AI & Cloud Solutions Engineer
AstraZeneca20 hours ago
Chennai, IndiaMid Level / Senior
Responsibilities
- Design, build, deploy, and support AI-enabled business solutions, assistants, agents, copilots, and intelligent workflow automation.
- Build Retrieval Augmented Generation solutions using enterprise knowledge and business data.
- Evaluate and use Veeva AI, Amazon Bedrock, LangChain, Semantic Kernel, MCP, and related services to select balanced architectures.
- Develop secure integrations between AI solutions, enterprise applications, SaaS platforms, and data services.
- Provision, configure, and manage AWS services using Terraform with attention to resilience, security, scalability, and cost efficiency.
- Deploy and support containerized and serverless applications across development, testing, and production environments.
- Build and maintain CI/CD pipelines, infrastructure automation, and DevSecOps controls.
- Monitor and remediate production systems, implement SLOs and telemetry, and improve platform reliability.
- Embed security, data governance, auditability, and Responsible AI principles into solutions.
- Create documentation, reusable engineering patterns, standards, and governance controls.
- Collaborate with product owners, architects, and business stakeholders to guide solutions from MVP through scale.
Requirements
- Bachelor’s or master’s degree or equivalent experience in computer science, IT, software engineering, cloud computing, AI, or a life sciences subject area.
- 4–6 years of relevant IT experience.
- Experience in cloud engineering, platform engineering, DevOps, software engineering, integration engineering, or solution engineering.
- Experience developing business applications, APIs, or integration solutions.
- Hands-on experience with AWS cloud services and Terraform.
- Experience with Python, Java, JavaScript/TypeScript, React, or similar technologies and modern development frameworks.
- Experience building backend services with FastAPI, Node.js, or similar frameworks.
- Understanding of generative AI, large language models, prompt engineering, AI agents, and RAG architectures.
- Experience with Amazon Bedrock, LangChain, Semantic Kernel, MCP, or similar AI platforms.
- Experience implementing and supporting CI/CD pipelines.
- Knowledge of software engineering, testing, security, data governance, and Responsible AI principles.
- Experience with Git, Docker, infrastructure automation, and cloud-native application delivery.
- Experience using Jira, Confluence, and other Agile DevOps tools.
- Preferred experience with Veeva Vault, Veeva AI, Veeva integrations, AI-agent orchestration, Amazon Bedrock Agents, Bedrock Knowledge Bases, enterprise-scale RAG, vector databases, semantic search, MCP clients or servers, Microsoft Power Platform, Power Automate, life sciences or regulated environments, and AWS, Terraform, cloud, AI, or related certifications.
Benefits
- Work with a global, cross-functional team of engineers, product leaders, data specialists, and domain experts on solutions that support patients and enterprise operations.
- Opportunity to work with modern cloud and AI technologies and see solutions adopted across a global enterprise.
- Supportive environment emphasizing diversity, inclusion, ethical practices, ownership, professional growth, and collaboration.
- Date posted: 30-Sept-2026; closing date: 13-Oct-2026.
- Reasonable accommodations are available for applicants and employees with disabilities.
Tech Stack
Categories
About AstraZeneca
AstraZeneca is a global biopharmaceutical company that discovers, develops, manufactures, and commercializes prescription medicines for patients and healthcare systems. Its portfolio spans oncology, cardiovascular, renal and metabolism, respiratory and immunology, and rare diseases (expanded by the 2021 acquisition of Alexion). Founded in 1999 and headquartered in Cambridge, UK, it is a public company listed on the London Stock Exchange and Nasdaq, generating revenue primarily from drug sales and partnerships.