At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.
Job Description:
Parsons is looking for an Applied AI Engineer to help build production-grade AI applications that transform complex real-world data into actionable information.
This role sits at the intersection of applied AI, computer vision, robotics, geospatial systems, and software engineering. You will work with diverse data sources, including drone imagery and video, mobile and 360° imagery, point clouds, LiDAR, geospatial data, and 3D models, and develop systems that apply modern AI techniques to analyze, organize, and reason over that information.
Our work increasingly touches drones, intelligent sensing, and autonomy, particularly where AI can improve how real-world environments are captured, reconstructed, understood, and inspected.
This is a hands-on engineering role for someone who enjoys taking ideas from prototype to production. You should be comfortable working across AI models, backend services, data pipelines, and user-facing applications.
This role would be based out of Parsons Westminster, Colorado office and will require in-office presence.
What You'll Do
- Design and build AI-enabled applications from prototype through production.
- Develop computer vision and multimodal AI workflows for imagery, video, drone data, geospatial data, and 3D environments.
- Apply modern techniques including segmentation, feature extraction, self-supervised learning, foundation models, LLMs, and VLMs.
- Develop AI workflows supporting drone-based inspection, mapping, perception, and emerging autonomous capabilities.
- Develop scalable Python services and APIs using frameworks such as FastAPI.
- Build data pipelines integrating AI inference, SQL databases, APIs, sensor-derived data, and external data sources.
- Optimize and deploy AI models using PyTorch, ONNX, and related inference tooling.
- Collaborate with engineers and domain experts to turn loosely defined technical problems into usable software.
- Contribute to software architecture, testing, source control, automated deployment, and production reliability.
- Rapidly evaluate emerging AI techniques and determine where they provide practical value.
- Bachelor's degree in Computer Science, Engineering, Robotics, Data Science, or a related technical discipline, or equivalent practical work experience.
- 2+ years of experience building production-grade software using Python.
- Strong software engineering fundamentals, including modular design, testing, debugging, and maintainable code.
- Experience developing and integrating machine-learning or computer-vision models into real applications.
- Experience with PyTorch or a comparable ML framework.
- Experience building APIs and backend services; FastAPI or similar Python frameworks preferred.
- Experience working with SQL databases and structured data.
- Familiarity with modern AI techniques such as computer vision foundation models, embeddings, LLMs, or VLMs.
- Proficiency with Git/source control, Linux development environments, and CI/CD workflows.
- Ability to independently prototype, evaluate, and productionize new technical approaches.
- Experience with TypeScript and React or similar modern web-development frameworks.
- Experience building full-stack AI applications.
- Experience with geospatial or 3D data, including one or more of: LiDAR and point cloudsPhotogrammetryGIS/geospatial imageryDigital twins or facility modelsCamera geometry and 3D reconstruction
- Experience working with drone platforms, aerial imagery, mapping, or autonomous sensing systems.
- Experience with ONNX, GPU inference, model optimization, or edge deployment.
- Experience developing applications using LLMs or VLMs or SSL methods (SAM, DINO v3)
- Experience with segmentation, feature matching, embedding models, or self-supervised computer vision.
- Familiarity with Docker, cloud deployment, automated testing, and modern DevOps practices.
- Familiarity with ROS/ROS 2, localization, sensor systems, or robotics software.
- Experience working with drone, mobile, camera, or other real-world sensor datasets.
We are looking for a builder: someone who can understand a technical problem, explore modern AI approaches, implement the supporting software, and deliver something people can actually use.
The ideal candidate is comfortable moving between AI experimentation and production engineering and is excited by problems involving computer vision, drones, spatial data, intelligent sensing, and real-world infrastructure.
Security Clearance Requirement:
NoneThis position is part of our Critical Infrastructure team.For more than 80 years, our experts have designed and delivered the critical infrastructure that connects and protects communities around the world. We work in collaborative teams, both within the company and with our partners and customers, to plan, design, build, and modernize infrastructure. We take special pride in projects and solutions that improve communities as well as people’s quality of life by promoting economic growth, enhancing mobility, and increasing sustainability and resiliency. Powered by our people, we provide the imagination necessary to support our customers’ visions—and to help them see what's next!Salary Range: $74,800.00 - $130,900.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Robotics, Data Science, a related technical discipline, or equivalent practical work experience
- 2 or more years of experience building production-grade software using Python
- Strong software engineering fundamentals, including modular design, testing, debugging, and maintainable code
- Experience developing and integrating machine-learning or computer-vision models into real applications
- Experience with PyTorch or a comparable machine-learning framework
- Experience building APIs and backend services
- Experience working with SQL databases and structured data
- Familiarity with computer vision foundation models, embeddings, LLMs, or VLMs
- Proficiency with Git or source control, Linux development environments, and CI/CD workflows
- Ability to independently prototype, evaluate, and productionize new technical approaches
- Experience with FastAPI or similar Python frameworks
- Experience with TypeScript and React or similar modern web-development frameworks
- Experience building full-stack AI applications
- Experience with geospatial or 3D data, including LiDAR, point clouds, photogrammetry, GIS, geospatial imagery, digital twins, facility models, camera geometry, or 3D reconstruction
- Experience with drone platforms, aerial imagery, mapping, or autonomous sensing systems
- Experience with ONNX, GPU inference, model optimization, or edge deployment
- Experience developing applications using LLMs, VLMs, or self-supervised learning methods such as SAM or DINO v3
- Experience with segmentation, feature matching, embedding models, or self-supervised computer vision
- Familiarity with Docker, cloud deployment, automated testing, and modern DevOps practices
- Familiarity with ROS or ROS 2, localization, sensor systems, or robotics software
- Experience working with drone, mobile, camera, or other real-world sensor datasets
Parsons Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Parsons Corporation and has not been reviewed or approved by Parsons Corporation.
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Retirement Support — Retirement programs are framed as a major value driver, with an ESOP alongside a 401(k) match and additional stock-purchase options contributing meaningfully to total rewards. This structure is positioned as especially attractive for employees who value long-term wealth-building over immediate cash.
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Healthcare Strength — Health coverage is described as broad and choice-rich, with multiple plan types (PPO, HDHP, and some HMO networks) plus dental, vision, EAP, and wellness resources. The availability of different plan designs and national-carrier coverage supports varied employee needs.
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Leave & Time Off Breadth — Time-off offerings are portrayed as competitive, including PTO, holidays, flexible schedules such as a 9/80 option for eligible roles, and floating holidays in the U.S. Paid parental leave of 160 hours is also highlighted as a meaningful component of the overall package.
Parsons Corporation Insights
What We Do
Parsons is a digitally enabled solutions provider with a focus on making the world safer, smarter, healthier, more sustainable, and more connected. Founded in 1944, Parsons primarily serves the defense, security, and infrastructure markets. Uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services, the corporation delivers state-of-the-art solutions to federal, regional, and local government agencies as well as to private industrial customers worldwide. Parsons has a reputation for inclusion and diversity and has been named to the Ethisphere Institute’s list of World’s Most Ethical Companies for 10 consecutive years. Parsons facilitates a culture of innovation by encouraging collaboration among its employees and providing opportunities for career growth. With offices around the globe, people of varied talents and backgrounds, and a wide range of exciting projects, the possibilities at Parsons are endless. For more about Parsons, visit www.parsons.com. Mission: Delivering innovative infrastructure, defense, and security solutions to enable a more sustainable, safer, smarter, and more connected world.
