Jobs at Quantiphi

Leads delivery of large-scale AWS and digital transformation programs, overseeing planning, execution, reporting, risk mitigation, quality, and customer outcomes. Manages multi-functional teams of business analysts and engineers, develops product and service roadmaps, drives continuous improvement, and resolves customer issues. The role also involves people management, recruiting, coaching, business development, stakeholder communication, and aligning program portfolios with organizational strategy.

Architect and implement enterprise-grade MLOps/LLMOps platforms on AWS and Kubernetes. Design ML/LLM pipelines for training, validation, deployment, monitoring, governance, CI/CD, and observability. Serve as technical authority, conduct architecture reviews, ensure security and compliance, and mentor engineering teams across projects.

Design and deliver enterprise-grade generative AI solutions on AWS using Bedrock, AgentCore, SageMaker, LLMs, RAG pipelines, vector databases, and agentic workflows. Build scalable APIs and integrations, optimize prompts and models, evaluate performance, and implement security and governance. Collaborate with application, data, and platform teams, troubleshoot production systems, define best practices, and mentor engineers while remaining hands-on.

Design, implement, and support secure, scalable Azure platform solutions. Lead cloud migration and legacy application modernization, including containerization on AKS. Build Terraform-based infrastructure and GitHub Actions CI/CD pipelines, manage Azure services, networking, identity, databases, monitoring, and production support. Troubleshoot incidents, perform root cause analysis, document architectures and runbooks, collaborate across technical teams, and mentor junior engineers.

Audits data pipelines, optimization outputs, and promotional recommendations for anomalies, data drift, integrity issues, and commercial feasibility. Performs root-cause analysis, scenario modeling, and pre- and post-event evaluations of promotional ROI, cannibalization, halo effects, and trade-spend efficiency. Collaborates with engineering, data science, optimization, UI/UX, and client teams to improve data feeds, model logic, and RGM tool adoption.

Design, build, and optimize large-scale batch and real-time data pipelines using Python, SQL, Spark, PySpark, and Databricks. Manage lakehouse environments, Delta Lake, Unity Catalog, cloud migrations, CI/CD automation, infrastructure provisioning, and containerized processing. Develop data APIs and collaborate with stakeholders to create technical architectures and insights. Mentor team members and support data platform projects in an Agile environment.

Designs, builds, and productionizes healthcare knowledge graph solutions using LPG and RDF technologies. Develops FHIR data transformation and ingestion pipelines, ontology mappings, entity linking, provenance tracking, graph queries, and automated validation. Translates semantic specifications into scalable implementations while collaborating with ontology, terminology, clinical, FHIR, and data engineering teams. Participates in technical design, architecture reviews, code reviews, and engineering best practices.

Coordinate enterprise information management and SharePoint remediation initiatives across business units. Manage PII remediation, content cleanup, migrations, governance, stakeholder decisions, dependencies, risks, issues, action items, status reporting, and executive updates. Facilitate meetings and maintain operating cadence while ensuring sensitive-information activities meet privacy and compliance requirements.

Design and maintain Snowflake-based data platforms, cloud-native data lakes, and scalable ETL/ELT pipelines for asset-backed finance analytics. Orchestrate workflows with Dagster and AWS services, ensure data reconciliation and integrity, and support migration from legacy systems. Contribute to project planning, Jira backlog management, testing, cutover planning, and cross-functional go-live readiness.

Design and maintain Snowflake data pipelines and data lake architectures for asset-based finance analytics. Develop ETL/ELT workflows, validate and reconcile financial data, migrate legacy systems, and translate quantitative finance logic into scalable architectures. Support project execution through requirements breakdown, planning, testing, cutover, and go-live readiness. Collaborate across engineering, quantitative analytics, and stakeholder teams.

Designs and scales infrastructure for GenAI and LLM workloads across multi-GPU, Slurm, Kubernetes, and OpenShift environments. Responsibilities include GPU profiling, distributed training optimization, NVIDIA stack enablement, GenAI pipeline deployment, infrastructure automation with Terraform and Helm, and collaboration with data science, MLOps, and application teams. The role also supports client engagements and may involve healthcare interoperability technologies such as FHIR, HL7, SMART on FHIR, and Epic.

Leads enterprise AI architecture for generative AI, agentic systems, traditional machine learning, and computer vision. Designs secure, scalable platforms; establishes MLOps and LLMOps standards; prototypes and writes production code; leads client solutioning and pre-sales; ensures regulatory compliance; mentors architects and engineers; and governs technical standards across strategic engagements.

Designs and secures AWS platform infrastructure using Terraform and CloudFormation. Builds event-driven security automation with EventBridge, Lambda, and Systems Manager; integrates Security Hub and GuardDuty with Jira; enforces tagging and governance across AWS accounts and partitions; manages Firewall Manager, secure CI/CD pipelines, compliance standards, account vending, and incident-response automation. Collaborates with platform, network, and security teams to establish architecture patterns, remediation workflows, and security controls.

Designs and leads enterprise-scale AI, generative AI, RAG, and agentic AI architectures. Evaluates models, vector databases, retrieval strategies, and agent frameworks; establishes engineering standards for observability, evaluation, testing, and deployment. Guides teams through technical delivery, conducts architecture and code reviews, mentors engineers, communicates technical decisions to stakeholders, and defines technology roadmaps. Requires expertise in enterprise AI architecture, LLMOps, fine-tuning, reinforcement learning, architecture governance, and cloud architecture across GCP and Azure.

Leads technical design and hands-on delivery for treasury and payment-platform remediation across WebSeries, EF, Bankware, and Kyriba. Designs payment monitoring, ETL, integrations, anomaly detection, access governance, MFA, encryption, and audit controls. Supports production systems and formal change management while coordinating developers, vendors, Treasury, Risk, Audit, and Architecture stakeholders. Ensures solutions are tested, stable, documented, and auditable.

Develop and maintain Java backend services, APIs, and microservices within Guidewire ClaimCenter. Lead Gosu-to-Java transformation initiatives using LLM developer tools, analyze ClaimCenter configurations and integrations, and collaborate with insurance stakeholders. Responsibilities include architecture, code reviews, mentoring, testing, CI/CD, documentation, troubleshooting, and performance optimization. The role requires strong Java, Guidewire ClaimCenter, Gosu, REST, and software engineering expertise, with preferred experience in cloud, messaging, containers, and insurance claims workflows.

Lead cloud migration and platform engineering efforts, designing AWS architectures and migration plans from on-prem VMware to AWS. Perform migration assessments, tooling selection, wave planning, dependency analysis, security/compliance alignment, OS and database troubleshooting, and optimize post-migration performance while collaborating with stakeholders and platform teams.

Leads enterprise CCaaS and customer experience transformation sales, from opportunity qualification through solutioning and deal closure. Develops CX strategies, architectures, roadmaps, and AI-driven use cases involving conversational AI, agent assist, analytics, and omnichannel engagement. Builds executive customer relationships, delivers technical and business presentations, manages complex stakeholders and partner ecosystems, and collaborates with architecture, data science, and engineering teams. The role requires 50% travel to customer sites and industry events.

Leads software product development projects and advanced analytics, machine learning, and technology solution delivery. Responsibilities include gathering requirements, defining problems, creating user stories, managing project teams and client expectations, preparing technical documentation, applying Agile and Scrum methodologies, identifying risks, consulting clients, and developing creative solutions and presentations.

Administer and optimize Workday HCM, including business processes, workflows, calculated fields, security, reports, dashboards, tenant configuration, and release management. Partner with stakeholders to implement enhancements, troubleshoot issues, perform testing, maintain system integrity, and support end users. The role also requires ticketing and case management experience, strong analytical and communication skills, and familiarity with multiple Workday modules.