AI Engineer Data Scientist

Position Description:

Company Profile:
Founded in 1976 CGI is among the largest independent IT and business consulting services firms in the world. With 94000 consultants and professionals across the globe CGI delivers an end-to-end portfolio of capabilities from strategic IT and business consulting to systems integration managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at

Job Title: AI Engineer / Data Scientist


Position: Senior Systems Engineer

Experience: 6 to 8 Yrs

Category: IT Infrastructure

Main location: Hyderabad / Bangalore

Position ID: J0426-0159

Employment Type: Full Time

Qualification: Bachelors degree in computer science or related field or higher with minimum 3 years of relevant experience.


Role Summary
We are seeking a highly skilled Senior Data Scientist / AI Engineer with 58 years of experience in Generative AI Agentic AI Natural Language Processing Machine Learning Deep Learning and Computer Vision. This role is primarily focused on designing and delivering advanced enterprise AI solutions with strong emphasis on Agentic AI LLM-driven systems and Conversation AI followed by NLP ML and Deep Learning use cases.
The ideal candidate will be capable of managing the full AI/ML lifecycle from business problem understanding and data analysis to model development evaluation deployment and production monitoring. This position requires strong expertise in autonomous AI agents multi-agent orchestration RAG architectures enterprise AI integration and transformer-based NLP systems along with the ability to build robust production-grade AI solutions for real-world business environments.
Key Skills
The ideal candidate should demonstrate strong hands-on expertise in:
Programming & Data: Python SQL
AI/ML Domains: Generative AI Agentic AI Conversation AI NLP Machine Learning Deep Learning Computer Vision
Agentic & LLM Frameworks: LangChain LangGraph Semantic Kernel AutoGen CrewAI
LLM Ecosystems: OpenAI Azure OpenAI AWS Bedrock Hugging Face
Core AI Concepts: Multi-agent systems MCP (Model Context Protocol) A2A concepts prompt engineering tool calling grounding guardrails memory-aware systems
Retrieval & Search: RAG pipelines embeddings semantic search vector databases
Transformer & NLP Models: Transformers Sentence Transformers BERT encoder-only and encoder-decoder architectures
ML/DL Techniques: Regression classification clustering predictive analytics anomaly detection statistical modeling
Deep Learning Frameworks: PyTorch TensorFlow Scikit-learn
Deployment & Engineering: FastAPI Docker Kubernetes MLflow CI/CD cloud-native deployment
Cloud & Platforms: Azure AI Foundry Azure Machine Learning Azure AI Search Azure Document Intelligence AWS Azure GCP
Vector Databases: Pinecone FAISS Chroma Qdrant Weaviate Milvus or equivalent
UI Frameworks: Streamlit Gradio; exposure to React Angular and is preferred
Responsibilities
The selected candidate will be responsible for:
Designing and implementing autonomous AI agents using LLMs reasoning frameworks planning strategies memory and decision-making logic.
Building and orchestrating multi-agent AI systems using frameworks such as LangChain LangGraph Semantic Kernel AutoGen and CrewAI.
Integrating AI agents into enterprise applications APIs workflows and automation pipelines.
Incorporating MCP and A2A concepts within multi-agent ecosystems where relevant.
Developing advanced Generative AI and Conversation AI solutions using OpenAI Azure OpenAI AWS Bedrock Hugging Face and related platforms.
Building and optimizing RAG pipelines retrieval workflows tool-calling systems prompt orchestration layers and grounded enterprise knowledge systems.
Developing memory-aware conversational systems with appropriate guardrails contextual grounding and scalable architecture.
Applying LoRA and QLoRA or similar techniques for efficient model adaptation where required.
Leveraging transformer-based architectures such as BERT Sentence Transformers and encoder-decoder models for enterprise NLP applications.
Delivering NLP solutions for text classification summarization question answering entity extraction semantic retrieval intent detection and conversational understanding.
Executing the full machine learning lifecycle including business understanding data mining EDA feature engineering model development validation deployment and monitoring.
Working on ML use cases involving regression classification clustering anomaly detection predictive analytics and statistical modeling.
Contributing to AI solutions involving Computer Vision OCR document intelligence and multimodal AI where applicable.
Productionizing AI/ML systems using FastAPI Docker Kubernetes MLflow and CI/CD pipelines.
Building lightweight demo applications internal tools and enterprise AI interfaces using Streamlit or Gradio with optional frontend collaboration where needed.
Required Experience
58 years of relevant industry experience in Data Science AI Engineering Machine Learning or related roles.
Strong hands-on experience in Generative AI Agentic AI Conversation AI NLP ML and Deep Learning.
Proven expertise in designing and deploying production-grade AI/ML solutions in enterprise environments.
Experience with multi-agent orchestration LLM application development and advanced AI solution design.
Strong knowledge of RAG systems vector search embeddings prompt engineering and enterprise AI integration.
Hands-on experience with transformer-based NLP architectures semantic retrieval and conversational understanding systems.

Skills:

• Agentic AI
• Agentic RAG
• English
• Model Context Protocol Servers
• Artificial Intelligence
• Data Science

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll 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.

Youll shape your career by joining a company built to grow and last. Youll 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.

Come join our teamone of the largest IT and business consulting services firms in the world.