Engineering Jobs in Summit Illinois Online

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location: Chicago, IL

It is a Hybrid role in Chicago, IL

Job Description

Role Overview

The Guidewire Senior Business Analyst / Functional Lead is responsible for leading requirements, functional design, and end‐to‐end solutioning across Guidewire applications (PolicyCenter, BillingCenter, ClaimCenter). This role works closely with business stakeholders, architects, technical teams, and QA to ensure successful delivery of Guidewire implementations and enhancements.

The Senior BA/Functional Lead provides domain expertise, drives requirement clarity, ensures alignment across teams, and often leads small functional pods within Guidewire programs.

Key Responsibilities

Business Requirements & Functional Analysis

Lead requirement‐gathering sessions with business users, SMEs, product owners, and underwriting/claims/billing teams.

Translate business needs into clear functional requirements, user stories, acceptance criteria, and workflows.

Analyze current‐state and future‐state processes; identify gaps and recommend optimal solutions.

Create functional specifications, process maps, BRDs/FRDs, and configuration requirements for Guidewire modules.

Guidewire Functional Leadership

Serve as the functional expert for PolicyCenter, BillingCenter, or ClaimCenter based on project needs.

Guide configuration teams on field changes, business rules, rating logic, questionnaires, underwriting rules, billing plans, claims transactions, and workflows.

Validate that designs align with Guidewire out‐of‐the‐box capabilities and recommend appropriate extensions when needed.

Support design discussions with technical architects, integration teams, and data teams.

Required Skills & Experience

12+ years of experience as a Business Analyst, with at least 3-5 years in Guidewire implementations.

Strong functional expertise in one or more Guidewire products:

PolicyCenter (UW, Rating, Product Model, Policy Transactions)

BillingCenter (Billing Plans, Payments, Invoicing, Delinquency)

ClaimCenter (FNOL, coverage validation, reserves, payments, recovery)

Strong understanding of P&C insurance domain (underwriting, policy, billing, claims).

Experience writing user stories, functional specs, and acceptance criteria in Agile environments.

Ability to lead functional teams and collaborate closely with architects, developers, and QA.

Strong proficiency in tools like Jira, Confluence, Visio, Excel, and Agile management tools.

Preferred Qualifications

Guidewire Business Analyst or Specialist certifications.

Experience with Guidewire Cloud or cloud transformation programs.

Knowledge of SQL, data analysis, and API/integration patterns.

Experience with rating engines, product configuration, or third‐party integrations.\"

The base compensation range for this role in the posted location is: 140,000 to 150,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

Life and disability insurance

Employee assistance programs

Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Are you looking to work on cutting-edge science with real-world impact? This is a unique opportunity to join an innovative, fast-growing startup developing sustainable protein and next-generation biomaterials. You'll work alongside passionate, forward-thinking leaders in a collaborative, high-energy environment—while gaining hands-on experience with advanced molecular biology and strain engineering techniques.

If you're excited by breakthrough science, sustainability, and the chance to make a tangible impact early in your career, this role is for you.

What You'll Do

• Design and execute molecular biology experiments to engineer fungal strains (gene knockouts, knock-ins, overexpression, gene editing)
• Perform RNA-based workflows including extraction, library prep, sequencing, and data analysis
• Conduct RT-PCR and qPCR for gene expression analysis
• Construct and validate plasmids for gene expression and transformation
• Lead fungal transformation efforts and optimize strain performance
• Characterize engineered strains (growth, metabolic output, stress tolerance, etc.)
• Support small-scale fermentation experiments and high-throughput screening
• Analyze experimental data using statistical and bioinformatics tools
• Maintain detailed documentation and present findings to internal teams

What We're Looking For

Required:

• Bachelor's degree in Microbiology, Molecular Biology, Biotechnology, Biochemistry, or related field
• 2+ years of hands-on lab experience in molecular biology (academic or industry)
• Strong experience with:
• RNA sequencing workflows (extraction, library prep, analysis, visualization)
• RT-PCR and qPCR techniques
• Designing and executing genetic modification experiments
• Proven ability to document experiments and communicate results clearly

Preferred:

• Master's degree in a related scientific field
• Experience working with yeast or fungal systems

Why This Role Stands Out

• Work on groundbreaking applications in sustainable protein and biomaterials
• Be part of a startup environment—fast-paced, collaborative, and full of opportunity to learn
• Gain exposure to advanced molecular techniques and real product development
• Work with engaging, supportive leadership who are invested in your growth
• Contribute to innovative projects shaping industries from food to fashion

Details

• Schedule: Flexible (8:00–4:30 or 9:00–5:30)
• Compensation: $27–$30/hour
• Duration: 6-month contract with potential for extension

Overview:

We are seeking a driven, results-oriented sales professional to generate new business and expand OEM and Tier automotive accounts. This role is ideal for a true “hunter” who thrives on building pipeline, winning new opportunities, and growing customer relationships in a competitive environment.

You will work cross-functionally with purchasing, quality, and customer service teams to deliver solutions aligned with customer requirements and company objectives. This role owns the full sales cycle—from prospecting through closing—and plays a key role in driving revenue growth.

Key Responsibilities:

New Business Development

• Proactively identify and develop new business opportunities through outbound sales efforts
• Maintain a strong “hunter” mindset focused on prospecting and expanding the customer base
• Manage the full sales cycle: prospecting, quoting, negotiation, and closing
• Grow assigned accounts while actively pursuing new opportunities beyond existing business

Customer Engagement

• Collaborate with customer purchasing, engineering, and quality teams to define requirements and develop solutions
• Conduct customer meetings, presentations, and plant visits to identify and support new projects

Pipeline & Sales Management

• Maintain an organized and active sales pipeline to track opportunities and forecast activity
• Meet or exceed assigned sales targets and contribute to overall revenue goals
• Document all activity and opportunities within the CRM system

Qualifications:

• 3+ years of B2B sales experience (automotive or OEM preferred)
• Experience selling fasteners and/or C-class components strongly preferred
• Proven track record of meeting or exceeding sales targets
• Strong communication, presentation, and relationship-building skills
• Self-motivated with the ability to work independently

Requirements:

• Bachelor’s degree in Business, Marketing, or related field (or equivalent experience)
• Ability to travel up to 30% (including air travel)
• Ability to lift up to 35 lbs occasionally
• Ability to stand/walk for extended periods during customer visits

Benefits:

In addition to the compensation package, company benefits include:

• Affordable Medical, Dental, and Vision Insurance

• 401(k) Retirement Plan with Company Match

• Paid Time Off

• Travel/Business Expense Reimbursement

• Short Term Disability

Why Join Us?

This is an opportunity to take ownership of a growing territory, directly impact revenue, and be rewarded for new business success. If you are a competitive, self-driven sales professional who enjoys building and winning, we encourage you to apply.

John Burns Construction is seeking an experienced Senior Estimator to assist the Estimating Department in evaluating and pricing current bid opportunities. This person will report to the Director of Estimating and will have the potential to manage a staff of Estimators and Estimate Coordinators in the future.

We’re looking for your to do the following:

1. Perform detailed evaluation of drawings and specifications to determine the scope of work for subcontractors, vendors, and self-perform activities
2. Manage bid invitations by soliciting subcontractor bids and vendor quotes
3. Prepare subcontractor scopes and complete scope comparisons
4. Generate estimates by quantity takeoff and pricing of work
5. Write contracts and purchase orders
6. Maintain professional working relationships with subcontractors and vendors
7. Generate new bidding opportunities.

You have:

1. Bachelor’s Degree in Engineering, Construction Management or related field of study
2. 7+ years of estimating or construction management experience
3. Background in takeoff and pricing of self-performed work including General Contracting: earthwork, excavation, site utilities, site, and structural concrete, and carpentry. Outside Electrical: street lighting, traffic signals, intelligent transportation systems, underground conduit systems, fiber optics
4. Experience in both Unit Price and Lump Sum bidding
5. HCSS HeavyBid Estimating Software
6. Computer skills including Microsoft Office
7. Strong communication skills, both verbal and written
8. Ability to manage multiple concurrent bids and meet deadlines
9. Ability to assess risk
10. Teamwork orientated
11. Strong organizational skills

We Have:

1. A team-based culture that rewards collaboration, problem solving and process improvement
2. A commitment to your professional development
3. Varied career path opportunities across the different disciplines in the company
4. A new, robust enterprise resource planning software solution
5. Great benefits, including medical, dental, vision, 401K with company contribution, profit sharing, long-term disability
6. Team outings, and an opportunity to get involved and make a difference with various charities in the community

Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with our customers, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions. There's much to learn and many to learn from, with more than 16,000 employees around the world to explore ideas and ambitions with.

In the USA, we develop, market and produce a wide array of solutions from our 25 most innovative sites, based across the country. Stretch your skills, create and get inspiration from passionate colleagues. Every day, your energy, your thirst for knowledge, and your creativity will shape our future, making a positive difference on billions of people. Every essence of you enriches our world. We are Givaudan. Human by nature.

Join us as our next Production Supervisor reporting to our Production Manager. You will provide support by controling and coordinating the production operations within specific area or section of a plant to ensure that intermediate or finished flavor products are delivered according to established production specifications, schedules and quality standards.

Location:Bedford Park, IL

This is a second shift position

Salary expectation based on technical experience: 95,287.00 - 106,463.00 usd

In this exciting role you will do:

Production Management

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  Prepare the assigned production area to meet the production schedules and targets.

  
  
  
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  Control inventory to ensure the availability of materials required for the operation.

  
  
  
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  Monitor the volume and quality of output and adjust tasks, timing, equipment set-up, so that productionspecifications are met and resources are used efficiently.

  
  
  
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  Protect plant assets and the implementation of internal control regulations.

  
  
  
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  Prepare production reports so that performance problems can be identified and resolved.

  
  
  

Production Processes

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  Define manufacturing processes for a specific area following safety, EHS standards andefficiency/productivity requirements.

  
  
  
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  Propose ideas for the continuous improvement program in the area.

  
  
  
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  Take care on necessary capacity improvements to fulfill the demand evolution and prevent new assetinvestments.

  
  
  
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  Owner of Lean program roll out and team meetings.

  
  
  

People Management

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  Manage staff to ensure that all production tasks are performed, and all machines and equipment operated,safely.

  
  
  
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  Document performance and provide ongoing feedback (eg, conducting mid-year and end-year reviews),addressing behavior and job performance issues, recommending hiring and annual salary increases.

  
  
  
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  Train new workers in our operating procedures and standards.

  
  
  

Required Qualifications:

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  Vocational diploma in Technical Engineering, Supply Chain or related discipline.

  
  
  
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  8+ years of experience in food manufacturing with exposure to quality or materials process management.

  
  
  
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  2+ years of progressive experience in people management.

  
  
  
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  Production Software background Nat_base/SAP.

  
  
  
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  Knowledge of project management principles.

  
  
  

What We Can Offer You:

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  Healthcare Plan:

  
  
  
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  Medical

  
  
  
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  Dental

  
  
  
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  Vision

  
  
  
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  High matching 401k plan

  
  
  
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  Vacation days

  
  
  

#LI-Onsite

At Givaudan, you contribute to delightful taste and scent experiences that touch people's lives.You work within an inspiring teamwork culture - where you can thrive, collaborate and learn from other talented and passionate people across disciplines, regions and divisions.

Every essence of you enriches our world.Diversity of perspectives fuels innovation and fosters deeper connections with our employees, customers, and partners. At Givaudan, we are dedicated to cultivating an inclusive environment where every individual's voice is valued and has the power to shape our world. Join us in making a difference together.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

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