The Technical Architect will design and implement enterprise-grade MLOps and LLMOps strategies, including model training, deployment, and monitoring pipelines. They will serve as a technical authority, guiding cross-functional teams and ensuring all solutions meet scalability, security, and governance standards.
The Technical Architect will lead platform engineering initiatives and manage large-scale workload migrations from on-premise data centers to AWS. They are responsible for designing optimal migration strategies, executing lift-and-shift or replatforming tasks, and ensuring seamless transitions for client infrastructure.
The Platform Engineer will maintain system stability by resolving Tier-1 incidents, monitoring metrics, and performing routine system maintenance. They are responsible for ensuring SLA compliance and collaborating with the team to automate project workflows.
Develop and integrate GenAI and LLM-based solutions into large-scale cloud-based SaaS production environments for healthcare. Lead technical architecture design, mentor senior team members, and collaborate across functions to deliver high-impact business outcomes.
You will lead the architectural vision for cloud-based solutions and design robust pipeline infrastructure to orchestrate complex integration flows. You will collaborate with cross-functional teams and clients to ensure all solutions are scalable, secure, and aligned with business objectives.
You will act as a technical advisor to design end-to-end AI solutions and shape long-term technology roadmaps for strategic clients. Additionally, you will own the technical sales cycle, from discovery and pitching to securing high-value enterprise deals.
Lead the origination and closure of large-scale enterprise AI transformation engagements within the power, utilities, and energy sectors. Serve as a strategic advisor to C-suite executives while managing P&L and driving portfolio growth through local market dominance.
The Technical Architect will spearhead platform engineering initiatives and manage large-scale workload migrations from on-premise data centers to AWS. This role involves planning migration strategies, executing rehost and replatform tasks, and optimizing cloud infrastructure for enterprise clients.
The Associate Technical Architect will lead and collaborate with teams to solve complex data challenges for global enterprises. They will be responsible for building and optimizing data pipelines and architectures using cutting-edge cloud and AI technologies.
Design and implement scalable data warehouse and lakehouse architectures on AWS. Lead the development of resilient data pipelines and optimize query performance for large-scale datasets.
Lead and collaborate with a high-energy team to solve complex data challenges for global enterprise clients. Design and implement scalable data pipelines and optimize database performance using cutting-edge cloud and AI technologies.
You will lead the delivery of advanced solutions in platform engineering, data engineering, and machine learning for global clients. The role focuses on executing workload migrations from on-premise environments to AWS using various migration strategies and automation tools.
The Associate Technical Architect will design, test, and maintain high-volume healthcare data ingestion pipelines while ensuring secure integration with EHR systems. They will also implement data quality standards, compliance guardrails, and performance optimizations within a distributed cloud environment.
Lead end-to-end data science initiatives for predictive analytics and machine learning use cases. Design, build, and deploy scalable ML models on AWS while collaborating with cross-functional teams to ensure business impact.
You will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. Additionally, you will optimize and deploy these models on AWS infrastructure while ensuring scalability and reliability.
Lead enterprise application migration and modernization initiatives to AWS using rehost, replatform, and refactor strategies. Design and implement cloud-native architectures while providing technical leadership and mentorship to development teams.
Lead the delivery management of medium to large-scale AWS programs, ensuring financial benefits and transformational outcomes for clients. Manage and mentor a team of business analysts and engineers while driving continuous improvement in processes and service delivery.
Lead the delivery management of multi-functional large-scale programs, ensuring financial benefits and transformational outcomes for clients. Manage and mentor a team of business analysts and engineers while driving continuous improvement in processes and service delivery.
The Senior Software Developer will design, develop, and deploy scalable full-stack applications using a modern Java-based stack. They will also collaborate with cross-functional teams to build backend services, optimize database performance, and mentor junior developers.
Lead the delivery of advanced cloud migration solutions, including workload migration from on-premise environments to AWS. Collaborate with cross-functional teams to implement application development, data engineering, and machine learning strategies for global clients.
You will lead the architectural vision for cloud-based solutions and design robust pipeline infrastructure to orchestrate complex integration flows. You will also collaborate with stakeholders and cross-functional teams to ensure solutions are scalable, secure, and aligned with business objectives.
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.
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.
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.
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 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.
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.
