GenAI Developer

CGI•Reston, VA

1d•Hybrid

About The Position

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. We are seeking an experienced Generative AI Developer to join our team on a contract basis in Plano, Texas. 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.

Requirements

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
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
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

Nice To Haves

Knowledge of CI/CD pipelines and infrastructure-as-code (preferred)
Familiarity with data visualization tools (Power BI, Tableau)
Exposure to multi-modal AI (text + image) is a plus

Responsibilities

Design, build, and deploy GenAI-powered solutions—including chatbots and intelligent workflows—for external web applications.
Implement Retrieval-Augmented Generation (RAG) pipelines
Develop agentic AI workflows
Integrate large language models (LLMs) with enterprise systems and APIs.
Close collaboration with UX, backend, DevOps, and business stakeholders to ensure solutions are secure, scalable, and aligned with organizational goals.
Prompt engineering
Model optimization
Monitoring
Governance
Ongoing production support