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Salary
≈ $54k – $104k per year (Estimated)
Location
In office (France)
Seniority
Senior
Employment
Full-Time

First seen by Alion on Oct 24, 2026. CGI scores A on the Alion truth index.

Overview
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Profile match

CGI

CGI is a Canadian IT and business consulting services firm headquartered in Montreal, Quebec, offering strategic consulting, systems integration, managed IT and application services and its own software products. Founded in 1976 and listed on the Toronto and New York stock exchanges, it employs about 94,000 consultants and professionals worldwide, with large operations in France, Canada, the United States through CGI Federal, the UK and India. Its openings include generative AI developers and tech leads, Java and Angular developers, business analysts, geomatics developers, cloud engineers with security clearance and graduate programmes.
At CGI, we help organisations unlock the full potential of artificial intelligence to solve complex business challenges, accelerate innovation, and create lasting value. As an AI Specialist within our AI Practice, you will play a key role in shaping and delivering cutting-edge AI solutions that transform how organisations operate, make decisions, and engage with their customers. Working with clients across a range of industries, you will combine technical expertise with strategic thinking to design and implement impactful AI solutions at scale. Joining a growing team of AI experts, you will have the opportunity to influence the future of AI adoption, contribute to high-profile engagements, and continually develop your skills in a collaborative and supportive environment.



CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go.



Due to the secure nature of the work, you will need to hold UK Security Clearance or be eligible to go through this clearance. These roles will be predominately hybrid with some work based in UK CGI or client offices depending on the specific programme. Travel away from base office will be expensed.

Profil recherché

In this role, you will work with clients and multidisciplinary teams to identify opportunities where AI can deliver meaningful business outcomes. You will help shape AI strategies, design innovative solutions, and lead delivery from initial concept through to deployment and optimisation. Leveraging expertise across Machine Learning, Generative AI, Natural Language Processing, Computer Vision, and Advanced Analytics, you will develop solutions that improve decision-making, enhance customer experiences, optimise operations, and unlock new sources of value.



As part of CGI's AI Practice, you will contribute to the growth of our AI capabilities while working on a diverse portfolio of engagements. You will have the opportunity to mentor colleagues, share knowledge, and influence how organisations adopt AI securely, responsibly, and effectively. This role offers the chance to combine technical excellence with innovation and strategic impact, helping clients realise the full potential of AI technologies.



Key responsibilities:



• Engage with clients and stakeholders to understand business challenges and identify AI opportunities

• Develop AI strategies, roadmaps, and solution designs aligned to organisational objectives

• Lead the delivery of AI solutions from proof of concept through to production deployment and optimisation

• Design, build, and implement Machine Learning, Generative AI, Natural Language Processing, and Advanced Analytics solutions

• Conduct experimentation and model evaluation to validate approaches and improve solution performance

• Translate complex technical outputs into clear business insights and recommendations

• Ensure AI solutions are scalable, secure, reliable, and aligned with governance requirements

• Apply software engineering and MLOps practices to support robust and maintainable AI delivery

• Collaborate with data scientists, engineers, architects, and business stakeholders throughout project lifecycles

• Mentor colleagues and contribute to capability development within the AI Practice

• Support business development activities by contributing technical expertise to proposals and client discussions

• Stay informed on emerging AI technologies, frameworks, and industry trends to drive innovation and continuous improvement

Required qualifications to be successful in this role

You should have proven experience delivering AI solutions within a commercial environment and be comfortable working across both technical and business-facing activities. You will bring a strong understanding of modern AI techniques, software engineering practices, and cloud-based AI services, alongside the ability to communicate complex concepts clearly to a wide range of stakeholders.



Essential qualifications:



• Proven experience delivering AI, Machine Learning, or Advanced Analytics solutions in a commercial environment

• Strong expertise in Machine Learning, Natural Language Processing, Generative AI, and advanced analytical techniques

• Proficiency in Python and experience with AI and data science frameworks such as pandas, scikit-learn, TensorFlow, PyTorch, or LangChain

• Experience developing and deploying AI models into production environments

• Solid understanding of data engineering principles, including data preparation, integration, and deployment pipelines

• Knowledge of MLOps practices and model lifecycle management

• Experience applying software engineering best practices including Git-based workflows, code reviews, CI/CD, and automated testing

• Familiarity with containerisation technologies such as Docker and Kubernetes

• Experience working with cloud AI and Machine Learning services including AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform

• Strong analytical and problem-solving skills with the ability to develop practical AI solutions to complex business challenges

• Ability to communicate technical concepts effectively to both technical and non-technical audiences

• Experience collaborating with clients and cross-functional teams to define requirements and deliver successful outcomes

• Commitment to continuous learning and keeping pace with developments in AI technologies and methodologies



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