Top Tech Jobs & Startup Jobs in Boston, MA

Work with a business domain to map workflows, design agent-driven workflows, build and integrate agent and automation pipelines, deploy and run agents in production, monitor KPIs and observability, and iterate with human-in-the-loop checkpoints to reliably improve business outcomes.

Lead test architect for end-to-end integration testing of a complex genomics product portfolio. Design contract-first validations (OpenAPI/Avro), build resilient API and event-driven test frameworks, embed LLM-driven test generation and log analysis into CI/CD, mentor SQEs, enforce staging guardrails, and run chaos/resiliency experiments across distributed microservices.

Design, build, and productionize agentic LLM workflows to improve clinical data extraction quality and reliability. Integrate AI capabilities into production pipelines, ensure scalability and cost-effectiveness, develop evaluation/monitoring for safe deployment in regulated environments, and lead technical design and delivery with cross-team collaboration.

Lead and own training and development for Patient Coordinators, Billing Call Center, Patient Experience, and Document Control. Build strategy, integrate AI, design and deliver onboarding and continuous learning, manage training team, and use data analytics and KPIs to measure ROI and improve performance while ensuring healthcare compliance.

Own and operate the Workday platform across HCM, Payroll, Recruiting, Prism, and Illuminate. Configure modules, build reports and integrations (EIB, Studio, APIs, RaaS), manage security models, tenant lifecycle, release readiness, analytics, automation, and compliance while partnering with HR, Payroll, Finance, and IT stakeholders.

The Senior Generative AI Engineer will design and deploy AI/ML solutions, focusing on Generative AI systems and their operational excellence across various sectors like R&D and Clinical Trials.

Embed with a business domain to map workflows, design agent-enabled future-state processes, build and connect production automation (LLMs, agents, RAG), run and monitor agents with observability and evals, and partner with domain leaders to deliver measurable KPI improvements.

Design and manage the voice AI architecture, developing multi-agent systems and real-time audio pipelines to enhance patient interactions and outcomes in healthcare.