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Remote Computer Science Jobs in Niagara Falls, NY

Solutions Architect

Buffalo, NY · On-site +1

$150K - $180K/yr

Fully Remote or Hybrid if Local - Buffalo, NY Moog's Corporate Group is looking for a Solutions ... A bachelor's degree in engineering, computer science, or related field * Over eight (8) years of ...

Fully Remote or Hybrid if Local - Buffalo, NY Position Summary The Atlassian-JIRA Administrator ... Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information ...

Lead Architect

Buffalo, NY · Remote

$160K - $180K/yr

Bachelor's degree in Computer Science, Engineering, Business or related discipline; equivalent ... LI-Remote #LI-LM1 Zones offers a comprehensive Benefits package While we're committed to providing ...

Lead Architect

Buffalo, NY · Remote

$53.50 - $73.50/hr

Bachelor's degree in Computer Science, Engineering, Business or related discipline; equivalent ... LI-Remote #LI-LM1 Zones offers a comprehensive Benefits package While we're committed to providing ...

Project Mechanical Engineer V

Buffalo, NY · On-site +1

$123K - $154K/yr

... science and technology. HERE'S WHAT YOU'LL DO * Perform and direct complex design of ductwork ... Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or ...

Mechanical II

Buffalo, NY · On-site +1

$70K - $83K/yr

... and science and technology. HERE'S WHAT YOU WILL DO * Perform designs of ductwork, piping ... Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or ...

Mechanical IB

Buffalo, NY · On-site +1

$67K - $74K/yr

... commercial and science and technology. HERE'S WHAT YOU WILL DO * Under supervision of a ... Experience in computer applications for engineering design programs (i.e. Revit, Trane Trace or ...

Buffalo, NY (Remote) Employment: Temp (6 months) Industry: Banking Compensation: $74.98/hr. Schedule: 40 hours/week About the Opportunity: * Provides designs, specifies information systems solutions ...

Buffalo, NY (Remote) Employment: Temp (11 months) Industry: Banking Compensation: $65.00/hr. Schedule: 40 hours/week About the Opportunity: * Provides designs, specifies information systems solutions ...

Showing results 21-34

Remote Computer Science information

What are remote computer science jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

What are the key skills and qualifications needed to thrive as a remote computer science professional?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.
What are the most commonly searched types of Computer Science jobs in Niagara Falls, NY? The most popular types of Computer Science jobs in Niagara Falls, NY are:
What cities near Niagara Falls, NY are hiring for Remote Computer Science jobs? Cities near Niagara Falls, NY with the most Remote Computer Science job openings:
Infographic showing various Remote Computer Science job openings in Niagara Falls, NY as of August 2026, with employment types broken down into 5% Internship, 61% Full Time, 14% Part Time, and 20% Contract. Highlights an 100% Remote job distribution.

Enterprise Architect AI Platform & Generative AI (Mythos Foundation)

Imagine Staffing Technology

Buffalo, NY • Remote

$66.75 - $86.25/hr

Full-time

Re-posted 13 days ago


Job description

Job Title: Enterprise Architect – AI Platform & Generative AI (Mythos Foundation)
Location: Remote (Within USA)
Hire Type: Contract
Pay Range: Competitive Hourly Rate
Work Model: Remote with periodic travel to Buffalo, NY
Schedule: Monday – Friday, Standard Business Hours
Recruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.net
NO C2C, NO sponsorship given at this time
Nature & Scope:
Positional Overview
Our client is seeking an experienced Enterprise Architect to lead the strategic architecture and evolution of its enterprise AI platform, known as Mythos. This role will define the future-state architecture, governance frameworks, standards, and reusable design patterns that enable scalable, secure, and responsible adoption of artificial intelligence across the organization.
The Enterprise Architect will serve as the architectural leader for enterprise AI initiatives, partnering closely with security, risk, data, infrastructure, platform engineering, and business stakeholders to establish a comprehensive AI platform strategy. This individual will be responsible for defining conceptual and logical architectures, developing enterprise roadmaps, and ensuring AI capabilities are aligned with business objectives, regulatory requirements, and operational needs.
This position is ideal for a senior architecture professional with deep experience in enterprise architecture, AI platforms, cloud technologies, governance frameworks, and emerging technology strategy.
Role & Responsibility:
Tasks That Will Lead To Your Success
Enterprise Architecture Leadership
  • Define and maintain the enterprise architecture vision, roadmap, and target-state design for the Mythos AI platform.
  • Develop conceptual, logical, and high-level physical architecture patterns for enterprise AI adoption.
  • Establish enterprise standards, governance models, and reusable architecture frameworks supporting AI capabilities.
  • Collaborate with executive leadership and technology stakeholders to align AI strategy with business priorities.
  • Communicate architecture vision, technology tradeoffs, and strategic recommendations to senior leadership.
  • Participate in enterprise architecture governance and strategic planning initiatives.
AI Platform Strategy & Governance
  • Define architecture standards for model access, model lifecycle management, telemetry, observability, and AI governance.
  • Establish enterprise guardrail frameworks supporting responsible AI adoption.
  • Develop architectural controls addressing security, compliance, privacy, risk, and ethical AI considerations.
  • Create decision frameworks supporting model selection and deployment strategies.
  • Define fit-for-purpose guidelines balancing cost, performance, risk, latency, and business value.
  • Drive the evolution of enterprise AI platform capabilities and adoption patterns.
Architecture Planning & Innovation
  • Research emerging technologies, AI platforms, and industry trends to identify opportunities for enterprise adoption.
  • Develop architecture roadmaps that support long-term scalability and innovation.
  • Partner with business and technology leaders to evaluate new platform capabilities and strategic initiatives.
  • Promote reuse of enterprise services, platforms, and architecture patterns.
  • Provide architectural guidance supporting future AI-enabled business solutions.
AI Telemetry & Observability
  • Define enterprise observability standards for AI systems and platforms.
  • Establish architecture patterns supporting visibility into model behavior, usage, performance, and risk indicators.
  • Develop governance frameworks for monitoring model activity and enforcing usage policies.
  • Support architecture strategies for preventing misuse, bias, data leakage, and regulatory exposure.
Cross-Functional Leadership
  • Partner with security, risk, compliance, data, platform engineering, and application development teams.
  • Provide architecture consultation and technical leadership across multiple initiatives.
  • Support solution architects and engineering teams through architecture reviews and governance activities.
  • Ensure architectural consistency across AI, cloud, infrastructure, and business application domains.
Skills & Experience
Qualifications That Will Help You Thrive
Required Experience
  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related discipline.
  • 7+ years of experience in Enterprise Architecture, Solution Architecture, or Technology Strategy.
  • Experience developing enterprise architecture roadmaps and target-state architectures.
  • Strong understanding of AI platforms, cloud technologies, and enterprise software architecture.
  • Experience establishing governance, standards, and architecture frameworks.
  • Knowledge of software engineering, application integration, and cloud-native architectures.
  • Ability to communicate effectively with executive leadership and technical teams.
  • Strong analytical, strategic planning, and decision-making skills.
Preferred Qualifications
  • Graduate degree in a technical or business discipline.
  • Experience supporting Generative AI, LLM, or AI platform initiatives.
  • Cloud certifications within Azure, AWS, or Google Cloud.
  • Enterprise Architecture certifications (TOGAF or equivalent).
  • Experience working within highly regulated industries.
  • Financial services experience preferred.
  • Familiarity with AI governance, responsible AI, and model risk frameworks.
Team & Environment
  • Partners with executive leadership, enterprise architecture, security, risk, and engineering teams.
  • Serves as the primary architecture lead for enterprise AI platform strategy.
  • Provides guidance to Solution Architects and technical delivery teams.
  • Operates within a highly collaborative and cross-functional environment.
  • Significant visibility with senior technology leadership.
Work Schedule & Travel
Schedule
  • Monday – Friday
  • Standard business hours
  • Flexible remote work environment
Travel
  • Occasional travel to Buffalo, NY
  • Approximately every 4–6 weeks as required
Compensation & Benefits
  • Competitive hourly compensation
  • Long-term contract engagement
  • Remote work flexibility
  • Opportunity to influence enterprise-wide AI strategy and adoption
Why Join This Opportunity?
This is a unique opportunity to shape the future of enterprise AI adoption within a large-scale organization. The successful candidate will define architecture strategy, governance, and platform evolution while helping drive responsible, scalable, and impactful AI capabilities across the enterprise.