Cloud AI Architect Jobs in Connecticut
Cloud AI Architect jobs in Connecticut are concentrated in Hartford, Stamford, and New Haven, where financial services, insurance, and biopharma companies are investing heavily in cloud infrastructure and AI platform engineering. Aetna, United Technologies, and Yale New Haven Health are among the established Connecticut employers with sustained demand for architects who can design and govern AI-ready cloud environments. The most sought-after specialties are generative AI integration, multi-cloud governance, and MLOps pipeline architecture, with openings ranging from senior individual contributors to principal and staff-level roles. Scan the live roles below and apply to whichever ones fit.
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Introduction to the role
ASML US, including its affiliates and subsidiaries, bring together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market, and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.
Role and responsibilities
The Senior Cloud Engineer designs, builds, and optimizes cloud‑native applications and infrastructure with a strong focus on Google Cloud Platform (GCP), automation, and AI-driven capabilities. You will collaborate with engineering and business teams to deliver scalable, secure, high‑performance solutions. This role blends software engineering, cloud architecture, and operational excellence to accelerate ASML’s digital and AI transformation.
Architect, deploy, and maintain GCP-based platforms, integrating AI/ML services, data pipelines, and automated infrastructure.
Build and support cloud-native applications, including installation, patching, performance tuning, and systems hardening.
Implement monitoring, observability, and logging using tools such as Splunk and native GCP services.
Troubleshoot complex distributed systems using diagnostic tools and structured problem analysis.
Serve as Tier 1 / Tier 2 escalation for cloud and platform issues, ensuring fast resolution and clear communication.
Drive CI/CD automation, Git-based workflows, and cloud release management.
Propose and implement improvements to system performance, reliability, cloud cost efficiency, and developer experience.
Ensure compliance with IT standards, security policies, and service-level requirements.
Support engineering use cases by provisioning environments, automating workflows, and optimizing cloud resource utilization.
Perform other duties as assigned.
Education & Experience
Bachelor’s degree in Computer Science, IT, or related field; Master’s a plus.
5+ years supporting large-scale software or cloud environments.
Expertise with Google Cloud Platform (Compute, IAM, Networking, GCS, Cloud Build, GKE, AI Platform).
Experience with Azure and hybrid cloud architectures.
Strong background in:
Linux (RHEL/CentOS)
Networking (TCP/IP, UDP)
CI/CD pipelines and DevOps tools
Version control (Git/SVN)
Application lifecycle tools (Jira, Confluence, Bitbucket)
VM and storage management (NFS, SMB, ZFS, NAS)
VMware and enterprise hardware environments
Scripting expertise: Python, Bash, Perl , Ruby.
Familiarity with Agile/Scrum or SAFe methodologies.
Experience supporting AI/ML workflows a plus (e.g., model deployment, GPU workloads, data orchestration).
Skills
Strong analytical thinking, initiative, and problem-solving ability.
Effective communicator with strong customer and stakeholder focus.
Proactive, organized, and detail-oriented.
Practical mindset with the ability to assess decisions from a user-impact perspective.
Collaborative team player with high motivation and ownership.
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Other Information
This position is located on-site in Wilton, CT . It requires onsite presence to attend in-person work-related events, trainings and meetings and to further ensure teamwork, collaboration and innovation.
A flexible workplace arrangement may be available to employees working in roles conducive to remote work (up to two days a week).
Routinely required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. Occasionally required to move around the campus.
Occasionally lift and/or move up to 20 pounds.
Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
Must be willing to work in a clean room environment, wearing coveralls, hoods, booties, safety glasses and gloves for entire duration of shift.
While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch.
#LI-MO1.
Additional Responsibilities:
There is potential for exposure to strong magnetic fields, high voltage and currents.
This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.
Inclusion and diversity
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
Need to know more about applying for a job at ASML? Read our frequently asked questions .
Request an Accommodation
ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company’s reasonable accommodation process.
Please note: This email address is solely intended to provide a method for applicants to initiate ASML’s process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.
See All 33 Cloud AI Architect Jobs in Connecticut
Find roles in Connecticut that match your experience and apply in just a few clicks.
Find Cloud AI Architect JobsCloud AI Architect Jobs by City in Connecticut
Where Connecticut roles are concentrated, by current openings.
Cloud AI Architect Job Market in Connecticut
A snapshot from current Connecticut openings, updated as new roles post.
Who's Hiring
- Infosys11

- The Hartford6

- CVS Health3

- United Rentals2

- Eversource Energy2

Top Industries Hiring
- Technology & Software11
- Healthcare & Medical Services3
- Energy2
- Insurance2
- Construction & Real Estate2
What Connecticut Employers Look For
The qualifications that appear most often in cloud AI architect jobs across Connecticut.
- Bachelor's degree in computer science, engineering, or a related technical field
- Professional cloud certification from AWS, Azure, or Google Cloud Platform
- Hands-on experience designing and deploying AI or machine learning workloads in production
- Proficiency with infrastructure-as-code tools such as Terraform or Pulumi
- Knowledge of MLOps platforms, model governance, and responsible AI frameworks
- Experience with data security, cloud compliance standards, and enterprise risk policies
Cloud AI Architect Jobs in Connecticut: Frequently Asked Questions
How do you become a cloud ai architect in Connecticut?
Connecticut does not require a state-issued license to work as a cloud ai architect, so the path runs through education and vendor credentials. Most roles expect a bachelor's degree in computer science, software engineering, or information systems, followed by professional certifications from AWS, Microsoft Azure, or Google Cloud. Employers in Connecticut's financial services and healthcare sectors also value demonstrated experience with AI governance and regulated-data environments, which you can build through progressive cloud engineering roles.
Which companies hire cloud ai architects in Connecticut?
Employers hiring cloud ai architects in Connecticut right now include Infosys, The Hartford, and CVS Health, based on current listings on Migrate Mate as of July 2026. Connecticut's concentration of insurance carriers, asset managers, and large health systems means many openings require experience with regulated data, HIPAA-compliant architectures, and enterprise-scale cloud platforms.
Which Connecticut cities have the most cloud ai architect jobs?
Hartford, Stamford, and Connecticut have the most cloud ai architect openings in Connecticut. Hartford drives the largest share because it is the headquarters city for major insurance and financial services companies, while Stamford attracts demand from the Fairfield County corporate corridor, and New Haven's openings are anchored by its large academic medical center and life sciences employers.
Are there remote cloud ai architect jobs in Connecticut?
Yes, and more than most fields. About 94% of cloud ai architect openings tied to Connecticut are remote or hybrid as of July 2026, reflecting how thoroughly cloud and AI architecture work can be done from anywhere with secure tooling access. Design, strategy, and cross-team governance tasks are most often performed remotely, while on-site presence is occasionally required for regulated industries such as healthcare or defense contracting.
How can I get hired as a cloud ai architect in Connecticut with little or no experience?
The most realistic entry path is moving from a cloud engineer or DevOps engineer role into architecture responsibilities, since Connecticut employers in insurance and healthcare routinely promote from within. Large Hartford-area employers and Yale New Haven Health run technology associate and rotational programs that place early-career candidates on cloud infrastructure teams. Building a portfolio around AI deployment projects, earning an associate-level cloud certification, and targeting cloud engineer or solutions engineer titles gives you the clearest runway into an architect role.
Where can I find and apply to cloud ai architect jobs in Connecticut?
You can find and apply to cloud ai architect jobs in Connecticut on Migrate Mate, which lists current Connecticut openings updated in real time. Search the available roles, identify the ones that match your background and location preference, and apply directly through each listing without any additional signup required.
See All 33 Cloud AI Architect Jobs in Connecticut
Find roles in Connecticut that match your experience and apply in just a few clicks.
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