Jobs at Escalent

Lead data analysis, reporting, and storytelling for Health Insurance clients. Design studies and surveys, ensure questionnaire quality, analyze results, collaborate with client teams, and produce clear, actionable deliverables on schedule.

Lead software engineering strategy, architecture, and delivery for scalable SaaS products. Direct multiple geographically distributed engineering teams, embed generative AI and intelligent agents into products, drive cloud-native and DevSecOps practices, ensure platform scalability and reliability, partner with product and executive leaders, and develop high-performing engineering organizations.

Lead enterprise AI strategy and productization for research transformation: scope, develop, test, and scale AI tools/agents, advise clients, vet third-party tools, create documentation and upskilling materials, and present outcomes to senior leadership.

Support lead consultants on client projects by moderating online communities, designing research activities, conducting qualitative and desk research, synthesizing findings into clear recommendations, writing client-facing reports, and helping nurture client relationships and presentations.

Design, build, and maintain Python-based AI applications and intelligent workflows. Integrate AI/ML models and LLM APIs, implement APIs and microservices, optimize data pipelines, ensure scalability, security, CI/CD, and collaborate across teams to deliver production-grade AI features.

Design, build, and maintain scalable, secure cloud infrastructure across AWS and Azure using Terraform, Docker, and CI/CD. Manage production environments, monitoring, security, IAM, secrets management, automation, cost optimization, and collaborate with dev/DevOps teams to ensure high availability and reliability.

Lead AI enablement across workflows and products: evaluate and pilot third-party AI tools, partner with IT and Compliance, co-develop low-code/no-code agents, design testing and rollout plans, create documentation and upskilling collateral, run demos and training, and present actionable recommendations to stakeholders to drive business impact.

Manage and engage online consumer communities to surface insights for clients: build relationships, communicate with members, design engagement activities, track and analyze participation, support account teams, and quality-check surveys and reports.

Design and oversee primary data collection (surveys), ensure data quality, perform quantitative analysis to identify trends, craft client-ready deliverables and actionable insights, and collaborate with project and client teams to interpret results.

Develop, deploy, and maintain AI-powered applications and intelligent workflows using Python in cloud-native environments. Build APIs, microservices, and data pipelines; integrate LLMs and ML models; implement retrieval/prompt-driven experiences and CI/CD; optimize performance, security, and scalability; collaborate cross-functionally and troubleshoot model and system issues.

Lead AI strategy, integration, and productization across research, consulting, and corporate workflows. Support AI product development, testing, vendor due diligence, documentation, training, and internal advisory to scale AI-driven tools and ensure ethical, effective adoption across teams.