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Added 1 min ago
Network Engineer, Deployment & Support
Meta
Papillion, NE
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy,…
Added 1 min ago
Software Engineer, Systems ML
Meta
Lincoln, NE
Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive…
Added 1 min ago
Staff Full-stack Engineer - Shopping (Remote-eligible)
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As a Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of…
Added 2 mins ago
Data Scientist 1
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Lincoln, NE
Applied Data Science and Experimentation | 20% : Apply statistical analysis, machine learning, natural
Added 2 mins ago
PN
Research Engineer II - Building Energy Analysis
Pacific Northwest National Laboratory
Lincoln, NE
- $89,300 USD / year
The BS&DG is seeking a Research Engineer II - Building Energy Analysis with strong knowledge of building energy systems, programming and data analysis skills, and experience evaluating…
Added 7 mins ago
DISTINGUISHED SCIENTIST/ENGINEER FOR USW THEATER OPERATIONS
Naval Sea Systems Command
Naval Base Newport, RI
Added 16 mins ago
Founding Engineer, Process Modelling & Product
Roosevelt Talent
San Francisco, CA
…the world manages wastewater. Across thousands of factories and treatment plants, operators still record data, collect samples, and run lab work by hand to make the decisions that keep…
Added 17 mins ago
Senior AI Engineer – Claude & Databricks
Techstra Solutions
Pittsburgh, PA
Design and develop data pipelines supporting AI, analytics, and machine learning workloads.
Added 17 mins ago
Mid-Level Databricks Engineer
Techstra Solutions
Pittsburgh, PA
We are seeking a Mid-Level Databricks Engineer to design, develop, and support scalable data solutions using Databricks and modern cloud data platforms. This role will focus on building…
Added 17 mins ago
Senior Databricks Engineer
Techstra Solutions
Pittsburgh, PA
We are seeking a Senior Databricks Engineer / Technical Lead with 10+ years of experience in data engineering, data warehousing, and ETL/ELT, including significant hands-on experience…
Added 17 mins ago
Machine Learning Engineer Senior
Techstra Solutions
Dallas, TX
Leads in the development of cross-functional, multi-platform machine learning software systems. Uses technical knowledge and industry experience to design, build and maintain technology…
Added 20 mins ago
PN
Research Engineer II - Building Energy Analysis
Pacific Northwest National Laboratory
Jackson, MS
- $89,300 USD / year
The BS&DG is seeking a Research Engineer II - Building Energy Analysis with strong knowledge of building energy systems, programming and data analysis skills, and experience evaluating…
Added 26 mins ago
Databricks Engineer & AI Enablement Architect - Data Engineer III
Deloitte US
Baltimore, MD · Rosslyn, VA · Washington, DC
Databricks Certified Data Engineer Professional, Data Analyst Associate, Machine Learning Professional, or Generative AI Engineer Associate certification
Added 1 hour ago
Al ML Engineer
CGI Technologies and Solutions, Inc.
Lafayette, LA
The AI/ML Engineer is an engineer responsible for developing, testing, and deploying machine learning solutions that support analytics, automation, and decision making capabilities. This…
Added 1 hour ago
Forward Deployed Engineer
CGI Technologies and Solutions, Inc.
Lafayette, LA
. Collaborate with cross functional teams to translate complex business problems into machine learning solutions that guide prediction and forecasting.
Added 1 hour ago
Research Scientist/Engineer 4 - Biostatistics Department (temporary)
University of Washington
Seattle, WA
Reporting to Dr. Ali Shojaie, Department of Biostatistics Interim Chair and PI, the Research Scientist/Engineer 4 will be responsible for developing new statistical machine learning and AI…
Added 1 hour ago
Lead AI Software Engineer
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Louisville, KY · Fort Lauderdale, FL · Nashville, TN · Tampa, FL · Dallas, TX
Develop production-grade applications integrating AI and machine learning capabilities.
Added 1 hour ago
Data Engineer - AI-Enabled Capacity Analytics
Comcast
Philadelphia, PA
Join Comcast's National Traffic and Capacity Management (NTCM) team as a Data Engineer III and help build trusted data solutions that support network capacity planning and optimization…
Added 2 hours ago
KC
Customer Engagement Engineer (FaST)
KLA Corporation
Hillsboro, OR
- $136,700 to $232,400 USD / year
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon…
Added 2 hours ago
Principal Engineer, Physical Design (ASIC Place & Route) (San Jose, CA) (7429)
TSMC
San Jose, CA
…semiconductor industry since 1987. With teams located in San Jose, CA, and Austin, TX, TTI is dedicated to advancing semiconductor technology through expertise in physical design, memory…
Added 2 hours ago
IC
Intel Foundry Advanced Device Development Engineer
Intel Corporation
OR
- $136,900 to $193,270 USD / year
Expertise in agentic AI and orchestrated LLM workflows, machine learning, deep learning, Retrieval-Augmented Generation (RAG), knowledge engineering, and dataflow pipeline architectures
Added 2 hours ago
IC
Intel Foundry Advanced Device Development Engineer
Intel Corporation
OR
- $136,900 to $269,150 USD / year
Expertise in agentic AI and orchestrated LLM workflows, machine learning, deep learning, Retrieval-Augmented Generation (RAG), knowledge engineering, and dataflow pipeline architectures
Added 2 hours ago
AI Advisor
Altamira Technology Corporation
Suitland, MD
Strong network within the AI, machine learning, and analytics community
Added 2 hours ago
SE
Systems Engineer, AI Requirements (SAB-2611-05)
Sabre Engineering Inc
Columbia, MD
- $120,000 to $174,000 USD / year
Added 2 hours ago
Al Engineer
Noblis
Bethesda, MD
This role is critical to developing, deploying, and maintaining advanced AI/ML models that support the IC community. The ideal candidate will possess deep expertise or understanding in…

CGI Technologies and Solutions, Inc.

Forward Deployed Engineer

Lafayette, LA, United States

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Job details

Experience: At least 7+ years of professional software engineering experience in:
Posting language: English
Posted: Oct 19, 2026

Original job description

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.

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

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.

CGI is an Equal Opportunity Employer, to include disability and protected veteran status; we are committed to compliance with U.S. laws and regulations.

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