CGI
Overview
Join to apply for the
GenAI Engineer (Future Work)
role at
CGI .
CGI Federal is currently seeking forward-thinking Generative AI Engineers for future projects/work. The ideal candidate will design, develop, and deploy cutting-edge AI models that generate original content across modalities—text, image, audio, and code. This role is ideal for someone passionate about deep learning, creative problem-solving, and pushing the boundaries of artificial intelligence.
This role will be onsite in Woodlawn, MD (no remote). Candidates should reside within 2 hours of Woodlawn, MD.
Your future duties and responsibilities
Design and develop generative models: This includes working with architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and especially transformer-based models (like those behind LLMs).
Fine-tuning and optimization: Adapting pre-trained generative models for specific tasks and datasets, optimizing their performance, efficiency, and the quality of their generated output.
Prompt engineering: Crafting and refining prompts to guide generative models to produce desired outputs, often for specific applications (e.g., content creation, code generation, design).
Build AI pipelines: Creating the infrastructure and workflows for data preparation, model training, deployment, and ongoing monitoring of generative AI systems.
Integration: Incorporating generative AI models into existing software applications and products.
Research and experimentation: Staying up to date with the latest research in generative AI and experimenting with new algorithms and techniques.
Ethical considerations: Understanding and addressing potential biases, misuse, and ethical implications of generative AI.
All other duties as assigned or directed.
Qualifications
Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field; Masters or Doctorate degree may substitute for required experience
Minimum 5 years of hands-on experience designing, developing, and implementing AI models (Generative AI experience preferred)
Strong foundation in Machine Learning, Deep Learning, and neural networks (GANs, VAEs, Transformers, LLMs).
Proficiency in programming languages, especially Python, and relevant libraries (Scikit-Learn, TensorFlow, PyTorch, Keras).
Expertise in Natural Language Processing (NLP) for text and language generation.
Data management, preprocessing, and feature engineering skills.
Expertise with prompt engineering techniques for guiding AI models.
Experience with cloud-based AI platforms (AWS, Azure).
Knowledge of software development best practices, including CI/CD pipelines, version control, and testing.
Working knowledge of Retrieval Augmented Generation (RAG) to enhance LLM responses
Experience integrating GenAI models and services into existing applications using APIs
Problem-solving, analytical, and critical thinking skills.
Strong communication and collaboration abilities.
Understanding of AI ethics and responsible AI development.
Prior experience with federal or state governments IT projects.
Familiarity with various LLM models available in the market
Must be able to obtain and maintain a Public Trust.
Compliance and equal opportunity 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 US_Employment_Compliance@cgi.com. 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.
Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: IT Services and IT Consulting
#J-18808-Ljbffr
GenAI Engineer (Future Work)
role at
CGI .
CGI Federal is currently seeking forward-thinking Generative AI Engineers for future projects/work. The ideal candidate will design, develop, and deploy cutting-edge AI models that generate original content across modalities—text, image, audio, and code. This role is ideal for someone passionate about deep learning, creative problem-solving, and pushing the boundaries of artificial intelligence.
This role will be onsite in Woodlawn, MD (no remote). Candidates should reside within 2 hours of Woodlawn, MD.
Your future duties and responsibilities
Design and develop generative models: This includes working with architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and especially transformer-based models (like those behind LLMs).
Fine-tuning and optimization: Adapting pre-trained generative models for specific tasks and datasets, optimizing their performance, efficiency, and the quality of their generated output.
Prompt engineering: Crafting and refining prompts to guide generative models to produce desired outputs, often for specific applications (e.g., content creation, code generation, design).
Build AI pipelines: Creating the infrastructure and workflows for data preparation, model training, deployment, and ongoing monitoring of generative AI systems.
Integration: Incorporating generative AI models into existing software applications and products.
Research and experimentation: Staying up to date with the latest research in generative AI and experimenting with new algorithms and techniques.
Ethical considerations: Understanding and addressing potential biases, misuse, and ethical implications of generative AI.
All other duties as assigned or directed.
Qualifications
Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field; Masters or Doctorate degree may substitute for required experience
Minimum 5 years of hands-on experience designing, developing, and implementing AI models (Generative AI experience preferred)
Strong foundation in Machine Learning, Deep Learning, and neural networks (GANs, VAEs, Transformers, LLMs).
Proficiency in programming languages, especially Python, and relevant libraries (Scikit-Learn, TensorFlow, PyTorch, Keras).
Expertise in Natural Language Processing (NLP) for text and language generation.
Data management, preprocessing, and feature engineering skills.
Expertise with prompt engineering techniques for guiding AI models.
Experience with cloud-based AI platforms (AWS, Azure).
Knowledge of software development best practices, including CI/CD pipelines, version control, and testing.
Working knowledge of Retrieval Augmented Generation (RAG) to enhance LLM responses
Experience integrating GenAI models and services into existing applications using APIs
Problem-solving, analytical, and critical thinking skills.
Strong communication and collaboration abilities.
Understanding of AI ethics and responsible AI development.
Prior experience with federal or state governments IT projects.
Familiarity with various LLM models available in the market
Must be able to obtain and maintain a Public Trust.
Compliance and equal opportunity 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 US_Employment_Compliance@cgi.com. 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.
Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: IT Services and IT Consulting
#J-18808-Ljbffr