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Gen AI Developer

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: CGI Group Inc.
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
U.S.

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Position

Description:

CGI is seeking an experienced AI Developer to design, build, and deploy Agentic AI solutions that automate and optimize complex business workflows within a highly regulated financial services environment. This role focuses on developing intelligent, LLM-powered multi-agent systems using AWS Strands and related AWS services to streamline business processes, improve decision-making, and drive operational efficiency.

We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!.

This role is located at a client site in either Reston, VA. A hybrid working model is acceptable.

Your future duties and responsibilities:

CGI is seeking an experienced AI Developer to design, build, and deploy Agentic AI solutions that automate and optimize complex business workflows within a highly regulated financial services environment. This role focuses on developing intelligent, LLM-powered multi-agent systems using AWS Strands and related AWS services to streamline business processes, improve decision-making, and drive operational efficiency.

The ideal candidate will combine strong AI engineering expertise with cloud-native development skills to create scalable, production-grade solutions. Responsibilities include designing agent architectures, integrating AI systems with enterprise platforms and APIs, implementing Retrieval-Augmented Generation (RAG) capabilities, and translating business requirements into AI-driven automation workflows. The role requires close collaboration with business stakeholders, architects, and technology teams to deliver innovative solutions aligned with an AI-first operating model.

Required qualifications to be successful in this role:

. 5+ years of software development and cloud engineering experience, with 2+ years focused on Generative AI, LLMs, Agentic AI, or related AI/ML technologies.

. Strong proficiency in Python development, including building scalable AI and automation solutions.

. Hands-on experience with AWS cloud services, particularly Bedrock, Lambda, API Gateway, and related serverless technologies.

. Deep understanding of Generative AI, Large Language Models (LLMs), and prompt engineering.

. Experience designing and implementing Agentic AI frameworks and multi-agent architectures.

. Knowledge of Retrieval-Augmented Generation (RAG) patterns and vector-based search solutions.

. Ability to integrate AI solutions with enterprise applications, APIs, and data platforms.

. Experience developing and deploying production-grade AI applications in cloud environments.

. Understanding of workflow orchestration, automation, and AI-driven decisioning.

. Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.

. Experience working within financial services, mortgage, lending, risk, compliance, or related regulated industries is highly preferred.

. Familiarity with software engineering best practices, including testing, CI/CD, monitoring, and cloud security.

. Strong communication and stakeholder management skills.

Desired Skillset:

AWS certifications (such as AWS Certified Developer, Solutions Architect, or Machine Learning Specialty) are highly desirable.

Education:

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related technical field.

Other Information:

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 $ - $.

CGI's benefits are offered to eligible…
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