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AI & Cloud Solutions Engineer
AstraZeneca
Chennai, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
AI solution engineeringAWSTerraformCloud engineeringDevOps and DevSecOpsSoftware engineering
Free
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AI solution engineeringAWSTerraform
Role Overview
The role turns enterprise AI into practical outcomes through AI engineering, cloud platforms, and DevOps automation.
The engineer will deliver AI assistants, agents, copilots, and intelligent workflow automation across the enterprise.
The team uses Veeva AI, Amazon Bedrock, LangChain, Semantic Kernel, MCP, and AWS services to build secure and scalable solutions.
Key Skills for This Role
AI solution engineeringAWSTerraformCloud engineeringDevOps and DevSecOpsSoftware engineering
Full Job Posting
Introduction to Role
The role turns enterprise AI into practical outcomes through AI engineering, cloud platforms, and DevOps automation.
The engineer will deliver AI assistants, agents, copilots, and intelligent workflow automation across the enterprise.
The team uses Veeva AI, Amazon Bedrock, LangChain, Semantic Kernel, MCP, and AWS services to build secure and scalable solutions.
Accountabilities
- Design, build, deploy, and support AI-enabled business solutions, assistants, agents, copilots, and intelligent workflow automation.
- Build and implement Retrieval Augmented Generation solutions using enterprise knowledge and business data.
- Evaluate and leverage Veeva AI, Amazon Bedrock, LangChain, Semantic Kernel, MCP, and related services.
- Develop secure integrations between AI solutions, enterprise applications, SaaS platforms, and data services using APIs.
- Provision, configure, and manage AWS services using Terraform for resilience, security, scalability, and cost efficiency.
- Deploy and support containerised and serverless applications across development, testing, and production environments.
- Build and maintain CI/CD pipelines, infrastructure automation, and DevSecOps controls.
- Monitor production systems, lead incident remediation, implement SLOs and telemetry, and improve platform reliability.
- Embed security-by-design, guardrails, auditability, data governance, and Responsible AI principles.
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