> Markdown version of [/jobs/ext/4657776-ai-developer](https://www.wearedevelopers.com/jobs/ext/4657776-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Developer

- **Company:** Cgi Inc.
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Salary:** $103,300
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Data Transformation, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, Standard Sql, Search Technologies, Software Engineering, Data Streaming, Systems Integration, Feature Engineering, Data Ingestion, Pytorch, Retrieval-Augmented Generation, Palantir Foundry, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Git, SC Clearance, Scikit Learn, Data Management, Machine Learning Operations, Evaluation of Large Language Models, Restful APIs, Spacy, Software Version Control, Data Pipelines, Unsupervised Learning, Databricks
- **Published:** November 10, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9303409/ai-developer

## About the Role

Bachelor's degree in a related field (or equivalent experience).
2-4 years of experience in software development, data engineering, and/or applied AI/ML development.
Proficiency in Python; strong SQL and data transformation fundamentals.
Experience with ML/AI libraries/frameworks (e.g., scikit learn, PyTorch, TensorFlow, Transformers, spaCy).
Experience implementing end to end workflows: preprocessing ? training ? evaluation ? inference.
Familiarity with Git and CI/CD fundamentals; strong problem solving and communication skills.
Ability to obtain and maintain a Secret clearance.

Desired qualifications/non essential skills required:
Hands on experience with Palantir Foundry (pipelines/transforms, data products; familiarity with ontology concepts and Foundry applications/workflows).
Experience integrating Foundry or data platforms with external systems via REST APIs and connectors.
Familiarity with governance/security concepts in regulated environments.
Experience with RAG, vector databases, embeddings, prompt engineering, and LLM evaluation.
Cloud experience (AWS/Azure/GCP) for data + AI workloads.
Familiarity with MLOps (model versioning, monitoring, CI/CD for ML).
Experience with Spark/Databricks or other distributed compute., * Application Development

 * Client management
 * English

## Description

CGI Federal is seeking an AI Developer to build modern, production grade AI applications for federal clients. This role combines software engineering and data engineering fundamentals with hands on applied AI development (including traditional ML, NLP, and generative AI). You will design, implement, and operationalize AI capabilities in secure, governed environments-often leveraging Palantir Foundry to accelerate data ingestion, transformation, governance, and delivery of AI ready data products and workflows., Develop and maintain AI enabled applications, including data processing pipelines, ML models, and generative AI workflows.
Build end to end solutions across ingestion, transformation, feature engineering, training/evaluation, and inference.
Implement AI techniques such as supervised/unsupervised learning, NLP pipelines, embeddings/vector search, RAG workflows, and model evaluation.
Use Palantir Foundry to build and support pipelines/transforms, data products, and workflows that enable analytics and ML readiness.
Integrate AI components with cloud services and external systems via APIs/connectors (REST) and downstream applications.
Develop reusable components (Python packages, notebooks, APIs, automation) following best practices (Git, CI/CD, testing, code review).
Troubleshoot and optimize data quality, model performance, and inference reliability; perform root cause analysis.
Document models, data flows, assumptions, and operational procedures; communicate technical tradeoffs to stakeholders.