Forward Deployed Engineer

Position Description: The best version of us starts with You! We CGI looking for Forward Deployed Engineer. With your expertise, you will work with a high performing team to consult and develop solutions for a major client. As a Forward Deployed Engineer (FDE), you will embed directly with the client's teams to take proof of concept (PoC) initiatives the client has already shortlisted and turn them into working software: validating technical feasibility, hardening the solution into a Minimum Viable Product (MVP), running a scoped pilot, and then partnering with the client's Enterprise Architecture team to roll the solution out across the organization. This position is located on-site in Lafayette, LA (Preferred), Bloomfield, CT, Raleigh, NC or in a Hybrid working Model. Your future duties and responsibilities: . Partner in an embedded, on site/hybrid capacity with the client to take ownership of PoCs the client has already shortlisted and approved for further investment. . Perform technical due diligence on each PoC, assessing architecture, data flows, integration points, and the gap between prototype and production grade software. . Serve as the primary technical point of contact between the client and CGI, providing regular updates on PoC/MVP/pilot progress, risks, and decisions needed. . Partner with CGI's AI/solution architects on solutioning: validating technical approach, leveraging reusable accelerators and best practices, and escalating architecture or design decisions as needed. . Scale validated PoCs into MVPs, building in the engineering rigor (testing, CI/CD, monitoring, security controls) required to support real users. . Design and execute pilot programs to validate MVPs with a limited user base, gather feedback, and define success criteria and exit conditions. . Collaborate closely with the client's Enterprise Architecture team to align each solution's target state architecture, technology standards, and governance requirements. . Develop and execute org wide scaling and rollout plans in partnership with Enterprise Architecture, covering migration approach, integration with existing systems, change management, and knowledge transfer. . Act as the technical bridge between the client's business/product stakeholders and delivery/engineering teams, translating shortlisted ideas into actionable delivery plans. . Identify technical risks, dependencies, and reusable platform components across multiple PoC to scale efforts. . Produce documentation, runbooks, and architecture artifacts to support handoff to steady state operations teams. . Mentor and support client and delivery teams on best practices for rapid prototyping, MVP engineering, and phased scaling. . Design, build, and maintain computer vision pipelines that analyze and extract insights from large volumes of images at scale. . Architect and run AI workloads for both training and inference on cloud platforms such as AWS, Azure, or GCP, optimizing for cost, scalability, and performance. . Develop automation and tooling using Python for data preprocessing, model training, deployment, and monitoring. . Collaborate with cross functional teams to translate complex business problems into machine learning solutions that guide prediction and forecasting. . Address the challenges of building, deploying, and scaling production grade computer vision systems, including data quality, model accuracy, latency, and throughput. . Monitor model performance in production and implement retraining and continuous improvement (MLOps) workflows. Required qualifications to be successful in this role: At least 7+ years of professional software engineering experience in: . Hands on experience with at least one major cloud platform (AWS, Azure, or GCP) and modern DevOps practices. . Computer vision and deep learning frameworks (e.g., PyTorch, TensorFlow, OpenCV) . Building, training, and fine-tuning image processing and deep learning models (classification, detection, segmentation) . Python for ML development, data processing, and automation . Running AI/ML workloads for training and inference on AWS, Azure, or GCP (e.g., SageMaker, Azure ML, Vertex AI) . Processing and managing large scale (TB scale) datasets and their associated data pipelines . Building and scaling production ML systems, including MLOps practices such as model deployment, monitoring, and retraining. . Hands on software/platform engineering experience, including direct experience taking prototypes or PoCs into production. . Demonstrated experience scaling a PoC into an MVP and carrying it through a pilot to broader production rollout. . Strong full stack or platform engineering background, including cloud architecture, APIs, data integration, and CI/CD. . Experience working directly with enterprise architecture teams and standards, translating architectural guidance into working implementations. Good to Have / Bonus Skills: . Distributed and multi GPU training and GPU optimization (e.g., CUDA) . Containerization and orchestration for ML workloads (Docker, Kubernetes) . Large scale data engineering tools (e.g., Spark, Databricks) for image and data processing . MLOps tooling (e.g., MLflow, Kubeflow, SageMaker Pipelines) and predictive/forecasting models Education: Bachelor's degree in computer science or related field. #LI-ARK1 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 $71,700.00 $141,100.00. CGI'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 Skills: Validation Amazon Web Services Cloud Azure Enterprise architecture Artificial Intelligence Machine Learning PyTorch TensorFlow What you can expect from us: 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 View email address on click.appcast.io . 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 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.