Lead the architectural vision for a next-generation data layer specifically designed for Agentic AI workflows. Act as the primary technical liaison for customers while overseeing the health, security, and performance of complex hybrid-database environments.
Quantiphi
26 Remote Job Openings at Quantiphi
The Architect Machine Learning Engineer will design and deploy production-grade agentic AI systems and multi-agent workflows from the ground up. They are responsible for implementing scalable orchestration layers, managing state, and ensuring robust deployment on major cloud platforms.
Design and optimize scalable infrastructure for GenAI and LLM workloads across multi-GPU environments. Manage compute-intensive jobs using Slurm and Kubernetes while building production-grade GenAI pipelines.
The role involves designing the end-to-end blueprint for a modern enterprise data architecture to support Agentic AI. It also requires leading technical strategy and governance while managing hybrid-database environments for clients.
Drive the technical strategy and execution of the AWS AI/ML business, including leading pre-sales discussions and creating technical proposals. The role involves collaborating with AWS leadership to develop packaged offerings and delivering complex AI/ML customer engagements.
Architect and deploy production-grade agentic AI systems and multi-agent workflows using frameworks like CrewAI and Langgraph. Responsible for designing autonomous AI systems, implementing MLOps practices, and optimizing LLM performance through RAG and PEFT.
Drive strategic growth, revenue, and profitability for a portfolio of major P&C Insurance enterprise accounts. Build executive-level relationships to implement AI, data, and cloud transformation solutions that improve business outcomes.
Lead the delivery of advanced platform engineering and cloud migration solutions for clients, focusing on moving workloads from on-premise datacenters to AWS. Collaborate with the Platform Engineering team to implement scalable architectures across application development, data engineering, and machine learning.
Lead the migration and modernization of enterprise applications to AWS using rehost, replatform, and refactor strategies. Design cloud-native architectures and provide technical leadership to development teams to ensure scalable and maintainable solutions.
Design and deploy intelligent forecasting models and quotation automation agents using GCP-native services. Develop production ML pipelines and integrate model outputs into agentic workflows to drive operational efficiency.
Lead the architectural assessment and consolidation of multiple EKS clusters into a streamlined, cost-optimized multi-tenant platform. Design and implement enterprise-grade security, networking, and disaster recovery frameworks using Terraform and AWS best practices.
Design and develop scalable full-stack web applications using Java, Spring, and modern JavaScript frameworks. Collaborate with cross-functional teams to build secure backend services and optimize database performance.
Develop and execute comprehensive organizational change management strategies and communication plans for large-scale cloud migrations. Lead stakeholder engagement, training enablement, and readiness assessments to ensure successful technology adoption.
Lead strategic cloud migration roadmaps and conduct technical assessments of on-premise VMware infrastructure. Design robust cloud network security frameworks and oversee the execution of migrating complex workloads to public cloud platforms.
Lead the architectural design and implementation of scalable full-stack software solutions using .NET and ReactJS. Manage a team of developers while coordinating with clients to ensure technical requirements and delivery standards are met.
Design and build scalable full-stack applications and API-first distributed systems for Agentic AI platforms. Collaborate with AI/ML teams to integrate LLM-driven workflows, RAG architectures, and multi-agent systems into production.
Design and deploy large-scale GenAI and LLM-based solutions within cloud-based SaaS production environments for the healthcare sector. Lead technical architecture discussions, mentor senior resources, and collaborate across cross-functional teams to deliver predictive models and AI marketplaces.
Drive revenue growth and customer acquisition within the AWS Public Sector segments, including Higher Education and Government. Lead sales strategies, manage complex sales cycles, and build executive relationships within the AWS ecosystem.
Architect and implement enterprise-grade MLOps and LLMOps strategies and pipelines using GCP-native services. Serve as a technical authority to design scalable ML platforms and mentor engineers on best practices.
Architect and build full-stack, enterprise-grade platforms using modular agentic workflow patterns. Design and implement intelligent workflows while ensuring system security, scalability, and seamless enterprise integration.
Design and optimize scalable infrastructure for GenAI and LLM workloads across multi-GPU environments. Collaborate with cross-functional teams to deploy models and manage compute-intensive jobs using Slurm and Kubernetes.
Design and build scalable full-stack applications and distributed systems to power next-generation Agentic AI platforms. Collaborate with AI/ML teams to integrate LLM-driven workflows, RAG architectures, and multi-agent systems into production-grade applications.
The Technical Program Manager will lead the end-to-end execution of large-scale AI/ML programs, focusing on delivering production-grade LLM, RAG, and Agentic AI solutions while defining program roadmaps and managing governance. This role involves driving the design and implementation of scalable GenAI solutions, partnering with engineering on infrastructure, and ensuring alignment with client business objectives.
The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines for analytics and decision-making, focusing on both batch and streaming architectures using PySpark and SQL on GCP. Key duties include defining data architecture on GCP (BigQuery, Cloud Composer), designing data models for insurance data (Guidewire), and establishing data governance and quality frameworks.
The AI Solutions Sales Lead will be responsible for owning and expanding Quantiphiβs business within two F500 named accounts in the Insurance industry, focusing on building executive relationships and driving account growth strategy. This role involves leading the full sales lifecycle, identifying new opportunities, and positioning cutting-edge AI solutions to deliver measurable business value for clients.
This architect will lead the design and development of robust, scalable backend systems, focusing on defining service contracts and steering an offshore development team for the Agentic platform's backend services and APIs. Key duties include setting engineering standards, championing observability integrations, and publishing developer resources like SDKs and Postman collections.