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Intelligent Systems Jobs (NOW HIRING)

WSP

Intelligent Transportation Systems (ITS) Lead

Chicago, IL · On-site +1

$129.60K - $220.30K/yr

This Opportunity WSP is initiating a search for an Intelligent Transportation Systems (ITS) Lead for our Illinois practice. The position will be based out of our Chicago office. We are looking for ...

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$36.5K

$89.8K

$140K

How much do intelligent systems jobs pay per year?

As of May 30, 2026, the average yearly pay for intelligent systems in the United States is $89,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $112,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intelligent Systems Engineer, and why are they important?

To thrive as an Intelligent Systems Engineer, you need a solid background in computer science or engineering, proficiency in machine learning algorithms, and strong analytical skills, usually backed by a relevant degree. Familiarity with programming languages like Python or C++, knowledge of AI frameworks (such as TensorFlow or PyTorch), and experience with embedded systems or robotics platforms are typically required. Creative problem-solving, adaptability, and effective communication help professionals excel in interdisciplinary teams and innovative environments. These skills are essential for designing, implementing, and optimizing intelligent systems that solve complex real-world problems.

What are some common challenges faced by professionals working in Intelligent Systems roles, and how can they be addressed?

Professionals in Intelligent Systems often encounter challenges such as integrating AI solutions with legacy systems, ensuring data quality for machine learning models, and keeping up with rapid advancements in technology. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is key to overcoming these hurdles. Staying proactive through continuous learning and participating in industry forums or trainings also helps professionals remain effective and innovative in this evolving field.

What are intelligent systems?

Intelligent systems are advanced computer-based systems that can perceive, reason, learn, and act autonomously or semi-autonomously in complex environments. These systems often use artificial intelligence (AI), machine learning, and data analytics to solve problems, make decisions, and adapt to new information. Examples include self-driving cars, smart home devices, robotics, and speech recognition systems. Intelligent systems are widely used in industries such as healthcare, manufacturing, transportation, and finance to enhance efficiency and innovation.

What is the difference between Intelligent Systems vs Data Analysts?

AspectIntelligent SystemsData Analysts
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fieldsBachelor's or higher in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, research labs, AI development firmsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed in AI, automation, robotics, and software developmentUsed in data interpretation, reporting, and decision-making

Intelligent Systems focus on designing and developing AI-driven solutions, while Data Analysts interpret data to support business decisions. Both roles require analytical skills but differ in technical complexity and application areas.

More about Intelligent Systems jobs
What states have the most Intelligent Systems jobs? States with the most job openings for Intelligent Systems jobs include:
What job categories do people searching Intelligent Systems jobs look for? The top searched job categories for Intelligent Systems jobs are:
Intelligent Systems jobs near you
Infographic showing various Intelligent Systems job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 100% Physical job distribution, with an average salary of $89,782 per year, or $43.2 per hour.
Intelligent Systems Solutions Engineer- Liberty Mutual Investments Technology

Intelligent Systems Solutions Engineer- Liberty Mutual Investments Technology

Liberty Mutual

New York, NY • Hybrid

Full-time

Posted 20 days ago

Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 139 frontline employees who took The Breakroom Quiz

46th of 259 rated insurance

Job description

Description
Liberty Mutual Investments manages Liberty Mutual Insurance Group's global financial assets across public and private domains, to create capital and generate income. With over $100 billion in AUM and staffed with 300+ investment, finance and operations professionals located in Boston, MA., Liberty Mutual Investments offers the best of both worlds; the look and feel of a boutique investment firm, and the reputation and financial strength of a Fortune 100 company.
Liberty Mutual Investments Technology (LMI Tech) is actively searching for a Solutions Engineer to work across our organization to design and shape our overall Generative AI strategy. Join a green-field initiative to embed Generative AI across our Investments organization. You'll be the technical quarterback tracking the fast-moving Gen AI ecosystem, translating capabilities into high-value investment use cases, and leading an engineering pod from whiteboard to production.
Note: This role has a required hybrid work arrangement (3x per week in Boston or NYC).
About the role:
Key responsibilities
  • 40% Solution & architecture design: Map LLM/Gen AI capabilities to business needs; craft secure, scalable solution designs and guide the team through reviews and delivery
  • 40% Hands-on engineering: Rapidly prototype and code Gen AI proofs-of-concept; contribute production-quality Python (and occasional React) services running on AWS
  • 20% Stakeholder & product collaboration: Partner with the Product Owner and Investments stakeholders to refine requirements, set technical direction, and evangelize Gen AI opportunities. Liaise with Compliance, Privacy, and central GenAI teams.
Additional duties
  • Continuously scan the Gen AI landscape: model releases, orchestration frameworks, prompt-engineering trends?and assess fit for our roadmap
  • Establish engineering standards for code quality, observability, cost-efficient LLM usage, and secure development
  • Mentor MLOps engineers and full-stack developers; foster a dynamic, collaborative culture that earns trust across technical and business teams
Highly qualified applicants will have:
  • Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others
  • Advanced Python skills; experience building services that integrate with LLM APIs (OpenAI preferred).
  • Solid understanding of AWS primitives (Lambda/ECS/Fargate, S3, IAM, networking) and secure-by-design principles.
  • Comfort with MLOps concepts (model lifecycle, evaluation, monitoring) and CI/CD automation.
  • Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style.
  • Nice-to-haves: knowledge of MCP server patterns, React, LangChain or similar orchestration tools, Investments domain exposure
Why join us
  • Mission impact: Shape the Gen AI strategy for a highly regulated, high-stakes Investments environment where innovation drives real portfolio value.
  • Green-field canvas: Build new capabilities from scratch with executive sponsorship and strong R&D investment.
  • Growth & visibility: Own both the architecture vision and the code, interfacing with senior leadership while mentoring a hand-picked team.
  • People-centric culture: Collaborative, inclusive, and outcome-focused backed by competitive benefits and work-life balance
If you're passionate about turning cutting-edge Gen AI into tangible investment insights, and enjoy both coding and architectural leadership, let's talk. Submit your resume that highlights your experience with Gen AI solutions you've designed or built.
Qualifications
  • Advanced knowledge of agile development methodologies as typically acquired through a Bachelor`s or Master`s degree in technical or business discipline or equivalent experience
  • At least 10 years of related experience
  • Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others
  • Advanced Python skills; experience building services that integrate with LLM APIs (OpenAI preferred).
  • Solid understanding of AWS primitives (Lambda/ECS/Fargate, S3, IAM, networking) and secure-by-design principles.
  • Comfort with MLOps concepts (model lifecycle, evaluation, monitoring) and CI/CD automation.
  • Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style.
  • Nice-to-haves: knowledge of MCP server patterns, React, LangChain or similar orchestration tools, Investments domain exposure; prompt engineering
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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