Quantiphi

Client Partner

• Own and drive end-to-end sales cycles for CCaaS and CX transformation opportunities in a B2B environment
• Define CX transformation strategies covering automation, personalization, and AI-led augmentation across the customer lifecycle
• Lead consultative selling engagements focused on cost optimization, CSAT improvement, revenue uplift, and agent productivity
• Prepare and deliver technical and business presentations on AI-driven CX transformation
• Lead discovery, problem definition, journey mapping, experience redesign, solution architecture, and roadmap development
• Demonstrate and prototype virtual agents, conversational AI, agent assist, real-time guidance, contact center analytics, and enterprise integrations
• Identify and qualify opportunities across contact center and broader CX ecosystems
• Drive intelligent self-service, agent augmentation, omnichannel orchestration, voice and conversation intelligence, and customer journey analytics use cases
• Design scalable architectures using CCaaS platforms such as Genesys Cloud CX, NICE CXone, Five9, and Amazon Connect
• Collaborate with Solution Architects, Data Science, and Engineering teams to translate business problems into AI-driven solutions, develop offerings, and build reusable accelerators and GTM assets
• Recommend enterprise architectures, integration strategies, and platform ecosystems on Google Cloud and other hyperscalers
• Stay current on GenAI, conversational AI, and CX platform trends
• Build and maintain executive-level customer relationships as a trusted advisor
• Travel to customer sites, conferences, and industry events as required

Senior Client Solutions Partner

Full-stack Engineer

• Determine, order, and execute key engineering deliverables across the software development lifecycle
• Partner with business stakeholders to refine and iterate on functional requirements
• Architect and build scalable, high-performance web applications using Java and Spring Boot
• Deliver high-quality, maintainable, and efficient code
• Drive operational efficiency through automation and custom scripting tools
• Perform deep-system analysis to troubleshoot and resolve complex technical issues
• Execute validation and verification using test-driven development methodologies
• Engage in peer code reviews to ensure quality, maintain standards, and share knowledge
• Collaborate with cross-functional teams and external partners to enhance solution performance
• Upgrade application stacks with modern technologies and frameworks
• Remediate high-severity security vulnerabilities
• Provide on-call coverage, production incident response, and root-cause resolution for critical platform services

Associate Architect – Software Developer

• Determine, prioritize, and manage engineering deliverables across the complete software development lifecycle
• Partner with business stakeholders to refine technical product specifications
• Architect and deliver robust applications using high-performing, maintainable, clean code
• Streamline operational workflows and repetitive engineering tasks through automation scripts and tools
• Troubleshoot, analyze, and optimize complex software systems for high performance
• Execute validation and testing using test-driven development practices
• Conduct peer code reviews and participate in continuous-improvement feedback sessions
• Collaborate with internal engineering units and external partners to enhance solution architecture
• Keep application stacks aligned with modern technical standards and industry best practices
• Architect, build, and optimize scalable web applications in a Java-based microservices architecture
• Lead software development from design and API implementation through testing and performance optimization

• Design, build, and scale robust platform services, APIs, microservices, and React applications
• Drive architectural and technical decisions for critical business and healthcare platforms
• Partner with Product and Clinical teams to understand complex workflows and develop effective solutions
• Own the reliability, scalability, performance, and quality of production systems
• Apply automated testing, CI/CD, observability, and Infrastructure as Code
• Leverage AI-augmented development tools throughout the software development lifecycle
• Participate in code reviews, production support, incident response, and on-call responsibilities
• Mentor engineers and contribute to technical direction and engineering best practices
• Build scalable platform services connecting fragmented clinical systems and enabling real-time care coordination across healthcare facilities and users

Architect – Software Developer

AI Engineer

• Build and modernize enterprise data and AI ecosystems
• Design, build, and maintain scalable real-time streaming pipelines
• Implement data and AI pipelines for structured, semi-structured, and unstructured data supporting AI and Agentic solutions
• Prepare data using extraction, chunking, embedding, and grounding strategies
• Design data domains and data products for reporting, data science, AI/ML, and analytics
• Design and implement Retrieval-Augmented Generation (RAG) architectures integrated with enterprise data infrastructure
• Lead prototypes, experiments, and recommendations involving GenAI technologies
• Model domain entities, relationships, and business logic in knowledge graphs
• Integrate multi-source data with canonical representation and semantic consistency
• Develop and validate synthetic data workflows for agent evaluation
• Implement AI-driven data engineering productivity improvements and automated data quality frameworks
• Design scalable semantic layers and real-time analytics capabilities for conversational analytics
• Integrate semantic layers with AI/LLM platforms for secure, low-latency, context-rich data access
• Monitor, alert, and manage incidents to ensure pipeline and system reliability, availability, and scalability
• Implement redundancy, fault tolerance, and disaster recovery strategies
• Collaborate with DevOps and infrastructure teams on deployment, operation, and maintenance
• Mentor junior team members and lead communities of practice
• Develop and optimize graph database queries, including Cypher and SPARQL
• Design and apply GenAI solutions for insurance-specific data use cases
• Partner with architects and stakeholders to implement the vision for AI and data pipelines

Data & AI Engineer

Backend Engineer

• Design and implement enterprise-grade Generative AI solutions using AWS Bedrock and AgentCore
• Define architecture for LLM-based applications, including RAG pipelines and agentic workflows
• Develop and orchestrate agentic AI workflows for multi-step reasoning, tool use, and task automation
• Build and manage RAG pipelines with embeddings, retrieval mechanisms, and vector databases
• Integrate LLM capabilities into enterprise applications through APIs and backend services
• Design and optimize prompt engineering strategies
• Work with structured and unstructured data sources for knowledge-driven AI applications
• Evaluate, monitor, and optimize models for latency, cost, and response quality
• Collaborate with application, data, and platform teams on end-to-end solution delivery
• Define security, governance, and responsible AI best practices
• Troubleshoot and resolve production GenAI system issues
• Provide technical leadership and mentor team members while remaining hands-on

Senior Client Solutions Partner

Associate Architect – Software Developer

Associate Architect – Software Developer

Architect – Software Developer

Data & AI Engineer

Technical Architect – ML, GenAI