Swinerton

Applied AI Engineer

Swinerton$120K — $170K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
  • 3+ years of experience in software engineering, AI engineering, or machine learning engineering.
  • Hands-on experience building and deploying AI applications or intelligent workflows in an enterprise setting.
  • Familiarity with AI frameworks and tools for LLMs, orchestration, and multi-agent workflows.
  • Experience with enterprise cloud platforms like Microsoft Foundry or Databricks is preferred.
  • Strong programming skills including CI/CD and deployment automation processes.
  • Effective problem-solving and communication skills.

Responsibilities

  • Build and deploy AI-powered solutions to enhance business processes.
  • Design practical AI workflows incorporating advanced technologies.
  • Integrate AI capabilities into existing enterprise systems for real-world use.
  • Test and optimize deployed AI solutions for performance and reliability.
  • Collaborate with stakeholders to clarify requirements and develop solutions.
  • Contribute to engineering practices that promote scalable AI solutions.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan with company matching.
  • Employee Stock Ownership Program (ESOP) allowing individual stock ownership.
  • Paid vacation, sick leave, and holidays.
  • Employee assistance program for personal support.
  • Educational assistance for professional development.
  • Access to fitness and wellness programs, including ClassPass membership.
Full Job Description
Compensation Range:
$120,000.00 - $170,000.00 Annual Salary

Job Description Summary:
We are seeking an Applied AI Engineer to build and deliver practical AI solutions that drive automation, productivity, and business value. This role is focused on turning business needs into working solutions - from intelligent workflows and copilots to agent-based tools and AI-enabled applications. The ideal candidate is both technically strong and highly hands-on, with the ability to design, prototype, build, and deploy scalable solutions that solve real business problems.

Job Description:

Key Responsibilities
  • Build and deploy AI-powered automations and agent-based solutions that improve business processes and productivity.
  • Design and implement practical AI workflows using LLMs, retrieval, tool/function calling, orchestration, multi-agent patterns, integrations, and related technologies.
  • Integrate AI capabilities into enterprise systems, applications, and business processes to support real-world adoption and measurable value.
  • Test, monitor, troubleshoot, and continuously improve deployed AI solutions for reliability, usability, and performance.
  • Collaborate with business and technical stakeholders to refine requirements and translate them into working solutions.
  • Contribute reusable patterns, engineering practices, and responsible AI approaches that support scalable solution delivery.


Skills, Experience, and Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in software engineering, AI engineering, machine learning engineering, or similar hands-on technical roles.
  • Hands-on experience building and deploying AI-enabled applications, automations, or intelligent workflows in an enterprise environment, including delivery within defined solution direction and architectural guardrails.
  • Experience with AI frameworks, APIs, and tools for LLMs, retrieval, tool/function calling, orchestration, or multi-agent workflows.
  • Familiarity with frameworks and protocols such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, MCP, or similar tools is preferred.
  • Experience with enterprise cloud and AI development platforms such as Microsoft Foundry, Databricks, or similar enterprise ecosystems is preferred.
  • Strong programming and engineering skills, including CI/CD, deployment automation, monitoring, and operational support practices for AI or software solutions.
  • Strong problem-solving, communication, and stakeholder collaboration skills.
  • Construction industry experience is preferred but not required.


Summary of Benefits:

This role is eligible for the following benefits: medical, dental, vision, 401(k) with company matching, Employee Stock Ownership Program (ESOP), individual stock ownership, paid vacation, paid sick leave, paid holidays, bereavement leave, employee assistance program, pre-tax flexible spending accounts, basic term life insurance and AD&D, business travel accident insurance, short and long term disability, financial wellness coaching, educational assistance, Care.com membership, ClassPass fitness membership, and DashPass delivery membership. Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options.

Anticipated Job Application Deadline:
07/31/2026

About Swinerton

Swinerton is a commercial construction company that provides a wide range of services, including preconstruction, general contracting, and design-build. They work with clients across various industries, including healthcare, education, and hospitality. They are committed to delivering high-quality projects on time and within budget. They have a strong focus on sustainability and have completed numerous LEED-certified projects. They are also committed to safety and have received numerous safety awards. They have a strong reputation in the industry and have been in business for over 130 years.
Learn more about Swinerton
Size
4,000 employees
Industry
Founded
1888

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