Applied AI Lead, Kiewit Infrastructure Engineers
About The Position
We are seeking an Applied AI Lead with a strong data and software architect and engineering background to drive efficiency, reduce risk, and optimize costs. This role is critical to building and maintaining scalable data pipelines and infrastructure that support AI and machine learning workflows and systems. Position is based out of Lone Tree CO location.Kiewit Infrastructure Engineering seamlessly transitions solutions from design to construction through the collaborative efforts of Design Engineering, Design Management, Proposals, Estimating, and Integrated Project Controls. Our construction-focused engineering approach involves a multidisciplinary team working together to maximize value for clients by improving schedules, controlling costs, and minimizing risk on infrastructure projects. This integrated strategy emphasizes collaboration and constructability throughout the project lifecycle, enabling us identify and implement quality solutions with a strong safety focus. Clients benefit from Kiewit's proven processes and tools, which minimize project risk. As an in-house resource, we support projects across the company, in all major markets, sharing to experiences, innovative concepts, and best practices. Kiewit's management and implementation of this process result in safe, cost-effective, and innovative designs that exceed client expectations and uphold Kiewit's legacy of excellence. At Kiewit, we believe in building more than just structures - we build relationships, strengthen communities, and expand workforce capacity. We don't just build projects; we build careers. With top-notch health benefits, a wealth-building 401k plan (RRSP), and unbeatable growth opportunities, we are deeply invested in the future of our employees. Join us at Kiewit, where we go beyond construction to develop the ultimate road to success.
Requirements
- Ph.D. in Algorithms, Combinatorics, and Optimization with research focused and applications.
- Bachelor's degree in engineering or computer science
- Proven track record of experience in systems and software development, supporting innovation in North American technology and engineering sectors.
- Experience in working on complex projects and/or projects relating to AI, data and machine learning with multiple disciplines.
- Strong proficiency in Python and experience with data pipeline development.
- Must be proficient with AI, Machine Learning, ML workflows and tools.
- Strong analytical, problem-solving, and communication skills (oral and written)
- Proven ability to self-direct work efforts and lead others
- Highly motivated, with a demonstrated passion for excellence and taking initiative
- Team player with the ability to work independently to meet deadlines, goals and objectives
- Regular, reliable attendance
- Work productively and meet deadlines timely
- Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
- Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
- Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
Responsibilities
- Data Pipeline Development: Maintain and enhance scalable Python-based data pipelines to process, synchronize, and structure robotic perception data for ML workflows.
- Database & Cloud Storage Management: Manage PostgreSQL AWS RDS instances and AWS S3 buckets to track and store raw and processed multimodal data.
- Tooling & Automation: Build custom Python tools for data extraction and transformation to support internal and downstream ML users. Automate pipeline execution via scheduled batch jobs, transitioning from manual processes to nightly workflows.
- Web Application Development: Contribute to a full-stack internal web application (FastAPI backend, React/Next.js TypeScript frontend) for data visualization, search, and cloud job triggering.
- Infrastructure-as-Code & DevOps: Manage AWS infrastructure (EKS, ECR, S3, RDS) using Terraform, integrated with GitLab CI/CD for reproducible deployments.
- Design workflows and tools to interface with external data annotation vendors, including REST API uploads and quality checks.
- Testing & Reliability: Implement unit testing frameworks using Python to ensure reliability and maintainability of internal tools.
- Agile Collaboration: Actively participate in Agile ceremonies including sprint planning, daily stand-ups, and sprint reviews.
Benefits
- top-tier medical, dental and vision plans covering eligible employees and dependents
- voluntary wellness and employee assistance programs
- life insurance
- disability
- retirement plans with matching
- generous paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
