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Senior AI Analyst builds and deploys generative AI and LLM solutions to automate workflows and extract insights for a Fortune 100 insurer, using Python, cloud platforms, and model APIs.
Lead the design and governance of enterprise-grade AI solutions for a global bank, building reusable frameworks and ensuring responsible AI adoption across regulated financial markets.
Design, build, and deploy production-grade ML models and APIs while collaborating with global teams to integrate AI solutions into client workflows.
Builds and optimizes AI model quantization tooling to deploy neural networks efficiently on Qualcomm’s Snapdragon platforms, using Python/C++ and frameworks like PyTorch.
Build and lead Python-based AI solutions, cloud deployments, and Agile delivery for enterprise clients, guiding cross-functional teams and translating business needs into scalable, secure ML systems.
Build and lead Python-based generative AI solutions using LLMs, cloud platforms, and ML pipelines while guiding cross-functional teams and translating business needs into scalable AI systems.
Lead the architecture of Lyra’s AI/ML platform, designing scalable generative-AI systems, RAG pipelines, and guardrails for mental-health care delivery.
Build and deploy LLM-powered applications for federal systems using RAG, vector databases, and AWS Bedrock/Python, focusing on scalable, secure GenAI solutions.
Design and maintain AI model benchmarks using InspectAI, curating datasets and metrics to evaluate agentic workflows and model performance in airgapped environments.
Build and deploy MLOps tooling and services for Lyra’s AI-powered mental-health platform, including training/inference pipelines, APIs, and evaluation frameworks in Python and Kubernetes.
Design and lead enterprise automation and AI systems for life insurance workflows, integrating RPA, IDP, and LLM-based agents across hybrid cloud to streamline underwriting, claims, and policy servicing.
Lead enterprise AI architecture and engineering for federal systems, defining scalable AI solutions, modernization roadmaps, and governance frameworks in compliance-heavy environments.
Lead enterprise-scale AI/ML initiatives, building and deploying Python-based models (LLMs, NLP, predictive systems) with MLOps and responsible-AI practices for federal programs like housing analytics and fraud detection.
Build and maintain scalable data pipelines and AI-enabled tools to support clinical trials, transforming complex data into actionable insights for safety, efficacy, and risk detection in a regulated biopharma environment.
About the Role You will be the primary technical partner for the most strategic enterprise accounts at a fast-growing, engineering-led AI observability platform — think Datadog, but purpose-built for LLM applications…
Build and operate AI model validation, quantization, and safety systems for Akamai’s Inference Cloud, including vulnerability scanning, optimization pipelines, and compliance guardrails.
Lead quality engineering for a cloud-based fintech platform, building AI-driven automation frameworks to test microservices, AI/ML features, and ensure robust validation across UI, API, and data layers.
Build and deploy AI-driven models and autonomous agents to optimize ad performance and monetization for publishers using large-scale data pipelines and modern ML frameworks.
Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment Retrieval pipeline with vector search, BM25 hybrid…
Build and audit cloud data pipelines for medical imaging and clinical datasets, apply ML/LLMs to oncology problems, and ensure regulatory-grade data quality and traceability.
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