Home/Jobs/AI & Cloud Solutions Engineer

AI & Cloud Solutions Engineer

AstraZeneca

Chennai

4-6 years

Today

$28.9K–41.0K/yr

Full-time

Onsite

Skills Required LLM

RAG

LangChain

Gen AI

Prompt Engineering

Agentic AI

Vector Database

Amazon Bedrock

MCP

Semantic Kernel

Veeva AI

Veeva Vault agent orchestration semantic search technologies

AWS

Description AstraZeneca India is seeking a skilled AI Solution Engineer to develop and deploy AI-enabled business solutions that improve operations and patient outcomes. The role involves working with cutting-edge AI, cloud, and DevOps technologies in a collaborative, high-performing team.

Company: AstraZeneca India

Role: AI Solution Engineer

Location: Bengaluru or Chennai

Experience

- 4–6 years of relevant experience in IT
- 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 developing applications using Python, Java, JavaScript/TypeScript, React, or similar technologies
- Experience building REST APIs and backend services using FastAPI, Node.js, or similar frameworks
- Experience implementing and supporting CI/CD pipelines
- Experience with Git, Docker, infrastructure automation, and cloud-native application delivery
- Experience using Jira, Confluence and other Agile DevOps tools

Qualification

- Bachelor’s or master’s degree or equivalent experience in computer science, IT, Software Engineering, Cloud Computing, AI, or a life sciences subject area

Responsibilities

- 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 AI platforms such as Veeva AI, Amazon Bedrock, LangChain, Semantic Kernel, MCP
- Develop secure integrations between AI solutions, enterprise applications, SaaS platforms, and data services using APIs and approved integration patterns
- Provision, configure, and manage AWS services using Infrastructure as Code (Terraform)
- Deploy and support containerized and serverless applications across development, testing, and production environments
- Build and maintain CI/CD pipelines, infrastructure automation, and controls
- Monitor and fix production systems, lead incident remediation, implement SLOs and telemetry, and drive continuous platform improvements
- Embed security-by-design, guardrails, and audit ability; operationalize data governance and Responsible AI principles
- Create user documentation, reusable patterns, engineering standards, and solution governance controls
- Collaborate with product owners, architects, and business stakeholders to translate requirements into practical technology solutions and guide roadmap from MVP to scale

Additional Responsibilities

- Plan monthly schedule, attend meetings and calls, write reports
- Spot opportunities, take balanced risks, and shape solutions that make a measurable difference
- Work in a high-performing, digitally savvy team partnering across the enterprise
- Support a culture of sharing ideas, learning, and improving together
- Champion ethical and transparent practices
- Support diversity, inclusion,



and equal opportunity in the workplace

Nice To Have

- Experience with Veeva Vault, Veeva AI, and Veeva platform integrations
- Experience building AI agents and agent orchestration solutions
- Experience with Amazon Bedrock Agents and Bedrock Knowledge Bases
- Experience implementing enterprise-scale RAG solutions
- Experience with vector databases and semantic search technologies
- Experience developing MCP clients or MCP servers
- Experience with Microsoft Power Platform and Power Automate
- Experience in Life Sciences, Clinical Development, Regulatory, Quality, or GxP environments
- Experience working in supervised and validated environments
- AWS, Terraform, Cloud, AI, or related qualified certifications

More Skills AI Solution Engineering, Retrieval Augmented Generation (RAG) architectures, AWS services, Infrastructure as Code (Terraform), Cloud-native application delivery, DevOps and DevSecOps automation, CI/CD pipelines, Security, Data Governance, Responsible AI, Python, Java, JavaScript/TypeScript, React, FastAPI, Node.js, Git, Docker, Jira, Confluence, Agile DevOps tools

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Top 10 RAG Quick-Prep Questions

Zenaique A shorter RAG interview prep set for quick review.

Top 20 LLM System Design Questions (Quick)

Zenaique A focused LLM system design interview question set.

Top 50 LLM System Design Interview Questions

Zenaique

Curated LLM system design questions from Zenaique.

More LLM jobs

Senior AI-Native Engineer

Payoneer

Gurugram

Today

AI Customer Engineer

Cognizant

Bengaluru

Today

SAP BTP AI Consultant

Infosys Limited

Bengaluru

Today

Senior AI/ML Engineer

Ciklum

Chennai

Today

Senior AI/ML Engineer

Tirget Analystics

Hyderabad

Today

Senior AI Engineer

WSP

Noida

Today

📌 AI & Cloud Solutions Engineer (Chennai)
🏢 Top Gen AI Jobs
📍 Chennai