Senior AI Engineer

Position Description:

We are seeking an experienced Senior AI Engineer to join our strategic Generative AI initiative supporting one of our largest financial services clients. This is a hands on engineering role where youll design build and deploy scalable AI solutions that automate critical business processes using Large Language Models (LLMs) Agentic AI and modern cloud technologies.

Youll work at the intersection of software engineering and artificial intelligence collaborating with architects product owners and business stakeholders to develop AI agents that solve complex business challenges. This role emphasizes delivering production ready applications rather than proof of concepts with a focus on rapid deployment and continuous improvement in an enterprise environment.


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 Lafayette LA Knoxville TN Birmingham AL or Columbia SC. A hybrid working model is acceptable.

Your future duties and responsibilities:

We are seeking an experienced Senior AI Engineer to join our strategic Generative AI initiative supporting one of our largest financial services clients. This is a hands on engineering role where youll design build and deploy scalable AI solutions that automate critical business processes using Large Language Models (LLMs) Agentic AI and modern cloud technologies.
Youll work at the intersection of software engineering and artificial intelligence collaborating with architects product owners and business stakeholders to develop AI agents that solve complex business challenges. This role emphasizes delivering production ready applications rather than proof of concepts with a focus on rapid deployment and continuous improvement in an enterprise environment.

Required qualifications to be successful in this role:

. Design and develop enterprise grade AI applications using Python and AWS cloud services
. Build and optimize AI agents and intelligent workflows to automate business processes
. Develop and maintain Retrieval Augmented Generation (RAG) solutions leveraging enterprise knowledge sources
. Design develop and integrate REST APIs and microservices that support AI applications
. Create scalable secure and reliable AI services ready for production environments
. Optimize prompts workflows and AI model performance to ensure accuracy and efficiency at scale
. Integrate AI solutions with existing enterprise applications APIs and cloud infrastructure
. Participate in architecture discussions code reviews and technical design sessions
. Identify and troubleshoot production issues driving continuous improvements to application performance
. Collaborate with cross functional teams in an Agile environment to deliver AI solutions on aggressive timelines

Required qualifications to be successful in this role

. Software Engineering & Development 5 years of professional software engineering experience with a track record of delivering production grade applications Advanced proficiency in Python with expertise in writing clean maintainable and well tested code Strong object oriented programming principles and design patterns Proven experience designing and building REST APIs Solid understanding of Git version control and collaborative workflows Experience implementing CI/CD pipelines and automated testing frameworks Strong analytical and problem solving abilities with excellent debugging skills

. Generative AI & Large Language Models Hands on experience building and deploying production applications using Large Language Models (LLMs) Practical knowledge of Agentic AI and AI Agent development patterns Competency in prompt engineering and optimization techniques Experience implementing Retrieval Augmented Generation (RAG) architectures Understanding of tool and function calling within LLM applications Familiarity with structured outputs and data validation in AI systems Experience working with vector databases and semantic search implementations Demonstrated ability to deploy and support AI applications in production environments
. Cloud Infrastructure & AWS Services Proficiency with Amazon Web Services (AWS) cloud platform Experience with AWS Lambda API Gateway and ECS/EKS container orchestration Familiarity with AWS Step Functions for workflow orchestration Knowledge of AWS data services including DynamoDB and OpenSearch Experience with event driven architecture using EventBridge SQS and SNS Understanding of CloudWatch for monitoring and observability Knowledge of AWS IAM for security and access management
. Enterprise Development Practices Understanding of microservices architecture and design principles Experience with event driven system design and implementation Ability to integrate with complex enterprise APIs and systems Knowledge of secure software development practices and principles Experience implementing production monitoring logging and observability solutions

Desired Skillset:

. Amazon Bedrock and related AWS AI services
. LLM frameworks and orchestration tools (LangChain LangGraph CrewAI AutoGen Semantic Kernel)
. Model Context Protocol (MCP)
. Containerization and orchestration (Docker Kubernetes)
. FastAPI or similar Python web frameworks
. AI evaluation and testing frameworks
. Knowledge graph technologies
. Enterprise AI governance practices
. Financial services domain platforms and tools

Education:
Bachelors degree in Computer Science Information Technology Engineering Data Science or a related technical discipline.

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 $123200.00 $156700.00.
CGIs benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation holidays and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs

Skills:

• Amazon Web Services Cloud
• Artificial Intelligence
• Data Validation
• GIT
• Python
• RESTful (Rest-APIs)
• Problem Solving

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 . 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.

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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.