Edward Jones
Saint Louis, Missouri
Edward Jones is seeking a Senior AI Scientist to design, build, and deploy advanced AI/ML solutions that power investment advice, risk modeling, and client personalization across our finance and insurance platforms. You will lead end to end model development, from data exploration and feature engineering to experimentation, validation, and productionization in partnership with engineering and product teams. Responsibilities include developing scalable ML pipelines, applying NLP and deep learning to financial data, ensuring model governance and compliance, and mentoring junior scientists in a collaborative, client first culture. Responsibilities Design and develop advanced AI/ML models for investment advice, risk modeling, and client personalization Lead end-to-end ML lifecycle including data exploration, feature engineering, training, and evaluation Build and maintain scalable ML pipelines and deployment workflows with engineering teams Apply NLP and deep learning techniques to structured and unstructured financial data Ensure model governance, documentation, fairness, and regulatory compliance in a finance context Collaborate with product and business stakeholders to translate client needs into AI solutions Monitor, validate, and improve model performance in production environments Mentor and provide technical guidance to junior data scientists and analysts Contribute to AI strategy, tooling, and best practices across the organization Required Skills Machine learning algorithms (supervised, unsupervised, ensemble methods) Deep learning frameworks (Tensor Flow, Py Torch) Natural language processing and LLMs Python programming (Pandas, Num Py, Scikit-learn) Model deployment and MLOps (Docker, Kubernetes, CI/CD) Cloud platforms (AWS, Azure, or GCP) Data engineering for ML (SQL, data pipelines) Model governance, monitoring, and explainability Time-series and risk modeling for financial data Version control and collaborative development (Git)
Edward Jones is seeking a Senior AI Scientist to design, build, and deploy advanced AI/ML solutions that power investment advice, risk modeling, and client personalization across our finance and insurance platforms. You will lead end to end model development, from data exploration and feature engineering to experimentation, validation, and productionization in partnership with engineering and product teams. Responsibilities include developing scalable ML pipelines, applying NLP and deep learning to financial data, ensuring model governance and compliance, and mentoring junior scientists in a collaborative, client first culture. Responsibilities Design and develop advanced AI/ML models for investment advice, risk modeling, and client personalization Lead end-to-end ML lifecycle including data exploration, feature engineering, training, and evaluation Build and maintain scalable ML pipelines and deployment workflows with engineering teams Apply NLP and deep learning techniques to structured and unstructured financial data Ensure model governance, documentation, fairness, and regulatory compliance in a finance context Collaborate with product and business stakeholders to translate client needs into AI solutions Monitor, validate, and improve model performance in production environments Mentor and provide technical guidance to junior data scientists and analysts Contribute to AI strategy, tooling, and best practices across the organization Required Skills Machine learning algorithms (supervised, unsupervised, ensemble methods) Deep learning frameworks (Tensor Flow, Py Torch) Natural language processing and LLMs Python programming (Pandas, Num Py, Scikit-learn) Model deployment and MLOps (Docker, Kubernetes, CI/CD) Cloud platforms (AWS, Azure, or GCP) Data engineering for ML (SQL, data pipelines) Model governance, monitoring, and explainability Time-series and risk modeling for financial data Version control and collaborative development (Git)
Edward Jones
Tempe, Arizona
Edward Jones is seeking a Senior AI Scientist to design, build, and deploy advanced AI/ML solutions that power investment advice, risk modeling, and client personalization across our finance and insurance platforms. You will lead end to end model development, from data exploration and feature engineering to experimentation, validation, and productionization in partnership with engineering and product teams. Responsibilities include developing scalable ML pipelines, applying NLP and deep learning to financial data, ensuring model governance and compliance, and mentoring junior scientists in a collaborative, client first culture. Responsibilities Design and develop advanced AI/ML models for investment advice, risk modeling, and client personalization Lead end-to-end ML lifecycle including data exploration, feature engineering, training, and evaluation Build and maintain scalable ML pipelines and deployment workflows with engineering teams Apply NLP and deep learning techniques to structured and unstructured financial data Ensure model governance, documentation, fairness, and regulatory compliance in a finance context Collaborate with product and business stakeholders to translate client needs into AI solutions Monitor, validate, and improve model performance in production environments Mentor and provide technical guidance to junior data scientists and analysts Contribute to AI strategy, tooling, and best practices across the organization Required Skills Machine learning algorithms (supervised, unsupervised, ensemble methods) Deep learning frameworks (Tensor Flow, Py Torch) Natural language processing and LLMs Python programming (Pandas, Num Py, Scikit-learn) Model deployment and MLOps (Docker, Kubernetes, CI/CD) Cloud platforms (AWS, Azure, or GCP) Data engineering for ML (SQL, data pipelines) Model governance, monitoring, and explainability Time-series and risk modeling for financial data Version control and collaborative development (Git)
Edward Jones is seeking a Senior AI Scientist to design, build, and deploy advanced AI/ML solutions that power investment advice, risk modeling, and client personalization across our finance and insurance platforms. You will lead end to end model development, from data exploration and feature engineering to experimentation, validation, and productionization in partnership with engineering and product teams. Responsibilities include developing scalable ML pipelines, applying NLP and deep learning to financial data, ensuring model governance and compliance, and mentoring junior scientists in a collaborative, client first culture. Responsibilities Design and develop advanced AI/ML models for investment advice, risk modeling, and client personalization Lead end-to-end ML lifecycle including data exploration, feature engineering, training, and evaluation Build and maintain scalable ML pipelines and deployment workflows with engineering teams Apply NLP and deep learning techniques to structured and unstructured financial data Ensure model governance, documentation, fairness, and regulatory compliance in a finance context Collaborate with product and business stakeholders to translate client needs into AI solutions Monitor, validate, and improve model performance in production environments Mentor and provide technical guidance to junior data scientists and analysts Contribute to AI strategy, tooling, and best practices across the organization Required Skills Machine learning algorithms (supervised, unsupervised, ensemble methods) Deep learning frameworks (Tensor Flow, Py Torch) Natural language processing and LLMs Python programming (Pandas, Num Py, Scikit-learn) Model deployment and MLOps (Docker, Kubernetes, CI/CD) Cloud platforms (AWS, Azure, or GCP) Data engineering for ML (SQL, data pipelines) Model governance, monitoring, and explainability Time-series and risk modeling for financial data Version control and collaborative development (Git)
AbbVie
North Chicago, Illinois
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence solutions across AbbVie. This role will investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Technical leader acting at a group, department, and cross-functional levels. Responsible for managing the Data, Solutions, Business, and/or technology environments and tying them to the Enterprise Architecture and other architectures designs. Responsibilities: Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with AbbVie's business and technology objectives. Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that support enterprise adoption. Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement. Integrate AI platforms with AWS services and enterprise data, software, security, identity, and infrastructure environments. Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support. Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI. Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions. Serve as a trusted technical advisor, facilitate alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to technical and non-technical audiences. Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities. Mentor engineers, advance engineering maturity, promote knowledge sharing, and represent AbbVie in relevant technical communities and partner engagements. Qualifications Required Bachelor's degree with 9 years' experience, Master's degree with 8 years' experience, or PhD with 4 years' in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical discipline. Demonstrated experience designing, deploying, and operating production-scale AI and machine learning systems. Strong experience in AI/platform engineering, including scalable platforms, reusable components, and production-grade AI solutions. Demonstrated experience designing, building, deploying, and supporting solutions using AWS systems and services. Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support. Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences. Experience supporting the full solution lifecycle, including feasibility, design, development, testing, validation, deployment, and ongoing operations. Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements. Demonstrated ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries. Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators. Demonstrated innovation and mentoring experience, including advancing engineering practices and delivering measurable impact. Preferred Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management. Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code. Open-source contributions or technical thought leadership through publications, patents, or industry working groups. Experience leading cross-functional product development from feasibility through validation and production implementation. Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence solutions across AbbVie. This role will investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Technical leader acting at a group, department, and cross-functional levels. Responsible for managing the Data, Solutions, Business, and/or technology environments and tying them to the Enterprise Architecture and other architectures designs. Responsibilities: Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with AbbVie's business and technology objectives. Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that support enterprise adoption. Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement. Integrate AI platforms with AWS services and enterprise data, software, security, identity, and infrastructure environments. Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support. Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI. Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions. Serve as a trusted technical advisor, facilitate alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to technical and non-technical audiences. Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities. Mentor engineers, advance engineering maturity, promote knowledge sharing, and represent AbbVie in relevant technical communities and partner engagements. Qualifications Required Bachelor's degree with 9 years' experience, Master's degree with 8 years' experience, or PhD with 4 years' in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical discipline. Demonstrated experience designing, deploying, and operating production-scale AI and machine learning systems. Strong experience in AI/platform engineering, including scalable platforms, reusable components, and production-grade AI solutions. Demonstrated experience designing, building, deploying, and supporting solutions using AWS systems and services. Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support. Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences. Experience supporting the full solution lifecycle, including feasibility, design, development, testing, validation, deployment, and ongoing operations. Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements. Demonstrated ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries. Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators. Demonstrated innovation and mentoring experience, including advancing engineering practices and delivering measurable impact. Preferred Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management. Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code. Open-source contributions or technical thought leadership through publications, patents, or industry working groups. Experience leading cross-functional product development from feasibility through validation and production implementation. Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html