What are the responsibilities and job description for the Applied AI Engineer position at Swinerton?
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
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
$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.
- 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.
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
Salary : $120,000 - $170,000