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Online Applied Engineer Jobs in Burr Ridge, IL (NOW HIRING)

Salesforce, Inc.

Lead AI Engineer, Data Solutions

Chicago, IL · On-site +1

$118K - $141K/yr

... applied AI role with strong data and systems ownership. You will build models and agents and the ... Build offline and online evaluation frameworks * Develop evaluation datasets, golden traces, and ...

ThyssenKrupp

Director

Bolingbrook, IL · On-site

$151K - $165K/yr

Req's : Master degree in Industrial Engineering, Mechanical Engineering, or a closely related ... who have applied to or wish to apply to TK, whether online or otherwise as a pre-employment ...

Swap.com

Developer, Frontend

Bolingbrook, IL · On-site

$102K - $119K/yr

Swap.com was founded in 2012 as an online consignment store. The company now operates with over a ... they can be applied to our solutions. What we really need: • Experience with JavaScript ...

Arrive Logistics

Data Scientist II

Chicago, IL · On-site +1

$130K - $150K/yr

This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based ... Partner with engineers to support deployment, integration, and monitoring of ML and AI systems in ...

Arrive Logistics

Data Scientist II

Chicago, IL · On-site

This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based ... Partner with engineers to support deployment, integration, and monitoring of ML and AI systems in ...

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Showing results 21-40

All JobsOnline Applied Engineer JobsOnline Applied Engineer Jobs in Burr Ridge, IL

Online Applied Engineer information

See Burr Ridge, IL salary details

$9

$46

$86

How much do online applied engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for online applied engineer in Burr Ridge, IL is $46.46, according to ZipRecruiter salary data. Most workers in this role earn between $35.34 and $60.00 per hour, depending on experience, location, and employer.
What cities near Burr Ridge, IL are hiring for Online Applied Engineer jobs? Cities near Burr Ridge, IL with the most Online Applied Engineer job openings:
Online Applied Engineer jobs near you
Infographic showing various Online Applied Engineer job openings in Burr Ridge, IL as of August 2026, with employment types broken down into 67% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $96,638 per year, or $46.5 per hour.

Principal Software Engineer (Remote)

Inspira Financial

Oak Brook, IL • On-site, Remote

$136K - $182K/yr

Full-time

Re-posted 27 days ago

Inspira Financial rating

7.6

Company rating: 7.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

The Principal AI Engineer is a senior individual contributor responsible for translating enterprise AI strategy into scalable, secure, and production-ready solutions. This role serves as the connective tissue between strategy and execution-owning solution architecture, technical standards, and delivery of AI-enabled products across the organization.
Working side by side with Product, Design, Engineering, Security, and Platform teams, you deliver AI-driven solutions that delight customers and accelerate time to value-while balancing feasibility, scalability, cost, and compliance. You set architectural direction and remain deeply hands-on, ensuring the organization applies AI responsibly and effectively to real business problems.
You guide how and when to apply AI capabilities-copilots, agents, and vendor integrations-while enforcing architectural guardrails and elevating engineering maturity. You translate vision into architecture, patterns, and working software that delivers measurable outcomes. You are equally comfortable influencing executives and diving into code to unblock delivery.
Our engineering team is built on the principles of humans over code. We are a tight-knit group of lifelong learners in a constant quest to be a team that is greater than the sum of its parts. Come join us!
Key Responsibilities
  • Set the technical vision for how the organization builds with AI-architecting agents, agentic systems, and GenAI-powered products that redefine what our platform and customers can do.
  • Own end-to-end solution architecture for AI and AI-enabled products (discovery to design to deployment), ensuring security, reliability, cost efficiency, and maintainability across cloud and on-prem environments.
  • Drive experimentation and rapid prototyping at the frontier of applied AI-multi-agent orchestration, emerging model capabilities, and novel tooling-then convert the most promising experiments into production-grade systems.
  • Identify, evaluate, and scale high-impact AI use cases (e.g., MCP, agentic workflows, retrieval and reasoning systems) that unlock new product capabilities and multiply engineering productivity.
  • Serve as a hands-on architecture authority for GenAI and applied AI solutions, designing systems and ensuring alignment with enterprise standards set by the AI Center of Excellence.
  • Establish and evolve reference architectures and reusable patterns for GenAI and applied AI (RAG, agents/orchestration, vector search, prompt & tool design, event-driven microservices, API gateways).
  • Select fit-for-purpose models and services (e.g., Azure OpenAI, Bedrock, Vertex, OSS LLMs, embedding models), articulating clear tradeoffs across performance, latency, privacy, and cost.
  • Partner with product and platform teams to ship production-grade solutions, driving work from prototype → pilot → scaled production.
  • Define and implement best practices for CI/CD, Infrastructure as Code, and MLOps/LLMOps, including model versioning, prompt/config management, evaluation frameworks, drift detection, and safety monitoring.
  • Ensure observability and operational readiness (tracing, guardrails, red-teaming, cost dashboards, SLOs, runbooks) before production cutover.
  • Set the technical bar through design reviews, threat modeling, critical pull request reviews, coding standards, and documentation discipline.
  • Evangelize effective use of copilots, agent frameworks, and integration SDKs to improve developer velocity without compromising quality or security.
  • Lead architecture discovery with business stakeholders: frame problems, quantify constraints, and translate business goals into technical roadmaps.
  • Define and track outcome-based KPIs (time to first value, cost to serve, task success, accuracy, CSAT/NPS, deflection).
  • Communicate architectural tradeoffs, risks, and roadmaps in clear, executive-ready language.
  • Publish and maintain architecture decision records (ADRs) and platform documentation to ensure transparency and alignment.

Education & Experience
  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or equivalent practical experience.
  • 10+ years in software engineering, solution architecture, or platform engineering, including 3-5+ years delivering applied ML/GenAI solutions in production.
  • Demonstrated experience leading architecture across multiple teams or products, not just contributing as an individual architect.
  • Extensive hands-on experience with cloud platforms (GCP preferred), including:
  • Vertex AI, BigQuery, Dataflow, Pub/Sub
  • Cloud-native microservices, APIs, event streaming
  • Containers and orchestration (Kubernetes/GKE)
  • Infrastructure as Code (Terraform)
  • Deep practical expertise with GenAI patterns: RAG, vector databases, prompt engineering & evaluation, agent design, function/tool calling, and orchestration.
  • Strong command of MLOps/LLMOps, including CI/CD for models and prompts, offline/online evaluation, telemetry, drift detection, and safety monitoring.

Skills & Abilities
  • Experience operating in regulated industries (financial services, healthcare, public sector) or similarly high-trust environments.
  • Strong background in security, privacy, and compliance-by-design, including OAuth/OIDC, secrets management, data protection, and AI safety controls.
  • Proven ability to influence without authority, aligning product, engineering, security, and business stakeholders.
  • Exceptional written and verbal communication skills, with demonstrated executive presence.
  • Certifications (nice to have): Cloud Architect, Security (e.g., CISSP/CCSK), or equivalent.

Other Requirements:
  • Ability to work occasional overtime.
  • Occasional travel (up to ~15%).
  • Occasional after-hours work to support releases or incident responses.
  • Prolonged periods of sitting at a desk and working on a computer.

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