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System Architect Engineer Jobs in Connecticut (NOW HIRING)

ASML Germany GmbH

Vacuum System Engineer

Wilton, CT · On-site

$120 - $180/hr

Lead the ASML Wilton Engineer guild for machine conditioning architecture and vacuum systems competence onsite. * Translate the overall system design into a gas‑flow and vacuum architecture that ...

New

Socket.dev

Vacuum System Engineer

Wilton, CT · On-site

$120 - $170/hr

Lead the ASML Wilton Engineer guild for machine conditioning architecture and vacuum systems competence onsite. * Translate the overall system design into a gas-flow and vacuum architecture that ...

New

ASML

Vacuum System Engineer

Wilton, CT · On-site

$103K - $141K/yr

Lead the ASML Wilton Engineer guild for machine conditioning architecture and vacuum systems competence onsite. * Translate the overall system design into a gas-flow and vacuum architecture that ...

Saxon Global

Technology Architect - DevOps

Hartford, CT · On-site

$66.75 - $88/hr

... System - SVN, GIT, Stash and Clear Case o Build - Maven, Nexus, Ant, Makefile o Code Quality ... DevOps solution Experience in validating CICD implementation and auditing to provide assessment ...

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All JobsSystem Architect Engineer JobsSystem Architect Engineer Jobs in Connecticut

System Architect Engineer information

What is the difference between System Architect Engineer vs Network Architect?

AspectSystem Architect EngineerNetwork Architect
CredentialsBachelor's in Engineering, certifications like TOGAF, CISSP (optional)Bachelor's in Computer Science or related, Cisco certifications (CCNA, CCNP)
Work EnvironmentDesigning and integrating complex systems, often in IT or engineering firmsDesigning and planning enterprise network infrastructure
Industry UsageIT, aerospace, defense, manufacturingTelecommunications, IT, large enterprise networks
Common Search/ComparisonYesYes

The main difference is that a System Architect Engineer focuses on designing and integrating complex systems across various industries, while a Network Architect specializes in planning and designing network infrastructure. Both roles require technical expertise and certifications, but their focus areas differ significantly.

What is the salary of a system architect engineer?

The average salary of a system architect engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud computing, security, or enterprise architecture may earn higher compensation. Certifications like TOGAF or AWS can also influence salary levels.

What are popular job titles related to System Architect Engineer jobs in Connecticut?

For System Architect Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching System Architect Engineer jobs in Connecticut look for?

The top searched job categories for System Architect Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for System Architect Engineer jobs?

Cities in Connecticut with the most System Architect Engineer job openings:

System Architect Engineer jobs near you
Infographic showing various System Architect Engineer job openings in Connecticut as of June 2026, with employment types broken down into 2% Locum Tenens, 91% Full Time, 2% Part Time, 3% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Design System Architect

Talent Software Services, Inc

Newington, CT • On-site

Other

Posted 4 days ago

Job description

Title: Design System Architect
Duration: 6 months
Location: Remote
Overview

A UX/CX Design Architect is responsible for bridging the gap between user experience (UX), customer experience (CX), business strategy, and technology. Unlike standard designers who focus on a single screen or product, an architect designs the comprehensive ecosystem, framework, and strategy that governs how a customer interacts with a brand across every physical and digital touchpoint.

Key ResponsibilitiesAI Strategy & Solution ArchitectureExperience & Ecosystem Architecture
  • Cross-Channel Strategy: Map complete customer lifecycles across web, mobile, physical spaces, and support channels.
  • Ecosystem Blueprinting: Create macro-level user workflows, service blueprints, and structural ecosystem models.
  • Journey Mapping: Visualize complex user touchpoints to eliminate system friction and operational silos.
  • North Star Vision: Define the long-term interaction vision and align product teams around future-state experiences.
Generative & Multi-Modal Interaction Architecture
  • Intent-Based Design: Transition system navigation away from static tabs to dynamic interfaces that adapt instantly based on natural language or context.
  • Multi-Modal Workflows: Map seamless experiences across voice, text, gesture, and computer vision touchpoints.
  • Proactive Experience Frameworks: Define how systems anticipate customer needs through predictive analytics without feeling invasive.
Governance, Scale, and DesignOps
  • Design Systems: Architect scalable component libraries, tokens, and framework patterns for cross-platform consistency.
  • Design Operations: Standardize methodologies, research practices, and collaboration tools across decentralized teams.
  • Dynamic Design Systems: Build design system tokens and component libraries that can scale across fluid, AI-generated layouts and variable text lengths.
  • Agentic Workflows: Map blueprints for multi-agent systems, detailing how independent AI agents hand off tasks to one another and back to human agents.
  • Experience Quality: Establish UX/CX quality metrics (KPIs) to audit products for usability and performance.
  • Accessibility Leadership: Ensure all architectural frameworks comply with global accessibility standards (WCAG).
Research Synthesis & Business Alignment
  • Data-Driven Insights: Translate complex user research data into practical, actionable structural frameworks.
  • Behavioral Personas: Build dynamic user personas based on quantitative metrics and qualitative behavioral studies.
  • Stakeholder Advocacy: Champion customer centricity to executive leadership using ROI, retention, and satisfaction metrics.
  • Tech Feasibility: Partner with Enterprise Architects and Engineers to align design visions with technical realities.
Required Skills and QualificationsAI & Technical Mastery
  • Cognitive UX & IA: Mastery of information architecture suited for unstructured data and large-scale semantic vector spaces.
  • Prompt & Context Engineering UX: Deep understanding of how context windows, prompt formatting, and retrieval-augmented generation (RAG) impact the speed and presentation of UI text.
  • Familiarity with AI Tech: Strong working comprehension of LLMs, neural networks, computer vision, and API constraints.
Leadership & Soft Skills
  • Systems Thinking: Ability to map unpredictable, non-linear user journeys where the system output changes with every prompt.
  • Ambiguity Management: Comfort in designing for emerging paradigms where standard, established design patterns do not yet exist.
  • Ethical Framework Facilitation: Experience leading workshops centered around bias mitigation and inclusive AI design.
  • Information Architecture: Deep mastery of data structuring, content modeling, and complex navigational taxonomy.
  • Service Design: Proven capability in modeling back-end operational workflows that power front-end user experiences.

Job Location: Work At Home

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