Top Tech Jobs & Startup Jobs

Design, build, and deploy production-grade AI/ML and agentic systems (multi-agent workflows, RAG, memory, evaluation-driven development). Collaborate with data science, platform, and cloud teams to implement scalable MLOps, observability, ETL pipelines, model serving, and CI/CD on AWS/GCP. Mentor junior engineers and contribute to SDKs, starter packs, and enterprise AI architecture and standards.

Design and deliver end-to-end AI/GenAI solutions (RAG, chat/agents, forecasting, recommendations); build domain knowledge bases and regulatory filing automation; manage unstructured data, retrieval, prompt/agent design, evaluation, monitoring, synthetic data, and MLOps integrations while ensuring compliance and stakeholder alignment.

Design and deliver end-to-end AI/ML and Generative AI solutions (RAG, chat/assistants, classification, forecasting, recommendations). Build domain knowledge bases, handle unstructured data/OCR, author prompts and agents, ensure responsible AI and compliance, operationalize models into production, monitor evaluation and drift, generate synthetic data, and collaborate with stakeholders and platform teams for scalable, secure deployments.

Design, build, and deploy end-to-end AI/ML and generative solutions (RAG, chat/assistants, classification, forecasting, recommendations). Engineer domain knowledge bases, ensure compliance and responsible AI, prepare unstructured data, design retrieval and prompt/agent systems, evaluate/monitor models, generate synthetic data, and partner across product, operations, and platform teams for scalable production integration.

Design, build, and deploy production-grade AI/ML and agentic systems (multi-agent workflows, RAG, evaluation, memory, prompt optimization). Collaborate with data science, platform, MLOps, and cloud teams to implement scalable, observable solutions and CI/CD, and mentor junior engineers.

Design, build, and deploy production-grade AI/ML and agentic AI solutions (multi-agent workflows, RAG, evaluation harnesses). Implement backend inference services, ETL/ELT pipelines, observability, and cloud deployments. Collaborate with data science, platform, and DevOps teams, mentor junior engineers, and contribute to AI architecture, SDKs, and reusable agent starter packs.

Design and deliver end-to-end AI/ML and generative solutions (RAG, chat/assistants, classification, forecasting, recommendations). Build domain knowledge bases, ensure compliance and responsible AI, handle unstructured data and retrieval, design prompts/agents, evaluate/monitor models, generate synthetic data, deploy models in enterprise environments, and collaborate with stakeholders and platform teams.

Design and drive end-to-end, AI-first digital solutions and reference architectures across cloud, APIs, microservices, and front-end platforms. Provide technical leadership to agile teams, ensure security and cost-conscious modernizations, and align technology strategy with business goals.

The Southeast Region Lead oversees P&L management for Auto, Home, and Umbrella products, driving growth and profitability across direct and agency channels, while managing state-specific strategies and team performance.

The Advisor Consultant increases market share and assets by building relationships with financial advisors, conducting presentations, and growing territory business.