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AI Engineer

Position Description:

Make an impact like never before.
Were growing rapidly and are looking for AI Engineers to join our Emerging Technologies Practice!
Were a close-knit team that has access to global resources. Youll have the opportunity to explore a wide range of industries, technologies, and geographies, all while enjoying the personal touch that our local operating approach offers.
Growth at CGI is driven by your goals, so if youre looking for an inclusive place where youre empowered to chart your own path, then wed love to meet you.
This position can be located at any CGI office in the U.S, however preferred locations are Austin, Texas or Dallas, Texas.
CGI anticipates accepting applications for this position through April 07, 2025.

Your future duties and responsibilities:

Collaborate with Teams: Engage in cross-functional teams to design, deploy, and manage microservice architectures for analytics, data pipelines, machine learning models, and essential business applications.

Requirements Gathering: Interpret customer and business needs to construct resilient, cloud-native data infrastructures that cater to the end-users demands, leveraging expertise in data engineering & API development.

Stakeholder Engagement: Maintain active engagement with client representatives and internal team members to adhere to project timelines, ensuring transparent and effective communication throughout the project lifecycles, and present demos & deliverables.
Technical Documentation: Articulate and document technical designs and solutions in a clear and concise format, ensuring comprehensibility for all stakeholders.

Interdisciplinary Collaboration: Work in close partnership with solution architects, senior data engineers, data analysts, and cloud engineering teams to align solutions with the overarching architectural vision and business objectives.

Required qualifications to be successful in this role:

How You'll Make an Impact & What You'll Bring
Must have at least 3 years of working experience with the below skills
Develops and optimizes AI applications for production, ensuring seamless integration with enterprise systems and front-end applications.
Builds scalable API layers and microservices using FastAPI, Flask, Docker, and Kubernetes to serve AI models in real-world environments.
Implements and maintains AI pipelines with MLOps best practices, leveraging tools like Azure ML, Databricks, AWS SageMaker, and Vertex AI
Ensures high availability, reliability, and performance of AI systems through rigorous testing, monitoring, and optimization
Works with agentic frameworks such as LangChain, LangGraph, and AutoGen to build adaptive AI agents and workflows
Collaborates with architects and scientists to transition AI models from research to fully functional, high-performance production systems.
#LI-SG2

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $78,400-$150,800
CGIs benefits are offered to eligible professionals on their first day of employment to include:




Competitive compensation including profit participation program
Comprehensive medical, dental, and vision benefits
Basic life and accidental death & dismemberment insurance
Matching contributions through 401(k) plan, and CGI share purchase plan
Flexibility and paid accrued vacation leave, ranging from 10 to 20 days per year, based on job level, years of relevant prior experience, and years of service
10 paid holidays per year
At least 80 consecutive hours of paid sick/safe leave (except where applicable state/local law requires more)
Paid parental leave, ranging from 20 to 70 consecutive business days based on circumstances of leave and applicable laws
Bereavement leave, ranging from 1 to 7 days per year based on relationship.
Paid jury duty leave, up to time summoned
Learning opportunities and tuition assistance
Wellness and Well-being programs
For more detailed information about our benefits offerings visit Benefits | CGI Careers


Please note that the benefits listed above are subject to change based on the specific terms and conditions of the contract being supported.

Skills:

  • Artificial Intelligence
  • Kubernetes

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.

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.

CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.

We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.

All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.

CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.
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CEO of CGI
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George D. Schindler
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Average salary estimate

$114600 / YEARLY (est.)
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$78400K
$150800K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Engineer, CGI

At CGI, we're on the lookout for innovative AI Engineers to join our rapidly growing Emerging Technologies Practice. This is your chance to make a significant impact while working remotely from anywhere in the U.S. (though we have a special preference for talent in Austin or Dallas, Texas). In this role, you’ll collaborate with cross-functional teams to design and develop robust microservice architectures for a variety of applications, including analytics and machine learning models. Each day will be unique as you gather requirements from clients and interpret business needs to create cloud-native infrastructures that prioritize user demands. Communication is key, so you’ll engage actively with stakeholders to keep projects on track and present your work during demos effectively. You will also document technical designs in a way that's clear and accessible to all involved, enabling smooth transitions from development to deployment. This position requires you to be proficient in developing and optimizing AI applications, working with microservices, and leveraging MLOps best practices. If you have at least three years of experience and are eager to tackle exciting challenges, while enjoying the flexibility of remote work, we would love to hear from you!

Frequently Asked Questions (FAQs) for AI Engineer Role at CGI
What responsibilities does an AI Engineer at CGI have?

As an AI Engineer at CGI, you'll engage in cross-functional team collaboration to design and manage microservice architectures. Your primary responsibilities will include developing and optimizing AI applications, implementing MLOps practices, and ensuring seamless integration with existing enterprise systems. You'll also gather requirements from clients to create data infrastructures and actively communicate with stakeholders throughout the project lifecycles.

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What qualifications are required to be an AI Engineer at CGI?

To be successful in the AI Engineer role at CGI, candidates should have at least three years of experience in AI application development. Key skills include proficiency in FastAPI, Flask, Docker, and Kubernetes for building scalable API layers, as well as expertise with tools like Azure ML, Databricks, and AWS SageMaker for implementing AI pipelines. Furthermore, familiarity with adaptive AI frameworks such as LangChain and LangGraph is essential.

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What is the work environment like for an AI Engineer at CGI?

The work environment for an AI Engineer at CGI is inclusive and collaborative. You will be a part of a close-knit team that has access to global resources while enjoying the personal touch of local operations. The company fosters an atmosphere of growth, inviting you to take charge of your career journey and make meaningful contributions to diverse industries and technologies.

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What are the growth opportunities for AI Engineers at CGI?

At CGI, growth opportunities for AI Engineers are abundant. You will be supported by leaders who genuinely care about your professional development. The company encourages employees to pursue learning opportunities, gain certifications, and participate in mentorship programs to deepen their skills and expand their career paths towards leadership and specialized roles in AI and technology.

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What benefits does CGI offer to AI Engineers?

CGI offers a comprehensive benefits package to its AI Engineers, including competitive salaries, medical and dental plans, 401(k) matching, flexible vacation policies, learning opportunities, and well-being programs. Employees start enjoying these benefits from day one, ensuring a supportive environment that promotes both personal and professional well-being.

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Common Interview Questions for AI Engineer
What frameworks and tools do you prefer when developing AI applications?

In interviews, emphasize your experience with frameworks like FastAPI and Flask, as well as your familiarity with MLOps tools such as Azure ML and AWS SageMaker. Provide examples of specific projects where these tools led to successful outcomes.

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Can you explain your experience with API development?

Describe your experience with building API layers and microservices, detailing the technologies you used such as Docker or Kubernetes. Highlight a particular challenge you faced and how you overcame it.

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How do you ensure high availability and reliability of AI systems?

Talk about the testing, monitoring, and optimization strategies you’ve implemented in earlier projects. Discuss using performance metrics and user feedback to make iterative improvements.

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What is your approach to gathering requirements from stakeholders?

Illustrate your approach by detailing how you engage with clients to understand their needs, document the requirements, and ensure that you’re able to articulate these to both technical and non-technical stakeholders.

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How do you manage collaboration in cross-functional teams?

Share your strategies for facilitating effective communication and collaboration among team members with different expertise. Provide examples of tools or methodologies you’ve used to keep everyone aligned and informed.

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Can you provide an example of a project where you had to pivot your strategy?

Be prepared to recount a specific project where you encountered unexpected challenges. Discuss the reasons for the pivot and how you communicated this change to your team and stakeholders.

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How do you stay current with advancements in AI?

Discuss your methods for staying informed about industry trends, such as following relevant publications, attending conferences, or participating in online courses. Mention any specific areas of AI that excite you, as this demonstrates your passion for the field.

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What project portfolio do you have that demonstrates your skills as an AI Engineer?

Be ready to showcase a portfolio of your work, including links to projects or case studies. Explain your role in each project, the technologies used, and the results you achieved.

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How do you handle feedback from clients or stakeholders?

Talk about your positive approach to receiving feedback, emphasizing how you view it as an opportunity for improvement. Share an example that illustrates a time when you successfully integrated feedback into your work.

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What do you enjoy most about working as an AI Engineer?

Express your enthusiasm for the field and what you love most about the work, whether it's solving complex problems, collaborating with creative teams, or the thrill of seeing your models in a real-world application. Authenticity resonates well in interviews.

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Full-time, remote
DATE POSTED
April 8, 2025

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