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Cloud Engineer

AI/ML Technical Architect Lead

Jobgether

Remote

Apply on the employer's site

Role description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Technical Architect Lead based in Switzerland.
This is a senior, hands-on technical leadership role focused on transforming advanced AI and machine learning capabilities into secure, scalable, production-ready solutions.

You will shape AI/ML strategy and architecture while directly contributing to model development, deployment, integration, and operationalization.

The role combines solution architecture, software engineering, MLOps, cybersecurity, and responsible AI practices.

You will work on complex decision-support, automation, and predictive analytics initiatives in highly regulated environments.

You will also guide cross-functional teams, advise senior stakeholders, and help move innovative prototypes into reliable operational systems.

The position offers the opportunity to work with modern technologies including AWS, SageMaker, Bedrock, RAG, agentic AI, and leading ML frameworks.

You will play a key role in ensuring that AI solutions are secure, explainable, compliant, and aligned with demanding enterprise and mission requirements.

Accountabilities

  • Lead AI/ML strategy, solution architecture, technical implementation, and modernization initiatives across complex programs.
  • Design, develop, integrate, and deploy scalable AI/ML models and intelligent systems supporting decision-making, automation, productivity, and operational readiness.
  • Lead the development of predictive analytics capabilities, automation frameworks, and intelligent decision-support solutions.
  • Provide hands-on technical leadership throughout the AI/ML development lifecycle, from experimentation and prototyping through production deployment and ongoing optimization.
  • Oversee data engineering pipelines, MLOps processes, model lifecycle management, validation, monitoring, explainability, and bias mitigation.
  • Integrate AI/ML capabilities into secure enterprise and restricted environments while incorporating cybersecurity, data governance, ethical AI, and compliance requirements into development workflows.
  • Support security risk management activities, including threat assessments, authorization documentation, configuration management, incident response documentation, audits, and governance reviews.
  • Ensure AI/ML solutions align with applicable risk management and cybersecurity frameworks and maintain continuous compliance.
  • Collaborate with security teams, business owners, technical stakeholders, and program leadership to deliver secure and effective AI solutions.
  • Advise leadership on emerging AI technologies, practical mission applications, modernization opportunities, and responsible AI practices.
  • Help transition experimental and prototype AI capabilities into reliable, scalable production systems.
  • Mentor junior engineers and provide technical guidance across multidisciplinary teams.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical discipline; a Master’s degree or PhD is preferred.
  • 10+ years of progressive experience in AI/ML, data science, software engineering, advanced analytics, or a closely related field, including substantial hands-on experience with modern AI technologies.
  • At least 5 years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments, including experience with MLOps practices.
  • Demonstrated ability to personally develop AI/ML solutions rather than focusing exclusively on architecture or management.
  • Strong programming skills in Python, R, Java, or comparable languages.
  • Deep knowledge of machine learning frameworks such as TensorFlow or PyTorch, ideally with implementation experience using AWS SageMaker.
  • Experience integrating AI/ML solutions into secure enterprise environments and working within cybersecurity, data governance, regulatory, and compliance requirements.
  • Practical experience building AI products or functional prototypes using Retrieval-Augmented Generation (RAG) and agentic AI technologies.
  • Experience with cloud platforms, preferably AWS, with Azure or Google Cloud experience also considered.
  • Familiarity with AI services such as AWS Bedrock, Azure AI Foundry, or Google Vertex AI.
  • Experience implementing AI solutions in secure, restricted, regulated, or highly governed environments.
  • Ability to obtain Public Trust clearance and meet applicable background eligibility requirements.
  • Must have lived in the United States for at least 3 of the last 5 years.
  • Experience with enterprise-scale Salesforce solutions is preferred, particularly Agentforce implementations.
  • Familiarity with AI governance, responsible AI, modernization programs, and enterprise transformation initiatives is advantageous.
  • Experience supporting U.S. federal agencies, particularly healthcare or public-sector organizations, is preferred.
  • Experience with AWS GovCloud, Azure Government, Zero Trust architectures, or comparable secure-cloud environments is a strong advantage.
  • Strong communication, stakeholder management, problem-solving, mentoring, and technical leadership skills.

Benefits

  • Estimated salary range of $204,000–$276,000, with actual compensation determined by experience, geographic location, and applicable contractual considerations.
  • Comprehensive medical plan options, including plans with Health Savings Accounts.
  • Dental and vision insurance options.
  • 401(k) plan with company matching and pre-tax and post-tax contribution options.
  • Paid time off, including vacation, sick, personal, holiday, parental, military, bereavement, and jury-duty leave.
  • Typically 15 days of paid leave per calendar year for vacation, personal business, and illness, plus 10 paid holidays.
  • Paid family leave of up to 160 hours within a rolling 12-month period for eligible employees.
  • Short- and long-term disability coverage, life insurance, accidental death and dismemberment coverage, and other insurance options.
  • Flexible work arrangements designed to support work-life balance.
  • Career development resources, including AI-powered career planning and learning opportunities.
  • Internal mobility support to help employees pursue long-term career goals.
  • Opportunities to work with advanced AI, cloud, cybersecurity, and software technologies on complex, high-impact initiatives.
  • Collaborative environment with opportunities to mentor others and influence technical strategy.
  • Full-time schedule of 40 hours per week, with limited travel of less than 10%.

How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Cloud Engineer

Senior Infrastructure Engineer, AI/ML Systems

Portfolium (Acquired by Instructure)

Remotefulltime

Apply on the employer's site

Role description

At Instructure
, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.

We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

Our AI team is where a lot of that gets built: applying advanced AI to real problems in learning, and turning research into product capabilities that educators and students use every day.

This is a hands-on delivery role. You'll build the deployment path that takes models and AI services from prototype to production, and you'll keep them running once they're there. You'll be one of two engineers who own infrastructure for this team, which means wide scope, real ownership, and direct influence over how we build.

You'll work closely with data scientists, applied AI engineers, and product partners to turn advanced AI ideas into reliable product capabilities used at scale.

What You'll Do

  • Build and operate deployment pipelines for AI services, covering CI/CD, infrastructure-as-code, environment promotion, and rollback
  • Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production
  • Partner with data scientists and applied AI engineers to take prototypes into production, including system design for net-new services
  • Own production reliability for AI services: monitoring, alerting, debugging, performance, and cost
  • Spot repeated patterns and turn them into reusable templates, so the team can ship its second and third variant of something without rebuilding it

What You'll Need

  • Six or more years in infrastructure, DevOps, platform, or ML engineering, with ownership of systems running in production
  • Deep hands-on experience across a wide range of AWS services, including compute, networking, storage, deployment, and monitoring
  • Infrastructure-as-code experience (Terraform, CDK, or CloudFormation)
  • Experience with containers and modern deployment patterns (Docker required, Kubernetes or ECS/EKS a plus), applied to CI/CD pipelines you've designed and operated for production services
  • Experience with orchestration and workflow tooling (Airflow, Dagster, Argo, Step Functions, or similar)
  • Comfort working through ambiguity and collaborating directly with data scientists and researchers

It Would Be a Bonus If You Had

  • Experience with ML platform components and data pipeline orchestration at scale
  • Experience running LLM-based or retrieval-based systems in production
  • Experience operating specialized data stores, including graph databases
  • Experience building internal tooling, templates, or reference implementations that other engineers adopted

Onsite Collaboration Requirement:
This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of our company’s in-person collaboration model.

Why Join Us

Join us and help shape the future of education by turning cutting-edge AI into reliable product capabilities.

At Instructure, we're on a mission to help educators and students learn together, anytime, anywhere, and however works best. You'll join our research-driven team tackling education's biggest challenges with cutting-edge technology.

We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you'll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth.

Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
  • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
  • Comprehensive wellness programs and mental health support
  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
  • The technology and tools you need to do your best work
  • Motivosity employee recognition program
  • A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Cloud Engineer

Senior Infrastructure Engineer, AI/ML Systems

Instructure

Remotefulltime

Apply on the employer's site

Role description

At Instructure
, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.

We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

Our AI team is where a lot of that gets built: applying advanced AI to real problems in learning, and turning research into product capabilities that educators and students use every day.

This is a hands-on delivery role. You'll build the deployment path that takes models and AI services from prototype to production, and you'll keep them running once they're there. You'll be one of two engineers who own infrastructure for this team, which means wide scope, real ownership, and direct influence over how we build.

You'll work closely with data scientists, applied AI engineers, and product partners to turn advanced AI ideas into reliable product capabilities used at scale.

What You'll Do

  • Build and operate deployment pipelines for AI services, covering CI/CD, infrastructure-as-code, environment promotion, and rollback
  • Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production
  • Partner with data scientists and applied AI engineers to take prototypes into production, including system design for net-new services
  • Own production reliability for AI services: monitoring, alerting, debugging, performance, and cost
  • Spot repeated patterns and turn them into reusable templates, so the team can ship its second and third variant of something without rebuilding it

What You'll Need

  • Six or more years in infrastructure, DevOps, platform, or ML engineering, with ownership of systems running in production
  • Deep hands-on experience across a wide range of AWS services, including compute, networking, storage, deployment, and monitoring
  • Infrastructure-as-code experience (Terraform, CDK, or CloudFormation)
  • Experience with containers and modern deployment patterns (Docker required, Kubernetes or ECS/EKS a plus), applied to CI/CD pipelines you've designed and operated for production services
  • Experience with orchestration and workflow tooling (Airflow, Dagster, Argo, Step Functions, or similar)
  • Comfort working through ambiguity and collaborating directly with data scientists and researchers

It Would Be a Bonus If You Had

  • Experience with ML platform components and data pipeline orchestration at scale
  • Experience running LLM-based or retrieval-based systems in production
  • Experience operating specialized data stores, including graph databases
  • Experience building internal tooling, templates, or reference implementations that other engineers adopted

Onsite Collaboration Requirement:
This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of our company’s in-person collaboration model.

Why Join Us

Join us and help shape the future of education by turning cutting-edge AI into reliable product capabilities.

At Instructure, we're on a mission to help educators and students learn together, anytime, anywhere, and however works best. You'll join our research-driven team tackling education's biggest challenges with cutting-edge technology.

We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you'll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth.

Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
  • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
  • Comprehensive wellness programs and mental health support
  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
  • The technology and tools you need to do your best work
  • Motivosity employee recognition program
  • A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Cloud Engineer

Senior DevOps Engineer with Golang (f/m/x)

Sii Poland

Remote

Apply on the employer's site

Role description

We are looking for a skilled Senior DevOps Engineer to join a project focused on enhancing and modernizing client's cloud platform. This role offers the flexibility of remote work, allowing you to contribute to significant improvements in cloud infrastructure and automation processes. If you are passionate about cloud technologies and automation, this opportunity may be the right fit for you.

Your tasks

  • Building and maintaining platform integrations and automation workflows
  • Developing solutions using Go/Golang to enhance cloud operations
  • Implementing Infrastructure as Code using Terraform
  • Integrating cloud APIs for VMware, Azure, and AWS platforms
  • Creating and managing CI/CD pipelines to streamline deployments
  • Utilizing PowerShell and Bash scripting for automation
  • Managing Kubernetes and container platforms for efficient application deployment
  • Applying configuration management tools like Ansible to maintain system integrity

Requirements

  • Minimum 5 years of experience in DevOps or cloud engineering
  • Hands-on mastery of Go/Golang development
  • Experience with VMware and cloud API integrations
  • Knowledge of AWS or Azure services
  • Advanced level of English

Nice to have

  • Practical experience in Azure and/or AWS platform engineering
  • Familiarity with Ansible or similar configuration management tools
  • Strong command of Terraform and Infrastructure as Code principles
  • Familiarity with CI/CD platforms and automation pipelines
  • Experience with Kubernetes and container orchestration

Job no. JOB-R8PYA

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You

  • Great Place to Work
  • Solid financial situation
  • Contracts with the biggest brands
  • Centre of internal trainings
  • Many experts you can learn from
  • Open and accessible management team
  • Profit sharing
  • Passion Sponsorship program
  • Regular integration events and trips
  • Comfortable and well-equipped offices
  • MySii app
  • Medical care

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

That is every opening in this category and country

AI/ML Technical Architect LeadJobgether

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