22 jobs found

Software Solutions Architect Direct hire Hybrid - Dublin, OH or Orlando, FL JOB SUMMARY An Software Architect is a senior technical leader who shapes and drives the architecture of commercial technologies across the company and is influential across multiple engineering teams. They are a hands-on technologist who leads by example and coaches engineers in modern, AI-augmented engineering practices. They are an expert at designing all layers of an application and platform, and they pioneer the use of Agentic AI for architecture, technical design, and implementation-using AI agents to accelerate solution design, generate and review code, evaluate trade-offs, and automate repetitive engineering tasks. They work in an Agile development environment architecting, designing, leading, and delivering technology solutions to transform healthcare into a safer and more cost-effective industry. They are expected to be highly in-tune with industry best practices, emerging AI tooling, technologies, processes, and techniques, and can provide leadership to multiple teams on how to apply them pragmatically to solve business problems. ESSENTIAL DUTIES & RESPONSIBILITIES Software Development • Set organization-wide standards for software structure, maintainability, and quality, including standards for the responsible use of Agentic AI in implementation. • Excels in meeting both explicit and implicit user needs. • Act as a thought leader in software engineering and AI-augmented development-designing prompts, guardrails, and agent workflows that accelerate delivery without compromising quality. • Teach others to solve problems using multiple languages, technologies, software tools, and AI coding agents. • Serve as subject matter expert (SME) in several technologies critical to the organization and contribute to setting organizational standards in technology, methodology, and Agentic AI tooling. Testing & Quality Assurance • Master of comprehensive testing strategies that include microservices architecture, API contract testing, and end-to-end workflows. • Apply Agentic AI to author, expand, and maintain test suites, generate edge-case scenarios, and triage failures. • Provide organizational guidance on testing best practices, including test automation, CI/CD integration, AI-assisted quality engineering, and metrics tracking. Data Management • Partner with other expertise sets to provide prescriptive and anticipatory intelligence. • Design solutions that efficiently interact with advanced machine learning tools, generative AI services, and cloud-based data services. • Architect data flows that power Agentic AI use cases (retrieval, grounding, evaluation). • Set organizational best practices for data management and is considered a Subject Matter Expert. Infrastructure & Integrations • Mastery of cloud architecture, designing and guiding the implementation and adoption of cloud-native solutions across the organization. • Set best practices for cloud service utilization, data migration, complex system integration strategies, and the deployment of AI agents and LLM-backed services. • Provide technical direction and governance on advanced infrastructure and integrations including resource optimization and AI workload cost management. Operations • Review analytics to understand user behavior and identify trends in operational metrics to suggest architectural changes. • Define organizational strategies for operations, including AI-assisted observability, incident response, and self-healing systems. • Subject Matter Expert in operational best practices, tools, and techniques. • Understand business impact at a macro level and advocate for protecting company reputation. Security & Compliance • Direct teams in multi-stage threat mitigation and secure coding practices, including secure use of Agentic AI (prompt injection defense, model output validation, data governance for AI agents). • Develop tools to mediate security holes and offer advanced regulatory compliance guidance, especially as it relates to AI in regulated healthcare contexts (HIPAA, HITRUST). • Set the standard for security and compliance within the organization. Product & User Experience • Shape the organization's user-centric direction and champion seamless experiences, including AI-native interactions where appropriate. • Define user interaction patterns for multiple products, fostering consistent experiences. • Demonstrate deep expertise in user-facing technologies, advocating for best practices and innovations. • Lead in prioritizing and addressing tech and design debt across the platform. Requirements & Design • Set industry standards in crafting functional and non-functional requirements. • Orchestrate complex system architectures. • Fully understand the path of data. • Manage the balance of engineering future and current needs. • Set best practices and anti-patterns for the organization. • Apply Agentic AI to accelerate architecture work-generating design alternatives, evaluating trade-offs, producing ADRs, and reviewing designs against established patterns and constraints. KNOWLEDGE & REQUIREMENTS • Highly motivated, self-learner, and technically inquisitive, with a strong bias toward applying emerging AI tooling to engineering problems. • Significant experience creating architecture for complex distributed systems and leading teams through development of those systems. • Hands-on experience using Agentic AI for architecture, technical design, and implementation (e.g., AI coding agents, design copilots, automated code review, RAG-based design assistants). • Capable of leading and/or participating in business, culture, technical, and practice initiatives that support continuous improvement across the organization, including driving adoption of AI-augmented engineering workflows. • Excellent track record of collaborating with stakeholders. Experience proposing new product offerings and contributing to company-wide strategies using industry knowledge and foresight. • Negotiates complex or risky technical business issues on behalf of the company. • Consults with management to determine project objectives with long-term implications. • Experience leading technical due diligence and road mapping for strategic partnerships, third-party partners, mergers, and acquisitions. • Effective communication and leadership capabilities: capable of communicating strategy and influencing others to align to future state architecture. • Expert level experience with multiple client-side and server-side programming languages (Java with Spring Boot, JavaScript React experience preferred). • Expert level experience developing, deploying, and supporting REST services and microservices. • Expert level experience with container orchestration platforms and cloud-native architectures; ability to design and lead adoption of cloud services across major cloud providers regardless of specific platform. • Working knowledge of LLM-backed services, prompt engineering, agent frameworks, evaluation harnesses, and the governance considerations that come with them. • Significant experience with relational databases, non-relational databases, messaging systems, and event-driven architecture patterns. • Expert level experience with containerization technologies and container-based deployment strategies. • Deep expertise in infrastructure as code (IaC) practices to enable repeatable, auditable, and scalable infrastructure. • Strong command of service mesh and API gateway patterns for securing and managing microservices at scale. • Experience with GitOps and modern continuous delivery practices for cloud-native platforms. • Capable of joining a team to lead initiatives and create software to solve challenging problems. EDUCATION & EXPERIENCE REQUIREMENTS • Minimum years of work experience: 8+ years (including demonstrated experience leveraging Agentic AI for architecture, technical design, and implementation) • Minimum level of education or education/experience: Bachelor's or Advanced Degree in related field or equivalent work experience Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions) . click apply for full job details

Our Team Dandelion Health was founded in 2020 by experts in health tech, hospital systems, academia, and clinical AI. We are building the world's largest AI training and clinical development platform. Today, we pride ourselves on our ability to make data access as easy as possible for AI developers, pharma, and medical devices, while raising the bar for patient safety and data quality. Tomorrow, we will be the place where any healthcare organization can go to build a responsible clinical AI product. Our culture is all about learning from data and improving, so we can help our clients improve health through AI. Meet the rest of our team here. Our Data We partner with health systems to safely and ethically make their de-identified patient data available to AI developers. Currently, the data is acquired from Sharp HealthCare, Sanford Health, and Texas Health Resources - with two additional U.S. health systems joining soon. We have clinical data dating back to July 1, 2016. This data represents over 10 million patients and includes but is not limited to: Structured data (e.g., 100% of the EMR, including some claims) Unstructured text (e.g., clinical notes, radiology reports) Images (e.g., DICOM, pathology) Video Waveforms Continuous streaming monitoring data Your Role You are a healthcare data scientist who knows your way around clinical and electronic health record data. Your primary responsibility is to partner collaboratively with our clients to develop data science solutions and analyze AI-ready datasets to provide key insights using multimodal data. You will curate datasets by identifying patient subpopulations or disease cohorts, and pool multimodal data to drive rapid exploratory AI/ML and Real-World Evidence analyses, model experimentation, and/or model validation. You will lead analytics research from inception to closeout by having ownership over study design, data curation strategies, effort estimation, analytic design, and delivery of final results. You will use your data expertise, programming abilities, and critical thinking skills to support our clients by designing and delivering solutions to help them tackle a broad range of business challenges. Your team's ultimate goal is to deliver the highest-quality data possible to our clients, who are building products that improve patient health, and demonstrate the value of these data. You will report to the Research Data Science Manager. Responsibilities Your day-to-day responsibilities will include the following: Collaborate with clients to develop creative analytic solutions that create value and address challenges across critical areas of their business. Design statistical analysis plans for evidence generation projects that include methodology, results structure, expected outputs and dataset requirements; Query complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data elements in order to create high-quality datasets for analytic and AI use cases; Develop descriptive analyses and in-depth predictive and causal inference models to drive evidence generation on Dandelion data and enhance existing data products; Summarize the methods and results from projects into clear explanations and documentation for internal and external audiences including for submission to conferences and peer-reviewed publications; Support all phases of SQL/analytical programming, data management, quality control, and reporting for analytics projects; Develop code and documentation to deliver high-quality and HIPAA-compliant data products on time to internal and external customers; Create summarized findings and recommendations that are clearly presented and adapted for audiences that have a varying range of technical and clinical experience; Identify and resolve problems using your knowledge, background, and troubleshooting skills; Ensure accuracy, data integrity, and validity of data and analysis in all work; Present to senior leadership as well external audiences You are not afraid to dig into massive, confusing, disorganized new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions and everyone pitches in across the team. Qualifications M.S. or PhD degree in a relevant field, such as Biomedical Informatics, Data Science, Biostatistics, or B.S. with at least seven years of experience Experience in client interaction, crafting project proposals, and leading teams. Background in statistical modeling and real-world data analysis Fluency in Python and SQL 1+ years experience with extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem (e.g., EMR, claims, registry); this may include knowledge of the roles of data exchange and content standards (e.g., FHIR, CDA, CQL) and clinical terminology standards (e.g., ICD, CPT, LOINC, SNOMED-CT, NDC, RxNorm) Strong technical writing, editing, and communication skills along with a collaborative, client-first mindset Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines Experience working in or with startups is a plus Technology Experiences and Skills We don't expect anyone to have all of the following skills or experiences, but we do seek candidates who are interested in growing their skill sets and working with healthcare data in all its glorious complexity. The Data Team works closely with our Engineering Team to put our work into production and meet client needs. SQL Python and/or R Git and version control Familiarity with encryption methods and writing regular expressions Prior experience querying EDWs or databases and creating reports or analytics for healthcare data Familiarity with the data aspects of electronic medical records, ex. Epic, Cerner, Allscripts Prior experience working with insurance claims data Familiarity with medical terminologies or controlled vocabularies such as ICD-10, SNOMED-CT, LOINC, CPT/HCPCS, NDC, and RxNorm Any medical ontology experience Any NLP experience Any experience working with DICOM or other imaging modalities Experience with OMOP common data model Familiarity with Machine Learning concepts Experience with AWS Note that familiarity with machine learning model development and deployment is not required for this position, but familiarity with high-level ML concepts is a plus. Nature of our work Our work is fast paced and iterative. We are growing, and we want to support our team members to grow in their skills as well. We are building a team that approaches problems with a diversity of perspectives, values experimentation, and refining our approach based on that experimentation. We work with the full spectrum of healthcare data from tabular data, videos, images, waveforms, etc. If a health system collects it, we might work with it! If this looks like a partial fit, please reach out, we would love to share more about the work we do for you to understand if it would be a good fit for you. There is occasional travel for in-person company working days on roughly a quarterly basis. Team Benefits Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details Professional development days to build your skills Collegial work environment Academic bent towards inquiry and problem solving but start-up speed and flexibility Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively Dandelion is a mission-driven company that is focused on improving patient care

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. This is a hands-on technical role for a security-minded software developer who understands how applications are designed, written, deployed, and operated. You will partner directly with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, shared services, and automated controls that help teams deliver products faster and more securely. The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation. What You'll Do: Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture Basic Requirements: Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools Preferred Skills and Experience: Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001 Ability to translate complex security requirements and technical risks into practical guidance for development teams Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $140,300 - $233,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. This is a hands-on technical role for a security-minded software developer who understands how applications are designed, written, deployed, and operated. You will partner directly with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, shared services, and automated controls that help teams deliver products faster and more securely. The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation. What You'll Do: Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture Basic Requirements: Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools Preferred Skills and Experience: Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001 Ability to translate complex security requirements and technical risks into practical guidance for development teams Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $140,300 - $233,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. This is a hands-on technical role for a security-minded software developer who understands how applications are designed, written, deployed, and operated. You will partner directly with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, shared services, and automated controls that help teams deliver products faster and more securely. The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation. What You'll Do: Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture Basic Requirements: Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools Preferred Skills and Experience: Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001 Ability to translate complex security requirements and technical risks into practical guidance for development teams Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $140,300 - $233,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. This is a hands-on technical role for a security-minded software developer who understands how applications are designed, written, deployed, and operated. You will partner directly with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, shared services, and automated controls that help teams deliver products faster and more securely. The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation. What You'll Do: Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture Basic Requirements: Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools Preferred Skills and Experience: Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001 Ability to translate complex security requirements and technical risks into practical guidance for development teams Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $140,300 - $233,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. This is a hands-on technical role for a security-minded software developer who understands how applications are designed, written, deployed, and operated. You will partner directly with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, shared services, and automated controls that help teams deliver products faster and more securely. The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation. What You'll Do: Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture Basic Requirements: Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools Preferred Skills and Experience: Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001 Ability to translate complex security requirements and technical risks into practical guidance for development teams Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $140,300 - $233,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Summary The Senior Data Integration Engineer is responsible for the design, development, and operation of the data integration and ingestion processes that deliver partner and internal data into our analytics environment. The role owns the flow of data from source acquisition through the curated data warehouse tables consumed by reporting platforms, operational systems, and business analysts. This is a senior, hands-on engineering position spanning the full integration lifecycle: acquiring data from a wide range of external partner and internal systems, validating and conditioning that data on arrival, transforming it into the structures that support analysis and operations, and operating those processes reliably in production. The role is concerned equally with building new integrations and with the continued performance, accuracy, and timeliness of those already in service. A central objective of the position is to advance reusable, well-instrumented integration patterns that shorten the time required to onboard new data sources and that improve the reliability and transparency of data delivery to the business. The Senior Data Integration Engineer will also contribute substantially to the planned modernization of our data platform, evaluating and recommending tooling, architecture, and migration approach for leadership consideration. The role sets technical direction and development standards for data integration work and collaborates closely with data architects, business analysts, stakeholders across the organization, and the technical contacts of our external data partners. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, develop, and maintain data integration processes that acquire data from partner and internal sources, including flat file transfers over SFTP, REST API endpoints, and direct database connections. Develop reusable, configuration-driven ingestion patterns that reduce the effort and elapsed time required to onboard new partner data feeds. Develop and maintain the T-SQL transformation logic that carries data from landing and staging layers through to the curated warehouse tables supporting reporting, operational systems, and analyst queries. Design ingestion processes to be idempotent and safely re-runnable, incorporating automated retry and restart behavior for failed executions. Implement automated validation and quarantine processes so that records failing business-defined quality rules are isolated, reported, and prevented from reaching downstream consumers. Implement data quality rules defined by the business, including schema validation, reconciliation, row count and threshold checks, and anomaly detection. Establish monitoring, logging, and alerting for pipeline execution state, data freshness, and load completion, and automate the communication of ingestion status to stakeholders. Diagnose and resolve production data incidents, determine root cause, coordinate remediation, and document preventive measures through runbooks and post-incident review. Contribute to dimensional data model design in collaboration with the data architect and senior team members. Establish and maintain version control, code review, and repeatable deployment practices for database and pipeline code. Define and uphold development standards for data integration work through code review and technical guidance. Evaluate and recommend tooling, architecture, and sequencing for the platform modernization effort for leadership consideration. Migrate established integration workflows to modernized patterns incrementally and without disruption to production operations. Maintain documentation of data feeds, dependencies, lineage, ownership, and escalation paths. Perform all work involving protected health information in accordance with HIPAA requirements, including least-privilege access, secure transmission and storage of partner data, and the exclusion of PHI from logs and non-production environments. Coordinate with partner technical contacts, as needed, to resolve file format, schema, and connectivity questions. Provide occasional off-hours support for critical data load failures or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires six (6) or more years of professional data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Advanced T-SQL development skills, including: Set-based rewriting of row-by-row and cursor-based logic. MERGE, upsert, and slowly changing dimension load patterns. Window functions and complex analytic queries. Execution plan analysis, index strategy, statistics management, and resolution of performance issues such as parameter sniffing. Transaction management and structured error handling within stored procedures, including correct rollback behavior on partial failure. Demonstrated proficiency in Python for data engineering applications, including API-based data acquisition, file parsing and format handling, data validation, and the development of packaged, scheduled jobs. Familiarity with common data libraries such as requests and pandas is expected. Demonstrated experience acquiring and integrating data from heterogeneous sources, including delimited, fixed-width, JSON, and XML file formats; REST APIs requiring authentication, pagination, and rate-limit handling; and direct database connectivity. Proficiency with Git and collaborative development workflows, including branching, pull requests, and code review. A code-first development approach, with integration logic authored and maintained in T-SQL and Python under source control. Ability to analyze pipeline and query performance and to improve the reliability, scalability, and cost efficiency of data workloads. Strong written communication skills, with the ability to produce runbooks, technical documentation, and incident reports, and to convey the business impact of technical issues to non-technical stakeholders. Strong problem-solving skills, attention to detail, and demonstrated ownership of production systems. Experience with Microsoft Azure data services such as Azure Data Factory or Microsoft Fabric, or comparable cloud orchestration platforms. Experience migrating on-premises SQL Server integration workloads to a cloud platform. Experience with dimensional modeling and data warehouse design. Experience designing and rationalizing SQL Server Agent job dependencies and scheduling. Experience establishing version control, code review, and repeatable deployment practices for database code. Experience implementing CI/CD pipelines for database projects. Experience handling protected health information under HIPAA, or comparably regulated data under an equivalent framework preferred. Experience with healthcare or pharmacy data, including claims, eligibility, prescription, or delivery data preferred. Familiarity with data governance, metadata management, and data lineage practices. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. . click apply for full job details

About Trackonomy Trackonomy is pioneering a transformative network of interconnected objects. Our goal is to bring inanimate objects to life, enabling them to communicate, think, and interact in real time. We are building the operating system for the connected world-one object and sensor at a time. Our customers span logistics, industrial, utilities, healthcare, and government sectors, using our solutions for predictive maintenance, workflow optimization, asset protection, safety, security, and environmental monitoring. Backed by leading investors including Kleiner Perkins and 8VC, Trackonomy is one of Silicon Valley's fastest-growing IoT companies. Our executive leadership team has worked together for more than two decades, holding key leadership positions at companies including Flextronics, Heptagon, GT-Nexus, and Digital Motors Corporation. Together, they have engineered breakthrough technology that is delivering extraordinary results for customers around the world. Are you ready to be part of the next chapter in Silicon Valley's hyper-growth IoT success story? The Role You will be a core engineer on our early-stage team. We work on everything from machine learning and security to high-performance computing, IoT devices, and dynamic web applications. Don't be surprised if you have the opportunity to touch nearly every system while working here, often collaborating with teammates on critical initiatives. Candidates must be comfortable working with microcontrollers and low-level hardware control in a test-driven development environment. The ideal candidate will have experience working with wireless communications modules, IoT technologies, RF protocols, and strong troubleshooting and prototyping skills. Experience Bachelor's or Master's degree in Electronics Engineering At least 6+ years of embedded software development with emphasis on C/C++ Background in real-time embedded systems Extensive work in firmware development, testing, and system-level bring-up and debugging Skilled in bench modifications and rapid prototyping of hardware/firmware solutions Strong interpersonal, organizational, and communication skills Effective collaborator who shares knowledge, learns from others, and supports cross-functional teams Self-starter with strong motivation and ownership mentality Preferred Skills Background in IoT systems and wireless/wired communication protocols, including BLE, LoRa, and LoRaWAN Skilled in firmware development on ARM-based microcontrollers and processors; familiarity with Nordic devices is a plus Knowledge of cellular protocols such as LTE, LTE-M/NB-IoT, and industrial wireless electronics Hands-on work with cellular modems and GPS/GNSS systems Ability to develop device drivers for sensors and communication modems Strong understanding of subsystem interfaces such as UART, I2C, SPI, and other standard chip-level protocols Proficiency in low-power embedded development, including performing power profiling on target devices Knowledge of firmware development best practices including testing, documentation, debugging, and code review Understanding of PCB design using schematic capture and layout tools (Eagle/Altium preferred) Capability to design bootloaders and implement firmware-over-the-air updates Familiarity with scripting languages (Python preferred) Ability to read and interpret complex electrical schematics Strong foundation in microcontrollers and embedded peripheral driver development Knowledge of embedded networking protocols such as RSTP, PTP, LLDP, and UDP/TCP is a plus Why Trackonomy? Meaningful Impact Trackonomy is dedicated to building technology that solves real-world problems. From fire prevention and environmental monitoring to safety, security, and operational efficiency, our innovations help organizations protect assets, improve outcomes, and save lives. Growth & Development At Trackonomy, your growth is driven by your capabilities, passion, ownership, and results. As part of an early-stage, high-growth company, you will have opportunities to take on diverse responsibilities, learn directly from experienced leaders, and expand your role as your impact grows. We believe talent and execution matter more than hierarchy. Team members are encouraged to explore new challenges, collaborate across functions, and continuously develop new skills. Ownership & Collaboration Our culture isn't something you join-it's something you help build. Every employee plays a meaningful role in our success and contributes to shaping our products, processes, and future. We value collaboration, knowledge sharing, accountability, and a strong sense of ownership. Benefits & Rewards Trackonomy understands that personal wellness is critical to a happy, healthy, and productive work environment. We offer: Platinum-level health benefits Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) Commuter benefits Employee Assistance Program (EAP) 401(k) plan Pre-IPO equity opportunity Regular performance reviews and feedback Learning and development opportunities for both individual contributors and aspiring leaders Equal Opportunity Employer Trackonomy Systems is proud to provide equal employment opportunities to all individuals regardless of race, color, religion, national origin, ancestry, physical or mental disability, sex, gender, gender identity, gender expression, sexual orientation, age, medical condition, genetic information, marital or registered domestic partnership status, military or veteran status, or any other characteristic protected by applicable law. We strive to provide a stellar experience throughout the application process and ensure all applicants receive fair consideration based solely on merit and business needs. The salary range for this role is $140,000 to $200,000, plus bonuses and Pre-IPO equity. It is uncommon for anyone to be hired at or near the top of the range. Final compensation is based on several factors, including skills, experience, training, business needs, cultural fit, level, and location. Trackonomy Systems is dedicated to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need assistance or accommodation during the interview process, please contact . When you apply to a job on this site, you acknowledge and agree that the personal data contained in your application will be collected and processed by Trackonomy Systems, Inc. and/or one of its subsidiaries ("Trackonomy") in accordance with our Applicant Privacy Notice. If you have any questions about our privacy practices, please contact .

Pfizer Oncology is building an AI-first R&D engine where artificial intelligence is a foundational capability shaping how medicines are discovered, developed, and delivered to patients. We are seeking a Scientific AI Engineer to design and build end-to-end AI solutions that directly impact Oncology R&D decision-making. This role sits at the intersection of deep scientific understanding and hands on AI engineering, translating complex biological, translational, and clinical questions into applied AI solutions. In this role, you will partner closely with Oncology scientists, clinicians, and product leaders to prototype, iterate, and deliver AI enabled insights, with a strong emphasis on speed, scientific rigor, and real-world usability. Key Responsibilities Design, develop, and prototype AI/ML solutions addressing Oncology discovery, translational, and clinical development challenges. Apply advanced analytical and machine learning methods to multimodal datasets (e.g., molecular, clinical, real-world, literature). Own solutions end-to-end, from problem framing and data exploration through model development and user facing outputs. Collaborate closely with domain experts to ensure solutions are scientifically grounded and decision relevant. Rapidly iterate on prototypes based on user feedback and evolving scientific needs. Contribute technical expertise to solution design discussions led by the Oncology AI Product & Engineering Lead. Document methods, assumptions, and limitations to support transparency and responsible AI practices. Basic Qualifications Bachelor's degree and 6+ years of relevant work experience OR Master's degree and 5+ years of experience OR PhD and 1+ years of experience. Advanced degree in computational biology, data science, machine learning, engineering, or related field strongly preferred. Demonstrated experience building applied AI/ML solutions in life sciences, healthcare, or advanced analytics environments. Strong hands-on programming skills (e.g., Python) and experience working with data pipelines and ML frameworks. Solid understanding of Oncology biology, translational science, or clinical development workflows. Ability to operate independently in ambiguous problem spaces and deliver working prototypes. Preferred Qualifications Experience in pharma, biotech, or AI driven health technology startups. Familiarity with prototyping approaches for AI products rather than long cycle production systems. Experience working with large, heterogeneous datasets common to Oncology R&D. The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits (). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers. Information & Business Tech

Pfizer Oncology is building an AI-first R&D engine where artificial intelligence is a foundational capability shaping how medicines are discovered, developed, and delivered to patients. We are seeking a Scientific AI Engineer to design and build end-to-end AI solutions that directly impact Oncology R&D decision-making. This role sits at the intersection of deep scientific understanding and hands on AI engineering, translating complex biological, translational, and clinical questions into applied AI solutions. In this role, you will partner closely with Oncology scientists, clinicians, and product leaders to prototype, iterate, and deliver AI enabled insights, with a strong emphasis on speed, scientific rigor, and real-world usability. Key Responsibilities Design, develop, and prototype AI/ML solutions addressing Oncology discovery, translational, and clinical development challenges. Apply advanced analytical and machine learning methods to multimodal datasets (e.g., molecular, clinical, real-world, literature). Own solutions end-to-end, from problem framing and data exploration through model development and user facing outputs. Collaborate closely with domain experts to ensure solutions are scientifically grounded and decision relevant. Rapidly iterate on prototypes based on user feedback and evolving scientific needs. Contribute technical expertise to solution design discussions led by the Oncology AI Product & Engineering Lead. Document methods, assumptions, and limitations to support transparency and responsible AI practices. Basic Qualifications Bachelor's degree and 6+ years of relevant work experience OR Master's degree and 5+ years of experience OR PhD and 1+ years of experience. Advanced degree in computational biology, data science, machine learning, engineering, or related field strongly preferred. Demonstrated experience building applied AI/ML solutions in life sciences, healthcare, or advanced analytics environments. Strong hands-on programming skills (e.g., Python) and experience working with data pipelines and ML frameworks. Solid understanding of Oncology biology, translational science, or clinical development workflows. Ability to operate independently in ambiguous problem spaces and deliver working prototypes. Preferred Qualifications Experience in pharma, biotech, or AI driven health technology startups. Familiarity with prototyping approaches for AI products rather than long cycle production systems. Experience working with large, heterogeneous datasets common to Oncology R&D. The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits (). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers. Information & Business Tech

Pfizer Oncology is building an AI-first R&D engine where artificial intelligence is a foundational capability shaping how medicines are discovered, developed, and delivered to patients. We are seeking a Scientific AI Engineer to design and build end-to-end AI solutions that directly impact Oncology R&D decision-making. This role sits at the intersection of deep scientific understanding and hands on AI engineering, translating complex biological, translational, and clinical questions into applied AI solutions. In this role, you will partner closely with Oncology scientists, clinicians, and product leaders to prototype, iterate, and deliver AI enabled insights, with a strong emphasis on speed, scientific rigor, and real-world usability. Key Responsibilities Design, develop, and prototype AI/ML solutions addressing Oncology discovery, translational, and clinical development challenges. Apply advanced analytical and machine learning methods to multimodal datasets (e.g., molecular, clinical, real-world, literature). Own solutions end-to-end, from problem framing and data exploration through model development and user facing outputs. Collaborate closely with domain experts to ensure solutions are scientifically grounded and decision relevant. Rapidly iterate on prototypes based on user feedback and evolving scientific needs. Contribute technical expertise to solution design discussions led by the Oncology AI Product & Engineering Lead. Document methods, assumptions, and limitations to support transparency and responsible AI practices. Basic Qualifications Bachelor's degree and 6+ years of relevant work experience OR Master's degree and 5+ years of experience OR PhD and 1+ years of experience. Advanced degree in computational biology, data science, machine learning, engineering, or related field strongly preferred. Demonstrated experience building applied AI/ML solutions in life sciences, healthcare, or advanced analytics environments. Strong hands-on programming skills (e.g., Python) and experience working with data pipelines and ML frameworks. Solid understanding of Oncology biology, translational science, or clinical development workflows. Ability to operate independently in ambiguous problem spaces and deliver working prototypes. Preferred Qualifications Experience in pharma, biotech, or AI driven health technology startups. Familiarity with prototyping approaches for AI products rather than long cycle production systems. Experience working with large, heterogeneous datasets common to Oncology R&D. The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits (). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers. Information & Business Tech

Pfizer Oncology is building an AI-first R&D engine where artificial intelligence is a foundational capability shaping how medicines are discovered, developed, and delivered to patients. We are seeking a Scientific AI Engineer to design and build end-to-end AI solutions that directly impact Oncology R&D decision-making. This role sits at the intersection of deep scientific understanding and hands on AI engineering, translating complex biological, translational, and clinical questions into applied AI solutions. In this role, you will partner closely with Oncology scientists, clinicians, and product leaders to prototype, iterate, and deliver AI enabled insights, with a strong emphasis on speed, scientific rigor, and real-world usability. Key Responsibilities Design, develop, and prototype AI/ML solutions addressing Oncology discovery, translational, and clinical development challenges. Apply advanced analytical and machine learning methods to multimodal datasets (e.g., molecular, clinical, real-world, literature). Own solutions end-to-end, from problem framing and data exploration through model development and user facing outputs. Collaborate closely with domain experts to ensure solutions are scientifically grounded and decision relevant. Rapidly iterate on prototypes based on user feedback and evolving scientific needs. Contribute technical expertise to solution design discussions led by the Oncology AI Product & Engineering Lead. Document methods, assumptions, and limitations to support transparency and responsible AI practices. Basic Qualifications Bachelor's degree and 6+ years of relevant work experience OR Master's degree and 5+ years of experience OR PhD and 1+ years of experience. Advanced degree in computational biology, data science, machine learning, engineering, or related field strongly preferred. Demonstrated experience building applied AI/ML solutions in life sciences, healthcare, or advanced analytics environments. Strong hands-on programming skills (e.g., Python) and experience working with data pipelines and ML frameworks. Solid understanding of Oncology biology, translational science, or clinical development workflows. Ability to operate independently in ambiguous problem spaces and deliver working prototypes. Preferred Qualifications Experience in pharma, biotech, or AI driven health technology startups. Familiarity with prototyping approaches for AI products rather than long cycle production systems. Experience working with large, heterogeneous datasets common to Oncology R&D. The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits (). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers. Information & Business Tech

Pfizer Oncology is building an AI-first R&D engine where artificial intelligence is a foundational capability shaping how medicines are discovered, developed, and delivered to patients. We are seeking a Scientific AI Engineer to design and build end-to-end AI solutions that directly impact Oncology R&D decision-making. This role sits at the intersection of deep scientific understanding and hands on AI engineering, translating complex biological, translational, and clinical questions into applied AI solutions. In this role, you will partner closely with Oncology scientists, clinicians, and product leaders to prototype, iterate, and deliver AI enabled insights, with a strong emphasis on speed, scientific rigor, and real-world usability. Key Responsibilities Design, develop, and prototype AI/ML solutions addressing Oncology discovery, translational, and clinical development challenges. Apply advanced analytical and machine learning methods to multimodal datasets (e.g., molecular, clinical, real-world, literature). Own solutions end-to-end, from problem framing and data exploration through model development and user facing outputs. Collaborate closely with domain experts to ensure solutions are scientifically grounded and decision relevant. Rapidly iterate on prototypes based on user feedback and evolving scientific needs. Contribute technical expertise to solution design discussions led by the Oncology AI Product & Engineering Lead. Document methods, assumptions, and limitations to support transparency and responsible AI practices. Basic Qualifications Bachelor's degree and 6+ years of relevant work experience OR Master's degree and 5+ years of experience OR PhD and 1+ years of experience. Advanced degree in computational biology, data science, machine learning, engineering, or related field strongly preferred. Demonstrated experience building applied AI/ML solutions in life sciences, healthcare, or advanced analytics environments. Strong hands-on programming skills (e.g., Python) and experience working with data pipelines and ML frameworks. Solid understanding of Oncology biology, translational science, or clinical development workflows. Ability to operate independently in ambiguous problem spaces and deliver working prototypes. Preferred Qualifications Experience in pharma, biotech, or AI driven health technology startups. Familiarity with prototyping approaches for AI products rather than long cycle production systems. Experience working with large, heterogeneous datasets common to Oncology R&D. The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits (). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers. Information & Business Tech

Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that. Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. What you'll do Work on a data intelligence infrastructure team, which is focused on gaining intelligence from the mass amount of data that has been collected over the years serving restaurants across the world. Build and maintain software and tools that enable data scientists, ML engineers, analysts and engineers to extract insights, sell market intelligence to merchants and make data driven decisions for the company Help product teams to build real-time and batch processing pipelines to achieve business requirements Research latest technologies in the open source communities and bring back insights to apply within the team What we're looking for 3+ years of experience as a software engineer, and the ability to work independently in a fast-paced, dynamic environment, taking initiative to drive results. Background in infrastructure or platform development is preferred. Enthusiastic about learning new codebases, and making changes in large complex systems safely and efficiently. Proficiency in Java or GoLang programming languages. We're looking for engineers who are comfortable with either language and have experience building high-performance systems. Familiarity with Azure and GCP cloud environments, and deployment tools such as Docker and Kubernetes Experience in real estate, food technology, or related industries is a bonus, though not required. A passion for solving complex problems in these sectors is key. Why join us At Atoms, you'll work on one of the defining challenges of our time-bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what's known and building what doesn't yet exist. The work is ambitious and often challenging, but it's grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role is based in our Austin office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $158,000 - $210,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?

Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that. Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. What you'll do Work on the Machine Learning and AI Infrastructure team, which is focused on providing infrastructure for data scientists and other engineers to use ML and AI technologies effectively. Build and maintain software and tools for classical ML stack which helps data scientists manage full training lifecycle from data collection, data preparation, training, deployment and model serving. Build and maintain software and tools which enable efficient and effective use of GenAI (LLM) technologies. Do background research on latest innovations in the Machine Learning space and bring back insights to apply within the team. What we're looking for 3+ years of experience as a software engineer, and the ability to work independently in a fast-paced, dynamic environment, taking initiative to drive results. Background in data infrastructure, platform infrastructure or ML infrastructure is preferred. Enthusiastic about learning new codebases, and making changes in large complex systems safely and efficiently. Proficiency in Python and Java programming languages. We're looking for engineers who are comfortable with multiple languages and have experience building scalable high-performance systems Familiarity with Azure and GCP cloud environments, and deployment tools such as Docker and Kubernetes Experience in real estate, food technology, or related industries is a bonus, though not required. A passion for solving complex problems in these sectors is key. Why join us At Atoms, you'll work on one of the defining challenges of our time-bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what's known and building what doesn't yet exist. The work is ambitious and often challenging, but it's grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $176,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'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 - helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Data Scientist will play a critical role in advancing CVS Health's commercial product strategy by transforming complex healthcare data into actionable insights that drive measurable business outcomes. Supporting Aetna's Commercial Product organization, this role will focus on developing and scaling advanced analytics solutions-including AI-powered business advisory capabilities-that uncover trends, generate insights, and enable smarter decision-making across a membership base of 15M+ lives. This individual will operate at the intersection of data science, product strategy, and business leadership, partnering closely with Product, Sales, Actuarial, Marketing, and Underwriting teams to inform product design, pricing strategy, go-to-market execution, and performance optimization. The ideal candidate combines strong technical expertise with business acumen and a proven ability to translate analytics into high-impact growth opportunities and financial results. Required Qualifications 5+ years of experience in data science, advanced analytics, or analytics consulting (7+ years preferred) Proven track record of translating complex data into actionable business insights and measurable outcomes Strong proficiency in statistical modeling, machine learning, and data analysis (Python, R, SQL or equivalent) Experience working with large, complex datasets (e.g., healthcare claims, customer behavioral data, or similarly structured data) Demonstrated ability to influence senior stakeholders and drive cross-functional alignment Experience supporting commercial decision-making such as pricing, product strategy, or go-to-market optimization Strong problem-solving skills with a focus on identifying high-ROI opportunities Excellent communication skills, with the ability to distill complex analyses into clear, strategic recommendations Preferred Qualifications Experience in healthcare analytics, particularly with payer/provider data, claims, or population health Experience developing AI/ML-driven products or decision-support tools (e.g., recommendation engines, insight platforms, business advisor tools), familiarity with agentic architecture and deployment Background in pricing analytics, actuarial partnership, or revenue optimization strategies Experience working in product-centric organizations or supporting product lifecycle decisions (inception through optimization) Familiarity with experimentation frameworks, causal inference, and advanced forecasting techniques Proven ability to lead or mentor junior data scientists and contribute to building high-performing analytics teams Experience working in highly matrixed, enterprise environments with executive-level stakeholder engagement Strong orientation toward value creation, financial impact, and client-centric outcomes Education Master's degree (MS) or MBA in a quantitative or business-related field (e.g., Data Science, Statistics, Economics, Engineering, Operations Research, or similar) required PhD preferred in a related discipline Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $111,240.00 - $284,280.00 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. 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: 10/18/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Fitch Solutions is currently seeking a Senior Gen AI Software Engineer based out of our Chicago office. Fitch Solutions is a leading provider of insights, data and analytics. It informs investment strategies, strengthens risk management capabilities and helps identify strategic opportunities. Its analysts, lawyers, journalists and economists offer in-depth views on credit markets/risk and individual credits, ESG, developed and emerging markets, and industry sectors. Fitch Solutions is part of Fitch Group, a global leader in financial information services with operations in over 30 countries. Fitch Group is owned by Hearst. By becoming a part of the Fitch Solutions team, you will join a group of colleagues driving high-impact AI initiatives and identifying cross-product synergies across our external product portfolio. We advance innovation by uncovering strategic opportunities and delivering scalable, enterprise-grade solutions. You'll work in a dynamic environment where innovation is encouraged, and collaboration is key to developing solutions that address the evolving needs of global markets. With a portfolio of best-in-class, we offer you the opportunity to advance your career while contributing to a company known for its expertise and commitment to excellence. What We Offer: Create transformative AI systems with measurable impact - Design and deploy production-ready generative AI platforms, multi-agent systems, and intelligent automation; tackle frontier AI challenges witnessing your innovations reshape products in real-time. Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers for Fitch Solutions; stay at the bleeding edge of AI technology with access to the latest tools, frameworks, and platforms. Lead enterprise-wide AI standardization initiatives - Build GenAI solutions across multiple business units while creating unified patterns, reusable components, and standardization frameworks that enable AI at enterprise scale across Fitch Solutions. Address complex, cross-functional challenges - Work at the intersection of engineering and product development, building systems that leverage GenAI agentic workflows and production-scale deployment; tackle problems that will expand your expertise and push the boundaries of what's technically possible. We'll Count on You To: Lead transformative GenAI system development - Spearhead the creation of sophisticated generative AI solutions including enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, applied GenAI applications, and Model Context Protocol (MCP) implementations; deliver production-grade, scalable code that meets enterprise performance standards. Pioneer AI innovation through hands-on engineering - Experiment with cutting-edge foundation models, design and implement GenAI/ML architectures, assess emerging AI technologies, develop rapid proofs-of-concept, and bridge the gap between research breakthroughs and production-ready capabilities that generate tangible business value. Build robust production infrastructure - Develop enterprise-scale APIs (FastAPI) for deployment, architect and implement comprehensive cloud-based AI infrastructure on AWS/Azure, and ensure systems are optimized for performance, reliability, and scalability. Demonstrate full-stack engineering excellence - Apply proficiency across the entire technology stack to build enterprise-grade websites and applications, integrating AI capabilities seamlessly into user-facing products and backend systems. Build and deliver reliable AI solutions - Participate in the full software development lifecycle for AI initiatives, contribute technical insights to design discussions, apply engineering best practices. Collaborate and communicate effectively - Partner with cross-functional teams including product managers, engineers and business stakeholders to translate complex technical concepts, gather requirements, and ensure AI solutions directly address user needs and strategic objectives. What You Need to Have: 7+ years of professional experience designing, developing, and deploying production-grade AI/ML systems, with a proven track record of delivering sophisticated generative AI and machine learning solutions at scale. 5+ years in full stack software engineering building and deploying real-world enterprise applications; advanced Python programming skills with strong backend development capabilities. Proven experience in developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration in real-time enterprise environments. Hands-on enterprise experience developing GenAI applications using LangChain and LangGraph frameworks with expertise in agent architecture design, state management, memory systems, and graph-based workflow orchestration. Strong technical expertise in embeddings, vector databases for AI integration, and LLM integration/fine-tuning across platforms such as OpenAI, LLaMA; solid understanding of ML algorithms with production experience using frameworks and tools including FastAPI, PyTorch/TensorFlow, and MLflow. Extensive experience building and integrating generative AI solutions into production environments, including working with large language models, designing multi agentic systems and embedding AI capabilities into existing product ecosystems. Strong foundation in MLOps practices, containerization technologies (Docker, Kubernetes/AWS EKS), cloud infrastructure (AWS/Azure), AI-specific services (AWS Bedrock, SageMaker, Azure AI Search), and orchestration tools. Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse stakeholders and work effectively across cross-functional teams. Why Fitch? Hybrid Work Environment: 2-3 days a week in office required based on your line of business and location. A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority. We are building incredible things at Fitch and we invite you to join us on our journey. Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings Fitch Solutions Fitch Learning. For more information please visit our websites: Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. FOR CHICAGO ROLES ONLY: Expected base pay rates for the role will be between $120,000 and $140,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch's total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'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 - helping to simplify health care one person, one family and one community at a time. At CVS Health, Site Reliability Engineering (SRE) is fundamental to delivering the reliable, secure, and scalable technology experiences that support millions of patients, customers, pharmacists, and healthcare professionals every day. Our SRE organization drives operational excellence across critical healthcare and retail platforms through innovation, automation, observability, and engineering best practices. The Executive Director, Site Reliability Engineering serves as the strategic leader responsible for the reliability, resilience, and performance of CVS Health's retail and pharmacy technology ecosystem. This executive will define and execute a comprehensive reliability strategy, oversee large global engineering teams, and establish a long-term vision for observability, automation, and operational excellence across thousands of store locations. Working closely with senior business and technology leaders, the Executive Director will champion modern SRE practices, accelerate incident response capabilities, and deliver real-time operational visibility that enables proactive issue prevention and exceptional customer and patient experiences. Key Responsibilities Strategic Leadership & Vision Define and lead the enterprise-wide Site Reliability Engineering strategy supporting CVS Health's retail and pharmacy operations. Align reliability and operational objectives with broader business and technology priorities. Develop and execute a multi-year roadmap focused on observability, automation, platform resiliency, and operational excellence. Influence technology investment decisions and architectural direction to advance reliability capabilities across the enterprise. Serve as the executive sponsor and trusted advisor for store reliability, partnering with retail, pharmacy, digital, and corporate leadership. Reliability Engineering & Operational Excellence Establish and govern Service Level Objectives (SLOs), Service Level Agreements (SLAs), and error budgets for mission-critical store applications and services. Drive continuous improvements in availability, performance, scalability, and resilience across distributed technology environments. Lead enterprise major incident management activities, ensuring rapid detection, effective escalation, root-cause analysis, and lasting remediation. Foster a culture of accountability, operational excellence, and continuous improvement across engineering organizations. Observability, Monitoring & Automation Establish comprehensive observability capabilities, including advanced monitoring, logging, metrics collection, event correlation, and distributed tracing. Deliver end-to-end visibility into the health and performance of retail and pharmacy systems across thousands of locations. Drive automation initiatives that reduce manual effort, eliminate operational toil, and enable self-healing operational capabilities. Leverage AI and machine learning technologies to improve monitoring, predictive analytics, operational insights, and incident prevention. Technology & Platform Modernization Champion modern cloud, edge computing, and distributed systems architectures that enhance reliability and scalability. Partner with Product Engineering, Architecture, Infrastructure, Security, and Operations teams to embed reliability practices throughout the software development lifecycle. Ensure technology operations remain secure, compliant, and aligned with healthcare and retail regulatory requirements. Organizational Leadership & Talent Development Lead, mentor, and inspire large global teams of Site Reliability Engineers and engineering leaders. Build a high-performing, inclusive engineering culture focused on innovation, collaboration, and customer outcomes. Develop workforce planning strategies and talent pipelines to attract, retain, and grow world-class engineering talent. Promote leadership development and succession planning across the organization. Required Qualifications 15+ years of progressive technology leadership experience across infrastructure, operations, software engineering, or related disciplines. Significant experience leading Site Reliability Engineering, production operations, platform engineering, or large-scale reliability programs. Proven success managing complex, distributed technology environments, preferably in retail, healthcare, pharmacy, or other multi-site enterprise operations. Deep expertise in incident management, observability, automation, resiliency engineering, and operational excellence methodologies. Strong understanding of retail technology ecosystems, including POS systems, pharmacy applications, handheld devices, store servers, and network infrastructure. Demonstrated ability to lead enterprise-wide transformation initiatives and influence executive stakeholders. Exceptional communication, strategic thinking, decision-making, and problem-solving skills. Experience leading large-scale global teams and managing enterprise technology programs. Strong commitment to collaboration, inclusion, innovation, and team development. Preferred Qualifications Experience leading large SRE, infrastructure, or technology operations organizations within retail, healthcare, pharmacy, or similarly complex environments. Advanced knowledge of cloud platforms including AWS, Microsoft Azure, and Google Cloud Platform (GCP). Expertise with containerization and orchestration technologies such as Kubernetes and OpenShift. Hands-on familiarity with leading observability and monitoring platforms including Splunk, Dynatrace, Datadog, Prometheus, and Grafana. Strong understanding of regulatory and compliance requirements, including HIPAA, PCI DSS, and ADA standards. Proven experience leveraging AI and machine learning to enhance monitoring, automation, predictive operations, and incident management. Experience utilizing customer experience and digital analytics platforms such as Quantum Metric, Medallia, and Adobe Analytics to connect technology performance with business outcomes and customer experience metrics. Education Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field preferred. Advanced degree (MBA, Master's, or equivalent) and/or relevant industry certifications are highly desirable. Pay Range The typical pay range for this role is: $175,100.00 - $334,750.00 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'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: 10/31/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon is continuously striving to be the most customer-centric company in the world. AWS have been helping over one million customers in over 190 countries, from Airbnb to GE, to deliver flexibility, scalability and reliability across their organizations. Behind this success is exceptionally talented, bright and driven individuals who work hard, have fun and make history." In your role, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's utility computing web services within strategic Enterprise accounts. You will represent AWS in face-to-face meetings and own the overall technical relationship between AWS and the customer. This role will engage with enterprise customers across a broad range of industry verticals including Travel and Transportation, Tourism and Leisure, Fast-Moving Consumer Goods (FMCG), Pharmaceuticals & Healthcare and Business Services. Technology trends in these verticals include IoT, Big Data, Analytics, AI/ML, Serverless and traditional cloud migrations of compute, storage and associated applications. The ideal candidate will need to demonstrate: Deep technical skill in infrastructure, software architecture and cloud computing Customer facing skills, ideally gained in presales or consultancy roles, allowing them to represent AWS in discussions with senior personnel Demonstrated ability to think strategically about solutions to business, product, and technical challenges. Awareness of technology trends and how they impact the way businesses consume IT This position requires U.S. citizenship and the ability to obtain and maintain a U.S. government security clearance. Key job responsibilities Support the AWS Business development team to help formulate a strategy to help the adoption of AWS within the focus industry verticals. Guide customers to ensure success in building and migrating applications, software and services following the principles of the AWS Well-Architected Framework. Help educate enterprise customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud. Help provide one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS. Capture and share best-practice knowledge among the AWS solutions architecture community. Author or otherwise contribute to AWS customer-facing publications such as blogs and whitepapers. Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates. Act as a technical liaison between customers, service engineering teams and support. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience PREFERRED QUALIFICATIONS- degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Dallas - 153 800.00 USD annually USA, VA, Herndon - 153 800.00 USD annually