Solvd is a 500+ person AI-native consulting firm built around Databricks, AWS (Bedrock, CDK, CloudFormation), and Python/TypeScript stacks, now adopting data protection tools (Protegrity, Thales) — a signal of deepening enterprise compliance requirements. Engineering dominates the hiring mix (59 of 104 open roles), with notable adoption of MLflow, RAG, and orchestration patterns, suggesting the firm is scaling from advisory into productized AI execution. Pain points cluster around data pipeline automation, model cost efficiency, and client adoption velocity — the exact friction points a consulting firm would hit when moving from experimentation into production at enterprise scale.
Notable leadership hires: Tech Lead Backend, Tech Lead
Solvd pairs AI advisory with hands-on digital engineering for Fortune 500 and mid-market enterprises across healthcare, life sciences, media, and retail. The firm combines research-grade talent (contributors to NeurIPS, ICML, ECCV) with practitioners building insurance models, compliance pipelines, and agentic AI solutions. Service lines span AI/data engineering, cloud infrastructure, application development, and quality engineering. The company operates across seven countries (US, Brazil, Poland, India, Ukraine, Argentina, Colombia), with accelerating hiring velocity concentrated in backend engineering and data roles.
Databricks, AWS (Bedrock, CDK, CloudFormation), Python, TypeScript, Node.js, PostgreSQL, Docker, MLflow, TensorFlow, PyTorch, scikit-learn, and GCP/Azure. Currently adopting Protegrity and Thales for data protection.
Scalable backends for insurance models, agentic AI solutions, model execution orchestration, data compliance pipelines, cloud infrastructure patterns, and CI/CD modernization. Most projects are enterprise-grade, combining AI strategy with infrastructure and application delivery.
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