Senior GenAI Developer

Senior GenAI Developer

Category:
Software Development/ Engineering

Main location:
United States, Various

Position : J

Employment Type:

Full Time

U.S.

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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.

We are seeking a skilled and experienced Generative AI Developer to join our team. This role is ideal for a senior level professional with a strong background in software engineering and hands on experience in AI/ML, particularly in the financial or legal domain. You will be responsible for designing and refining prompts for large language models (LLMs), developing data pipelines, and deploying AI solutions that enhance financial reporting and client communication tools.

This is a collaborative role that requires both technical expertise and the ability to align AI solutions with business goals.

• . 7+ years of experience in software engineering, ideally with exposure to financial or legal systems.
• . 3+ years of hands on experience in AI/ML roles, including prompt engineering for LLMs.
• . Proficient in Python and SQL for data analysis and manipulation.
• . Strong experience with AWS services, especially Sage Maker, S3, Redshift, and Lambda.
• . Solid understanding of financial data, KPIs, and reporting standards.
• . Experience building and maintaining ETL workflows and data pipelines.
• . Familiarity with LLMs such as Anthropic Claude or Sonnet.
• . Ability to collaborate effectively with cross functional teams including data scientists and business stakeholders.
• . Excellent written and verbal communication skills.
• . Experience with vector databases like FAISS or Pinecone.
• . Knowledge of retrieval augmented generation (RAG) techniques.
• . Exposure to data visualization tools such as Power BI or Tableau.
• . Understanding of MLOps practices and model lifecycle management.

Bachelor's Degree in Computer Science or a related field is required.

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 $ $.

#LI-SK8

• . 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

• Amazon Web Services Cloud
• Communication
• Data Analysis
• ETL
• Python
• SQL
• Tableau

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