Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 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 cgi.com.
Job Title:
AI & Analytics Engineer
Position ID: J0626-2101
Software Engineer / Senior Software Engineer
Experience:
4–7 Years
Category:
Artificial Intelligence Engineering
Shift:
General
Main Location:
Pune , India
Employment Type:
Full Time
Education Qualification:
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or higher, with a minimum of 4 years of relevant experience.
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Position Description:
We are looking for an experienced AI Engineer with 4 to 7 years of professional experience to join our team. The ideal candidate is passionate about designing, building, and deploying scalable Artificial Intelligence and Machine Learning solutions, with a specialized focus on Natural Language Processing (NLP) and Generative AI.
In this role, you will work on state-of-the-art MLOps practices, construct intelligent AI agents, and develop self-service analytics solutions. You will collaborate closely with product managers, data engineers, backend developers, and business stakeholders to deliver high-quality AI-powered solutions deployed across hybrid and native cloud environments.
Your future duties and responsibilities
Responsibilities:
- Design and develop AI and Machine Learning models with a strong emphasis on Natural Language Processing (NLP) and Generative AI technologies.
- Explore, implement, train, fine-tune, and evaluate AI models using industry-standard tools and frameworks.
- Manage MLOps lifecycles, including model training, deployment, monitoring, and optimization using Python and Project Jupyter toolsets.
- Develop self-service analytics solutions utilizing Python and SQL to support data-driven decision-making.
- Build and deploy intelligent AI agents and agentic workflows, including Model Context Protocol (MCP) server-based solutions.
- Apply software engineering best practices to ensure code quality, maintainability, testing, and documentation standards.
- Deploy and manage workloads in hybrid and cloud-native environments, with a focus on Red Hat OpenShift and Google Cloud Platform (GCP).
- Enhance data-driven solutions by supporting data ingestion, transformation, reporting, and machine learning capabilities.
- Identify manual bottlenecks and develop automated AI-powered workflows to improve operational efficiency.
- Collaborate throughout the product lifecycle, from requirement gathering and solution design to implementation and deployment.
- Work closely with cross-functional teams to deliver scalable, secure, and production-ready AI solutions.
- Stay current with emerging trends and technologies in Artificial Intelligence, Generative AI, MLOps, and Cloud Computing.
Required qualifications to be successful in this role
Must-Have Skills:
- Strong hands-on experience in designing and developing AI/ML solutions, particularly in Natural Language Processing (NLP) and Generative AI.
- Expertise in Python and SQL.
- Experience with Docker and Microservices-based deployments.
- Hands-on experience with data processing and API development frameworks such as:
o Pandas
o NumPy
o Flask
- Strong understanding of MLOps practices, model lifecycle management, and model evaluation techniques.
- Experience using Project Jupyter and related AI/ML development toolsets.
- Hands-on experience with Hybrid Cloud Environments.
- Experience working with Red Hat OpenShift and Google Cloud Platform (GCP).
- Knowledge of software engineering principles required to build and deploy intelligent AI agents and agentic workflows.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
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Good-to-Have Skills:
- Experience within the Financial Services, Banking, Internal Audit, or other highly regulated industries.
- Understanding of Big Data Analytics and modern AI architectures.
- Experience with Data Warehousing solutions.
- Knowledge of advanced ETL Pipelines and Data Engineering concepts.
- Experience with Vector Databases, RAG (Retrieval-Augmented Generation), and AI orchestration frameworks.
- Familiarity with Kubernetes, CI/CD pipelines, and DevOps practices.
- Exposure to Agentic AI frameworks and enterprise AI governance practices.
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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.
