AI Engineer

Job Title: AI Engineer
Position: Senior Software Engineer / AI Engineer
Experience: 10+ Years of IT Experience (Minimum 5+ Years as AI Engineer)
Category: Artificial Intelligence / Machine Learning
Shift: General Shift
Main Location: Any CGI Location (India)
Position ID: J0726-0706
Employment Type: Full Time
Education Qualification:
Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field.
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Position Description:
We are seeking an experienced AI Engineer with over 10 years of IT experience, including a minimum of 5 years in AI Engineering, to design, develop, and implement enterprise-grade AI solutions. The ideal candidate will possess strong expertise in Generative AI, Agentic AI frameworks, Intelligent Document Processing (IDP), Python, Cloud platforms, and MLOps. The candidate will work closely with Product Owners, Quality Engineers, and cross-functional teams to deliver scalable, secure, and high-performing AI-driven solutions.

AI Solution Development
Design, develop, and implement AI-based document digitization solutions.
Build intelligent document processing (IDP) workflows for enterprise applications.
Configure, train, and optimize document classification and data extraction models.
Develop automated validation workflows and business rule engines.
Analyze AI model performance and continuously improve model accuracy.
Support deployment, monitoring, and lifecycle management of AI solutions.
Generative AI Agentic AI
Design and implement Generative AI and Agentic AI solutions.
Build AI agents using frameworks such as ADK, LangGraph, and CrewAI.
Develop Retrieval-Augmented Generation (RAG) solutions and intelligent workflows.
Perform prompt engineering and fine-tuning of Large Language Models (LLMs) for domain-specific use cases.
Optimize AI models for enterprise-scale performance and accuracy.
Full Stack AI Development
Develop backend services using Python.
Build frontend applications using React or other modern JavaScript frameworks.
Develop RESTful APIs and integrate AI services with enterprise applications.
Ensure secure and scalable AI application architecture.
Cloud MLOps
Deploy AI applications on AWS, Azure, or Google Cloud Platform (GCP).
Build CI/CD pipelines for AI/ML model deployment.
Implement MLOps best practices for model versioning, monitoring, retraining, and governance.
Monitor cloud infrastructure and optimize performance, scalability, and cost.
Integration Collaboration
Integrate AI services with Enterprise Resource Management (ERM) systems and supporting applications.
Collaborate with Product Owners, Business Analysts, Architects, and QA teams throughout the development lifecycle.
Prepare technical documentation, architecture diagrams, and deployment guides.
Participate in Agile/Scrum ceremonies and provide technical leadership.

Must-Have Skills:
10+ years of IT experience with a minimum of 5+ years in AI Engineering.
Strong expertise in:
oArtificial Intelligence (AI)
oMachine Learning (ML)
oGenerative AI (GenAI)
oIntelligent Document Processing (IDP)
Hands-on experience with Agentic AI frameworks such as:
oADK
oLangGraph
oCrewAI
Strong Python programming skills.
Experience with full-stack development using:
oPython (Backend)
oReact or similar JavaScript frameworks (Frontend)
Experience with Prompt Engineering and LLM Fine-Tuning.
Knowledge of Vector Databases, Embedding Models, and RAG architecture.
Experience with AWS, Azure, or Google Cloud Platform (GCP).
Strong understanding of MLOps and DevOps practices.
Experience integrating AI solutions with enterprise applications.
Excellent analytical, communication, and stakeholder management skills.
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Good-to-Have Skills:
Experience with OpenAI, Azure OpenAI, Google Vertex AI, or Amazon Bedrock.
Knowledge of LangChain, LlamaIndex, Haystack, or Semantic Kernel.
Experience with Docker and Kubernetes.
Experience with MLflow, Kubeflow, or SageMaker.
Knowledge of OCR technologies such as Google Document AI, Azure Document Intelligence, or Amazon Textract.
Experience with SQL and NoSQL databases.
Exposure to CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps.
Experience working in Healthcare, Insurance, Banking, or Financial Services domains.

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.

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