We are looking for an experienced Cloud AI Engineer with strong expertise in Python, Generative AI, Large Language Models (LLMs), RAG, and AWS cloud services. The ideal candidate will be responsible for designing, developing, and deploying scalable AI-powered applications and cloud-native solutions.

The role requires hands-on experience in LLM application development, prompt engineering, vector databases, AI gateways, MCP, AI guardrails, and cloud infrastructure management. The candidate should have experience with AWS services, including Lambda, S3, API Gateway, EC2, IAM, and KMS, along with Terraform for infrastructure automation.

The successful candidate will collaborate with development, cloud, and DevOps teams to deliver secure, reliable, and high-performance AI solutions while following software engineering best practices.

Your future duties and responsibilities

- Design, develop, and maintain AI-powered applications using Python, Generative AI, and LLMs.
- Develop and integrate LLM-based solutions for business applications and automation.
- Build and maintain RAG pipelines to retrieve relevant information from enterprise data sources.
- Implement prompt engineering techniques to improve AI response quality and accuracy.
- Work with vector databases and vector stores for embeddings, semantic search, and information retrieval.
- Develop and integrate AI gateways, MCP services, and guardrails for secure AI application development.
- Integrate AI models using AWS Bedrock, Azure AI, or Google Cloud AI services.
- Develop and maintain secure REST APIs using Python, AWS Lambda, and API Gateway.
- Use AWS services such as S3, EC2, IAM, KMS, and container technologies to build and deploy applications.
- Implement Infrastructure as Code using Terraform to automate cloud infrastructure provisioning.
- Follow cloud-native development practices to build scalable, reliable, and secure applications.
- Implement authentication, authorization, encryption, and access control mechanisms.
- Develop and maintain CI/CD pipelines for automated application testing and deployment.
- Work with Docker and container technologies for application deployment.
- Monitor application performance, troubleshoot issues,



and optimize cloud resource utilization.
- Collaborate with developers, architects, DevOps teams, and business stakeholders to deliver technical solutions.
- Participate in code reviews, technical discussions, and Agile/Scrum activities.
- Maintain technical documentation and follow software development and cloud security best practices.

Required Qualifications To Be Successful In This Role Must-Have Skills

- Python: Strong programming skills in Python for application development and automation.
- Generative AI & LLMs: Experience developing applications using Generative AI and Large Language Models.
- RAG: Knowledge of Retrieval-Augmented Generation, document processing, embeddings, and information retrieval.
- Vector Databases: Experience with vector stores, semantic search, and similarity search.
- AI Gateway, MCP & Guardrails: Understanding of AI gateways, Model Context Protocol, and AI security guardrails.
- AWS Cloud Services: Hands-on experience with AWS Lambda, S3, API Gateway, EC2, IAM, KMS, and containers.
- Cloud AI Platforms: Experience with AWS Bedrock, Azure AI, or Google Cloud AI.
- Prompt Engineering: Ability to create and optimize prompts for LLM-based applications.
- API Development: Experience developing and integrating RESTful APIs.
- Terraform: Experience with Terraform for Infrastructure as Code and cloud resource management.
- Cloud-Native Development: Understanding of scalable application architecture, cloud services, and distributed systems.
- Cloud Security: Knowledge of authentication, authorization, encryption, and access management.
- Software Engineering: Understanding of coding standards, testing, debugging, version control, and application development best practices.

Good-to-Have Skills
- Experience with CI/CD tools such as Jenkins, GitHub Actions, and GitLab CI.




- Knowledge of Docker and container technologies.
- Familiarity with AI productivity tools such as Cursor and GitHub Copilot.
- Experience with Agile/Scrum methodologies and Jira.
- Knowledge of cloud monitoring, logging, and deployment automation.
- Experience with multi-region and multi-currency applications.
- Understanding of security, governance, compliance, and data protection.
- Good communication, problem-solving, and collaboration skills.
- Ability to provide technical guidance and work effectively with cross-functional teams.

CGI is an equal prospect employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop cutting-edge solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

Come join our team—one of the largest IT and business consulting services firms in the world.

📌 Senior Cloud AI Engineer (Hyderabad)
🏢 CGI
📍 Hyderabad