GenAI Developer

GenAI Developer at CGI

CGI has an immediate need for a GenAI Developer to join our team. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest customers. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies. 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 Reston, VA or Plano, TX. A hybrid working model is acceptable.

Your Future Duties and Responsibilities

We are seeking an an experienced Generative AI Developer to join our team. This role is best suited for a mid- to senior-level professional with a strong foundation in software engineering and hands-on expertise in AI/ML, particularly within financial or legal environments.

In this position, you will design, build, and deploy GenAI-powered solutions—including chatbots and intelligent workflows—for external web applications. You will implement Retrieval-Augmented Generation (RAG) pipelines, develop agentic AI workflows, and integrate large language models (LLMs) with enterprise systems and APIs. The role requires close collaboration with UX, backend, DevOps, and business stakeholders to ensure solutions are secure, scalable, and aligned with organizational goals.

You will also be responsible for prompt engineering, model optimization, monitoring, governance, and ongoing production support. This position combines technical depth with business alignment and client interaction, making strong communication skills essential.

Required Qualifications To Be Successful In This Role

• 8+ years of software engineering experience, ideally supporting financial or legal systems
• 2–3 years of hands-on AI/ML experience, including prompt engineering for LLMs
• Strong Python proficiency (primary language) and solid SQL skills
• Deep experience with AWS services, including: SageMaker / Amazon Bedrock, Lambda, API Gateway, S3, DynamoDB, Redshift, OpenSearch, IAM and CloudWatch
• Experience deploying and managing AI solutions in production environments
• Proven experience implementing RAG architectures using structured and unstructured data
• Experience with vector databases such as FAISS, Pinecone, OpenSearch, Weaviate, or Chroma
• Familiarity with LLM platforms (OpenAI, Anthropic Claude, LLaMA, Mistral, etc.)
• Experience with agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, LangChain Agents)
• Experience building ETL workflows and data pipelines
• Understanding of MLOps practices and model lifecycle management
• REST API development and enterprise system integrations
• Knowledge of CI/CD pipelines and infrastructure-as-code (preferred)
• Strong understanding of financial data, KPIs, and reporting standards
• Experience implementing AI guardrails, monitoring, logging, and feedback loops
• Knowledge of AI governance, security, and responsible AI standards
• Familiarity with data visualization tools (Power BI, Tableau)
• Exposure to multi-modal AI (text + image) is a plus
• Strong analytical and problem-solving abilities
• Comfortable explaining complex AI concepts to non-technical stakeholders
• Experience working in Agile/Scrum environments
• Client-facing experience preferred
• Ability to manage production issues and incident resolution
• Excellent written and verbal communication skills

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Key skills/competency

• Generative AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Python
• AWS (SageMaker, Bedrock)
• Software Engineering
• AI/ML
• Financial Services
• MLOps
• Prompt Engineering