Jobs at Photon

Designs and manages Qualtrics in-product intercept surveys, targeting workflows, directories, and data collection. Analyzes user behavior, product performance, and survey feedback; builds dashboards and communicates actionable insights to product, UX, and leadership teams. Collaborates with qualitative researchers, data engineering, and development teams to integrate survey data with behavioral analytics platforms and enable access to behavioral datasets across B2B and B2C products.

Define and lead enterprise-wide AI/ML architecture strategy, standards, governance, reference architectures, and adoption roadmaps. Design scalable architectures for generative AI, LLM applications, RAG, AI agents, MLOps, data platforms, cloud infrastructure, security, and enterprise applications. Lead technology evaluations, architecture reviews, modernization strategies, responsible AI controls, vendor decisions, and transformation programs while advising executives and technical teams.

The Senior UX Designer will create user-centered wireframes, prototypes, and mockups; conduct research and usability testing; use data and AI tools to improve workflows; facilitate design workshops; communicate design decisions to stakeholders; document requirements; and collaborate with engineering on implementation. The role advocates for users, contributes to design standards and frameworks, and delivers intuitive end-to-end experiences.

Build and deliver backend enterprise web applications for Citi's Integrated Digital Assets Platform using Java/Spring and web3 technologies. Collaborate with distributed teams, follow best practices and design patterns, write technical documentation, resolve issues, and ensure scalability, reliability, and performance.

Design, develop, and maintain scalable full-stack web applications using Java/Spring Boot backends and React frontends. Build RESTful APIs and microservices, implement responsive UIs, write tests, participate in code reviews, troubleshoot production issues, and contribute to CI/CD and DevSecOps practices.

Design, build, and maintain responsive, high-performance React web applications. Create reusable UI components, integrate with REST/GraphQL backends, optimize performance and cross-browser compatibility, participate in code reviews and sprints, and collaborate with designers, backend, QA, and DevOps to deliver enterprise-scale features.

Design, build, and maintain secure, high-performance RESTful APIs and microservices using Java and Spring Boot. Collaborate with cross-functional teams, implement API security (OAuth2/JWT/OpenID Connect), optimize databases, integrate messaging systems, write unit/integration/API tests, participate in code reviews and architecture decisions, troubleshoot production issues, and contribute to CI/CD and DevSecOps practices.

Lead end-to-end UX design: create wireframes, prototypes and mock-ups (Figma); conduct user research and usability testing; use data and AI tools to inform decisions; present to stakeholders; facilitate workshops; integrate design systems into engineering workflows and ensure smooth handoffs.

Operate and monitor ML/AI models and agentic systems in production. Build AI observability, logging, tracing, and evaluation pipelines. Monitor LLM outputs, detect drift and model degradation, and maintain data/feature pipelines. Develop CI/CD, model versioning, experiment tracking, and automate alerts and incident remediation while collaborating with data scientists and platform teams.

Lead design, development, and deployment of production-grade Generative AI applications (LLM-based chatbots, agents, RAG systems). Hands-on coding in Python, integrate and benchmark models, build ingestion and vector retrieval pipelines, design architecture for performance and cost, mentor engineers, and implement AI governance, safety, and monitoring.

Design and maintain reusable UI components, patterns, and shared libraries in Figma. Define system-level AI interaction patterns and UX for AI-assisted workflows, document guidance, ensure accessibility, and collaborate with designers, engineers, and product managers to drive consistent implementation across products.

Design, build, and deploy production-grade Generative AI applications: multi-agent systems, advanced RAG pipelines, LLM integration and swapping, model fine-tuning and quantization, scalable FastAPI backends, containerized deployment, and monitoring/optimization for latency, cost, and reliability.

Lead design and delivery of enterprise Pega BPM/case management solutions. Architect and develop on Pega Infinity (24.x+), Constellation/Cosmos and Pega 8.x upgrades, integrate with RDBMS/Oracle, DX APIs and Pega Cloud/AWS, and support deployment, decisioning, and stakeholder-facing delivery in financial services.

Build and deploy generative AI solutions: develop production-grade Python code, LLM-based systems, agent frameworks, RAG pipelines with vector databases, APIs, cloud deployments, and MLOps practices while ensuring model evaluation, guardrails, and observability.

Lead design, delivery and implementation of scalable production software across a complex, regulated environment. Drive DevOps/CI-CD, GitOps, containerization, Kubernetes and IaC adoption, improve incident/problem management and observability, coach teams, implement Agile, and manage senior stakeholders to ensure reliable, high-scale services.

Design, build, and deploy agentic AI and multi-agent systems using LangChain/LangGraph and ADKs. Implement LLM orchestration, RAG pipelines, vector DBs, React-based AI interfaces, and production-grade infrastructure with observability, security, and optimization.

Lead architecture, design, and delivery of Generative AI and ML solutions. Build scalable ML pipelines, LLM and RAG-based applications, vector DB integrations, and agent workflows. Drive MLOps, CI/CD, observability, security, and enterprise model orchestration. Provide technical leadership, mentor engineers, run Agile development, and shape AI strategy through POCs and platform innovation.

Lead migration from AEM 6.5 to AEMaaCS: assess implementations, architect cloud-native components, manage content migration with CTT, redesign dispatcher, implement CI/CD via Adobe Cloud Manager, modernize integrations, train teams, and provide post-migration support and technical documentation.

Design and implement data federation and lakehouse architectures, build scalable ETL/ELT pipelines with Python and Spark, optimize performance across federated queries, manage Delta/Iceberg/Hudi tables, and enforce governance, security, and access controls for analytics and AI teams.

Own product vision and roadmap for a cloud-native data platform on GCP. Translate business needs into epics and user stories, prioritize ETL/ELT, databases, streaming, and BI work, coordinate onshore/offshore teams, ensure data governance, quality, and analytics readiness, and drive adoption of Snowflake and DOMO-based analytics.