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Added 2 mins ago
MACHINE LEARNING ENGIENEER II (REMOTE)
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Position Purpose:The Machine Learning Engineer II is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a…
Added 3 mins ago
Director, Facilities Construction
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Added 14 mins ago
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CGI Technologies and Solutions, Inc.

AI/ML Engineer (Full Stack) - Emerging Technologies Practice

Fairfax, VA, United States

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Job details

Posting language: English
Posted: Oct 9, 2026

Original job description

AI/ML Engineer (Full Stack) - Emerging Technologies Practice

Position Description

CGI is actively seeking an AI/ML and Emerging Tech Expert to join our Emerging Technologies Practice and lead the design and delivery of AI driven applications across our Federal Portfolio. You will work end to end - from proofs of concept to production - partnering with solution architects, data scientists, and engineering teams to turn ideas into scalable, secure solutions. This role blends full stack engineering with modern AI/ML, integrating generative AI and advanced analytics within Azure, AWS, and GCP to achieve tangible business outcomes. If you are a creative problem solver who thrives in fast moving, highly collaborative environments, come help us push the boundaries of AI and emerging technologies.

This position is located in our Fairfax, VA or Lafayette, LA office; however, a hybrid working model is acceptable

Your future duties and responsibilities

. AI/ML Solutioning & Delivery

o Design, build, and deploy AI/ML solutions and generative AI applications; architect complex AI pipelines.

o Harness large datasets; conduct data mining/analysis; design algorithms and simulations; optimize models for real world performance and cost.

. Full Stack Engineering

o Implement front end (HTML/CSS/JavaScript; React or Angular) and back end services (Python/Flask/Django; Node.js; Java) that integrate AI capabilities.

o Develop robust APIs and microservices; ensure seamless functionality and exceptional UX across platforms.

. Cloud & DevSecOps

o Deliver against strategic roadmaps for AI and Analytics architectures across Azure, AWS, GCP.

o Package and deploy via containerization (Docker, Kubernetes); automate CI/CD (Jenkins, GitLab) and IaC (Terraform, AWS CloudFormation).

o Establish best practices and patterns for AI & analytics; implement monitoring, observability, and model governance.

. Graph Database Development

o Design, implement, and optimize GraphDB solutions (e.g., Neo4j, Amazon Neptune) for AI driven applications.

o Integrate graph based data models into AI pipelines for knowledge graphs, entity relationships, and semantic search.

. Collaboration & Client Engagement

o Work closely with data scientists and software engineers to integrate AI into enterprise systems.

o Coordinate with client and engineering teams to build, monitor, and maintain solutions.

o Support client development opportunities and contribute to thought leadership and demos/POCs.

Required qualifications to be successful in this role

Education

o Bachelor's (required) or Master's (preferred) in Computer Science, Software Engineering, Artificial Intelligence & Machine Learning, related field.

Experience

o 2+ years designing, developing, and deploying AI/ML or advanced software solutions.

o Proven experience designing and integrating AI/GenAI into products and enterprise applications.

o Demonstrated success delivering full stack solutions that embed AI capabilities.

o Hands on experience with GraphDB engineering and development (Neo4j, Amazon Neptune, or similar).

Technical Skills

o Programming: Python (expert) plus Java

o ML/Deep Learning: TensorFlow, PyTorch; model training, tuning, serving, and monitoring.

o Generative AI: hands on with LLMs; prompt engineering; fine tuning; RAG patterns; vector databases.

o Web & APIs: HTML/CSS/JS; React or Angular; Node.js/Python/Java back ends; REST/GraphQL.

o DevOps/MLOps: Docker, Kubernetes, Terraform, AWS CloudFormation; CI/CD with Jenkins/GitLab/Bitbucket; testing frameworks; package managers.

o Cloud: Production experience on Azure, AWS, and GCP.

o Data: SQL and NoSQL databases; GraphDB; data pipelines; feature stores.

Professional

o Excellent problem solving, verbal and written communication.

o Ability to work independently and within agile teams.

o Strong collaboration skills across cross functional stakeholders.

Desired qualifications/non essential skills required:

. Advanced degree (MS/PhD) in AI/ML or related field.

. Certifications in Azure/AWS/GCP; Kubernetes, Terraform, or ML specific certifications are a plus.

. Deep proficiency in Generative AI, including RAG, LLM orchestration frameworks, and model lifecycle governance.

. Portfolio of successful AI projects; evidence of thought leadership (POCs, publications, OSS contributions).

. Familiarity with federal sector standards (e.g., secure SDLC, data governance, compliance frameworks) and industry AI use cases.

. Strong client facing skills: solution storytelling, demos, and executive level presentations.

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 $90,700.00 $198,400.00.

CGI Federal's benefits are offered to eligible professionals on their first day of employment to include:

. 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

#CGIFederalJob

#LI RJ1

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team - one of the largest IT and business consulting services firms in the world.

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.

We make it easy to translate military experience and skills! Click here (https://cgi-veterans.jobs/) to be directed to our site that is dedicated to veterans and transitioning service members.

All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.

CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI’s legal duty to furnish information.

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More about this job

Skills

ML
Microsoft Azure
AWS
Google Cloud
Data mining
HTML
CSS
JavaScript
React
Python
Flask
Django
Node.js
Oracle Java
Microservices
Google Analytics
Docker
Kubernetes
CI/CD
Jenkins
GitLab
Infrastructure as code
IBM Terraform
Data models
Collaboration
Leadership
Computer science
Artificial intelligence
Machine learning
Neo4j
Deep learning
TensorFlow
PyTorch
GraphQL
DevOps
Atlassian Bitbucket
SQL
NoSQL
Problem solving
Communication skills

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