Top Tech Jobs & Startup Jobs

Provides executive, administrative, and Bangalore site operations support to senior leadership across global time zones. Responsibilities include calendar and travel coordination, leadership meetings, conferences, hybrid events, budgets, expenses, vendor and contract administration, facilities requests, executive communications, documentation, and employee engagement activities. The role partners with global and local teams, manages confidential information, supports site visits, and improves processes through templates and automation.

Design, prototype, and deliver applied ML and agentic systems using generative AI and multi-source scientific data to improve clinical trial design. Integrate historical trials and real‑world data into production systems, ensure evaluation and regulatory-appropriate guardrails, deploy cloud-based services, and communicate results to technical and non-technical stakeholders while contributing to engineering and data science best practices.

Leads global infrastructure security engineering across OT, endpoints, email, networks, and cloud environments. Defines strategy, governance, roadmaps, and operating models while directing solution delivery, automation, risk reduction, resilience, and metrics. Manages and develops a distributed security engineering team, partners with technology, manufacturing, compliance, and Cyber Defense groups, and embeds secure-by-design controls. The role requires enterprise security leadership, technical expertise across infrastructure security domains, regulated-environment experience, and the ability to translate threats into scalable engineering outcomes.

Provides hands-on technical leadership for humanoid robotics use cases, including architecture, validation, perception, manipulation, motion planning, and physical-system deployment. Acts as AstraZeneca’s internal technical anchor and primary partner contact, reviewing external engineering work and ensuring GMP-ready quality. Develops robotics systems using ROS/ROS 2, Python, C++, simulation environments, vision, sensing, and sensor fusion. Collaborates in an evolving, regulated pharmaceutical manufacturing environment.

Leads the design, deployment, and adoption of AI-powered tools, computational workflows, and research data infrastructure for oncology discovery. Acts as an AI Architect, establishes data standards and best practices, develops agentic and LLM-integrated solutions, and extracts insights from complex biological datasets. The role collaborates across wet-lab science, data science, R&D IT, and platform teams while mentoring colleagues, influencing technical strategy, and presenting scientific and technical findings.

Build enterprise platform capabilities including reusable GitHub Actions, Terraform modules, secure CI/CD pipelines, and DevSecOps automation. Develop Python or Golang tooling, integrate security controls such as SAST, DAST, SCA, and SBOM generation, and support cloud, containerized, serverless, and hybrid environments. Define infrastructure testing strategies, create architecture documentation, and drive adoption across engineering teams while improving developer experience and secure software delivery.

Provide technical direction for enterprise-scale AI applications and platforms. Define architectures, standards, governance, security, reliability, and cost controls across Generative AI, machine learning, data, and cloud systems. Lead architecture reviews, reusable platform capabilities, model evaluation, guardrails, observability, and responsible AI practices. Translate strategy into roadmaps, influence cross-functional adoption, evaluate technology partners, pilot emerging technologies, and mentor senior engineers and technical leads.

Design, develop, validate, and maintain Qlik Sense and Power BI dashboards, data models, and reporting layers. Build SQL tables and views in Snowflake, optimize query performance, validate data quality, translate business requirements into technical specifications, document data lineage and reporting processes, and support ad hoc analytical requests. Collaborate with business stakeholders and technical teams to improve reporting efficiency and enable data-driven commercial decision-making.

Lead enterprise AI architecture for agentic AI, foundation models, and scalable platforms across cloud and hybrid environments. Define reference architectures, governance, integration, RAG/vector databases, MCP interoperability, and MLOps patterns. Partner with research, product, security, and data teams to translate strategy into production-ready solutions that comply with pharmaceutical regulations and deliver measurable business outcomes.

Provide SAP FI/CO functional consulting: troubleshoot and resolve issues, gather requirements, design and configure enhancements, own p2p and otc integrations (IDocs/Z developments), produce functional specs and test plans, support period-end close and controls, engage finance/procurement teams, and drive automation and cloud-enabled improvements.