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senior ai software engineer

infrastructure operations lead cloud and ai genai enablement

CNA Insurance

<div>You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and modernizing production-grade data pipelines and data solutions across hybrid cloud and on-premise environments. The role applies expertise in AI-assisted development tools, strong engineering judgment, and modern data engineering practices to integrate structured, semi-structured, and unstructured data across complex enterprise ecosystems, leveraging both legacy platforms and cloud-native technologies to deliver scalable, secure, resilient, and high-quality solutions that improve speed to delivery, operational reliability, and business value.
JOB DESCRIPTION:
Essential Duties &amp; Responsibilities
Performs a combination of duties in accordance with departmental guidelines:<div><ul><li>
Serves as a key team member who delivers results and creates value for the CNA brand, customers, and internal stakeholders, while collaborating effectively with external and offshore resources as needed.</li></ul></div><div><ul><li>
Demonstrate hands-on experience using AI-assisted development tools to accelerate engineering tasks such as pipeline creation, code generation, testing, and troubleshooting</li></ul></div><div><ul><li>
Apply strong engineering judgment when working with AI-generated outputs, ensuring alignment with enterprise standards for quality, security, and data handling</li></ul></div><div><ul><li>
Design and build data pipelines that support multi-modal data, including structured, semi-structured, and unstructured sources (e.g., transactional data, documents, and external data feeds)</li></ul></div><div><ul><li>
Build and modernize data pipelines across hybrid environments (on-premise and cloud), incorporating automation, observability, and resiliency by design</li></ul></div><div><ul><li>
Designs, builds, and enhances large-scale data processing systems and data lakes on Google Cloud Platform, optimizing for computational and storage efficiency while applying strong expertise in data modeling and engineering best practices.</li></ul></div><div><ul><li>
Operate effectively in complex, multi-entity and multi-national system landscapes, integrating internal platforms and external data providers</li></ul></div><div><ul><li>
Bring familiarity with both legacy enterprise data tools (e.g., ETL/ELT platforms, relational databases) and modern cloud-native data and integration services</li></ul></div><div><ul><li>
This role is not focused on experimentation alone &mdash; it is focused on applying AI in a disciplined, production-grade engineering environment to drive measurable improvements in delivery speed, quality, and operational reliability</li></ul></div><div><ul><li>
May lead or sub-lead the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems.</li></ul></div><div><ul><li>
May lead or sub-lead the creation of integrated data views based on business or analytics requirements.</li></ul></div><div><ul><li>
May lead or sub-lead robust unit testing to ensure deliverables match the design and provide expertise to support subsequent release testing.</li></ul></div><div><ul><li>
Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.</li></ul></div><div><ul><li>
Research, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.</li></ul></div><div><ul><li>
May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.</li></ul></div><div><ul><li>
Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.</li></ul></div> 
May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge &amp; Abilities<div><ul><li>
Strong knowledge of data architecture, relational and NoSQL database concepts, ETL/ELT patterns, dimensional modeling, metadata, and data quality frameworks for enterprise-scale data solutions.</li></ul></div><div><ul><li>
Strong experience designing and building scalable data integration and pipeline solutions with a focus on accuracy, observability, resiliency, performance optimization, and ease of consumption.</li></ul></div><div><ul><li>
Proficiency in Python and advanced SQL for large-scale, complex datasets, with hands-on experience using AI-assisted development tools to accelerate coding, testing, troubleshooting, and engineering productivity.</li></ul></div><div><ul><li>
Strong communication, collaboration, and stakeholder engagement skills, with the ability to apply sound engineering judgment and work effectively across highly matrixed, cross-functional, and global teams.</li></ul></div><div><ul><li>
Preferred experience building data and analytics solutions on Google Cloud Platform, including services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer, or equivalent cloud-native data technologies.</li></ul></div><div><ul><li>
Preferred experience in insurance and financial services, including familiarity with regulatory, risk, underwriting, claims, customer, and operational data domains.</li></ul></div><div><ul><li>
Experience with big data and distributed processing technologies, hybrid cloud and on-premise environments, and modern engineering practices including automation, testing, CI/CD, and secure data handling.</li></ul></div><div><ul><li>
Working knowledge of business intelligence, reporting, and analytics enablement tools, with an understanding of data governance, lineage, monitoring, and controls needed to support trusted, production-grade data products.
</li></ul></div><div>Education &amp; Experience</div><div><ul><li>
Bachelor&rsquo;s degree with Master&rsquo;s preferred in Computer Science, Information Technology, related discipline or equivalent work experience.</li></ul></div><div><ul><li>
Typically 5+ years of experience in data, analytics or application development.</li></ul></div><div><ul><li>
2+ years of coding proficiency in at least one programming language (Python, Java, SQL).</li></ul></div><div><ul><li>
Experience using Agile methods preferred.</li></ul></div><div><ul><li>
Applicable certifications preferred (GCP, Data Engineering).</li></ul>
#LI-KJ1 #LI-HYBRID</div>
In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees &ndash; and their family members &ndash; achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA&rsquo;s benefits, please visit cnabenefits.com. 
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page. 
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com</div>

Senior Data AI Engineer

Hart, Inc.

<div>Description: 
Hart is seeking an accomplished health tech journalist or healthcare IT communications professional to help elevate our market authority through high-quality thought leadership, blog content, press releases, earned media, and story development.
This role is ideal for a journalist, editor, or communications professional with deep experience covering healthcare technology, health IT, digital health, interoperability, EHRs, hospital operations, data infrastructure, or healthcare innovation. As part of the marketing team, this position will help translate Hart&rsquo;s expertise into credible, timely, search-optimized, and media-ready content that strengthens Hart&rsquo;s visibility with healthcare executives, industry analysts, trade publications, and search-driven audiences.
Requirements:

 Thought Leadership and Blog Writing
Develop authoritative blog articles and long-form content on topics relevant to healthcare IT leaders, including EHR data migration, archival, interoperability, data accessibility, healthcare mergers and acquisitions, system decommissioning, disaster recovery, and healthcare data infrastructure.
Interview Hart executives, subject matter experts, clients, and partners to uncover market insights, customer challenges, technical differentiators, and compelling story angles.
Create content that supports both traditional SEO and answer engine optimization, including contentstructured for discoverability in AI-generated search, industry queries, and executive-level research.
Write in a voice that is credible, clear, educational, and aligned with the needs of CIOs, CMIOs, CFOs, health information leaders, IT directors, and operational executives. 
Press Releases and Media Materials
Draft press releases for product announcements, partnerships, customer wins, milestones, executive appointments, thought leadership campaigns, and market commentary.
Develop supporting media materials such as story briefs, executive quote banks, company backgrounders, contributed article outlines, award submissions, and analyst-ready summaries.
Help identify timely hooks tied to industry trends, regulatory changes, EHR vendor movement, healthcare consolidation, cybersecurity, interoperability, and data modernization.
Media Pitching and Story Development
Identify relevant journalists, editors, trade publications, podcasts, newsletters, and media outlets covering healthcare IT, digital health, hospital operations, data infrastructure, and health system transformation.
Develop targeted pitches that position Hart executives and subject matter experts as credible sources forcommentary and contributed content.
Support outreach to news outlets and industry publications with story ideas, expert commentary, bylinedarticle concepts, and interview opportunities.
Track media opportunities and recommend ways Hart can participate in timely conversations across the health tech landscape.
SEO, AEO, and Content Strategy Support
Contribute to Hart&rsquo;s content strategy by recommending article topics, keyword themes, question-basedcontent, and authority-building content clusters.
Optimize content for executive search behavior, AI answer engines, healthcare technology queries, andindustry-specific terminology.
Ensure content demonstrates expertise, credibility, originality, and relevance to healthcare decision makers.
Repurpose major content themes into derivative assets such as LinkedIn posts, executive commentary,email copy, sales enablement summaries, and short-form insights.
The ideal candidate will have:<ul><li>
7+ years of experience in journalism, healthcare communications, health tech content, publicrelations, or editorial strategy.</li><li>
A strong portfolio of published work in healthcare technology, digital health, health IT, hospitaloperations, healthcare data, interoperability, EHRs, cybersecurity, or related fields.</li><li>
Experience writing for executive audiences, particularly CIOs, CMIOs, CFOs, health informationleaders, IT directors, and healthcare operations leaders.</li><li>
Strong understanding of how healthcare organizations evaluate technology vendors, manage EHRtransitions, modernize data infrastructure, and address data accessibility challenges.</li><li>
Demonstrated ability to turn complex technical and operational topics into clear, compelling, andcredible narratives.</li><li>
Experience drafting press releases, contributed articles, media pitches, and executive thoughtleadership.</li><li>
Familiarity with SEO best practices, content authority signals, and emerging answer engineoptimization strategies.</li><li>
Existing relationships with healthcare IT publications, trade media, editors, analysts, or industrynewsletters is strongly preferred.</li><li>
Ability to work independently, interview subject matter experts, synthesize complex ideas, anddeliver polished content with minimal oversight.</li></ul>
Preferred Background:<ul><li>
Experience with any of the following would be especially valuable:</li><li>
Healthcare IT trade journalism</li><li>
EHR vendors or EHR implementation consulting</li><li>
Interoperability, TEFCA, FHIR, HL7, or healthcare data exchange</li><li>
Health system mergers, acquisitions, divestitures, or EHR consolidation</li><li>
Legacy system archival or application rationalization</li><li>
Healthcare cybersecurity, disaster recovery, or business continuity</li><li>
B2B SaaS, enterprise health tech, or services-enabled technology companies</li><li>
Public relations or analyst relations for healthcare technology companies</li></ul></div>

Marketing Manager, Communications

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

Lenovo

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 
 
 Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 
 
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 
 
 
 About Our Team
 
 
 
 Seeking a
 
 Software Engineer
 
 to join our team to help build leading edge software solutions that enable rich AI experiences for multiple downstream applications and devices. You will work closely with various teams to design and own features end-to-end, from backend to frontend. Your designs must be highly scalable and optimized for high-performance use cases.
 
 
 
 Location:
 
 Onsite in Chicago, IL; Hybrid (3 days onsite, 2 days remote)
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Contribute to major initiatives, delivering reliable, high-impact solutions.
 </li>
 <li>
 Design and integrate scalable technical solutions that support multiple business functions in large production environment hosted in Azure.
 </li>
 <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>
 Collaborate and contribute on cloud infrastructure and DevOps pipelines within Azure along with ensuring security scanning, and deployment workflows are completed.
 </li>
 <li>
 Partner with product, data, and platform stakeholders to integrate enterprise systems.
 </li>
 <li>
 Help shape future architecture and technical direction of the platform.
 </li>
 <li>
 Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences for millions of users.
 </li>
 <li>
 Utilize programming languages like Java, Node, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker, and a variety of Azure tools and services.
 </li>
 <li>
 Translate business requirements and functional specifications into effective technical designs while assessing impacts to existing systems, processes, and architecture.
 </li>
 <li>
 Develop and maintain enterprise applications using disciplined, modern development practices.
 </li>
 <li>
 Review test strategies and oversee testing to ensure solutions meet business needs with minimal risk.
 </li>
 <li>
 Support successful releases by deploying new modules, upgrades, and fixes to production environments.
 </li>
 <li>
 Troubleshoot and resolve system issues, improving stability and performance.
 </li>
 <li>
 Review updates to application portfolio inventory for accuracy and completeness.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree Computer Science or technical discipline
 </li>
 <li>
 3+ years of professional software engineering experience
 </li>
 <li>
 3+ years of experience in Node.js
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Python and Go
 </li>
 <li>
 2+ years of experience with Azure preferred, or another cloud service
 </li>
 <li>
 2+ years of experience in open-source frameworks
 </li>
 <li>
 2+ years of experience in Agile practices
 
 
 </li>
 </ul>
 The base salary range budgeted for this position is $100,000 - $125,000. Individuals may also be considered for bonus and/or commission.
 
 
 Lenovo&rsquo;s various benefits can be found at www.lenovobenefits.com.
 
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 
</div>

Software Engineer (Node.js, Python, Go, Azure)

iManage

<div>We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays &amp; Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance.
Being a Senior AI Software Engineer at iManage Means&hellip;
You are passionate about building and deploying AI systems that work at scale in production. You will work within the Applied AI team alongside engineers, data scientists, and product stakeholders to develop the AI capabilities that power iManage&rsquo;s enterprise work platform, including Ask iManage, our generative AI document assistant, as well as document classification, extraction, and LLM-driven features that directly impact how knowledge workers search, organize, and understand their most critical information. You bring hands-on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud infrastructure.
iM Responsible For&hellip;<ul><li>
Owning the end-to-end ML lifecycle for AI systems from model development and evaluation through to scalable production serving, generative AI document intelligence, and agentic system use cases</li><li>
Deploying and optimizing ML/AI systems on GPUs and Kubernetes-based cloud infrastructure, including AKS or equivalent platforms, while balancing trade-offs across scalability, latency, performance, operational complexity, and cost efficiency</li><li>
Designing and implementing production-ready LLM applications and APIs with monitoring, observability, and integration testing built in</li><li>
Applying modern engineering practices for production AI systems, including containerized services, CI/CD pipelines, model and version tracking, and release governance</li><li>
Collaborating with product and business stakeholders to translate requirements into viable technical solutions</li><li>
Conducting code reviews and providing constructive feedback to team members</li><li>
Contributing to best practices and standards for AI engineering across the team</li></ul>
iM Qualified Because I Have&hellip;<ul><li>
A Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field</li><li>
3+ years of experience in ML/AI engineering or software engineering</li><li>
Hands-on experience building and shipping LLM systems into production</li><li>
Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face</li><li>
Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern generative AI and transformer architectures</li><li>
Demonstrated experience fine-tuning language models and deploying them to production</li><li>
Experience with GPU optimization for training and inference workloads</li><li>
Experience with Kubernetes deployment on cloud infrastructure (Azure, AWS, or GCP) to optimize systems for scalability, latency, performance, and cost efficiency</li><li>
The ability to work collaboratively across teams, communicate with precision, and take ownership from prototype to production</li></ul>
Bonus Points If I Have&hellip;<ul><li>
Experience with distributed training frameworks (e.g., PyTorch Distributed, Ray) and inference optimization tools (e.g., vLLM, SGLang)</li><li>
Experience with agentic engineering, including agent harness and agent memory, and orchestration frameworks such as LangChain, LlamaIndex, or similar tools</li><li>
Experience with knowledge graphs and multimodal LLMs</li><li>
Familiarity with AI/ML observability tools and model lifecycle management best practices</li></ul>
Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your past experience doesn't align perfectly with every qualification we encourage you to apply anyways!
iM Getting To&hellip;<ul><li>
Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture.</li><li>
Have flexible work hours that allow me to balance my &lsquo;me time&rsquo; with my work commitments.</li><li>
Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events.</li><li>
Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols.</li><li>
Own my career path with our internal development framework. Ask us more about this!</li><li>
Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning.</li><li>
Join an innovative, industry leading SaaS company that is continuing to grow &amp; scale!</li></ul>
iManage Is Supporting Me By...<ul><li>
Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.</li><li>
Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.</li><li>
Rewarding me with an annual performance-based bonus.</li><li>
Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.</li><li>
Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.</li><li>
Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.</li><li>
Providing me with a flexible time off policy to take the time off that I need. Be it for vacation, volunteering, celebrating holidays, spending time with family, or simply taking time to recharge and reset.</li><li>
Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more.</li></ul>
The overall US annual base salary range for this position is $130,000&ndash;$170,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.
About iManage&hellip;
iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications.
We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding.
So we&rsquo;re looking for people who love a challenge. People who are happiest when they&rsquo;re solving problems and collaborating with the industry&rsquo;s best and brightest. That&rsquo;s the iManage way. It&rsquo;s how we do things that might appear impossible. How we develop our employees&rsquo; strengths and unlock their potential. How we find meaning in everything we do.
Whoever you are, whatever you do, however you work. Make it mean something at iManage.
iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Learn more at: www.imanage.com
Please see our privacy statement for more information on how we handle your personal data:
https://imanage.com/privacy-policy/
#LI-Hybrid
#LI-RW1
s8WcECcH4I</div>

Senior AI Software Engineer

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 
 
 Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 
 
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 
 
 
 About Our Team
 
 
 
 Lenovo is building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the engineering organization that powers Qira, Lenovo&rsquo;s cross‑device Personal AI.
 
 
 We are hiring a
 
 Machine Learning Engineer
 
 to own the full agentic stack &mdash; from LLM orchestration, tool use, memory, and production deployment on devices.
 
 
 
 Location:
 
 Chicago, IL is highly preferred (Hybrid, 3 days onsite, 2 days remote)
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and ship agentic LLM pipelines: multi-step reasoning, tool use, reflection loops, and long-horizon planning and memory.
 </li>
 <li>
 Build evaluation frameworks to measure agent reliability and safety across different tasks.
 </li>
 <li>
 Build and maintain RAG systems, vector stores, and external tool integrations.
 </li>
 <li>
 Deploy and scale agent systems in production; translate relevant research into working systems.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 5+ years in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization) on devices.
 </li>
 <li>
 Experience in Python and the modern ML stack (PyTorch, Hugging Face, vLLM or equivalent)
 </li>
 <li>
 Proven experience with agentic frameworks (LangGraph, AutoGen, CrewAI, or custom) and tool-use patterns (function calling, MCP, structured outputs)
 </li>
 <li>
 Experience with RAG architecture, embedding models, and LLM evaluation methodology
 </li>
 <li>
 Experience with software engineering fundamentals (python and at least one other programming language).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Rust experience for performance-critical inference or runtime components
 
 
 </li>
 </ul>
 The base salary budgeted range for this position is $145K - $155K. Individuals may also be considered for bonus and/or commission.
 
 
 Lenovo&rsquo;s various benefits can be found on www.lenovobenefits.com.
 
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 
</div>

Machine Learning Engineer

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
The Lead Director, Business Analytics (Medicare Stars Data Intelligence) is a senior leadership role within the Medicare Stars Data Intelligence organization, responsible for advancing enterprise analytics, driving strategic insights, and enabling data-driven decision-making across the business.
This role leads the synthesis of complex, multi-source data into clear, actionable insights to improve Medicare Stars performance and inform executive strategy. The position plays a critical role in aligning analytics with business priorities, strengthening data governance, and accelerating innovation through advanced analytics and emerging capabilities such as AI-enabled insights.<div></div>
Key Responsibilities
Strategic Analytics &amp; Leadership<ul><li>
Lead the development and execution of analytics strategies that support Medicare Stars performance and enterprise priorities</li><li>
Serve as a trusted advisor to senior leadership, delivering insights that directly influence strategic decisions</li><li>
Translate complex analytical findings into compelling executive-level storytelling</li><li>
Proactively identify opportunities to improve performance through advanced analytics and data-driven recommendations</li></ul>
Data Intelligence &amp; Insights Delivery<ul><li>
Oversee the development of reporting, dashboards, and analytical models to track performance and inform decision-making</li><li>
Drive the synthesis of structured and unstructured data into meaningful insights that support strategic planning</li><li>
Ensure timely delivery of high-quality analytics to support forecasting, trend analysis, and scenario modeling</li><li>
Leverage AI agents and advanced tools to enhance the speed and quality of insight generation for executive stakeholders</li></ul>
Cross-Functional Partnership<ul><li>
Partner across Data Science, Product, Operations, and DDAT teams to align data capabilities with business needs</li><li>
Collaborate with stakeholders to define data requirements and ensure alignment with enterprise priorities</li><li>
Influence cross-functional initiatives by embedding analytics into operational workflows</li></ul>
Data Governance &amp; Quality<ul><li>
Ensure adherence to data governance, compliance, privacy, and security standards</li><li>
Establish processes to validate, monitor, and improve data integrity and reliability</li><li>
Provide leadership in defining best practices for analytics, reporting, and data usage</li></ul>
Innovation &amp; Capability Advancement<ul><li>
Drive the adoption of advanced analytics techniques, including AI/ML, to enhance business insights</li><li>
Identify and implement opportunities to modernize analytics tools, processes, and data capabilities</li><li>
Promote a culture of innovation, continuous improvement, and data literacy within the organization</li></ul>
Qualifications
Required<ul><li>
Bachelor&rsquo;s degree in Informatics, Data Science, Business Analytics, or a related field (or equivalent experience)</li><li>
Significant experience in analytics, informatics, or data-driven leadership roles</li><li>
Proven ability to translate complex data into actionable business insights</li><li>
Experience leading cross-functional initiatives and influencing senior stakeholders</li><li>
Strong expertise in data analysis, reporting, and visualization tools (e.g., SQL, Tableau, Python)</li><li>
Experience in healthcare, Medicare Stars and regulated environments</li></ul><ul><li>
Familiarity with CMS Stars measures, forecasting methodologies, and performance frameworks</li><li>
Experience with cloud-based data platforms (e.g., GCP, Azure, Snowflake)</li><li>
Exposure to AI/ML and advanced analytics techniques</li></ul><div></div>
Other Skills<ul><li>
Project Leadership: Ability to lead complex, multi-threaded initiatives from concept through execution</li><li>
Business Analysis: Strong capability to translate business needs into data-driven solutions and insights</li><li>
AI-Enabled Insight Generation: Experience leveraging AI agents to synthesize large datasets into executive-ready insights</li><li>
Complex Data Queries: Advanced proficiency in querying, manipulating, and analyzing large, complex datasets</li></ul><div></div>
Core Competencies<ul><li>
Strategic thinking and executive presence</li><li>
Data storytelling and influence</li><li>
Cross-functional collaboration</li><li>
Analytical rigor and problem solving</li><li>
Execution and accountability</li></ul><div></div>
Impact of the Role
This role is instrumental in shaping how data is leveraged across the organization to drive Medicare Stars performance. By delivering high-impact insights, strengthening data capabilities, and enabling informed decision-making, the Lead Director will directly contribute to improved outcomes, operational efficiency, and enterprise strategy execution.
Pay Range
The typical pay range for this role is:
$100,000.00 - $231,540.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 07/12/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Lead Director, Business Analytics (Medicare Stars Data Intelligence)

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