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Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Build and deploy AI solutions (ML, generative AI, agentic workflows) in Python, integrating with enterprise systems to solve business problems and move prototypes to production.
Lead the design and deployment of AI/ML features for a commercial real estate SaaS platform, including LLM-powered tools and custom domain models, while setting engineering standards and mentoring teams.
Lead a team of data scientists to design experiments, build predictive models, and shape AI product strategy through rigorous analytics and go-to-market insights.
Build and deploy AI-powered Python full-stack applications, integrating LLMs, APIs, and MCP workflows to connect AI systems with customer platforms and data sources.
Builds and leads a Whole-of-Government GenAI chat platform, integrating LLMs, RAG, and vector search at scale while guiding engineering teams and setting responsible-AI standards.
Build and optimize generative AI systems, focusing on RAG pipelines, LLM evaluation, and enterprise-scale deployments to improve retrieval quality and reduce hallucinations.
Build and maintain full-stack web apps in TypeScript/Java/Node.js with AI integrations using LLMs, RAG, and vector databases to modernize lending workflows.
Lead the product strategy for Hearst’s enterprise AI content platform, defining capabilities like semantic search, vector embeddings, and knowledge graphs to power AI-driven search, personalization, and generative applications across the company.
In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of…
Design and deploy AI-powered cloud systems using Terraform, Kubernetes, and RAG pipelines on Azure/AWS/GCP to serve 300k users while enforcing security and compliance.
Designs and governs data architecture for global engineering platforms, digital twins, and AI-enabled solutions to improve engineering productivity and analytics at a climate-tech company.
Build and deploy GenAI/NLP pipelines for Elsevier’s life-science products, orchestrating ML workflows on AWS/Azure, managing vector/graph search, and enforcing content rights and confidentiality.
Lead generative AI and LLM projects for JPMorgan Chase, building retrieval-augmented systems, evaluations, and production pipelines using Amazon Bedrock and Cortex to improve banking operations.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power research and insights.
Own AI-powered product discovery and autonomous shopping features for B2C commerce, defining search and Agentforce workflows with engineering, data science, and UX teams.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
Build and deploy AI-native applications using LLMs, RAG, and agentic workflows in Java/Spring Boot and React, integrating with enterprise systems and cloud-native platforms.
Lead the product strategy for Hearst’s enterprise AI content platform, defining semantic search, vector embeddings, and knowledge-graph capabilities that power AI-driven search, personalization, and generative applications across media and advertising.
Build and operate secure, scalable AWS serverless services that power AI-driven features across Diligent’s governance SaaS suite, integrating LLM capabilities into production-grade solutions.
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