AI Engineer

Job Title: AI Engineer Company: CGI Job Category: Data Science Roles & Responsibilities: Your future duties and responsibilities The AI Engineer plays a key role in designing, developing, and operationalizing Agentic AI and Generative AI solutions across the software development lifecycle (SDLC). This role is responsible for delivering scalable AI systems, enabling AI\-driven development practices, and supporting engineering, data, and business teams through the adoption of modern AI technologies. Key Responsibilities AI Solution Development Design, develop, deploy, and maintain AI/ML and Generative AI solutions using Python. Develop AI solutions from proof of concept through production deployment. Implement RAG architectures, embeddings, semantic search, caching, prompt engineering, and tool/function\-calling capabilities. Develop robust APIs, orchestration layers, and microservices supporting AI workloads. Design logging, monitoring, observability, and performance\-tracking mechanisms for AI systems. Implement scalable and maintainable software engineering practices for AI products. Collaborate with development teams to embed AI capabilities within enterprise applications. Develop and optimize SQL queries for large\-scale relational databases. Develop reusable frameworks, standards, governance models, and best practices. Support CI/CD implementation through Azure DevOps and GitHub. Build and maintain cloud\-native AI solutions on Microsoft Azure. Programming \& Development Expertise in developing REST APIs and service integrations. Roles \& Responsibilities Work within established procedures, standards, and development practices. Develop, test, and support software applications and AI solutions. Stakeholder Management Your work creates value. You’ll develop innovative 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. Work Location: KA, India Availability: Full time

Experience: 4\-7 Years Identify recurring business and technical requirements across Data \& AI initiatives. Required Technical Skills Experience with software engineering best practices and design patterns. Experience with: Experience with: Experience with relational databases and query optimization. Hands\-on experience with: Required Experience 3\-1 year of experience in Software Engineering, Data Engineering, AI/ML, or related domains. Proven experience delivering AI/ML solutions from concept to production. Experience working in Agile product teams and DevOps environments. Experience handling and extracting insights from large\-scale datasets. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field. Microsoft Azure AI Engineer Associate certification. Microsoft Azure Data Engineer Associate certification. Experience with vector databases such as Azure AI Search, Pinecone, or Weaviate. Key Skills: Data Science, Python, SQL, Pandas, NumPy, Machine Learning Salary: Not disclosed