Senior AI/ML Solutions Architect
TrustsoftPraha, Czech Republic;
Posted January 5, 2026
Full Time
About the Company
Trustsoft is a global cloud services provider that delivers end‑to‑end solutions across the entire cloud journey, from strategy and architecture to migration, DevOps automation, security, and AI/ML. With a team of more than 130 certified Azure and AWS Advanced‑Partner architects and engineers, the company serves over 300 customers in banking, insurance, telco, pharma, retail, e‑commerce and manufacturing, ensuring compliance, governance and 24/7 technical support. Trustsoft’s differentiated approach combines industry‑specific expertise, proven landing zones, continuous integration/continuous delivery pipelines and well‑architected reviews to accelerate digital transformation. Headquartered in Zurich with offices in London and a service hub in Prague, Trustsoft supports clients worldwide with consulting, workshops, POCs and training that drive measurable business outcomes.
Job Description
Seeking a Senior AI/ML Solutions Architect to lead customer discovery, technical workshops, and solution presentations, and design robust AI/ML architectures using cloud-native services. The role involves translating business problems into actionable solution designs, communicating the value of cloud-native AI/ML to stakeholders, and supporting competitive bids and RFP/RFI responses.
Requirements
- Act as the lead AI/ML architect in customer discovery, technical workshops, and solution presentations.
- Partner with sales and business development teams to craft single or multi-cloud AI/ML proposals, SOWs, and architectural visions.
- Translate business problems into actionable solution designs spanning AWS (eventually Azure and/or GCP).
- Communicate the value of cloud-native AI/ML and Generative AI capabilities to both technical and executive stakeholders.
- Support competitive bids, RFP/RFI responses, and AWS partner programs with high-quality technical input.
- Design robust, scalable AI/ML and GenAI architectures using cloud-native services such as Amazon SageMaker, AWS Bedrock, AWS Lambda, Amazon Kinesis, Amazon Athena.
- Lead the development of ML pipelines, model training, deployment, and MLOps workflows.
- Guide implementation teams to ensure architectural quality, security, and adherence to Well-Architected frameworks across clouds.
- Develop reusable templates, accelerators, and reference architectures for multi-cloud delivery.
- Conduct architecture reviews and ensure proper AI governance, observability, and compliance.
- Mentor data engineers, machine learning engineers, and cloud architects across the organization.
- Help shape the AI/ML practice by defining standards, delivery models, and tooling strategy.
- Assist in hiring and onboarding future team members as the practice grows.
- Represent the company at cloud partner events, industry conferences, and thought-leadership activities.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
