AI Engineer
AI Engineer Position Description
Job Description 1: AI Engineer (5+ Years Experience)
Position
AI Engineer
Experience
5+ Years
Location
Hybrid / Remote (As per business requirement)
Job Summary
We are looking for an experienced AI Engineer to design, develop, and deploy AI driven solutions that solve complex business problems. The ideal candidate should have hands on experience in Machine Learning, Generative AI, Large Language Models (LLMs), data engineering, and cloud based AI services. The role requires collaboration with cross functional teams to build scalable AI applications and integrate intelligent capabilities into enterprise platforms. Key Responsibilities . Design, develop, and deploy AI/ML solutions for enterprise applications.
. Build and optimize Machine Learning and Deep Learning models.
. Develop Generative AI solutions using Large Language Models (LLMs).
. Design and implement Retrieval Augmented Generation (RAG) pipelines.
. Integrate AI models with enterprise applications through APIs and microservices.
. Develop data pipelines for model training, inference, and monitoring.
. Perform prompt engineering and optimize AI model performance.
. Collaborate with Data Engineers, Software Engineers, and Business teams to understand business requirements.
. Monitor AI models in production and improve model accuracy and performance.
. Ensure AI solutions comply with security, governance, and responsible AI standards.
. Prepare technical documentation and knowledge transfer materials. Required Skills
Programming . Python (Mandatory)
. SQL
. REST APIs AI & Machine Learning . Machine Learning algorithms
. Deep Learning
. NLP
. Computer Vision (Preferred)Generative AI . OpenAI / Azure OpenAI
. Llama, Mistral or other LLMs
. Prompt Engineering
. RAG Architecture
. Vector Databases (Pinecone, ChromaDB, FAISS)Frameworks . LangChain
. LlamaIndex
. Hugging Face
. TensorFlow / PyTorch
. Scikit learn Cloud . Azure AI Services (Preferred)
. AWS SageMaker
. Google Vertex AI DevOps & MLOps . Git
. Docker
. Kubernetes
. CI/CD
. MLflow (Preferred)Preferred Qualifications . Experience in deploying enterprise AI solutions.
. Experience with chatbot or AI assistant development.
. Knowledge of responsible AI and model governance.
. Azure AI Engineer Associate or equivalent certification is an advantage. Soft Skills . Strong analytical and problem solving skills
. Excellent communication
. Stakeholder management
. Ability to work independently in Agile teams Your future duties and responsibilities Required qualifications to be successful in this role 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 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. Come join our team—one of the largest IT and business consulting services firms in the world. AI Engineer Position Description
Job Description 1: AI Engineer (5+ Years Experience)
Position
AI Engineer
Experience
5+ Years
Location
Hybrid / Remote (As per business requirement)
Job Summary
We are looking for an experienced AI Engineer to design, develop, and deploy AI driven solutions that solve complex business problems. The ideal candidate should have hands on experience in Machine Learning, Generative AI, Large Language Models (LLMs), data engineering, and cloud based AI services. The role requires collaboration with cross functional teams to build scalable AI applications and integrate intelligent capabilities into enterprise platforms. Key Responsibilities . Design, develop, and deploy AI/ML solutions for enterprise applications.
. Build and optimize Machine Learning and Deep Learning models.
. Develop Generative AI solutions using Large Language Models (LLMs).
. Design and implement Retrieval Augmented Generation (RAG) pipelines.
. Integrate AI models with enterprise applications through APIs and microservices.
. Develop data pipelines for model training, inference, and monitoring.
. Perform prompt engineering and optimize AI model performance.
. Collaborate with Data Engineers, Software Engineers, and Business teams to understand business requirements.
. Monitor AI models in production and improve model accuracy and performance.
. Ensure AI solutions comply with security, governance, and responsible AI standards.
. Prepare technical documentation and knowledge transfer materials. Required Skills
Programming . Python (Mandatory)
. SQL
. REST APIs AI & Machine Learning . Machine Learning algorithms
. Deep Learning
. NLP
. Computer Vision (Preferred)Generative AI . OpenAI / Azure OpenAI
. Llama, Mistral or other LLMs
. Prompt Engineering
. RAG Architecture
. Vector Databases (Pinecone, ChromaDB, FAISS)Frameworks . LangChain
. LlamaIndex
. Hugging Face
. TensorFlow / PyTorch
. Scikit learn Cloud . Azure AI Services (Preferred)
. AWS SageMaker
. Google Vertex AI DevOps & MLOps . Git
. Docker
. Kubernetes
. CI/CD
. MLflow (Preferred)Preferred Qualifications . Experience in deploying enterprise AI solutions.
. Experience with chatbot or AI assistant development.
. Knowledge of responsible AI and model governance.
. Azure AI Engineer Associate or equivalent certification is an advantage. Soft Skills . Strong analytical and problem solving skills
. Excellent communication
. Stakeholder management
. Ability to work independently in Agile teams Your future duties and responsibilities Required qualifications to be successful in this role 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 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. Come join our team—one of the largest IT and business consulting services firms in the world.
Job Description 1: AI Engineer (5+ Years Experience)
Position
AI Engineer
Experience
5+ Years
Location
Hybrid / Remote (As per business requirement)
Job Summary
We are looking for an experienced AI Engineer to design, develop, and deploy AI driven solutions that solve complex business problems. The ideal candidate should have hands on experience in Machine Learning, Generative AI, Large Language Models (LLMs), data engineering, and cloud based AI services. The role requires collaboration with cross functional teams to build scalable AI applications and integrate intelligent capabilities into enterprise platforms. Key Responsibilities . Design, develop, and deploy AI/ML solutions for enterprise applications.
. Build and optimize Machine Learning and Deep Learning models.
. Develop Generative AI solutions using Large Language Models (LLMs).
. Design and implement Retrieval Augmented Generation (RAG) pipelines.
. Integrate AI models with enterprise applications through APIs and microservices.
. Develop data pipelines for model training, inference, and monitoring.
. Perform prompt engineering and optimize AI model performance.
. Collaborate with Data Engineers, Software Engineers, and Business teams to understand business requirements.
. Monitor AI models in production and improve model accuracy and performance.
. Ensure AI solutions comply with security, governance, and responsible AI standards.
. Prepare technical documentation and knowledge transfer materials. Required Skills
Programming . Python (Mandatory)
. SQL
. REST APIs AI & Machine Learning . Machine Learning algorithms
. Deep Learning
. NLP
. Computer Vision (Preferred)Generative AI . OpenAI / Azure OpenAI
. Llama, Mistral or other LLMs
. Prompt Engineering
. RAG Architecture
. Vector Databases (Pinecone, ChromaDB, FAISS)Frameworks . LangChain
. LlamaIndex
. Hugging Face
. TensorFlow / PyTorch
. Scikit learn Cloud . Azure AI Services (Preferred)
. AWS SageMaker
. Google Vertex AI DevOps & MLOps . Git
. Docker
. Kubernetes
. CI/CD
. MLflow (Preferred)Preferred Qualifications . Experience in deploying enterprise AI solutions.
. Experience with chatbot or AI assistant development.
. Knowledge of responsible AI and model governance.
. Azure AI Engineer Associate or equivalent certification is an advantage. Soft Skills . Strong analytical and problem solving skills
. Excellent communication
. Stakeholder management
. Ability to work independently in Agile teams Your future duties and responsibilities Required qualifications to be successful in this role 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 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. Come join our team—one of the largest IT and business consulting services firms in the world. AI Engineer Position Description
Job Description 1: AI Engineer (5+ Years Experience)
Position
AI Engineer
Experience
5+ Years
Location
Hybrid / Remote (As per business requirement)
Job Summary
We are looking for an experienced AI Engineer to design, develop, and deploy AI driven solutions that solve complex business problems. The ideal candidate should have hands on experience in Machine Learning, Generative AI, Large Language Models (LLMs), data engineering, and cloud based AI services. The role requires collaboration with cross functional teams to build scalable AI applications and integrate intelligent capabilities into enterprise platforms. Key Responsibilities . Design, develop, and deploy AI/ML solutions for enterprise applications.
. Build and optimize Machine Learning and Deep Learning models.
. Develop Generative AI solutions using Large Language Models (LLMs).
. Design and implement Retrieval Augmented Generation (RAG) pipelines.
. Integrate AI models with enterprise applications through APIs and microservices.
. Develop data pipelines for model training, inference, and monitoring.
. Perform prompt engineering and optimize AI model performance.
. Collaborate with Data Engineers, Software Engineers, and Business teams to understand business requirements.
. Monitor AI models in production and improve model accuracy and performance.
. Ensure AI solutions comply with security, governance, and responsible AI standards.
. Prepare technical documentation and knowledge transfer materials. Required Skills
Programming . Python (Mandatory)
. SQL
. REST APIs AI & Machine Learning . Machine Learning algorithms
. Deep Learning
. NLP
. Computer Vision (Preferred)Generative AI . OpenAI / Azure OpenAI
. Llama, Mistral or other LLMs
. Prompt Engineering
. RAG Architecture
. Vector Databases (Pinecone, ChromaDB, FAISS)Frameworks . LangChain
. LlamaIndex
. Hugging Face
. TensorFlow / PyTorch
. Scikit learn Cloud . Azure AI Services (Preferred)
. AWS SageMaker
. Google Vertex AI DevOps & MLOps . Git
. Docker
. Kubernetes
. CI/CD
. MLflow (Preferred)Preferred Qualifications . Experience in deploying enterprise AI solutions.
. Experience with chatbot or AI assistant development.
. Knowledge of responsible AI and model governance.
. Azure AI Engineer Associate or equivalent certification is an advantage. Soft Skills . Strong analytical and problem solving skills
. Excellent communication
. Stakeholder management
. Ability to work independently in Agile teams Your future duties and responsibilities Required qualifications to be successful in this role 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 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. Come join our team—one of the largest IT and business consulting services firms in the world.
Vacancy posted 3 days ago
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