Manage, maintain, and optimize mission-critical SQL Server databases hosted on AWS EC2 to support high-availability trading applications. Ensure system performance, security, and reliability through proactive monitoring, incident resolution, and disaster recovery planning.
Design and maintain cloud-native data pipelines and data lake architectures in Snowflake to support asset-based finance and portfolio analytics. Manage end-to-end data platform migrations and ensure financial data integrity while coordinating with cross-functional teams.
The Lead Software Developer will design, develop, and deploy scalable, distributed backend services and intuitive user interfaces for AI-driven solutions. They will also collaborate with cross-functional teams to integrate machine learning models and mentor junior developers to ensure technical excellence.
Lead the architecture, design, and execution of complex, enterprise-grade applications while bridging technical vision and delivery. Coordinate cross-functional initiatives and mentor engineers to foster technical depth and maintain high engineering standards.
The Technical Program Manager will partner with engineering and product leadership to define program objectives, build integrated roadmaps, and drive technical implementation plans. They are responsible for managing cross-functional alignment, ensuring operational readiness, and providing visibility into project status, risks, and metrics.
Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments. Collaborate with cross-functional teams to deploy models and build robust GenAI pipelines for production-grade applications.
Design and implement scalable infrastructure for GenAI and LLM workloads across multi-GPU environments. Collaborate with cross-functional teams to optimize performance and support production-grade AI deployments.
Design and optimize scalable infrastructure for GenAI and LLM workloads across multi-GPU environments. Collaborate with cross-functional teams to manage compute-intensive jobs and deploy production-grade AI solutions.
The Senior Data Governance SME will define and evangelize the enterprise data governance vision, strategy, and roadmap while chairing Data Governance Councils. They will also lead cross-functional teams to implement data privacy programs, AI governance frameworks, and data quality initiatives across complex global environments.
The MLOps Architect will design and implement end-to-end MLOps and LLMOps strategies, including scalable pipelines for model training, deployment, and monitoring. They will serve as a technical authority, guiding cross-functional teams and ensuring production-grade reliability across cloud-native AI/ML platforms.
Lead deep-dive assessments and design architecture for complex system migrations and microservices decomposition. Define data-flow strategies, Kafka topologies, and orchestration state machines to support large-scale digital transformation.
Design, develop, and deploy scalable full-stack applications using Java, Spring, and modern front-end technologies. Collaborate with cross-functional teams to build backend services, optimize database performance, and mentor junior developers.
Design and deliver enterprise-grade GenAI solutions using AWS Bedrock and Agentcore. Define architecture for LLM-based applications, manage RAG pipelines, and orchestrate agentic AI workflows.
The Technical Architect will design and implement enterprise-grade MLOps and LLMOps strategies, ensuring scalable and reliable model pipelines. They will serve as a technical authority, guiding cross-functional teams through architecture reviews and the implementation of production-ready AI/ML solutions.
The Technical Architect will lead platform engineering initiatives and manage large-scale workload migrations from on-premise data centers to AWS. They will be responsible for designing optimal migration strategies, troubleshooting infrastructure issues, and empowering clients to maximize cloud benefits.
Lead the end-to-end delivery of large-scale Generative AI programs, including LLM, RAG, and Agentic AI solutions. Manage program roadmaps, stakeholder alignment, and cross-functional teams to ensure measurable business outcomes and high-impact delivery.
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.
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.
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.
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.
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.
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.
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 AI Solutions Sales Lead will be responsible for owning and expanding Quantiphi’s 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.
