1

Field Integrator Jobs in Fort Mill, SC (NOW HIRING)

You may also participate in field-based project hackathons, embedding with teams to identify high ... Integrate LLM APIs such as Anthropic Claude and OpenAI into production systems * Design context ...

Integrations Engineer

Charlotte, NC · On-site

$65 - $70/hr

Job Summary Own and manage integrations across ERP, field service, payment, and eStore systems, ensuring reliable intersystem connectivity Build and modernize REST and event-driven APIs and ...

Charlotte, NC, United States Job ID: 17524 The Field Reimbursement Manager (FRM) will operate as ... Syneos Health ® is a leading fully integrated biopharmaceutical solutions organization builtto ...

Be Seen First

Distribution Field Technician, Carolinas

Charlotte, NC · On-site

$19.25 - $26.25/hr

Collect and analyze field data and prepare accurate and detailed reports and records. * Learn ... Integrated Volt-Var Control System Maintenance DOT Road Conflicts Outdoor Lighting Customer ...

Land Surveying Field Technician

Charlotte, NC · On-site

$18.50 - $25.25/hr

The Land Surveying Field Technician is an entry level position that will focus on the fundamentals ... integrated venture. In our world, that's a good thing. With the goal of being the best design firm ...

Join KEYENCE as a Field Application Engineer Training Classes Begins January or July 2027 Irvine ... Engineer, or Integration Support Engineer depending on the product line you may be hired for.

We are looking for an Audio Video Field Specialist for our Charlotte branch, whose attitude, skills ... At least 4 years of experience with commercial integration audio-visual installations ...

We are looking for an Audio Video Field Specialist for our Charlotte branch, whose attitude, skills ... At least 4 years of experience with commercial integration audio-visual installations ...

Field Supervisor

Charlotte, NC · On-site

$21 - $22/hr

The Field Supervisor is responsible for overseeing the cleaning and maintenance operations within ... ABM) is one of the world's largest providers of integrated facility, engineering, and ...

Field Supervisor

Charlotte, NC · On-site

$21 - $22/hr

The Field Supervisor is responsible for overseeing the cleaning and maintenance operations within ... ABM) is one of the world's largest providers of integrated facility, engineering, and ...

POSITION SUMMARY A Field Technician is responsible for assisting in start-up commissioning, integration, emergency service and troubleshooting of Vertiv 480VAC electrical bus duct systems including ...

Showing results 21-40

Field Integrator information

See Fort Mill, SC salary details

$13

$22

$34

How much do field integrator jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for field integrator in Fort Mill, SC is $22.13, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.77 per hour, depending on experience, location, and employer.

What is a field integrator?

Field Integrators are professionals who install, configure, and optimize complex systems or equipment at client sites, ensuring that all components work together seamlessly. They often work with technologies such as telecommunications, industrial automation, or IT infrastructure, bridging the gap between hardware, software, and operational requirements. Their role includes troubleshooting, testing, and training end-users to ensure the successful deployment and integration of solutions in the field.

What are the key skills and qualifications needed to thrive as a field integrator?

To thrive as a Field Integrator, you need a strong background in systems integration, electronics, and troubleshooting, often supported by a relevant technical degree or certification. Familiarity with programmable logic controllers (PLCs), networking tools, and specific industry software is typically required. Excellent problem-solving, communication, and adaptability are crucial soft skills for working on-site with clients and diverse teams. These skills and qualifications are essential to ensure seamless system deployments and effective resolution of technical challenges in dynamic field environments.

What are some common challenges faced by field integrators when coordinating with on-site teams?

Field Integrators often encounter challenges such as aligning technical requirements across multiple contractors, adapting to rapidly changing site conditions, and ensuring all parties follow standardized procedures. Effective communication and problem-solving skills are key, as integrators must bridge the gap between engineering teams, project managers, and on-site personnel. Proactively addressing logistical issues and maintaining flexibility helps ensure successful system integration and project timelines.

What job categories do people searching Field Integrator jobs in Fort Mill, SC look for?

The top searched job categories for Field Integrator jobs in Fort Mill, SC are:

What cities near Fort Mill, SC are hiring for Field Integrator jobs?

Cities near Fort Mill, SC with the most Field Integrator job openings:

Infographic showing various Field Integrator job openings in Fort Mill, SC as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,035 per year, or $22.1 per hour.

Applied AI Field Engineer

Trilon

Charlotte, NC • On-site

Full-time

Re-posted 2 days ago


Job description

Trilon is building a supercharged, technology-enabled future for our people and partners. The Applied AI Engineer plays a critical role in that mission by building the AI-powered features that enable our tools to compress real engineering labor across our operating companies. 
This role sits at the intersection of software engineering and applied AI, focused on designing and implementing the intelligence layer of our products. You translate product requirements and architectural patterns into working AI capabilities by building prompt frameworks, retrieval-augmented generation pipelines, and agent-based workflows that operate against real engineering data and deliverables. 
Working within a product pod, you partner closely with the Lead Engineer, Software Engineer, and QA Engineer to deliver production-ready solutions. You own how the system reasons, including prompt design, context management, model integration, and orchestration logic. You also help define how quality is measured for AI outputs, ensuring tools are accurate, reliable, and usable in real-world workflows. 
You will engage directly with engineers across our operating companies to understand workflows, validate solutions, and iterate quickly based on feedback. You may also participate in field-based project hackathons, embedding with teams to identify high-impact opportunities and rapidly prototype solutions that inform platform development. 
This role requires strong software engineering fundamentals, deep hands-on experience with modern AI tooling, and the ability to operate in a fast-moving environment where both the technology and the product are evolving. You are comfortable with ambiguity, rigorous about output quality, and focused on delivering AI that engineers trust and use. 
AI Application Development
  • Design and build AI-powered features using large language models and related tooling 
  • Develop and maintain prompt architectures that drive consistent, high-quality outputs 
  • Implement retrieval-augmented generation pipelines using enterprise data sources 
  • Build and orchestrate agent-based workflows to automate targeted tasks 
Model Integration and System Behavior 
  • Integrate LLM APIs such as Anthropic Claude and OpenAI into production systems 
  • Design context management strategies to ensure outputs are grounded, relevant, and accurate 
  • Manage tradeoffs across latency, cost, and performance in AI workflows 
  • Continuously improve system behavior through prompt iteration and architecture refinement
Pod Collaboration and Delivery 
  • Partner with Software Engineers to integrate AI capabilities into applications, APIs, and user interfaces 
  • Align with the Lead Engineer on technical direction, architecture, and implementation decisions 
  • Work with QA Engineers to define evaluation criteria, testing strategies, and quality thresholds for AI outputs 
  • Translate product requirements into scalable, production-ready AI solutions 
Evaluation and Quality Optimization 
  • Define and implement approaches for evaluating non-deterministic AI outputs 
  • Build test cases, benchmarks, and evaluation pipelines to track output quality over time 
  • Identify failure modes and iterate on prompts, pipelines, and orchestration logic 
  • Ensure consistency and reliability as models, prompts, and data sources evolve 
Continuous Improvement and Innovation 
  • Stay current with advancements in LLMs, vector databases, and agent frameworks 
  • Experiment with new tools and techniques to improve speed, quality, and capability 
  • Contribute reusable patterns, components, and best practices across pods 

  • 4+ years of experience in software engineering, applied AI, or machine learning development 
  • Strong programming skills in Python and/or JavaScript 
  • Hands-on experience working with LLM APIs such as Anthropic Claude, OpenAI, or similar 
  • Experience designing and implementing prompt architectures and prompt engineering techniques 
  • Experience building retrieval-augmented generation pipelines and working with vector databases 
  • Familiarity with agent orchestration frameworks and multi-step AI workflows 
  • Experience integrating AI capabilities into applications via APIs and backend systems 
  • Strong understanding of handling structured and unstructured data in AI systems 
  • Ability to evaluate, debug, and improve non-deterministic AI outputs 
  • Experience working in a fast-paced, product-oriented development environment 
  • Strong problem-solving skills and ability to operate in ambiguous, evolving contexts 
  • Ability to collaborate closely with engineers, product managers, and QA within a pod structure 
  • Excellent communication skills and ability to explain technical concepts clearly 
  • Curiosity and willingness to learn domain-specific workflows, particularly within engineering and AEC contexts