Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We’re looking for a Senior AI Platform Engineer to help design, build, and scale our AI and data infrastructure. In this role, you’ll focus on architecting and maintaining cloud-based MLOps pipelines to enable scalable, reliable, and production-grade AI/ML workflows, working closely with AI engineers, data engineers, and platform teams. Your expertise in building and operating modern cloud-native infrastructure will help enable world-class AI capabilities across the organization.
If you are passionate about building robust AI infrastructure, enabling rapid experimentation, and supporting production-scale AI workloads, we’d love to talk to you.
What you will do
Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics.
Develop infrastructure-as-code using tools like Cloudformation, AWS CDK to ensure repeatable and secure deployments.
Collaborate with AI engineers, data engineers, and platform teams to improve the performance, reliability, and cost-efficiency of AI models in production.
Drive best practices for observability, including monitoring, alerting, and logging for AI platforms.
Contribute to the design and evolution of our AI platform to support new ML frameworks, workflows, and data types.
Stay current with new tools and technologies to recommend improvements to architecture and operations.
Integrate AI models and large language models (LLMs) into production systems to enable use cases using architectures like retrieval-augmented generation (RAG).
What you bring
7+ years of professional experience in software engineering and infrastructure engineering.
Extensive experience building and maintaining AI/ML infrastructure in production, including model, deployment, and lifecycle management.
Strong knowledge of AWS and infrastructure-as-code frameworks, ideally with CDK.
Expert-level coding skills in TypeScript and Python building robust APIs and backend services.
Production-level experience with Databricks MLFlow, including model registration, versioning, asset bundles, and model serving workflows.
Expert level understanding of containerization (Docker), and hands on experience with CI/CD pipelines, orchestration tools (e.g., ECS) is a plus.
Proven ability to design reliable, secure, and scalable infrastructure for both real-time and batch ML workloads.
Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members.
Strong collaboration skills and the ability to partner effectively with cross-functional teams.
When you join Solvd, you'll…
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
Be part of a global team with equal opportunities for collaboration across continents and cultures.
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Apply Now