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ai engineering intern - summer 2026 Jobs in Chicago

ai engineering intern - summer 2026

ai/ml engineer 

ai engineering intern summer 2026

Cognizant

The posted job opening may be for a Temporary Fixed Term period of time. If the selected applicant is hired as a Temporary Fixed Term employee/associate, their employment with Cognizant will typically be for a period of six to nine months. Any extensions to the temporary employee’s employment period will be solely at the discretion of Cognizant Technology Solutions. About the role
 As a Gen AI Architect , you will make an impact by designing and implementing end-to-end artificial intelligence and machine learning solutions that support safe, scalable, and compliant medical device products. You will be a valued member of the AI and data engineering team and work collaboratively with data scientists, engineers, and compliance stakeholders to deliver innovative solutions that meet regulatory and clinical standards. In this role, you will:
 Design end-to-end machine learning architectures using AWS AI/ML services and MLOps practices for scalable and secure medical device applications
 Develop reusable MLflow-based frameworks for experiment tracking, model versioning, and governance across projects
 Build automated ML pipelines using AWS CodePipeline and related services to enable CI/CD for machine learning models
 Collaborate with cross-functional teams to translate AI/ML concepts into production-ready solutions aligned with regulatory requirements
 Define standards for data ingestion, feature engineering, and model serving to meet performance, reliability, and compliance goals
 Optimize deployment of generative AI and traditional ML models on AWS, balancing cost, scalability, and compliance
 Implement monitoring strategies for model drift, data drift, and system performance using MLOps tools
 Document architectures, decisions, and operational processes to support audits and regulatory reviews
 Partner with compliance and quality teams to ensure traceability, validation, and risk management in medical device AI solutions
 Promote secure coding and data protection practices for sensitive healthcare data
 Review and enhance existing AI/ML solutions to improve scalability, reliability, and clinical safety
 Support modernization of legacy systems into AI-driven solutions for improved clinical outcomes
 Advise stakeholders on how AI and ML capabilities can enhance medical device offerings responsibly Work model
 We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a Cognizant office or client location in Chicago, IL. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
 The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered:
 9–12 years of experience in AI/ML engineering, solution architecture, or data science
 Strong hands-on experience with AWS machine learning services and cloud-native architecture design
 Proven expertise in MLOps practices, including MLflow, model lifecycle management, and governance
 Experience implementing CI/CD pipelines for ML using AWS CodePipeline or similar tools
 Deep understanding of machine learning concepts, including model development, evaluation, and feature engineering
 Hands-on experience with generative AI techniques and frameworks
 Experience working in regulated environments, preferably in medical devices or healthcare
 Strong understanding of data security, compliance, and privacy standards
 Ability to communicate effectively with both technical and non-technical stakeholders These will help you stand out:
 Experience delivering audit-ready, compliant AI/ML solutions in the medical device domain
 Familiarity with regulatory frameworks and validation processes for healthcare technologies
 Strong knowledge of responsible AI practices and risk mitigation strategies
 Experience designing highly scalable, secure cloud architectures for sensitive data
 Ability to bridge innovation with compliance in complex enterprise environments Salary and Other Compensation:
 Applications will be accepted until July 2, 2026 .
 The hourly salary for this position is between $88/hr - $100/hr depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
 
Medical/Dental/Life Insurance
 
Long-term/Short-term Disability
 Employee Stock Purchase Plan
 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Gen AI Architect

Location
 Location: Chicago
 Other locations: Anywhere in Country
 Salary: Competitive
 Date: Jun 23, 2026
 Job description
 Requisition ID: 1719879
 
Location: Anywhere in Country
 
At EY, we’re all in to shape your future with confidence.
 
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
 
In the digital economy, it takes more than good ideas and strong leadership to thrive. Upgrading outdated processes, systems and information is vital – but can be a risky investment in such a rapidly changing environment. That’s why some of the most prestigious businesses worldwide look to us for authoritative, agile, and efficient solutions for business decision-making. As a ServiceNow Senior Consultant you’ll play a leading role in that mission, providing the competitive edge our clients need to overcome some of the biggest creative and technical challenges around.
 
The opportunity
 
You’ll lead ServiceNow Transformation teams in a rapidly growing area of the business. It’s a client visible role, in which you’ll have opportunities to showcase your ability to not only motivate and develop your team but also establish and maintain new client relationships. You will have an opportunity to grow your consulting and team leadership skills, as well build relationships and obtain experiences that will define your career.
 
As a Senior Technology Analyst, you will play a pivotal role in bridging the gap between business needs and technical solutions. You will interact with business stakeholders to gather and analyze requirements, ensuring that newly implemented technology solutions meet their needs. Your collaboration with technical teams will be essential in designing and delivering effective system architecture solutions.
 
Your key responsibilities
 
In this role, you will spend your time engaging with clients and internal teams to ensure successful project delivery. You will face challenges that require analytical thinking and problem-solving skills, providing you with opportunities to learn and grow in a dynamic environment. This position may require regular travel to meet with clients, allowing you to build relationships and understand their needs better. Key responsibilities include:
 
Interacting with business stakeholders to evaluate business models and processes.
 Analyzing newly implemented technology solutions to verify they meet business requirements.
 Collaborating with technical teams to design and deliver system architecture solutions.
 
Skills and attributes for success
 
Here, you’ll serve a wide portfolio of clients - each with their own backgrounds, strengths, and ambitions, so no two days will be the same. That could mean working to improve our customers’ ITSM processes (e.g., Incident Management, Problem Management, Change Management, Service Catalog, Knowledge Management) or evaluating how AI can streamline delivery. Wherever you find yourself, you’ll be making a visible impact on projects that cross borders and challenge conventional wisdom to encourage transformation.
 
Act as a workstream lead across all aspects of a ServiceNow ITSM project and solution delivery including but not limited to design, configuration/development, testing and deployment phases
 Ability to manage and mentor a multi-disciplinary team of 3-5 resources including offshore resources (e.g., consultants, developers, and testers)
 Provide guidance and industry leading practice expertise for ServiceNow ITSM process implementations, including how specific business objectives can be met through process and technology transformation
 Ability to analyze a company’s people, process, and technology capabilities, provide leading practice recommendations and contribute insights to strategic roadmaps
 Ability to advise on the connectivity of the CMDB and IT Operations Management (ITOM) to ITSM processes
 Current knowledge of ServiceNow AI capabilities for ITSM, including Now Assist, Virtual Agent, Predictive Intelligence, AI Search, AI Agents, and AI Control Tower
 Ability to identify and advise clients on practical AI-enabled ITSM use cases, including incident triage, ticket summarization, knowledge recommendations, self-service automation, and service desk productivity
 Ability to translate ServiceNow AI capabilities into measurable business outcomes, including faster resolution, improved employee experience, reduced manual effort, and stronger service operations
 Ability to lead client process and design sessions and facilitate requirements workshops with functional and/or business process area subject matter resources
 Experience in waterfall and agile delivery models – including supporting management activities such as planning, status reporting, budgets and risk and issue logs
 Ability to create high quality deliverables and project artifacts
 
To qualify for the role, you must have
 
A bachelor's degree, preferably in Computer Science, Information Systems Management, Engineering or similar discipline
 Typically, no less than 2 - 4 years relevant ServiceNow ITSM project experience
 ServiceNow Certified Systems Administrator (CSA) or Certified Application Developer (CAD)
 
Minimum of 1 of the following ServiceNow certifications: 
ServiceNow Certified Implementation Specialist – ITSM
 3+ years of Big 4 or equivalent consulting experience
 Excellent soft skills – communication (written/verbal), adaptability, problem solving, teamwork, relationship building, dependability, and organization
 Experience leading teams and supervising others
 A driver’s license valid in the U.S.
 Ability to travel to meet client needs
 
Ideally, you’ll also have
 
ServiceNow Certified Master Architect (CMA) or Certified Technical Architect (CTA)
 Performance analytics and reporting experience – certifications are a plus
 ServiceNow Certified Implementation Specialist – Data Foundations or HAM or SAM
 Experience in ServiceNow’s AI solutions (e.g., Now Assist, Agentic, AI Control Tower)
 
What we look for
 
We seek individuals who are proactive, innovative, and eager to contribute to team success. Top performers are those who demonstrate strong analytical skills, the ability to communicate effectively, and a passion for technology and its impact on business.
 
What we offer you
 
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
 
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $102,500 to $187,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $122,900 to $213,400. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
 Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
 Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
 
Are you ready to shape your future with confidence? Apply today.
 EY accepts applications for this position on an on-going basis.
 
For those living in California, please click here for additional information.
 
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
 
EY | Building a better working world
 
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
 
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
 
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
 
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
 
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
 
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ServiceNow - ServiceNow IT Service Management (ITSM) - Senior -Tech Cons - Open Location

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Job Summary:
Cat Digital is the digital and technology focused organization within Caterpillar, Inc. Our global team is responsible for bringing digital capabilities to Caterpillar&rsquo;s world-famous yellow iron. Working with your yellow partners and Cat Dealers, we execute key components of digital and marketing portfolios, including global marketing &amp; brand, enterprise data, analytics and AI, equipment management, eCommerce, digital marketing, rental &amp; used digital solutions, and aftermarket leads &amp; insights.
What You Will Do:
As a Senior Software Engineer on the Data Engineering team, you will be responsible for developing Python data pipelines that build business data objects used to support applications.
<ul><li>Responsibilities of the incumbents are across functional lines with individuals assigned in new program development.</li></ul><ul><li>
Competent to perform all programming, project management, and development assignments without close supervision; normally assigned the more complex aspects of systems work.</li><li>
Works directly on complex application/technical problem identification and resolution.</li><li>
Interpreting design requirements for engineering implementation</li><li>
Building and deploying CICD pipelines</li><li>
Implementing source to target mapping as pipeline code</li><li>
Responsibility for Unit and Integration testing</li><li>
Maintains high standards of software quality within the team by establishing good practices and habits</li><li>
Identifies and encourage areas for growth and improvement within the team</li><li>
Employee is also responsible for performing other job duties as assigned by Caterpillar management from time to time.</li></ul>
What You Will Have:<ul><li>
Software Development Strong expertise in software development tools and activities; ability to produce software products or systems in line with product requirements.</li><li>
Software Development Life Cycle: Strong expertise in software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.</li><li>
Software Product Design/Architecture: Strong expertise in software product design; ability to convert market requirements into the software product design.</li><li>
Software Product Technical Knowledge: Strong expertise in technical aspects of a software products; ability to design, configure and integrate technical aspects of software products.</li><li>
Software Product Testing: Strong expertise in software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.</li></ul>
Considerations For Top Candidates:<ul><li>
Software development experience and solid knowledge of OOP principles</li><li>
Experience in designing and developing software applications in Python</li><li>
Experience working with Git version control on medium to large teams</li><li>
Deploying software using CI/CD tools such as Jenkins, Github Actions, Azure Devops etc.</li><li>
Experience with AWS components such as Lambda, Kinesis, Event Bridge, CloudWatch, CloudFormation, Dynamo, Fargate, S3, Sage Maker, IAM and RDS</li><li>
Experience working with Snowflake</li><li>
Hands‑on experience with GenAI developer tools</li><li>
Experience with tools such as GitHub Copilot or Claude Code, or similar AI coding assistants to improve developer productivity, code quality, and delivery speed</li></ul>
Additional Details:<ul><li>
This position requires the candidate to be in either Chicago, IL or Peoria, IL</li><li>
Domestic relocation assistance is NOT available for this position</li><li>
Visa sponsorship is NOT available with this position</li></ul>
#LI
Summary Pay Range:
$147,760.00 - $240,110.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>
Medical, dental, and vision benefits*</li><li>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>
401(k) savings plans*</li><li>
Health Savings Account (HSA)*</li><li>
Flexible Spending Accounts (FSAs)*</li><li>
Health Lifestyle Programs*</li><li>
Employee Assistance Program*</li><li>
Voluntary Benefits and Employee Discounts*</li><li>
Career Development*</li><li>
Incentive bonus*</li><li>
Disability benefits</li><li>
Life Insurance</li><li>
Parental leave</li><li>
Adoption benefits</li><li>
Tuition Reimbursement</li></ul>
<ul><li>These benefits also apply to part-time employees</li></ul>
Visa Sponsorship is not available for this position.
Posting Dates:
June 23, 2026 - July 5, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.</div>

Principal Software Engineer

Intellect Group

<div>
 
 
 Junior&ndash;Mid-Level AI Engineer &ndash; Chicago, IL
 
 
 
 
 Location: Chicago, IL &mdash; Hybrid
 
 
 
 
 Salary: $110,000&ndash;$150,000 base salary, depending on experience
 
 
 
 
 Employment Type: Permanent | Full-Time
 
 
 
 
 
 
 Intellect Group is partnering with high-growth technology companies across Chicago that are hiring Junior and Mid-Level AI Engineers.
 
 
 
 
 
 These opportunities are suited to engineers with approximately 1&ndash;3 years of professional experience, as well as exceptional graduates with strong internships, research experience, or substantial hands-on AI projects.
 
 
 
 
 
 You will work alongside experienced engineers, data scientists, and product teams to build AI systems that move beyond experimentation and into production. Our clients include funded startups, scaling technology companies, and established businesses operating across AI, fintech, healthcare, SaaS, and logistics.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 &bull; Designing, developing, and deploying machine learning models and AI-powered product features
 
 
 &bull; Building applications using LLMs, generative AI, NLP, and deep learning
 
 
 &bull; Developing end-to-end AI pipelines covering model training, deployment, evaluation, and monitoring
 
 
 &bull; Building RAG pipelines, semantic search tools, AI agents, and conversational applications
 
 
 &bull; Developing APIs and services that integrate AI models into customer-facing products
 
 
 &bull; Collaborating with software engineers, data scientists, and product teams to solve real-world business problems
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 &bull; Approximately 1&ndash;3 years of experience in AI engineering, machine learning, data science, or software engineering
 
 
 &bull; Exceptional graduates with relevant internships, research, or technically strong personal projects will also be considered
 
 
 &bull; Strong Python programming skills
 
 
 &bull; Experience with PyTorch, TensorFlow, Scikit-learn, Hugging Face, or similar frameworks
 
 
 &bull; A solid understanding of machine learning, neural networks, transformers, and model evaluation
 
 
 &bull; Exposure to LLMs, generative AI, NLP, or deep learning
 
 
 &bull; Strong problem-solving and communication skills, with the ability to explain the reasoning behind your work
 
 
 
 
 
 
 Desirable Experience
 
 
 
 &bull; RAG, AI agents, vector databases, embeddings, or semantic search
 
 
 &bull; AWS, Microsoft Azure, or Google Cloud Platform
 
 
 &bull; Docker, FastAPI, Kubernetes, CI/CD, or other MLOps technologies
 
 
 &bull; SQL, data pipelines, API development, and production deployment
 
 
 &bull; Open-source contributions, academic research, Kaggle competitions, or personal AI projects
 
 
 
 
 
 
 What&rsquo;s on Offer:
 
 
 
 &bull; A base salary of $110,000&ndash;$150,000
 
 
 &bull; Annual bonuses or equity options
 
 
 &bull; Medical, dental, and vision insurance
 
 
 &bull; 401(k) plans with potential employer matching
 
 
 &bull; Flexible paid time off and paid parental leave
 
 
 &bull; Learning and professional-development support
 
 
 &bull; Hybrid working and commuter benefits
 
 
 &bull; Clear progression into Senior, Lead, and Staff AI Engineering roles
 
 
 
 
 
 
 Apply Now
 
 
 
 If you are an early-career AI Engineer looking to build meaningful, production-ready AI systems, we would like to hear from you. Apply with your r&eacute;sum&eacute; today. Links to GitHub profiles, portfolios, research papers, or personal AI projects are strongly encouraged.
 
 
 
 
 
 
 A member of the Intellect Group team will contact suitable applicants to discuss relevant opportunities across the Chicago market.
 
 
</div>

Artificial Intelligence Engineer

Convey

<div><div>Why p44LSP.ai?

At project44, we believe in better &mdash; and p44LSP.ai is what better looks like for the logistics service provider market.

For years, project44 focused on global shippers as our core customer. That focus worked. Our Shipper business is a category leader growing 20% year-over-year. That strength is what makes the next chapter possible.

Shippers and LSPs are fundamentally different businesses. Shippers buy logistics software to support their core operations. Logistics Service Providers &mdash; freight forwarders, brokers, and 3PLs &mdash; sell logistics as their product. Their software is their competitive edge. They buy fast, build on APIs and agents, and reward teams that ship in weeks, not quarters.

This is why we created p44LSP.ai: a dedicated, AI-native division built to serve the LSP market with the focus, speed, and resources it deserves. It's the scope and ownership of an AI startup, backed by the infrastructure of a $124M business &mdash; 259K carriers, billions of shipment outcomes, agents in production, and direct access to project44's data graph, carrier network, and enterprise relationships.

This is a small, hand-picked team operating across Chicago, San Francisco, Bangalore, and the EU. Flat org. Forward-deployed engineering. AI coding tools across the workflow. Agents as the product surface. Customers who pilot in weeks and tell you what they think directly.

The LSP market is moving fast. AI agent startups are growing 300%+ year-over-year, and seven of eight sell to LSPs. We have the data position, the platform, the customers, and now the team. We're hiring the engineers who will build it with us.

AI at project44

We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers

If you&rsquo;re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team &ndash; we should talk.

The Role

Most engineers build for customers. FDEs build with them. You'll be embedded directly with high-value LSP accounts &mdash; owning integration architecture, customizing agent workflows, and serving as the ground truth between how LSPs actually operate and how our product team thinks they do. Your job is to transform logistics from a reactive service into a programmable network &mdash; replacing manual workflows with autonomous agent-to-agent coordination. What you learn in the field shapes the roadmap. You ship in weeks, not quarters.

What You'll Work On
<ul>
<li>Own end-to-end integration for dedicated LSP accounts &mdash; configure bi-directional webhooks and event-driven pipelines so AI agents can read, act, and write data into customer TMS, WMS, and ERP systems instantly</li>
<li>Unify disparate customer data into a single actionable signal &mdash; driving dynamic interoperability across core business systems</li>
<li>Customize interfaces and agent logic to fit existing LSP workflows across freight procurement, load tendering, and exception handling &mdash; reducing time-to-value and making adoption feel natural</li>
<li>Feed the right context to agents and debug decisions when they go wrong &mdash; tracing failures back to the specific data point, prompt, or tool use that caused them</li>
<li>Build event-driven pipelines (Kafka/PubSub) that carry agent intent at the scale of millions of logistics events per day</li>
<li>Serve as the ground truth &mdash; we can't build a world-class product in a silo. Your field observations directly inform what gets on the roadmap and when</li>
</ul>
What We're Looking For

Qualifications
<ul>
<li>5+ years in software engineering, solutions engineering, or technical implementation in a customer-facing role</li>
<li>Mastery of API-first design and bi-directional webhook configuration</li>
<li>Experience with event-driven architecture and stream processing (Kafka, PubSub, or similar)</li>
<li>Hands-on integration experience with TMS, WMS, or ERP systems</li>
<li>Strong debugging skills across distributed, agent-driven workflows</li>
<li>Deep domain knowledge in logistics &mdash; freight procurement, load tendering, carrier management, and exception handling. LSP customers don't trust engineers who don't understand their world. You need to speak their language to earn the right to change how they work.</li>
</ul>
Nice to Have
<ul>
<li>Experience with agentic AI systems &mdash; context feeding, prompt engineering, tool invocation, stateful agents</li>
<li>Prior experience in a forward-deployed or field engineering role</li>
<li>Containerization and orchestration (Docker, Kubernetes)</li>
</ul>
How You Work
<ul>
<li>You take ownership of outcomes, not just deliverables</li>
<li>You bring back what you see in the field and use it to make the product better</li>
<li>You move fast, iterate in the open, and don't wait for perfect conditions</li>
<li>You can translate technical complexity to both engineers and LSP operators without losing either audience</li>
</ul>
Work Authorization: Candidates must be authorised to work in the US without current or future employer-sponsored visa support.

In-office Commitment: Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters 3 days a week. Together, we&rsquo;re building something extraordinary&mdash;learn, grow, and thrive in our fast-paced, transformative environment.

Diversity &amp; Inclusion

At project44, we're designing the future of how the world moves. As we work to deliver a truly world-class product, we're intentionally building teams that reflect the unique communities we serve. We're focused on creating a company where all team members can bring their authentic selves to work every day.

project44 is an equal opportunity employer. If you share our values and passion for the future of logistics, we'd love to review your application. Even if you don't meet 100% of the requirements, please consider applying &mdash; studies show you can still be a strong candidate at 50%.

For any accommodation needed during the hiring process, please email recruiting@project44.com.</div></div>

Senior Forward Deployed Engineer

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

Northern Trust Corp.

<div>About Northern Trust 
As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world&rsquo;s most successful individuals, families, corporations and institutions. 
 
Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. 
 
With more than 135 years of financial experience and over 24,000 partners, we serve the world&rsquo;s most sophisticated clients using leading technology and exceptional service. 
 
 
The global lead for Platform Engineering leads the strategy, development, and operationalization of shared developer tools and foundational services used across Global Engineering and the BU CIO Engineering teams. The role reports to the Global Head of Engineering and is accountable for improving engineering consistency, scalability, security, and reliability by delivering high-quality shared tools and services.
Key responsibilities of the role include:<ul><li>
Own the end-to-end developer experience across build, test, deployment, and runtime by partnering with application engineering leaders across Engineering and BU CIO to understand needs, identify opportunities, and reduce friction across the software development lifecycle.</li><li>
Design, build, and maintain DevSecOps integrations and pipelines to enable efficient, reliable, and predictable software delivery across the firm while ensuring platform stability and resilience.</li><li>
Deliver developer productivity and flow metrics by collecting, integrating, and maintaining data and analytics across disparate systems.</li><li>
Design, build, and maintain AI agents that support the end-to-end SDLC and contribute to more predictable, efficient software delivery.</li><li>
Maintain common shared services and tools, including API gateways, Confluence, and other core engineering platforms.</li><li>
Maintain current and approved open-source libraries and dependencies.</li><li>
Lead the product management function for Platform Engineering by defining the vision, roadmap, and priorities for shared engineering platforms and services in partnership with engineering leaders and key stakeholders.</li><li>
Drive adoption of common standards, tools, and practices across Global Engineering and BU CIO, including:<ul><li>
Establish standards for tooling, platform usage, and service reliability.</li><li>
Modernize legacy engineering tools and workflows.</li><li>
Implement and standardize agile delivery practices in partnership with Scaled Agile coaches, including:<ul><li>
Establish tools, technologies, standards, and best practices to accelerate agile delivery.</li><li>
Own execution of the agile operating model in partnership with Scaled Agile coaches, and continuously adapt processes to improve performance, efficiency, and outcomes.</li><li>
Enhance software engineering productivity through continuous integration and delivery, automation, and innovation.</li><li>
Drive adoption of agile practices and outcomes through tooling, enablement, and measurement.</li></ul></li></ul></li><li>
Partner closely with Security, SRE, Risk, Control, and Architecture teams to embed best practices into shared tooling and platforms.</li><li>
Measure and improve engineering productivity using qualitative feedback and quantitative metrics such as DORA and cycle time.</li><li>
Improve the stability of tools and platforms to increase developer productivity and enhance the overall developer experience.</li><li>
Partner with the business and key technology stakeholders to transform the software delivery platform by infusing modern methods and tools, including AI, to drive efficiency and improve speed to market for the Engineering and BU CIO teams.</li><li>
Be accountable for platform delivery metrics, including stability, velocity, and other measures that demonstrate the success of the platform.</li></ul>
Skills/Qualifications:<ul><li>
Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
Experience:<ul><li>
20+ years of software engineering experience, including 5+ years in a technical leadership role.</li><li>
Strong background in platform engineering, DevOps, and infrastructure.</li></ul></li><li>
Competencies:<ul><li>
Influence without authority by motivating, inspiring, and guiding others toward defined outcomes without direct reporting relationships.</li><li>
Drive efficiency and results by using data and metrics to set priorities, optimize productivity, and deliver high-quality business outcomes.</li><li>
Strong problem-solving skills, including the ability to solve complex challenges within matrixed teams and fixed resource constraints.</li><li>
Strong business acumen, with the ability to understand how the business creates value and translate strategy and requirements into high-quality solutions.</li><li>
Demonstrated experience applying product management disciplines to internal engineering platforms, including vision setting, roadmap development, prioritization, and stakeholder alignment.</li><li>
Ability to translate business, developer, and platform needs into a clear product strategy, measurable outcomes, and an actionable backlog.</li></ul></li><li>
Knowledge:<ul><li>
Emerging technology trends, including AI, automation, and intelligent workflows.</li><li>
Modern CI/CD practices, cloud-native architectures, and automation tools.</li><li>
Agile engineering and delivery practices.</li><li>
Security frameworks (for example, NIST) and data protection and privacy requirements.</li><li>
SDLC governance and technical debt management.</li><li>
SaaS ecosystems and application portfolio rationalization and modernization.</li><li>
IT operations and service management, including incident management, reliability, disaster recovery, and business continuity.</li><li>
Financial services domain knowledge, including products, services, data, and applications.</li><li>
Awareness of risk, control, and regulatory requirements relevant to financial services technology.</li></ul></li></ul>
The successful candidate will benefit from having:<ul><li>
Experience with application modernization, DevOps, and Site Reliability Engineering (SRE).</li><li>
Experience leading teams through change at scale.</li></ul>
Salary Range:
$240,000 - 375,000
Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life &amp; accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. 
Work Authorization 
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa). 
 
Working with Us 
As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve. 
 
Philanthropy is deeply rooted in Northern Trust&rsquo;s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities. 
 
Reasonable Accommodation 
Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com, or alternatively you can discuss your individual requirements with the recruiter you are working with.</div>

Global Head of Platform Engineering

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