AI & Cloud Solutions Engineer

Design, build, deploy, and support AI-enabled business solutions including assistants, agents, copilots, and intelligent workflow automations that simplify processes and improve decision-making.

Develop and manage cloud-native AI platforms and integrations using AWS services, Terraform, APIs, and containerized/serverless deployments providing scalable, secure, and cost-efficient solutions.

Implement DevOps/DevSecOps automation, platform reliability practices, and embed security, data governance, and Responsible AI principles in AI solutions with end-to-end ownership from MVP to scale.

Bachelor’s or master’s degree or equivalent in Computer Science, IT, Software Engineering, Cloud Computing, AI, or related life sciences subject.

4–6 years of relevant experience in Cloud Engineering, Platform Engineering, DevOps, Software or Integration Engineering, or Solution Engineering.

Hands-on experience with AWS cloud services, Terraform, development using Python, Java, JavaScript/TypeScript, REST APIs (FastAPI, Node.js), and CI/CD pipeline implementation.

Good understanding and practical experience with Generative AI, Large Language Models, Prompt Engineering, AI Agents, RAG architectures, and related AI platforms such as Amazon Bedrock, LangChain, Semantic Kernel, or MCP.

Experienced in building enterprise-scale AI solutions integrating cloud, AI, and DevOps engineering to deliver measurable operational improvements across business workflows.

Comfortable working with modern AI frameworks and cloud-native infrastructure to quickly iterate from prototype to production with security and compliance focus.

Familiar with life sciences or regulated environments and capable of collaborating with product owners and architects to translate complex requirements into scalable AI solutions.