Quantiphi

Architect ML Engineer serving as a senior technical leader for enterprise AI/ML initiatives, designing scalable generative AI, agentic, traditional ML, and computer vision platforms. The role combines client-facing architecture and pre-sales leadership with 25–50% hands-on prototyping, coding, and technical mentorship.

Cloud Application Architect leading enterprise application migration and modernization to AWS across rehost, replatform, and refactor initiatives. This hands-on leadership role combines architecture, full-stack development, cloud-native design, and technical mentorship.

Architect a high-performance platform for GenAI and LLM workloads across multi-GPU, cloud, and on-premises environments. The role combines GPU optimization, distributed training infrastructure, Kubernetes/OpenShift operations, and client-facing AI delivery.

The Associate Technical Architect will design, secure, and automate AWS platform infrastructure across multi-account and multi-partition environments. The role focuses on cloud security architecture, event-driven remediation, governance, secure pipelines, and integrations that improve security operations.

Technical Lead – Treasury will own solution design and hands-on remediation delivery across payment and treasury platforms, with a focus on monitoring, access governance, integrations, and operational stability. The six-month hybrid contract combines technical leadership with production support for live payment operations.

Senior Software Developer specializing in Java backend development and Guidewire ClaimCenter modernization. The role transforms Gosu customizations into scalable Java services and APIs while using AI-assisted developer tools to accelerate delivery.

Architect and build production-grade agentic AI systems and multi-agent workflows from the ground up. This onsite New Jersey role combines LLM integration, RAG, cloud deployment, observability, and enterprise-scale reliability.

Senior Machine Learning Engineer specializing in time-series forecasting will build and deploy predictive models for demand planning, using large-scale data and modern ML tooling. The role combines hands-on technical ownership with customer collaboration and requires travel to a Bengaluru client office twice weekly.