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 clients 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 clients 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 CGIs 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 clients Enterprise Architecture team to align each solutions 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 clients 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: Bachelors 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 $71700.00 $141100.00.

CGIs 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
• Embedded Software Development
• Enterprise architecture
• Google Cloud Platform
• Stakeholder management
• Systems Architecture
• Artificial Intelligence
• Python
• PyTorch

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll 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.

Youll shape your career by joining a company built to grow and last. Youll 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 teamone 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 . 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.

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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 CGIs legal duty to furnish information.