Explore 2 ai python software engineer jobs from 2 hiring companies in Owatonna, MN, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Ai Python Software Engineer

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Ai Python Software Engineer Jobs

Lockheed Martin

Mayo Clinic

Hybrid

<div><h3>Security Clearance</h3><div>TS/SCI </div><h3>Shift</h3><div>First </div><h3>Direct/Indirect</h3><div>Indirect </div><h3>Business Area</h3><div>Enterprise Operations </div><h3>Department</h3><div>50143:Artificial Intelligence </div><h3>Relocation/Housing Stipend Available</h3><div>No</div><h3>Job Code/Title</h3><div>L9854:A/AI Mch Learn Engnr Asc Mgr </div><h3>Job Class</h3><div>Artificial Intelligence  </div><h3>Job Category</h3><div>Experienced Professional</div><h3>Req Type</h3><div>Full-Time</div><h3>Job Description</h3><div>We are seeking an experienced software engineer and architect to lead a small team to design, develop, integrate, and build an AI red teaming platform.  This role is focused on developing advanced adversarial AI tools and capabilities in support of the Lockheed AI Center (LAIC) Red Team operating across classified and unclassified environments.  This position integrates open source, custom developed, and commercial adversarial AI utilities, provides a unified user interface, and enables automated, repeatable assessments of AI systems across use cases, including: generative/agentic, computer vision, and RF/EW. These AI systems span the deployment spectrum from Lockheed Martin internal enterprise and cloud environments to edge compute platforms.  The position involves both planned project work and rapid adhoc support, with extensive documentation, automation, and occasional travel for field demonstrations.<br><br>Key Responsibilities<br>• Collaborate closely with multiple AI Red Teams to design, architect, and implement adversarial AI capabilities for autonomous agents, computer vision systems, and RF and EW systems, translating state‑of‑the‑art research into production‑ready code.<br>• Lead design, development, and operationalization of enterprise-scale tools for evaluation, automation, and CI/CD integration <br>• Lead and manage small team, task management, project management, and personnel management to achieve the overall teams objectives.<br>• Design and build a modular, extensible red‑teaming framework that enables repeatable, user‑driven evaluations.<br>• Design user-facing interfaces and workflows (CLI, web UI, APIs, CI/CD pipelines) and documentation to enable internal and future third-party users to execute red team activities with minimal subject matter expertise.<br>• Integrate open‑source, commercial, and inner-source solutions into a cohesive platform, handling packaging, versioning, release, dependency management, and maintenance.<br>• Develop and maintain CI/CD pipelines (GitLab, Azure DevOps, or equivalent) with automated testing, security scans, and deployment to cloud and containerized/VM‑based environments.<br>• Coordinate with Infrastructure Operations (InfraOps) stakeholders for virtualized, containerized, and cloud-based Linux environments, including configuration, orchestration, DISA STIG compliance, and lifecycle maintenance.<br>• Implement observability (structured logging, metrics, dashboards) using Splunk, Prometheus, Grafana, LangFuse, OpenTelemetry, and ensure full traceability for debugging, performance analysis, operational reliability, and audit.<br>• Develop GPU-enabled software workloads (NVIDIA drivers, CUDA, container runtimes) and continuously optimize performance and stability.<br>• Champion secure development practices – embed threat modeling, code reviews, and DevSecOps controls throughout the software lifecycle.<br>• Coordinate development and deployment activities across classified (on-site) and unclassified (remote) environments while ensuring secure and reliable operations.<br><br><br>What’s In It For You<br>From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.<br>Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.<br><br><br>This position is a hybrid role with mostly remote work, however due to the need for occasional onsite work the candidate will need to be near a major Lockheed Martin site such as Moorestown NJ, Dallas TX, or Orlando FL.<br><br>#LMLAIC</div><h3>Basic Qualifications</h3><div>• Experience in developing and delivering software products for enterprise or market deployment.<br>• Hands-on engineering experience with building tools, frameworks, and automation integrated with GitLab, cloud, DevSecOps, or CI/CD pipelines.<br>• Demonstrated experience containerizing applications (i.e., Docker, Podman) and deploying them to scaled Kubernetes/OpenShift environments via infrastructure-as-code (e.g., Ansible, Helm).<br>• Demonstrated ability to author high‑quality documentation (design specs, runbooks, API guides).<br>• Experience developing microservices (preference for Python).<br>• Familiarity with AI security or adversarial ML.</div><h3>Desired skills</h3><div>• Demonstrated experience in systems engineering, software architecture and design, test-driven development, and collaborative reviews.<br>• Experience leading and managing a team of personnel to achieve organizational objectives.<br>• Experience in project and task management.<br>• Demonstrated experience applying secure-coding best practices, STIGs, vulnerability remediation, or automated CI/CD security testing.<br>• Experience building AI agents using frameworks (e.g., CrewAI, AutoGen, LangChain/LangGraph).<br>• Experience working with vector databases (e.g., AWS OpenSearch, Weaviate).<br>• Experience with modern web frameworks (e.g., React, NextJS).<br>• Experience working with deep learning frameworks (e.g., PyTorch, TensorFlow).<br>• Experience with the Lockheed Martin AI Factory platforms (i.e., Panel, Genesis, Navigator).<br>• Experience with adversarial machine-learning, AI security research, and implementation.<br>• Experience administering Splunk and dashboards/alerts with Prometheus & Grafana.<br>• Experience using LangFuse and OpenTelemetry for traceability and observability.<br>• Experience with virtualization/hosting platforms (VMware, Hyper V, KVM) and secure remote access workflows.<br>• Familiarity with GPU compute ecosystems (NVIDIA drivers, CUDA, container runtimes) and performance profiling.<br>• Ability to work effectively across classified and unclassified environments, adhering to all applicable security policies.<br>• Current DoD 8570 baseline certification (IAT II or higher).</div><h3>State</h3><div>Colorado, Florida, Minnesota, New Jersey, Pennsylvania, Texas</div><h3>Virtual</h3><div>no</div><h3>City</h3><div>COLORADO SPRINGS, Dallas, Eagan, King of Prussia, Moorestown, Orlando</div><h3>Zip</h3><div>08057, 19406, 32825, 55121, 75261, 80915</div><h3>EEO</h3><div><strong>Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.</strong><br><strong>The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.</strong></div><h3>*</h3><div>At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. <br> <br>With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.<br><br>If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on <a href="https://www.lockheedmartinjobs.com/">Lockheed Martin Jobs</a>, and apply for roles that align with your qualifications.</div><h3>City, State</h3><div>Colorado Springs-CO, Dallas-TX, Eagan-MN, King of Prussia-PA, Moorestown-NJ, Orlando-FL</div><h3>Ability to Telecommute</h3><div>Part time telecommuting</div><h3>Other Important Information</h3><div>By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.  Should this match be identified you may be contacted for this and future openings.</div><h3>Ability to work remotely</h3><div>Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.</div><h3>Work Schedule Information</h3><div>Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees.  Schedules range from standard 40 hours over a five day work week while others may be condensed.  These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.</div><h3>Security Clearance Information</h3><div>This position requires a government security clearance, you must be a US Citizen for consideration.</div><h3>Work Schedule</h3><div>4x10 hour day, 3 days off per week </div><h3>Select the Telework classification for this position</h3><div>Employee will telework > = 50% </div><h3>National Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $132,900  - $234,370. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. <br>(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.<br>This position is incentive plan eligible.</div><h3>Premium Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $152,900  - $264,960. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.<br>This position is incentive plan eligible.</div></div>

Adversarial AI Software Engineer Associate Manager

Software Engineer

Leadership experience delivering enterprise AI tools, CI/CD pipelines, containerization, and secure development practices.

<p>AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external partners, to develop and deploy effective, efficient, and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency.<br>&nbsp;</p><p>As a Senior AI/ML Engineer, you may work on the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well, including workflows, challenges, and requirements of healthcare providers and patients. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop AI solutions that meet clinical needs and are integrated smoothly into clinical processes. You will develop, integrate, and standardize software components and create, maintain, and follow quality system procedures. You will guide the engineering of systems that are pivotal to developing and deploying these solutions, which encompass everything from design requirements, development, component creation, verification, non-clinical validation, and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and setting new benchmarks for safety and effectiveness in clinical settings. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.&nbsp;<br>This role is instrumental in providing consultative services to departments and divisions, offering insights into complex business problems. Your ability to communicate complex findings in easily understandable terms to non-technical users will bridge the gap between sophisticated AI technologies and clinical applications.</p><p>•&nbsp;&nbsp;&nbsp;Leading component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations.<br>•&nbsp;&nbsp;&nbsp;Collaborating with a multidisciplinary team, including clinicians, user experience designers, product managers, and IT professionals, to understand user needs, workflows, and clinical requirements and assess feasibility. Translating user feedback and requirements into design concepts and usability specifications for AI solutions.<br>•&nbsp;&nbsp;&nbsp;Leveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to lead the design, development, and deployment of end-to-end AI solutions for healthcare applications.<br>•&nbsp;&nbsp;&nbsp;Establishing evaluation methodologies and performance metrics to assess AI solutions' effectiveness, usability, and impact in real-world healthcare settings.<br>•&nbsp;&nbsp;&nbsp;Explaining data analysis results to guide strategic choices and clarify complex insights for non-technical users to connect AI technologies and clinical applications.&nbsp;<br>•&nbsp;&nbsp;&nbsp;Overseeing the engineering of systems crucial for developing and deploying AI solutions.<br>•&nbsp;&nbsp;&nbsp;Facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.<br>•&nbsp;&nbsp;&nbsp;Contributing to implementing the best practices and standards for AI development and deployment methodologies, tools, and platforms.<br>•&nbsp;&nbsp;&nbsp;Providing mentorship, guidance, and technical leadership to junior engineers within the AI enablement team.&nbsp;<br>•&nbsp;&nbsp;&nbsp;Providing consultative services on areas of expertise to clinical work units or AI product teams, offering insights and strategies to address complex business problems.<br>•&nbsp;&nbsp;&nbsp;Providing training and education to healthcare staff on AI tools and technologies.<br>•&nbsp;&nbsp;&nbsp;Contributing to developing new AI methods and technologies that can advance the state-of-the-art in healthcare AI.&nbsp;</p><p><strong>This position is a combination of remote and on-site work; individual must live within driving distance to the Rochester Mayo Clinic campus.</strong></p><p><strong>**Visa sponsorship is not available for this position. &nbsp;Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.</strong><br><br>&nbsp;</p><h3>Qualifications</h3><div><p>• &nbsp; A master’s degree in engineering, computer science, mathematics, health science, or a related field with 4 years of experience, a bachelor’s degree with 6 years of experience.&nbsp;<br/>• &nbsp; Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology.<br/>• &nbsp; Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes.<br/>• &nbsp; Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.<br/>• &nbsp; Demonstrated expertise in cloud infrastructure environment and software development tools.<br/>• &nbsp; Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.&nbsp;<br/>• &nbsp; Skilled in AI/ML techniques and frameworks.<br/>• &nbsp; Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.<br/>• &nbsp; Demonstrated initiative in administration, education, software development, and technical reporting.&nbsp;<br/>• &nbsp; A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills.</p>
<p><br/>Preferred Qualifications:&nbsp;<br/>• &nbsp; A Ph.D. or other doctorate is preferred.&nbsp;<br/>• &nbsp; Strong expertise in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn, Keras, etc.<br/>• &nbsp; Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards.<br/>• &nbsp; Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios.<br/>• &nbsp; Demonstrated experience leading technical/quantitative teams in a regulated environment.<br/>• &nbsp; Demonstrated experience creating risk management files and verification/validation strategies for digital health technology products within the healthcare industry.<br/>• &nbsp; Strong expertise in user-centered design, human factors engineering, usability testing methodologies, and evaluation across AI product development. Ability to conduct expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice.<br/><br/>&nbsp;</p></div><h3>About Company</h3><div><div>
 Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.&nbsp;<a href="https://jobs.mayoclinic.org/alllocations" target="_blank" rel="nofollow">Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</a>&nbsp;
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  <b>Equal Opportunity</b>
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  <br/>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the&nbsp;<a href="https://www.eeoc.gov/poster" target="_blank">"EOE is the Law"</a>.&nbsp; Mayo Clinic participates in&nbsp;<a href="https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf" target="_blank">E-Verify</a>&nbsp;and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
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</div></div><h2>Company</h2><div><div>
 <b>Why Mayo Clinic</b>
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 <br/> Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News &amp; World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and&nbsp;<a href="https://jobs.mayoclinic.org/benefits/" target="_blank" rel="nofollow">comprehensive benefit plans</a>&nbsp;– to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
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 <b>Benefits Highlights</b> <br/> 
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  <li>Medical:&nbsp;Multiple plan options.</li>
  <li>Dental:&nbsp;Delta Dental or reimbursement account for flexible coverage.</li>
  <li>Vision:&nbsp;Affordable plan with national network.</li>
  <li>Pre-Tax Savings:&nbsp;HSA and FSAs for eligible expenses.</li>
  <li>Retirement: Competitive retirement package to secure your future.</li>
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Senior AI-ML Engineer

Master’s in engineering/CS/math with 4+ years, or Bachelor’s with 6+ years; extensive AI/ML in healthcare or regulated industries; leadership; cloud, data, and AI engineering expertise; mentoring.

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Ai Python Software Engineer Jobs in Owatonna, MN, US

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