Top Tech Jobs & Startup Jobs

Design, build, and operate AWS cloud platforms supporting production generative, agentic, and conversational AI workloads. Develop AWS CDK infrastructure in TypeScript or Python, containerized ECS services, CI/CD and GitOps workflows, AI gateways, observability, security, governance, reliability, and cost optimization capabilities. Partner with AI, data, software, and security teams to move workloads into production while supporting incident response, scalability, compliance, and developer self-service in a regulated pharmaceutical environment.

Owns software orchestration for laboratory and industrial robotics, including state models, event handling, scheduling, integrations, recovery, observability, and production releases. Translates scientist and operator requirements into reliable workflows, integrates instruments with schedulers and data services, defines data contracts, and supports validation, commissioning, UAT, and operational enablement. The role also requires documentation, secure development, automated testing, telemetry-driven reliability improvements, and collaboration with data, controls, and scientific teams.

Leads cybersecurity strategy and risk management for Commercial IT in a regulated life sciences environment. Oversees SaaS, CRM, digital experience, cloud data, API, privacy, revenue, third-party, vulnerability, audit, incident readiness, and security awareness programs. Establishes security controls and roadmaps, manages remediation and reporting, partners with business and SecOps stakeholders, and leads a BISO team responsible for measurable risk reduction and resilience.

Develop strategic executive talent pipelines for AstraZeneca’s enabling functions. Advise business and HR leaders on talent strategies, conduct market mapping and proactive scouting, support succession and workforce planning, deliver talent intelligence, and manage external search partners. The role requires collaboration in a global matrixed environment and use of sourcing technologies, ATS/CRM platforms, and AI-assisted tools.

Design, build, deploy, and operate production agentic AI and LLM applications for biologics scientists. Develop custom tools, integrations, RAG pipelines, data workflows, interfaces, monitoring, evaluation, guardrails, and authentication. Collaborate with scientists and engineering teams to connect models, enterprise data, and automated laboratory platforms using AWS, Kubernetes, and scientific computing infrastructure. Document reusable solutions while meeting security, quality, compliance, and FAIR data standards.

Leads talent strategy and employee experience initiatives across a US commercial organization. Responsibilities include talent reviews, succession planning, leadership development, employee engagement, workforce analytics, culture initiatives, change management, and organizational effectiveness. Partners with HR teams and business leaders to align enterprise people priorities with business needs, identify capability gaps, and develop action plans that strengthen engagement, inclusion, retention, and performance.

Own the vision, strategy, roadmap, lifecycle, and commercial outcomes for a new AI-native clinical research product. Lead cross-functional engineering, design, data science, and commercial teams without direct reports. Validate customer needs, launch and scale products, embed AI/ML capabilities, define success metrics, manage P&L trade-offs, ensure regulatory compliance, and drive platform connectivity across clinical development and operations workflows.

Acts as a strategic IT business partner for a pharmaceutical commercial data and technology domain. The role translates business strategy into technology roadmaps and adoption plans, influences investment decisions, supports Product and Platform teams, oversees cross-ecosystem dependencies, and resolves stakeholder conflicts. It requires senior-level relationship management, negotiation, commercial acumen, regulated-industry experience, and sufficient program delivery knowledge to unblock complex initiatives without direct authority.

Leads IT and Digital internal audit planning, execution, reporting, and oversight. Evaluates technology controls, risk management, governance, cybersecurity, cloud, data, AI, and emerging technology risks. Builds executive stakeholder relationships, communicates complex issues clearly, verifies recommendation implementation, coaches audit teams, and supports Group Internal Audit strategy and innovation.

Provides administrative and coordination support to global senior leaders and colleagues, including complex calendar, meeting, travel, expense, document, and stakeholder management across time zones. Supports projects, onboarding, visitors, and hybrid work activities. Uses Microsoft 365, SharePoint, Teams, Concur, Copilot, and other AI-enabled tools to organize work, improve processes, and automate administrative tasks.