Top Tech Jobs & Startup Jobs

Lead the digital product vision and roadmap for mobile-first and responsive experiences. Lead discovery, prioritize investments using analytics and customer insights, drive platform capability evolution, partner cross-functionally with Design, Engineering, Operations and Analytics, and manage delivery, documentation, and success metrics across multiple workstreams.

Develop and maintain complex mainframe software applications using COBOL, CICS, VSAM, and DB2. Standardize software quality assurance, oversee testing and debugging, develop fixes, investigate complaints, and recommend solutions. Design and review software aligned with business requirements, collaborate with business leaders, improve deliverable quality, and independently influence technical approaches and departmental strategy.

Build production-ready AI applications, services, APIs, reusable frameworks, and autonomous agents for enterprise quality engineering. Lead architecture and complex technical initiatives, integrate AI into software development and testing workflows, evaluate emerging technologies, and establish AI governance, security, observability, and development best practices. Partner across engineering, product, security, architecture, and data teams while mentoring engineers and shaping long-term AI strategy.

Lead discovery, prototyping, and delivery of AI/GenAI products. Define PRDs, build prototypes, scope requirements, run evaluations, partner with engineering/data/design, and shepherd solutions through enterprise AI governance to production.

Provides executive administrative support to four senior leaders, including complex calendar management, travel planning, meeting logistics, leadership events, presentations, communications, expense management, and administrative processes. The role requires strong organization, discretion, communication, judgment, and relationship-building while supporting a large technology and data organization. The employee must be based in the Boston area and work in-office regularly during standard business hours.

Provides executive administrative support to the SVP and CIO of Insurance Technology. Responsibilities include complex calendar management, travel planning, meeting and event coordination, leadership communications, presentation preparation, expense management, and stakeholder coordination. The role requires strong organization, discretion, judgment, communication, and prioritization while working regularly in-office in the Nashville area.

Sells Humana’s group dental, vision, life, and disability insurance products to employers with 50 or more eligible employees. Develops broker, agent, and consultant relationships; identifies new business and cross-selling opportunities; negotiates products and rates; delivers presentations; supports post-sale activities and enrollment; maintains CRM records; and executes territory strategies to increase sales, retention, and profitability.

Defines enterprise AI architecture, technical strategy, standards, and roadmaps while remaining hands-on with prototyping and software development. Designs scalable LLM, retrieval, agentic, orchestration, evaluation, governance, and human-in-the-loop systems. Leads model and vendor decisions, architecture reviews, platform investments, and responsible AI practices across teams. Partners with executives and regulated-industry stakeholders, mentors technical leaders, and ensures secure, reliable, compliant, observable, and cost-effective production AI systems.

Lead the architecture and hands-on development of production AI systems using LLM pipelines, retrieval, agentic workflows, structured outputs, and human review. Establish standards for evaluation, reliability, observability, security, cost, and compliance. Guide technical design across projects, mentor engineers, manage production operations, and partner with product, clinical, and operational stakeholders to deliver scalable, auditable AI solutions in a regulated healthcare environment.

Develop autonomous AI agents capable of goal setting, decomposition, planning, tool use, memory, and long-horizon execution. Build evaluation frameworks for alignment, reliability, and safety; identify goal misalignment and undesirable behaviors; and integrate agent systems with APIs, databases, search engines, and other tools. Responsibilities include designing production-ready machine learning systems, collaborating across teams, and advancing agent autonomy through planning, causal reasoning, model-based reinforcement learning, and language modeling.