AI Developer
The Story Behind the Role
What is the most exciting challenge for an AI Developer at Cognizant in the first 90 days?
The most exciting challenge will be to quickly integrate with our project teams and contribute to the development of a new AI-powered solution for one of our major clients. You will be expected to get up to speed with our development environment and coding standards, and start delivering value within the first three months. This is a great opportunity to make a real impact on a large-scale project.
What is a quality you're looking for in a candidate that isn't on the formal job description?
We are looking for a proactive and curious individual who is passionate about learning and exploring new technologies. The AI landscape is constantly evolving, and we need someone who is not afraid to experiment with new tools and techniques, and who can bring fresh ideas to the team.
How does this role contribute to the company's larger mission?
This role is crucial to Cognizant's mission of helping our clients build stronger businesses. By developing innovative AI solutions, you will be directly contributing to our clients' success and helping them to stay ahead of the competition. You will be a key player in our digital transformation journey.
As an AI Developer at Cognizant, you will be at the forefront of designing, developing, and deploying cutting-edge AI and machine learning solutions. You will work with a team of talented engineers and data scientists to build and implement scalable, high-performance AI applications that solve real-world business problems for our clients across the APAC region. Note: While this position is listed for the APAC region, a more specific location has not been provided.
What You'll Do
- Design and implement AI and ML solutions using Azure AI services, including Azure OpenAI, Azure AI Foundry, and Azure Machine Learning.
- Fine-tune and deploy LLMs (e.g., GPT-4o, GPT-3.5) for enterprise use cases using Azure infrastructure.
- Build AI-powered applications using Python frameworks such as FastAPI and Streamlit, Gradio.
- Develop and manage RAG pipelines and integrate them with enterprise data sources.
- Utilize Azure AI Foundry for model lifecycle management, experimentation, and deployment.
- Leverage Azure Functions and Logic Apps to orchestrate AI workflows and automate business processes.
- Integrate AI capabilities into Power Platform (Power Apps, Power Automate) for low-code/no-code solutions.
- Build conversational AI experiences using Microsoft Bot Framework and integrate with Microsoft Teams.
- Enable intelligent document processing and collaboration by integrating AI with SharePoint.
- Conduct prompt engineering and use orchestration tools like Semantic Kernel and function calling.
- Ensure scalability, security, and performance of AI solutions deployed on Azure.
- Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
- Stay updated with the latest advancements in AI, NLP, and Azure technologies.
What You'll Need
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- 3+ years of experience in software development with a focus on AI applications.
- Proficiency in Python, Java, or C++.
- Experience with AI frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn.
- Strong understanding of machine learning techniques, deep learning, and generative AI models.
- Experience with Natural Language Processing (NLP) for tasks like text generation, parsing, and sentiment analysis.
- Experience in developing and deploying AI models and applications in production environments on cloud platforms like Azure, GCP, or AWS.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.