mechanical engineer

chief engineer

Peak Properties

Job Title: Helper A (Assistant)Reports To: Chief EngineerJob Overview: The Helper Assistant reports directly to the Chief Engineer (Head Janitor). While specific responsibilities will vary based on location, the Helper Assistant Perform routine building maintenance duties, including painting, minor electrical repairs, plumbing, carpentry, and heating, ventilation systems maintenance along with various janitorial procedures.Primary Responsibilities&middot; Completes assigned work orders directed by Chief Engineer or Property Manager.&middot; Replaces lightbulbs inside and out of property as needed.&middot; Maintains vacant units-keeping the plumbing fixtures, refrigerators and gas or electric ranges clean, and as often as may be necessary to keep the premises in presentable condition for rental.&middot; Clean building floors by sweeping, mopping, scrubbing, or vacuuming. (including party rooms, swimming pools, locker rooms, laundry rooms, etc.).&middot; Vacuum carpet, spot clean, shampoo and extract on an assigned basis.&middot; Clean and dust furniture, blinds and other surfaces, monitor and maintain interior plants.&middot; Service, clean, disinfect restroom and restock soap and paper dispensers.&middot; Putting all ashes and other refuse into the receptacles provided by the premises for waste removal.&middot; Respond, correct, or report safety hazards, or issues while monitoring and cleaning common areas inside and out of building to prevent accidents. Report all accidents to Manager per state and Federal guidelines.&middot; Maintain awareness of safety programs, requirements, and be diligent in preventing.&middot; Follow procedures for the use of chemical cleaners and power equipment, in order to prevent damage to floors and fixtures.&middot; Notify managers concerning the need for major repairs or additions to building operating systems.&middot; Set up, and arrange furniture and equipment to prepare facilities for events.&middot; Record supply inventory as directed and inform management when cleaning supplies are low.&middot; Waste removal and proper disposal of waste and recycling materials.&middot; Notify the manager of supplies and equipment needed for cleaning and maintenance duties.&middot; Participates in shoveling and removal of snow, ensuring areas are salted and clear during winter season.&middot; Change locks and make keys&middot; Assist in moving abandoned furniture and other appliances to dumpster when necessary.Tenant Relations&middot; Provides timely, attentive, upbeat service to residents, and making sure their needs are met or explained in a manner that reflects positively on the company or business.&middot; Reacts quickly to emergency maintenance issues from tenants as guided by Chief Engineer.Other Duties:&middot; Ensure compliance with Peak Properties company policy, as well as federal and local regulations.&middot; Attend Peak meetings and/or connect with other Peak employees to share best practices.&middot; Abides by the Federal Occupational Safety and Health Act, or any Federal, State or Local rules or regulations.&middot; Uses and maintains safety equipment in accordance with the provisions of the Personal Protective Equipment Standard.&middot; Maintains yearly certifications outlined by union and fair housing provisions, preventing harassment courses per Federal, State, or Local laws.&middot; Assist in moving abandoned furniture and other appliances to dumpster when necessary.&middot; Additional duties as assigned by Management.Qualifications:&middot; 2 years&rsquo; experience in janitorial and building maintenance knowledge.&middot; High school diploma or GED.&middot; Knowledge of HVAC, plumbing, electrical, carpentry, and mechanical systems (including relevant equipment and tools) is a plus&middot; Other Certifications/licenses as may be required by Union, local or state jurisdictions.&middot; Universal CFC certification preferred.&middot; Competence with and/or desire to learn and use systems/tools (Yardi, Outlook).&middot; Must be detail-oriented and a motivated self-starter.&middot; Must have the ability to work independently.&middot; Communicate effectively both orally and written.&middot; Working knowledge of computers and automated systems&middot; Must be reliable and responsible and maintain good attendance.&middot; Must have ability to work in a team environment.&middot; Must enroll in SEIU Local 1 and complete required training program.Availability and Work Hours:&middot; 40-hour work week and the ability to work a flexible schedule for evening, weekend, and holiday coverage.&middot; Occasional overtime as needed&middot; Tuesday-Saturday 9am-5pmPhysical Requirements:&middot; Required to lift, carry, walk, sit, push, pull, climb ladders, bending, twisting and climbing stairs.&middot; Ability to be on your feet for the majority of the shift, repetitive and repeated hand and arm motions and the ability to lift and/or carry up to 51 pounds a must.&middot; Must possess the ability to see and hear at normal levels.&middot; Must abide by OSHA safety guidelines or any Federal, State or Local rules or regulations.for Personal Protective Equipment when completing work assignments.Job Type: Full-timePay: $27.23 per hourWork Location: In person

Helper A

University of Chicago

<div>
 
 Department
 
 
 
 OPS ITS - Artificial Intelligence and Automation
 
 
 
 
 About The Department
 
 
 
 
 IT Services (ITS) collaborates with campus partners to support the mission of the University of Chicago through the consistent delivery of high-quality solutions and services. We provide secure, stable, and reliable infrastructure and applications that support the mission of the University. ITS supports and enables faculty research and teaching with the effective use of technology, simplifies the technology experience for all users, identifies, manages, and mitigates technology risks for the University.
 
 
 
 
 Job Summary
 
 
 
 
 The AI Platform Engineer provides the operational support of the University of Chicago&rsquo;s enterprise AI services. This position is responsible for the administration, governance support, compliance monitoring, adoption enablement, and workflow development for institutional AI platforms, beginning with Claude Enterprise.
 
 
 This is a hands-on individual contributor role that combines enterprise platform operations with policy support and campus enablement. The position works across organizational boundaries, coordinating with the CISO&rsquo;s office, the Chief Privacy Officer, General Counsel, and academic units to ensure AI services are secure, governed, and delivering institutional value. The role is designed to scale with Claude adoption and the University&rsquo;s AI portfolio. As new AI tools and capabilities emerge, this position supports the institutional intake process for evaluation, governance alignment, and operational integration.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Administers Claude Enterprise: SCIM provisioning lifecycle (onboarding, offboarding, role changes), connector management, feature flag decisions, admin console configuration, and SSO/IdP maintenance.
 </li>
 <li>
 Integrates and operates the Compliance API and audit log exports, including connection to the institutional SIEM where applicable.
 </li>
 <li>
 Monitors platform health, tracks Anthropic&rsquo;s status page and changelog, and evaluates new features and connectors for governance implications before campus enablement.
 </li>
 <li>
 Serves as the Tier 2/3 escalation point for AI platform issues beyond the help desk&rsquo;s scope.
 </li>
 <li>
 Supports the operational relationship with Anthropic&rsquo;s Technical Account Manager, including quarterly reviews, feature requests, and incident escalation.
 </li>
 <li>
 Produces monthly adoption reporting (MAU, connector usage, training completion, support volume) and maintains dashboards for leadership.
 </li>
 <li>
 Supports the faculty governance groups to provide input from the implementation effort and operations, such as prepare meeting materials, track written-response obligations, and process policy recommendations.
 </li>
 <li>
 Supports the institutional intake process for Claude and other AI tool requests (should we buy X?), working with IT Risk to review proposed tools against the governance framework.
 </li>
 <li>
 Maintains the shadow AI spend dashboard and tracks whether the consolidation thesis is delivering projected outcomes.
 </li>
 <li>
 Coordinates with the CISO and Chief Privacy Officer on compliance questions triggered by new AI features, regulatory changes, or platform incidents.
 </li>
 <li>
 Monitors peer institution AI governance developments, state and federal AI legislation, and regulatory guidance relevant to higher education, including FERPA, HIPAA, GLBA,and export controls.
 </li>
 <li>
 Works with the leaders of the training and enablement programs to develop, review and refresh content.
 </li>
 <li>
 Facilitates office hours (faculty and staff sessions) with other support personnel and coordinates Anthropic TAM participation in regular sessions.
 </li>
 <li>
 Works with University Communications to curate and grow the institutional use case library with department-specific examples, prompt templates, and before/after comparisons.
 </li>
 <li>
 Supports the champions network lifecycle through recruitment, engagement, feedback collection, and cohort rotation.
 </li>
 <li>
 Produces new-feature rollout communications when Anthropic releases capabilities that change product features or user workflows.
 </li>
 <li>
 Builds AI-enabled workflows and integrations for campus units using Claude Projects, MCP connectors, and API integrations to solve real operational problems.
 </li>
 <li>
 Prototypes and evaluates emerging capabilities (agentic workflows, Claude Code, new connector surfaces) for institutional applicability.
 </li>
 <li>
 Partners with departmental stakeholders to identify high-value automation opportunities, and translates them into working solutions.
 </li>
 <li>
 Documents workflow patterns and references architectures for campus reuse.
 </li>
 <li>
 Collaborates with device management teams to effectively manage Claude application deployment and management for campus users.
 </li>
 <li>
 Investigates, analyzes and resolves day-to-day technical problems using standard procedures.
 </li>
 <li>
 Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.
 </li>
 <li>
 Performs other related work as needed.
 
 
 </li>
 </ul>
 
 
 Education:
 
 
 
 
 
 Minimum Qualifications
 
 
 
 Minimum requirements include a college or university degree in related field.
 
 
 
 
 Work Experience:
 
 
 
 
 Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
 
 
 
 
 Certifications:
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 Education:
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, computer science, information science, public policy, or a related field.
 
 
 </li>
 </ul>
 
 
 Experience:
 
 
 
 
 <ul>
 <li>
 2&ndash;5 years of professional experience in IT operations, platform management, IT governance, or a comparable role that combined technical and policy work.
 </li>
 <li>
 Background drafting or contributing to policy documents, guidance materials, or governance frameworks in a professional setting.
 </li>
 <li>
 Background in higher education IT, academic administration, or a similarly decentralized institutional environment.
 
 
 </li>
 </ul>
 
 
 Technical Skills Or Knowledge:
 
 
 
 
 <ul>
 <li>
 Demonstrated ability to learn enterprise SaaS administration (SSO, SCIM, API integrations, admin consoles) through structured onboarding. Direct prior experience is not required; technical aptitude and a track record of learning complex systems quickly.
 </li>
 <li>
 Familiarity with data governance and compliance frameworks relevant to higher education, including FERPA, HIPAA, GLBA, and export controls.
 </li>
 <li>
 Proficient in enterprise AI platforms, such as Claude, ChatGPT Enterprise, Microsoft Copilot, or comparable, as an administrator or power user.
 </li>
 <li>
 Proficient in identity and access management systems, for example Shibboleth, Entra ID, Okta, or comparable platforms.
 </li>
 <li>
 Familiarity with API integration, scripting, or workflow automation tools.
 
 
 </li>
 </ul>
 
 
 Preferred Competencies
 
 
 
 
 <ul>
 <li>
 Strong written communication skills to produce clear guidance documents, meeting materials, and status reports for both technical and non-technical audiences.
 </li>
 <li>
 Work across organizational boundaries in a decentralized environment, coordinating with stakeholders who do not report to you.
 </li>
 <li>
 Comfortable operating with a moderate level of guidance and direction, with the judgment to escalate complex issues to senior staff as needed.
 </li>
 <li>
 Work with governance committees, advisory boards, or cross-functional working groups.
 </li>
 <li>
 The AI landscape is changing rapidly. This role requires a disposition toward continuous learning and comfort with ambiguity. The platforms, policies, and best practices this person manages will change materially year over year.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Hybrid, onsite and remote work as determined by business needs.
 </li>
 <li>
 This position reports to the Office of Chief Technology Officer. The CTO provides escalation authority for cross-institutional coordination, such as CISO, General Counsel, Privacy Officer, and academic units.
 </li>
 <li>
 The role is structured with an intensive onboarding period during the initial platform deployment, approximately nine months, during which the engineer will shadow existing IAM and enterprise systems staff to learn platform-specific administration. The workload composition shifts from deployment-heavy to operations-and-development as the platform matures.
 
 
 </li>
 </ul>
 
 Application Documents
 
 
 
 <ul>
 <li>
 Resume/CV (required)
 </li>
 <li>
 Cover Letter (required)
 </li>
 <li>
 References Contact Information (3)(required)
 
 
 </li>
 </ul>
 The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
 
 
 When applying, the document(s)
 
 MUST
 
 be uploaded via the
 
 My Experience
 
 page, in the section titled
 
 Application Documents
 
 of the application.
 
 
 
 Job Family
 
 
 
 Information Technology
 
 
 
 Role Impact
 
 
 
 Individual Contributor
 
 
 
 Scheduled
 
 
 Weekly Hours
 
 
 
 37.5
 
 
 
 
 Drug Test Required
 
 
 
 
 No
 
 
 
 
 Health Screen Required
 
 
 
 
 No
 
 
 
 
 Motor Vehicle Record Inquiry Required
 
 
 
 
 No
 
 
 
 Pay Rate Type
 
 
 
 Salary
 
 
 
 FLSA Status
 
 
 
 Exempt
 
 
 
 Pay Range
 
 
 
 $120,000.00 - $135,000.00
 
 
 The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting.
 
 
 
 
 Benefits Eligible
 
 
 
 
 Yes
 
 
 The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
 
 
 
 Posting Statement
 
 
 
 The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
 
 
 Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
 
 
 All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
 
 
 The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
</div>

AI Platform Engineer

Trainee Casualty Claims Specialist

Databricks

<div>FEQ327R502

Mission

Reporting to the Tech GM of Field Engineering, the Specialist Solutions Architect Manager for Healthcare &amp; Life Sciences (HLS) will lead a high-impact team of Specialist Solutions Architects (SSAs) and SSA Team Leads/Managers across the North East region. You will cultivate, guide, and scale a dynamic organization focused on enterprise software, big data, healthcare interoperability (e.g., FHIR/HL7), clinical/claims analytics, real-world evidence (RWE), and medical AI/ML applications. Leading this specialized pre-sales engine, you will partner closely with Sales leadership to drive consumption, maximize ARR, and help healthcare providers, payers, and pharmaceutical organizations achieve transformational business and patient outcomes. You will scale and operate a world-class tier of field engineers to accelerate Databricks' dominance within the HLS vertical.

The Impact You Will Have:
<ul>
<li>Hire, train, and develop a high-performing tier of both individual contributors (IC) and frontline managers/leads within the Specialist Solutions Architecture organization.</li>
<li>Maintain a robust, diverse hiring pipeline attuned to deep technical expertise, clinical data structures, and life sciences domain proficiency.</li>
<li>Exceed regional sales and consumption targets by ensuring your management and SA teams rigorously qualify accounts, identify high-value genomic, clinical, or operational use cases, execute secure proof-of-concepts, and serve as trusted advisors across the customer lifecycle.</li>
<li>Drive deep adoption of the Databricks Data Intelligence Platform, ensuring compliance frameworks (HIPAA, HITRUST, GxP) are properly mapped to outsized business and regulatory value.</li>
<li>Establish strong matrixed relationships across Product Management, Engineering, Industry Solutions, and Sales to remove blockers and accelerate go-to-market velocity.</li></ul> 


What We Look For:
<ul>
<li>5+ years of leadership experience directly managing technical pre-sales teams, with a proven track record of leading both high-level individual contributors (L6+) and frontline technical managers/pod leads.</li>
<li>5+ years of deep experience in the data and AI space with highly technical platforms (e.g., distributed computing, cloud data warehousing, MLOps, or generative AI infrastructure).</li>
<li>Comprehensive understanding of the Healthcare and Life Sciences vertical, including hands-on familiarity with industry data models (OMOP, FHIR), regulatory constraints (HIPAA, GxP), and standard enterprise data integration/transformation patterns.</li>
<li>Proven capability as a trusted strategic advisor to HLS technical executives (CTOs, CIOs, Chief Data Officers) guiding large-scale cloud infrastructure and AI roadmap decisions.</li>
<li>Elite command of technical qualification methodologies, architecture design validation, structured proof-of-concept (POC) management, and value-selling frameworks.</li>
<li>Demonstrated history of organizational scaling&mdash;successfully hiring complex profiles, accelerating onboarding cycles, coaching leaders, and managing progression pathways.</li>
<li>Strong operational rigor around pipeline tracking, resource allocation, and building cross-functional alignment between Field Engineering, Sales, and Customer Success.</li>
</ul><div>
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 
 
Benefits 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Sr. Manager, Field Engineering (Specialist) - HCLS

Full Stack Software Engineer

Capital One

<div>Senior Lead Data Engineer
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:
<ul><li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
</li><li>Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
</li><li>Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
</li><li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community
</li><li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
</li><li>Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
</li></ul>Basic Qualifications:
<ul><li>Bachelor&rsquo;s Degree
</li><li>At least 6 years of experience in application development (Internship experience does not apply)
</li><li>At least 2 years of experience in big data technologies
</li><li>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
</li></ul>Preferred Qualifications:
<ul><li>Master's Degree
</li><li>9+ years of experience in application development including Python, SQL, Scala, or Java
</li><li>4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
</li><li>5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
</li><li>4+ year experience working on real-time data and streaming applications
</li><li>4+ years of experience with NoSQL implementation (Mongo, Cassandra)
</li><li>4+ years of data warehousing experience (Redshift or Snowflake)
</li><li>4+ years of experience with UNIX/Linux including basic commands and shell scripting
</li><li>2+ years of experience with Agile engineering practices
</li><li>Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
</li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $209,000 - $238,500 for Sr. Lead Data Engineer 
 
 
 
 
 
 
 
 
 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Senior Lead Data Engineer

Huron Consulting Group

<div>Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We&rsquo;re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we&rsquo;re developing strategies and implementing solutions that enable the transformative change they need to own their future. 
 
As a member of the Huron corporate team, you&rsquo;ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron&rsquo;s collective strategies and enable real transformation to produce sustainable business results. 
 
Join our team and create your future.
This person is a shared engineer who builds and runs the platform every pod reuses: the pipelines, testing, deployment and monitoring, plus reusable building blocks so each new pod starts further ahead.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Build and run the pipelines. CI/CD with automated testing across the pods.</li><li>
Provision the environments. Set up and run the environments the pods build in.</li><li>
Deploy and monitor. The models and agents the pods put into production.</li><li>
Set the standards. Technical and security standards every pod builds to.</li><li>
Build reusable parts. So each new pod starts further ahead than the last.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Building internal developer platforms.</li><li>
AI testing and monitoring in production.</li><li>
Healthcare or higher education with data-security awareness (HIPAA, FERPA).</li><li>
AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA).</li></ul><h1 class="jobSectionHeader">
General Required Skills</h1><ul><li>
5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading.</li><li>
Hands-on running AI systems in production.</li><li>
AWS and Azure, Docker, Kubernetes, infrastructure as code.</li><li>
Strong Python.</li><li>
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.</li></ul>
The estimated base salary for this job is $140,000 - $170,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $161,000 - $218,750 USD. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
#LI-REMOTE
#LI-CL1<h2 class="jobSectionHeader">
Position Level</h2>
Manager<h2 class="jobSectionHeader">
Country</h2>
United States of America</div>

Platform Engineer, AI Capability Center Hub

Explore 8+ Chief engineer in Chicago this July. Find roles across top companies and apply now to boost your career.