simulation software and earning certifications such as Cisco CCNA. Their work involves collaborating with IT teams and maintaining network infrastructure to support business operations.

What is the salary of a computer network architect?

The average salary of a computer network architect in the United States is around $120,000 per year, with salaries ranging from approximately $80,000 to over $160,000 depending on experience, location, and certifications. Experienced professionals with specialized skills in network design and security tend to earn higher salaries.

What are some common challenges faced by Computer Network Architects in their daily work?

Computer Network Architects often encounter challenges such as designing scalable networks to support evolving business requirements and ensuring robust cybersecurity across complex infrastructures. Staying current with rapidly changing technologies and troubleshooting unexpected network issues can also be demanding aspects of the role. Collaboration with IT teams, vendors, and management is a regular part of the job, requiring clear communication and coordination. These challenges make the role both dynamic and rewarding for professionals who enjoy problem-solving and continuous learning.

What is a Computer Network Architect job?

A Computer Network Architect designs and builds data communication networks, including local area networks (LANs), wide area networks (WANs), and intranets. They assess organizational needs, plan network infrastructures, and ensure security and efficiency. This role involves working with both hardware and software, collaborating with engineers and IT teams, and staying updated on emerging technologies.

How much does a network architect get paid?

A computer network architect typically earns a median annual salary of around $120,000, with salaries ranging from approximately $80,000 to over $180,000 depending on experience, location, and certifications. Advanced skills in network design, security, and familiarity with tools like Cisco or Juniper can influence compensation.
What are popular job titles related to Computer Network Architect jobs in Rochester, NY? For Computer Network Architect jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Computer Network Architect jobs in Rochester, NY look for? The top searched job categories for Computer Network Architect jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Computer Network Architect jobs? Cities near Rochester, NY with the most Computer Network Architect job openings:
Computer Network Architect jobs near you
Infographic showing various Computer Network Architect job openings in Rochester, NY as of June 2026, with employment types broken down into 73% Full Time, 21% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $147,684 per year, or $71 per hour.
Manager - GenAI Full Stack Developer

Manager - GenAI Full Stack Developer

Deloitte

Rochester, NY

Other

Posted 12 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on May 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on May 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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