AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
10/27/2026
Full time
AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
10/27/2026
Full time
AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Shree Narayani Networking Solutions Pvt Ltd
Livingston, New Jersey
Job Title: Lead Node.js Engineer Job Type: Long-Term Contract Location: Livingston, NJ (Hybrid 3 days Onsite per week) Work Authorization: Open to USC/GC Target Rates: Up to $75/hr on C2C or 1099 Max $65/hr on W2 Interview Process: Virtual rounds + Final Round ONSITE (Local Candidates Only) Position Summary We are seeking an experienced Lead Node.js Engineer to join a highly sought-after technology team. In this role, you will lead the architecture, development, and delivery of high-performance backend microservices and APIs. You will partner closely with engineering leads, product managers, and cross-functional teams to build scalable, reliable software in an agile, cloud-native environment. Key Responsibilities Architect, design, and maintain high-throughput backend services and microservices using Node.js and TypeScript. Provide technical leadership, architectural guidance, and code reviews for junior and mid-level engineers. Design and implement RESTful APIs, GraphQL services, and event-driven architectures. Optimize database queries, data models, and application performance (SQL and NoSQL environments). Drive best practices across CI/CD deployment pipelines, containerization (Docker/Kubernetes), and cloud services (AWS/Azure/GCP). Participate in agile ceremonies, sprint planning, technical design reviews, and backlog refinement. Conduct hands-on testing (Unit, Integration, End-to-End) to ensure high reliability and zero-downtime releases. Required Qualifications & Skills 8+ years of total software development experience with 3+ years in a Lead or Principal capacity. Expert-level proficiency in Node.js, Express.js/NestJS, and modern JavaScript/TypeScript. Strong background in building and scaling RESTful APIs, Microservices, and Cloud-native applications (AWS, Azure, or GCP). Solid experience with relational databases (PostgreSQL, MySQL) and NoSQL stores (MongoDB, Redis, DynamoDB). Hands-on experience with message brokers and event streaming (Kafka, RabbitMQ, SQS). Experience with DevOps automation tools, CI/CD pipelines, Docker, and Kubernetes. Exceptional communication skills with a proven track record of mentoring developers and articulating technical architecture to leadership. Location & Onsite Requirement Local Candidates Only: Must be within a reasonable commuting distance to Livingston, NJ for 3 days onsite per week. Candidates must be available to attend the final interview round ONSITE in Livingston, NJ.
10/27/2026
Full time
Job Title: Lead Node.js Engineer Job Type: Long-Term Contract Location: Livingston, NJ (Hybrid 3 days Onsite per week) Work Authorization: Open to USC/GC Target Rates: Up to $75/hr on C2C or 1099 Max $65/hr on W2 Interview Process: Virtual rounds + Final Round ONSITE (Local Candidates Only) Position Summary We are seeking an experienced Lead Node.js Engineer to join a highly sought-after technology team. In this role, you will lead the architecture, development, and delivery of high-performance backend microservices and APIs. You will partner closely with engineering leads, product managers, and cross-functional teams to build scalable, reliable software in an agile, cloud-native environment. Key Responsibilities Architect, design, and maintain high-throughput backend services and microservices using Node.js and TypeScript. Provide technical leadership, architectural guidance, and code reviews for junior and mid-level engineers. Design and implement RESTful APIs, GraphQL services, and event-driven architectures. Optimize database queries, data models, and application performance (SQL and NoSQL environments). Drive best practices across CI/CD deployment pipelines, containerization (Docker/Kubernetes), and cloud services (AWS/Azure/GCP). Participate in agile ceremonies, sprint planning, technical design reviews, and backlog refinement. Conduct hands-on testing (Unit, Integration, End-to-End) to ensure high reliability and zero-downtime releases. Required Qualifications & Skills 8+ years of total software development experience with 3+ years in a Lead or Principal capacity. Expert-level proficiency in Node.js, Express.js/NestJS, and modern JavaScript/TypeScript. Strong background in building and scaling RESTful APIs, Microservices, and Cloud-native applications (AWS, Azure, or GCP). Solid experience with relational databases (PostgreSQL, MySQL) and NoSQL stores (MongoDB, Redis, DynamoDB). Hands-on experience with message brokers and event streaming (Kafka, RabbitMQ, SQS). Experience with DevOps automation tools, CI/CD pipelines, Docker, and Kubernetes. Exceptional communication skills with a proven track record of mentoring developers and articulating technical architecture to leadership. Location & Onsite Requirement Local Candidates Only: Must be within a reasonable commuting distance to Livingston, NJ for 3 days onsite per week. Candidates must be available to attend the final interview round ONSITE in Livingston, NJ.
Southwest Research Institute - Fulltime
San Antonio, Texas
Who We Are: Our team, the Cloud Services team within the Information Technology Center, is responsible for EntraID (formerly Azure)/M365 cloud services and Active Directory for the Enterprise. The team provides support and implementation services to the entire organization's IT infrastructure. Objectives of this Role: Manage and enhance internal Public Key Infrastructure (PKI), ADFS (Active Directory Federation Services), and Certificate Lifecycle Management (e.g. Keyfactor Command) to maintain secure, reliable access to enterprise resources. Design and implement secure identity and access patterns for Azure and AWS services, including Azure OpenAI, Azure AI Hub/Foundry, Azure Cognitive Services, and AWS Bedrock. Lead the design, configuration, and maintenance of Entra ID (Azure AD) app registrations, service principals, and RBAC models that provide controlled, auditable access to cloud and AI workloads. Collaborate across IT teams (Cloud, Security, Networking, Applications, Help Desk) to resolve complex issues related to AD, Entra ID, ADFS, PKI, certificates, and cloud identity. Drive best practices for identity and access management, Azure and AWS infrastructure governance, and operational scalability across cloud and on-premises environments. Maintain strong change control discipline and keep supporting documentation up to date. Daily and Monthly Responsibilities: Manage and support internal PKI and certificate lifecycle processes, including: Administration of CAs, OCSP/CRL endpoints, and certificate trust chains. Configuration and operation of Keyfactor Command certificate discovery, issuance, renewal, and revocation. Support and maintain identity and federation services, including Active Directory (user and group management, roles, delegation), Entra ID app registrations, service principals, Conditional Access, RBAC, ADFS configuration and integration with internal and external applications. Collaborate with IT teams to resolve helpdesk tickets related to: AD and Entra ID authentication and authorization issues. ADFS sign-on/federation problems and claims troubleshooting. Certificate deployment, trust, and lifecycle problems impacting applications and services. Implement and maintain secure access for Azure and AWS AI platforms, including: App registrations and security group-based access controls for Azure OpenAI, Azure AI Hub/Foundry, and Azure Cognitive Services. IAM roles, policies, and network/security configuration for AWS service. Maintain documentation of identity architectures, PKI designs, AI enablement patterns, and change records for audits and future engineers, and research and propose improvements to identity, PKI, certificate lifecycle, and AI enablement, including automation and governance tooling. Requirements: Requires a Bachelors degree in Information Technology or related degree field with relevant experience. In lieu of a Bachelors degree, 10 years of professional level experience, a high school education or equivalent with related certifications will be considered. Related Microsoft certifications are preferred. 6 years: Hands-on experience managing enterprise identity platforms, including: Active Directory domain services. Entra ID (Azure AD) app registrations, service principals, and Conditional Access. ADFS design, configuration, and support. 3 years: Managing a PKI environment and certificate lifecycle, including: Internal CA infrastructure, OCSP/CRL, and certificate templates. Demonstrated experience designing and securing access for Azure and/or AWS solutions, including at least some of the following: Azure OpenAI, Azure AI Hub/Foundry, Azure Cognitive Services. AWS Bedrock or similar AWS AI/ML services. Strong understanding of identity and access management best practices, including: Role-based access control (RBAC) in Azure and AWS. Least-privilege design, MFA, and Conditional Access. Governance and operational scalability in cloud environments. A valid/clear driver's license is required.
10/27/2026
Full time
Who We Are: Our team, the Cloud Services team within the Information Technology Center, is responsible for EntraID (formerly Azure)/M365 cloud services and Active Directory for the Enterprise. The team provides support and implementation services to the entire organization's IT infrastructure. Objectives of this Role: Manage and enhance internal Public Key Infrastructure (PKI), ADFS (Active Directory Federation Services), and Certificate Lifecycle Management (e.g. Keyfactor Command) to maintain secure, reliable access to enterprise resources. Design and implement secure identity and access patterns for Azure and AWS services, including Azure OpenAI, Azure AI Hub/Foundry, Azure Cognitive Services, and AWS Bedrock. Lead the design, configuration, and maintenance of Entra ID (Azure AD) app registrations, service principals, and RBAC models that provide controlled, auditable access to cloud and AI workloads. Collaborate across IT teams (Cloud, Security, Networking, Applications, Help Desk) to resolve complex issues related to AD, Entra ID, ADFS, PKI, certificates, and cloud identity. Drive best practices for identity and access management, Azure and AWS infrastructure governance, and operational scalability across cloud and on-premises environments. Maintain strong change control discipline and keep supporting documentation up to date. Daily and Monthly Responsibilities: Manage and support internal PKI and certificate lifecycle processes, including: Administration of CAs, OCSP/CRL endpoints, and certificate trust chains. Configuration and operation of Keyfactor Command certificate discovery, issuance, renewal, and revocation. Support and maintain identity and federation services, including Active Directory (user and group management, roles, delegation), Entra ID app registrations, service principals, Conditional Access, RBAC, ADFS configuration and integration with internal and external applications. Collaborate with IT teams to resolve helpdesk tickets related to: AD and Entra ID authentication and authorization issues. ADFS sign-on/federation problems and claims troubleshooting. Certificate deployment, trust, and lifecycle problems impacting applications and services. Implement and maintain secure access for Azure and AWS AI platforms, including: App registrations and security group-based access controls for Azure OpenAI, Azure AI Hub/Foundry, and Azure Cognitive Services. IAM roles, policies, and network/security configuration for AWS service. Maintain documentation of identity architectures, PKI designs, AI enablement patterns, and change records for audits and future engineers, and research and propose improvements to identity, PKI, certificate lifecycle, and AI enablement, including automation and governance tooling. Requirements: Requires a Bachelors degree in Information Technology or related degree field with relevant experience. In lieu of a Bachelors degree, 10 years of professional level experience, a high school education or equivalent with related certifications will be considered. Related Microsoft certifications are preferred. 6 years: Hands-on experience managing enterprise identity platforms, including: Active Directory domain services. Entra ID (Azure AD) app registrations, service principals, and Conditional Access. ADFS design, configuration, and support. 3 years: Managing a PKI environment and certificate lifecycle, including: Internal CA infrastructure, OCSP/CRL, and certificate templates. Demonstrated experience designing and securing access for Azure and/or AWS solutions, including at least some of the following: Azure OpenAI, Azure AI Hub/Foundry, Azure Cognitive Services. AWS Bedrock or similar AWS AI/ML services. Strong understanding of identity and access management best practices, including: Role-based access control (RBAC) in Azure and AWS. Least-privilege design, MFA, and Conditional Access. Governance and operational scalability in cloud environments. A valid/clear driver's license is required.
CFSA requires a senior, deeply hands-on Solution Architect resource to serve as the technical design authority for STAAND (Stronger Together Against Abuse and Neglect in DC), the District's federally certified Comprehensive Child Welfare Information System (CCWIS). STAAND is a person-centric, AI-enabled platform built on Microsoft Dynamics 365 and the Power Platform hosted in a Government Community Cloud (GCC) tenant, with Azure services operating in Microsoft's commercial cloud. It supports CFSA social workers, supervisors, private agency partners, providers, resource parents, and District sister agencies across nine functional modules - Intake and Investigations, Case Management, ICPC, Finance (Contracts, Service Logs, and Fiscal), Provider, Eligibility and Subsidy, Placement, Services, and Management Reports - plus six external portals (Mandated Reporter, MPD, NYTD, OSSE, Resource Parent, and Community). STAAND also fields CORA, an AI assistant supporting natural-language search and AI-assisted contact notes among other use cases. The Resource will own architecture, security design, AI engineering, and the platform-release change cadence required to keep STAAND current and improving. This is a build-and-design role, not an advisory or oversight role. The Resource is expected to personally configure, code, prototype, review, and troubleshoot in the platform while serving as the credible technical voice to CFSA executive leadership, STAAND Product Team, OCTO, Microsoft, and Federal Partners (ACF/Children's Bureau). The Resource will work under the direct supervision of the District DevOps Manager. Scope of Work and Responsibilities 3.1 Solution and Platform Architecture • Own and maintain the authoritative STAAND architecture: logical and physical data models, Dataverse table and relationship design, solution segmentation, environment strategy, and integration topology. • Personally build in the platform - model-driven app configuration, plug-ins and custom APIs (C#/.NET), PCF controls, TypeScript/JavaScript client extensions, Power Fx, and plug-in pipeline optimization. • Establish and enforce architecture standards, design patterns, naming conventions, and technical debt registers across all modules and portals. • Chair design authority review for significant changes; sign off on solution designs before build. • Diagnose deep platform issues: performance degradation, API and service-protection limits, plug-in execution ordering, solution layering conflicts, storage growth, portal rendering. • Maintain architecture artifacts sufficient to satisfy CCWIS review, federal audit, and District IT governance. 3.2 Cross-Cloud Architecture: GCC and Commercial Azure • Design, document, and harden the boundary between the GCC Dynamics/Power Platform tenant and Azure commercial-cloud services. • Define what data may traverse that boundary, in what form (de-identified, tokenized, aggregated, or full record), under what authorization, and with what logging - including explicit architectural boundaries for protected data categories such as Medicaid Enrollment. • Implement cross-tenant identity, managed identities, service principals, Key Vault secret lifecycle, private networking, and API gateway patterns. • Maintain a defensible position on data residency and FedRAMP authorization boundaries for every commercial-cloud service in use, and present that position to auditors and federal reviewers. 3.3 AI and Agentic Development • Serve as hands-on technical lead for CFSA's AI capability, including CORA and its expansion into agentic workflows. • Design, build, evaluate, and productionize agents in Azure AI Foundry and Copilot Studio: tool and function calling, orchestration and multi-agent patterns, grounding and retrieval over Dataverse and document stores, prompt and context engineering, structured output, and human-in-the-loop checkpoints. • Own AI evaluation discipline: golden datasets, automated evals, groundedness and hallucination measurement, regression testing on model or prompt changes, latency and cost benchmarking, controlled rollout. • Manage the AI model lifecycle - track model releases and deprecations, run comparative evaluation before adopting a new model, execute migrations without regression to worker-facing quality. • Implement responsible AI controls appropriate to a child welfare setting: content safety, PII/PHI handling, bias and fairness testing, explainability, audit logging of AI-influenced actions, and clear framing of AI output as decision support rather than decision making. • Support predictive and analytic capability aligned to agency mission priorities, ensuring models are validated, monitored for drift, and governed. • Build reusable AI platform assets - prompt libraries, agent templates, evaluation harnesses, observability dashboards. 3.4 Application and Platform Security • Own the security architecture of STAAND end to end; serve as technical counterpart to the agency ISSO, OCTO security, and District privacy officials. • Apply and evidence compliance with OCTO IT policies (octo.dc.gov/page/it-policies), NIST SP 800-53, FISMA, FedRAMP, HIPAA, 45 CFR 1355 (CCWIS), Title IV-E confidentiality, and District data protection law including DC Code 28-3851 et seq. breach notification obligations. • Design and enforce least privilege: Dataverse business unit and role architecture, row/column-level security, portal web roles and table permissions, privileged access management, separation of duties for finance and eligibility functions. • Lead secure SDLC: threat modeling, secure code review, static and dynamic analysis, dependency and supply-chain scanning, secrets management, remediation tracking with severity-based SLAs. • Support penetration tests, vulnerability assessments, and audit response; own STAAND-assigned POA&M items. • Define AI-specific security requirements: prompt injection defenses, tool-permission scoping, data exfiltration prevention, agent action auditing. • Contribute to incident response, continuity, and disaster recovery planning; validate RTO/RPO through periodic exercises. 3.5 Continuous Improvement and Release Management • Own the STAAND change pipeline from enhancement request through design, build, test, release, and post-release verification, including published release notes and coordination with the CISA training organization. • Plan and execute against Microsoft's Dynamics 365 biannual release waves and Power Platform service updates: early-access testing in a dedicated environment, deprecation and breaking-change assessment, and a documented impact and remediation plan per wave. • Evaluate new platform, Azure, and AI capabilities against the STAAND roadmap; run structured proofs of concept and make evidence-based adopt / trial / hold / retire recommendations. • Maintain a rolling multi-year technical roadmap balancing stabilization, platform health, security, federal compliance, and innovation. • Drive performance, reliability, and cost optimization - capacity and license consumption, Azure spend, storage tiering, API efficiency. • Advance DevOps maturity: source-controlled solutions, automated build and deploy pipelines, environment refresh, automated regression testing, release quality metrics. • Maintain and report the technical issues and risk register with mitigation owners and timelines. 3.6 Data, Interoperability, and Federal Reporting • Own the data architecture supporting AFCARS, NCANDS, NYTD, CFSR, and Title IV-E reporting, including lineage, quality rules, exception handling, and submission validation. • Design and maintain bi-directional exchanges with District and external partners consistent with CCWIS interoperability requirements. • Establish automated data quality controls, duplicate person detection and merge integrity, and reconciliation with legacy records. 3.7 Stakeholder and Senior Leadership Engagement • Translate between social work practice and technical architecture; observe real workflow with intake workers, investigators, case managers, placement staff, and fiscal teams before designing for it. • Brief the CFSA IT Steering Committee Members, CIO, STAAND Product Leadership, OCTO leadership, Council oversight staff, court monitors, and ACF/Children's Bureau reviewers, calibrating to each audience. • Serve as principal technical liaison to Microsoft (Industry Solutions Delivery, Customer Success, product groups) and to implementation and support vendors; hold them to architectural and quality standards. • Author decision memos, architecture decision records, briefing decks, and federal reporting content requiring minimal editing. • Mentor CFSA staff and other contract resources; build internal capability and reduce single-point-of-failure dependency. Dynamics 365 Customer Service (MB-230) Microsoft Certified: Power Platform Solution Architect Expert (PL-600) Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical discipline from an accr Progressive IT experience Solution or enterprise architecture on enterprise-scale, mission-critical systems Microsoft Dynamics 365 CE / Dataverse / Power Platform - hands-on Lead or principal architect on full D365 implementation lifecycles (min. 2 lifecycles) Microsoft Azure architecture and hands-on build (PaaS integration, data, identity) Generative AI / agentic development in production - Azure AI Foundry, Azure OpenAI, or Copilot Studio RAG / grounding, tool calling, agent orchestration, and AI evaluation methodology Application security in a regulated environment (NIST 800-53 or equivalent, threat modeling, secure SDLC) Government cloud delivery - GCC, GCC High, or Azure Government Pro-code D365 extensibility - C#/.NET plug-ins, custom APIs . click apply for full job details
10/27/2026
Full time
CFSA requires a senior, deeply hands-on Solution Architect resource to serve as the technical design authority for STAAND (Stronger Together Against Abuse and Neglect in DC), the District's federally certified Comprehensive Child Welfare Information System (CCWIS). STAAND is a person-centric, AI-enabled platform built on Microsoft Dynamics 365 and the Power Platform hosted in a Government Community Cloud (GCC) tenant, with Azure services operating in Microsoft's commercial cloud. It supports CFSA social workers, supervisors, private agency partners, providers, resource parents, and District sister agencies across nine functional modules - Intake and Investigations, Case Management, ICPC, Finance (Contracts, Service Logs, and Fiscal), Provider, Eligibility and Subsidy, Placement, Services, and Management Reports - plus six external portals (Mandated Reporter, MPD, NYTD, OSSE, Resource Parent, and Community). STAAND also fields CORA, an AI assistant supporting natural-language search and AI-assisted contact notes among other use cases. The Resource will own architecture, security design, AI engineering, and the platform-release change cadence required to keep STAAND current and improving. This is a build-and-design role, not an advisory or oversight role. The Resource is expected to personally configure, code, prototype, review, and troubleshoot in the platform while serving as the credible technical voice to CFSA executive leadership, STAAND Product Team, OCTO, Microsoft, and Federal Partners (ACF/Children's Bureau). The Resource will work under the direct supervision of the District DevOps Manager. Scope of Work and Responsibilities 3.1 Solution and Platform Architecture • Own and maintain the authoritative STAAND architecture: logical and physical data models, Dataverse table and relationship design, solution segmentation, environment strategy, and integration topology. • Personally build in the platform - model-driven app configuration, plug-ins and custom APIs (C#/.NET), PCF controls, TypeScript/JavaScript client extensions, Power Fx, and plug-in pipeline optimization. • Establish and enforce architecture standards, design patterns, naming conventions, and technical debt registers across all modules and portals. • Chair design authority review for significant changes; sign off on solution designs before build. • Diagnose deep platform issues: performance degradation, API and service-protection limits, plug-in execution ordering, solution layering conflicts, storage growth, portal rendering. • Maintain architecture artifacts sufficient to satisfy CCWIS review, federal audit, and District IT governance. 3.2 Cross-Cloud Architecture: GCC and Commercial Azure • Design, document, and harden the boundary between the GCC Dynamics/Power Platform tenant and Azure commercial-cloud services. • Define what data may traverse that boundary, in what form (de-identified, tokenized, aggregated, or full record), under what authorization, and with what logging - including explicit architectural boundaries for protected data categories such as Medicaid Enrollment. • Implement cross-tenant identity, managed identities, service principals, Key Vault secret lifecycle, private networking, and API gateway patterns. • Maintain a defensible position on data residency and FedRAMP authorization boundaries for every commercial-cloud service in use, and present that position to auditors and federal reviewers. 3.3 AI and Agentic Development • Serve as hands-on technical lead for CFSA's AI capability, including CORA and its expansion into agentic workflows. • Design, build, evaluate, and productionize agents in Azure AI Foundry and Copilot Studio: tool and function calling, orchestration and multi-agent patterns, grounding and retrieval over Dataverse and document stores, prompt and context engineering, structured output, and human-in-the-loop checkpoints. • Own AI evaluation discipline: golden datasets, automated evals, groundedness and hallucination measurement, regression testing on model or prompt changes, latency and cost benchmarking, controlled rollout. • Manage the AI model lifecycle - track model releases and deprecations, run comparative evaluation before adopting a new model, execute migrations without regression to worker-facing quality. • Implement responsible AI controls appropriate to a child welfare setting: content safety, PII/PHI handling, bias and fairness testing, explainability, audit logging of AI-influenced actions, and clear framing of AI output as decision support rather than decision making. • Support predictive and analytic capability aligned to agency mission priorities, ensuring models are validated, monitored for drift, and governed. • Build reusable AI platform assets - prompt libraries, agent templates, evaluation harnesses, observability dashboards. 3.4 Application and Platform Security • Own the security architecture of STAAND end to end; serve as technical counterpart to the agency ISSO, OCTO security, and District privacy officials. • Apply and evidence compliance with OCTO IT policies (octo.dc.gov/page/it-policies), NIST SP 800-53, FISMA, FedRAMP, HIPAA, 45 CFR 1355 (CCWIS), Title IV-E confidentiality, and District data protection law including DC Code 28-3851 et seq. breach notification obligations. • Design and enforce least privilege: Dataverse business unit and role architecture, row/column-level security, portal web roles and table permissions, privileged access management, separation of duties for finance and eligibility functions. • Lead secure SDLC: threat modeling, secure code review, static and dynamic analysis, dependency and supply-chain scanning, secrets management, remediation tracking with severity-based SLAs. • Support penetration tests, vulnerability assessments, and audit response; own STAAND-assigned POA&M items. • Define AI-specific security requirements: prompt injection defenses, tool-permission scoping, data exfiltration prevention, agent action auditing. • Contribute to incident response, continuity, and disaster recovery planning; validate RTO/RPO through periodic exercises. 3.5 Continuous Improvement and Release Management • Own the STAAND change pipeline from enhancement request through design, build, test, release, and post-release verification, including published release notes and coordination with the CISA training organization. • Plan and execute against Microsoft's Dynamics 365 biannual release waves and Power Platform service updates: early-access testing in a dedicated environment, deprecation and breaking-change assessment, and a documented impact and remediation plan per wave. • Evaluate new platform, Azure, and AI capabilities against the STAAND roadmap; run structured proofs of concept and make evidence-based adopt / trial / hold / retire recommendations. • Maintain a rolling multi-year technical roadmap balancing stabilization, platform health, security, federal compliance, and innovation. • Drive performance, reliability, and cost optimization - capacity and license consumption, Azure spend, storage tiering, API efficiency. • Advance DevOps maturity: source-controlled solutions, automated build and deploy pipelines, environment refresh, automated regression testing, release quality metrics. • Maintain and report the technical issues and risk register with mitigation owners and timelines. 3.6 Data, Interoperability, and Federal Reporting • Own the data architecture supporting AFCARS, NCANDS, NYTD, CFSR, and Title IV-E reporting, including lineage, quality rules, exception handling, and submission validation. • Design and maintain bi-directional exchanges with District and external partners consistent with CCWIS interoperability requirements. • Establish automated data quality controls, duplicate person detection and merge integrity, and reconciliation with legacy records. 3.7 Stakeholder and Senior Leadership Engagement • Translate between social work practice and technical architecture; observe real workflow with intake workers, investigators, case managers, placement staff, and fiscal teams before designing for it. • Brief the CFSA IT Steering Committee Members, CIO, STAAND Product Leadership, OCTO leadership, Council oversight staff, court monitors, and ACF/Children's Bureau reviewers, calibrating to each audience. • Serve as principal technical liaison to Microsoft (Industry Solutions Delivery, Customer Success, product groups) and to implementation and support vendors; hold them to architectural and quality standards. • Author decision memos, architecture decision records, briefing decks, and federal reporting content requiring minimal editing. • Mentor CFSA staff and other contract resources; build internal capability and reduce single-point-of-failure dependency. Dynamics 365 Customer Service (MB-230) Microsoft Certified: Power Platform Solution Architect Expert (PL-600) Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical discipline from an accr Progressive IT experience Solution or enterprise architecture on enterprise-scale, mission-critical systems Microsoft Dynamics 365 CE / Dataverse / Power Platform - hands-on Lead or principal architect on full D365 implementation lifecycles (min. 2 lifecycles) Microsoft Azure architecture and hands-on build (PaaS integration, data, identity) Generative AI / agentic development in production - Azure AI Foundry, Azure OpenAI, or Copilot Studio RAG / grounding, tool calling, agent orchestration, and AI evaluation methodology Application security in a regulated environment (NIST 800-53 or equivalent, threat modeling, secure SDLC) Government cloud delivery - GCC, GCC High, or Azure Government Pro-code D365 extensibility - C#/.NET plug-ins, custom APIs . click apply for full job details
We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. Job Description Summary: The Senior Systems Analyst Epic will play a crucial role in designing, building, testing, training, deploying, and supporting Epic applications to optimize clinical and operational workflows. This position requires a deep understanding of healthcare workflows, system integration, and project management to ensure the efficient operation of the healthcare system's IT infrastructure. Partners closely with operational leaders and end users to translate business requirements into reliable Epic configuration, integrations, and reporting-supporting safe patient care, efficient revenue cycle operations, and regulatory compliance while achieving Service Level Agreements (SLAs) relative to the supported applications. Provides technical expertise by enforcing the vision of the application and safeguarding the integrity and security of the application environment and training in collaboration and partnership with architects, tech leads and engineers. Leads process improvement activities related to Application Management and training for Epic and related third party applications. The Senior System Analyst Epic encompasses two closely related role focus areas: Application Build and Application Training. While responsibilities are similar, emphasis may vary based on team assignment. Responsibilities And Duties: Both RolesSystem Analysis and Design: Engage stakeholders to gather and refine requirements, map current-state workflows, and design Epic build that aligns with operational goals and policy. Create and maintain specifications, decision logs, and design documents for clear traceability and change control. Conduct gap analyses to identify configuration or workflow changes needed for upgrades, regulatory changes, or new initiatives. Project Management: Manage smaller projects related to system implementations and upgrades. Strong knowledge with various project management approaches, e.g. waterfall, agile. Ability to lead project teams in project methodology. Training and Documentation: Create and maintain comprehensive documentation for system configurations and processes. Mentor junior analysts and provide guidance on best practices. Application Build RoleApplication Build, Configuration, and Deployment: Configure records, master files, and tools (e.g., profiles, rules, security classes, workflows) aligned to approved design. Maintain environment parity and adhere to change management and build naming conventions. Develop and execute unit, integrated, and UAT test plans; log and resolve defects; document test evidence. Validate interfaces, printing, reporting, and downstream workflows; confirm regression coverage in upgrades. Coordinate release management, environment moves, and downtime procedures for upgrades and patches. Provide go-live and post-live hypercare, including rounding, office hours, tip sheets, and at-the-elbow support. Manage service requests and incidents ina timely manner; meet SLAs through robust triage and root-cause analysis. Provide advanced support for (Epic, Workday, Kronos,) and other applications. Collaborate with IT and clinical teams to integrate across IT portfolio with other IT systems (e.g., Epic, 3rd Party Imaging Applications, AI, etc.). Integration and Data Management: Collaborate with interface teams on HL7, FHIR, PDFs, CCD/CCDA, and other exchange workflows. Partner with analytics teams on Clarity/Caboodle extracts, registries, and operational reporting needs. Ensure data integrity and metric definitions are consistent across modules and stakeholders. Compliance & Risk: Support regulatory readiness (e.g., CMS, Joint Commission), audit needs, and policy alignment. Embed privacy/security controls, including sensitive record handling and audit trails. Contribute to ITIL-aligned incident, problem, change, and configuration management processes. Application Training RoleCurriculum Management: Design and implement customized training programs aligned with organizational strategy and operational goals Oversee maintenance, enhancement, and governance of the CareConnect curriculum Ensure curriculum accuracy, consistency, and alignment with organizational priorities Incorporate learner and stakeholder feedback into ongoing curriculum improvements Oversee the build, maintenance, and readiness of training environments Ensure clear and timely communication related to system releases and upgrades Request/Incident Management: Manage end user training related requests and incidents with professionalism and efficiency Evaluate, prioritize, assign, and resolve requests within established service expectations Document incidents and resolutions to support a comprehensive knowledge base Collaborate with IT and operational partners to identify trends and implement preventative improvements Refine support processes to enhance service quality and user experience Minimum Qualifications: Bachelor's Degree Additional Job Description: Degree in computer science, Information Technology, Healthcare Administration, or a related field. Minimum of 5-7 years of experience in system analysis and support within a healthcare environment. In lieu of degree, 10+ years of experience in system analysis and support within a healthcare environment. SPECIALIZED KNOWLEDGE Required for Both Roles: Experience with Epic application(s) and healthcare workflows (clinical, revenue cycle or IT experience). Strong requirements gathering, workflow design, and testing skills. Familiarity with ITIL, change control, SDLC practices, system governance, and waterfall/agile project methodologies. Ability to communicate with clinical, operational stakeholders, and managed service providers and produce clear documentation. Proven track record of managing complex projects and leading cross-functional teams. Requirements for Application Training role: Epic Training Environment Build certified and 3+ years of experience 2 Epic Application Principal Trainer certifications Preferred for Application Build role: Current Epic Certification or Proficiency in one or more relevant module(s) (e.g., HB, PB, Cadence, Referrals, Orders, ClinDoc, Clarity). Seeking professionals with Beacon and Research experience and certifications. 3+ years of build Epic build and configuration experience Previous experience in a leadership or supervisory role. Experience with system integration, HL7, FHIR, and interface testing. Exposure to SQL/Clarity, Caboodle, SlicerDicer, or reporting tools (e.g., Radar, Reporting Workbench). Prior work in patient access, billing, coding, finance, or clinical operations (for respective modules). DESIRED ATTRIBUTES ITIL Foundation certification desired not required. Certifications in one or more Epic applications Experience in a large healthcare system or hospital setting. Experience with other healthcare applications and systems. Knowledge of healthcare regulations and compliance standards. Familiarity with cloud computing platforms (e.g., AWS, Azure). Experience with business intelligence and analytics tools. Advanced degree (Master's or higher) in a related field is a plus. Work Shift: Day Scheduled Weekly Hours : 40 Department IS Ambulatory Join us! if your passion is to work in a caring environment if you believe that learning is a life-long process if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment Remote Work Disclaimer: Positions marked as remote are only eligible for work from Ohio.
10/27/2026
Full time
We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. Job Description Summary: The Senior Systems Analyst Epic will play a crucial role in designing, building, testing, training, deploying, and supporting Epic applications to optimize clinical and operational workflows. This position requires a deep understanding of healthcare workflows, system integration, and project management to ensure the efficient operation of the healthcare system's IT infrastructure. Partners closely with operational leaders and end users to translate business requirements into reliable Epic configuration, integrations, and reporting-supporting safe patient care, efficient revenue cycle operations, and regulatory compliance while achieving Service Level Agreements (SLAs) relative to the supported applications. Provides technical expertise by enforcing the vision of the application and safeguarding the integrity and security of the application environment and training in collaboration and partnership with architects, tech leads and engineers. Leads process improvement activities related to Application Management and training for Epic and related third party applications. The Senior System Analyst Epic encompasses two closely related role focus areas: Application Build and Application Training. While responsibilities are similar, emphasis may vary based on team assignment. Responsibilities And Duties: Both RolesSystem Analysis and Design: Engage stakeholders to gather and refine requirements, map current-state workflows, and design Epic build that aligns with operational goals and policy. Create and maintain specifications, decision logs, and design documents for clear traceability and change control. Conduct gap analyses to identify configuration or workflow changes needed for upgrades, regulatory changes, or new initiatives. Project Management: Manage smaller projects related to system implementations and upgrades. Strong knowledge with various project management approaches, e.g. waterfall, agile. Ability to lead project teams in project methodology. Training and Documentation: Create and maintain comprehensive documentation for system configurations and processes. Mentor junior analysts and provide guidance on best practices. Application Build RoleApplication Build, Configuration, and Deployment: Configure records, master files, and tools (e.g., profiles, rules, security classes, workflows) aligned to approved design. Maintain environment parity and adhere to change management and build naming conventions. Develop and execute unit, integrated, and UAT test plans; log and resolve defects; document test evidence. Validate interfaces, printing, reporting, and downstream workflows; confirm regression coverage in upgrades. Coordinate release management, environment moves, and downtime procedures for upgrades and patches. Provide go-live and post-live hypercare, including rounding, office hours, tip sheets, and at-the-elbow support. Manage service requests and incidents ina timely manner; meet SLAs through robust triage and root-cause analysis. Provide advanced support for (Epic, Workday, Kronos,) and other applications. Collaborate with IT and clinical teams to integrate across IT portfolio with other IT systems (e.g., Epic, 3rd Party Imaging Applications, AI, etc.). Integration and Data Management: Collaborate with interface teams on HL7, FHIR, PDFs, CCD/CCDA, and other exchange workflows. Partner with analytics teams on Clarity/Caboodle extracts, registries, and operational reporting needs. Ensure data integrity and metric definitions are consistent across modules and stakeholders. Compliance & Risk: Support regulatory readiness (e.g., CMS, Joint Commission), audit needs, and policy alignment. Embed privacy/security controls, including sensitive record handling and audit trails. Contribute to ITIL-aligned incident, problem, change, and configuration management processes. Application Training RoleCurriculum Management: Design and implement customized training programs aligned with organizational strategy and operational goals Oversee maintenance, enhancement, and governance of the CareConnect curriculum Ensure curriculum accuracy, consistency, and alignment with organizational priorities Incorporate learner and stakeholder feedback into ongoing curriculum improvements Oversee the build, maintenance, and readiness of training environments Ensure clear and timely communication related to system releases and upgrades Request/Incident Management: Manage end user training related requests and incidents with professionalism and efficiency Evaluate, prioritize, assign, and resolve requests within established service expectations Document incidents and resolutions to support a comprehensive knowledge base Collaborate with IT and operational partners to identify trends and implement preventative improvements Refine support processes to enhance service quality and user experience Minimum Qualifications: Bachelor's Degree Additional Job Description: Degree in computer science, Information Technology, Healthcare Administration, or a related field. Minimum of 5-7 years of experience in system analysis and support within a healthcare environment. In lieu of degree, 10+ years of experience in system analysis and support within a healthcare environment. SPECIALIZED KNOWLEDGE Required for Both Roles: Experience with Epic application(s) and healthcare workflows (clinical, revenue cycle or IT experience). Strong requirements gathering, workflow design, and testing skills. Familiarity with ITIL, change control, SDLC practices, system governance, and waterfall/agile project methodologies. Ability to communicate with clinical, operational stakeholders, and managed service providers and produce clear documentation. Proven track record of managing complex projects and leading cross-functional teams. Requirements for Application Training role: Epic Training Environment Build certified and 3+ years of experience 2 Epic Application Principal Trainer certifications Preferred for Application Build role: Current Epic Certification or Proficiency in one or more relevant module(s) (e.g., HB, PB, Cadence, Referrals, Orders, ClinDoc, Clarity). Seeking professionals with Beacon and Research experience and certifications. 3+ years of build Epic build and configuration experience Previous experience in a leadership or supervisory role. Experience with system integration, HL7, FHIR, and interface testing. Exposure to SQL/Clarity, Caboodle, SlicerDicer, or reporting tools (e.g., Radar, Reporting Workbench). Prior work in patient access, billing, coding, finance, or clinical operations (for respective modules). DESIRED ATTRIBUTES ITIL Foundation certification desired not required. Certifications in one or more Epic applications Experience in a large healthcare system or hospital setting. Experience with other healthcare applications and systems. Knowledge of healthcare regulations and compliance standards. Familiarity with cloud computing platforms (e.g., AWS, Azure). Experience with business intelligence and analytics tools. Advanced degree (Master's or higher) in a related field is a plus. Work Shift: Day Scheduled Weekly Hours : 40 Department IS Ambulatory Join us! if your passion is to work in a caring environment if you believe that learning is a life-long process if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment Remote Work Disclaimer: Positions marked as remote are only eligible for work from Ohio.
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: The Principal Automation & AI Engineer serves as the technical leader responsible for building the automation, AI, analytics, and operational intelligence capabilities that enable Cloud & Infrastructure leadership team to effectively govern a global technology organization. The role drives operational excellence, financial accountability, service reliability, asset optimization, workforce productivity, and strategic decision-making through scalable engineering solutions and data-driven insights. Responsibilities of the Role: Intelligent Automation & AI Engineering Design, develop, test, and deploy RPA workflows and AI/ML models to automate complex business processes across multiple teams. Design, develop, and deploy enterprise-scale automation solutions supporting cloud, infrastructure, service management, asset management, and cloud financial operations. Build AI-powered workflows, copilots, and intelligent agents that automate routine operational activities and improve decision-making. Develop reusable automation frameworks, APIs, integrations, and self-service capabilities across technology platforms. Leverage machine learning, generative AI, and predictive analytics to identify risks, anomalies, optimization opportunities, and operational trends. Establish development standards, testing practices, security controls, and governance processes for automation and AI solutions. Requirements of the Role: Solid Experience: Minimum 6-9 years of progressive experience in automation engineering, software development, or a related technical discipline, with at least 3 years focused on RPA, AI/ML, or intelligent automation solutions. AI/ML Engineering: Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services. Software Engineering: Strong programming skills in Python, C#, .NET, PowerShell, or similar languages, with experience building REST APIs, microservices, and data pipelines. DevOps & CI/CD: Experience building and managing CI/CD pipelines, version control (Git), and DevOps practices tailored for automation development and deployment. Cloud Platforms: Working knowledge of cloud platforms (AWS, Azure , Snowflake preferred), including containerization, serverless computing, and cloud-native automation patterns Integration & APIs: Experience developing integrations using APIs, middleware, iPaaS solutions, and enterprise service bus technologies, including ServiceNow and ITSM platform integrations. Problem-Solving & Debugging: Strong analytical and debugging skills with the ability to diagnose complex technical issues across automation workflows, integrations, and AI models. Agile & Scrum: Experience contributing to Agile ceremonies, managing technical backlog items, and delivering iteratively in cross-functional teams. Coaching & Guidance: Ability to mentor and coach junior engineers, conduct code reviews, and promote engineering excellence within the team. Documentation & Communication: Strong written and verbal communication skills for creating technical design documents, runbooks, architecture diagrams, and stakeholder-facing presentations. Education: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field is preferred; equivalent practical experience will also be considered. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline is a plus. Familiarity with Agile methodologies or cloud platforms, or related certifications, is beneficial. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
10/27/2026
Full time
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: The Principal Automation & AI Engineer serves as the technical leader responsible for building the automation, AI, analytics, and operational intelligence capabilities that enable Cloud & Infrastructure leadership team to effectively govern a global technology organization. The role drives operational excellence, financial accountability, service reliability, asset optimization, workforce productivity, and strategic decision-making through scalable engineering solutions and data-driven insights. Responsibilities of the Role: Intelligent Automation & AI Engineering Design, develop, test, and deploy RPA workflows and AI/ML models to automate complex business processes across multiple teams. Design, develop, and deploy enterprise-scale automation solutions supporting cloud, infrastructure, service management, asset management, and cloud financial operations. Build AI-powered workflows, copilots, and intelligent agents that automate routine operational activities and improve decision-making. Develop reusable automation frameworks, APIs, integrations, and self-service capabilities across technology platforms. Leverage machine learning, generative AI, and predictive analytics to identify risks, anomalies, optimization opportunities, and operational trends. Establish development standards, testing practices, security controls, and governance processes for automation and AI solutions. Requirements of the Role: Solid Experience: Minimum 6-9 years of progressive experience in automation engineering, software development, or a related technical discipline, with at least 3 years focused on RPA, AI/ML, or intelligent automation solutions. AI/ML Engineering: Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services. Software Engineering: Strong programming skills in Python, C#, .NET, PowerShell, or similar languages, with experience building REST APIs, microservices, and data pipelines. DevOps & CI/CD: Experience building and managing CI/CD pipelines, version control (Git), and DevOps practices tailored for automation development and deployment. Cloud Platforms: Working knowledge of cloud platforms (AWS, Azure , Snowflake preferred), including containerization, serverless computing, and cloud-native automation patterns Integration & APIs: Experience developing integrations using APIs, middleware, iPaaS solutions, and enterprise service bus technologies, including ServiceNow and ITSM platform integrations. Problem-Solving & Debugging: Strong analytical and debugging skills with the ability to diagnose complex technical issues across automation workflows, integrations, and AI models. Agile & Scrum: Experience contributing to Agile ceremonies, managing technical backlog items, and delivering iteratively in cross-functional teams. Coaching & Guidance: Ability to mentor and coach junior engineers, conduct code reviews, and promote engineering excellence within the team. Documentation & Communication: Strong written and verbal communication skills for creating technical design documents, runbooks, architecture diagrams, and stakeholder-facing presentations. Education: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field is preferred; equivalent practical experience will also be considered. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline is a plus. Familiarity with Agile methodologies or cloud platforms, or related certifications, is beneficial. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. " This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. " General Summary: The Manager of Vendor Governance, FinOps, Asset Management & Contract Management serves as the centralized control-plane governance function within Family Dollar's Infrastructure Engineering organization. This is a unique, high-trust role designed with intentional independence - operating without dedicated direct reports to preserve separation of duties, eliminate conflicts of interest, and ensure objective oversight across all infrastructure engineering teams and BPO partners. This role provides the VP of Infrastructure Engineering & Operations with an independent, consolidated view of vendor performance, technology spend, asset health, and contractual obligations across all domains: Hybrid Cloud, Network Engineering, Automation, and Retail/Edge environments. It is the single source of truth for governance intelligence across a multi million infrastructure portfolio spanning 7,400+ stores, 9 distribution centers, 2 data centers, and 3 public cloud platforms. This is not an operational role. It is a governance, intelligence, and accountability function - one that provides executive-level visibility and keeps the infrastructure organization disciplined, cost-effective, and contractually sound. Principal Duties & Responsibilities: Vendor Governance & Performance Management Own the vendor governance framework for all infrastructure technology vendors and service providers Track and report on vendor SLA/KPI compliance across BPO, telecom, hardware, software, and cloud vendors Lead vendor performance reviews (QBRs, MBRs) and escalate performance gaps to the VP and relevant directors Maintain a vendor risk register and flag concentration risks, single-vendor dependencies, and end-of-life exposures Evaluate vendor roadmaps and alignment with Family Dollar's technology strategy Serve as an independent governance bridge between engineering teams and BPO partners - not embedded in either FinOps & Cost Optimization (Cloud + On-Premises) Lead FinOps practice across Azure, GCP, OCI, and on-premises infrastructure Own cost visibility dashboards, chargeback/showback models, and monthly spend reporting for the VP Identify and drive cost optimization opportunities: reserved instances, rightsizing, idle resource elimination, and license rationalization Define and enforce cloud cost governance policies in partnership with engineering teams Monitor cloud spend anomalies and alert leadership to budget variances in real time Maintain multi-year infrastructure cost forecasts and support annual budgeting cycles Partner with Finance to align infrastructure spend to business unit cost allocations Asset Management & Lifecycle Governance Own the end-to-end IT asset lifecycle governance process: procurement, deployment, tracking, and decommission Ensure CMDB accuracy and completeness as the authoritative system of record for all infrastructure assets Maintain hardware refresh schedules and lifecycle dashboards across stores, DCs, data centers, and cloud Partner with engineering teams to identify EoL/EoS risks and drive proactive refresh planning Govern software license entitlements and utilization to prevent compliance exposure Validate BPO asset inventory reporting and reconcile against procurement records Track and report on asset financial depreciation schedules in partnership with Finance Contract Management & Procurement Governance Own and manage all infrastructure technology contracts: renewal calendars, terms, SLAs, and obligations Lead contract renewals, amendments, and renegotiations in partnership with Legal, Procurement, and Finance Maintain a centralized contract repository with renewal triggers, expiration tracking, and risk flags Evaluate vendor proposals and new contracts to ensure alignment with technical and financial requirements Identify contract optimization opportunities: consolidation, renegotiation, and elimination of redundant agreements Enforce contract SLA commitments and hold vendors accountable through structured performance reviews Support RFP / RFI processes for infrastructure technology procurements Executive Reporting & Governance Intelligence Produce monthly and quarterly infrastructure governance dashboards for the VP, covering: vendor health, cost posture, asset lifecycle status, and contract obligations Maintain a unified governance scorecard across all infrastructure domains Prepare executive briefings, board-level summaries, and business case materials as needed Identify and escalate emerging governance risks: compliance gaps, cost overruns, vendor failures, and contractual exposure Develop and maintain governance policies, standards, and procedures for vendor, asset, and contract management BPO Oversight & Accountability Independently validate BPO performance against contracted SLAs and KPIs - separate from engineering directors Audit BPO invoices against contracted rates and service delivery Maintain a BPO performance scorecard and present findings to the VP on a regular cadence Identify BPO delivery gaps and work with the VP to initiate corrective action plans Track BPO-driven cost savings and efficiency commitments against actuals Security & Compliance Governance Support Maintain a mapping of infrastructure assets and vendors to regulatory and compliance frameworks (PCI-DSS, SOX) Track patch compliance and remediation SLAs across managed infrastructure domains Support audit readiness by maintaining governance documentation, contract evidence, and asset records Flag vendor or asset lifecycle risks that create compliance exposure Position Requirements Technical Knowledge Solid understanding of cloud platforms (Azure, GCP, OCI) and hybrid cloud cost structures Familiarity with enterprise infrastructure domains: networking, compute, storage, backup, and cloud Working knowledge of CMDB tooling (ServiceNow or equivalent) and asset lifecycle processes Understanding of software licensing models (perpetual, subscription, consumption-based) Proficiency with FinOps tooling and cloud cost management platforms (e.g., Apptio, CloudHealth, native cloud billing) Governance & Commercial Skills Proven expertise in contract lifecycle management: negotiation, renewal, compliance enforcement Experience building and executing vendor governance frameworks including SLA tracking and QBRs FinOps practitioner experience: chargeback, showback, reserved instance strategy, rightsizing Ability to develop executive-ready dashboards, governance reports, and financial models Strong analytical skills - able to synthesize complex data into actionable insights Familiarity with IT procurement and sourcing best practices Minimum Requirements: Education & Experience Bachelor's degree in Business, Information Technology, Finance, or a related field 8+ years of experience in IT governance, vendor management, FinOps, or IT asset management - within a large enterprise environment 3+ years in a role with direct accountability for technology contracts, vendor performance, or infrastructure cost management Experience operating in a multi-vendor, BPO-partnered IT delivery model Exposure to large-scale retail or distributed enterprise environments strongly preferred Preferred Qualifications: FinOps Certified Practitioner (FinOps Foundation) ITIL v4 Certification - Asset Management or Service Management tracks Certified Technology Procurement Professional (CTPP) or equivalent IAITAM Certified Asset Manager (ICAMP or CHAMP) Experience with ServiceNow ITAM/SAM, Flexera, or Snow Software Prior experience at a large-format retailer (Dollar General, Walmart, Target, etc.) Exposure to TSA (Transition Service Agreement) governance environments "Projected Salary Range: $120,000 - $135,000". Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and makes all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Security Family Dollar
10/27/2026
Full time
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. " This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. " General Summary: The Manager of Vendor Governance, FinOps, Asset Management & Contract Management serves as the centralized control-plane governance function within Family Dollar's Infrastructure Engineering organization. This is a unique, high-trust role designed with intentional independence - operating without dedicated direct reports to preserve separation of duties, eliminate conflicts of interest, and ensure objective oversight across all infrastructure engineering teams and BPO partners. This role provides the VP of Infrastructure Engineering & Operations with an independent, consolidated view of vendor performance, technology spend, asset health, and contractual obligations across all domains: Hybrid Cloud, Network Engineering, Automation, and Retail/Edge environments. It is the single source of truth for governance intelligence across a multi million infrastructure portfolio spanning 7,400+ stores, 9 distribution centers, 2 data centers, and 3 public cloud platforms. This is not an operational role. It is a governance, intelligence, and accountability function - one that provides executive-level visibility and keeps the infrastructure organization disciplined, cost-effective, and contractually sound. Principal Duties & Responsibilities: Vendor Governance & Performance Management Own the vendor governance framework for all infrastructure technology vendors and service providers Track and report on vendor SLA/KPI compliance across BPO, telecom, hardware, software, and cloud vendors Lead vendor performance reviews (QBRs, MBRs) and escalate performance gaps to the VP and relevant directors Maintain a vendor risk register and flag concentration risks, single-vendor dependencies, and end-of-life exposures Evaluate vendor roadmaps and alignment with Family Dollar's technology strategy Serve as an independent governance bridge between engineering teams and BPO partners - not embedded in either FinOps & Cost Optimization (Cloud + On-Premises) Lead FinOps practice across Azure, GCP, OCI, and on-premises infrastructure Own cost visibility dashboards, chargeback/showback models, and monthly spend reporting for the VP Identify and drive cost optimization opportunities: reserved instances, rightsizing, idle resource elimination, and license rationalization Define and enforce cloud cost governance policies in partnership with engineering teams Monitor cloud spend anomalies and alert leadership to budget variances in real time Maintain multi-year infrastructure cost forecasts and support annual budgeting cycles Partner with Finance to align infrastructure spend to business unit cost allocations Asset Management & Lifecycle Governance Own the end-to-end IT asset lifecycle governance process: procurement, deployment, tracking, and decommission Ensure CMDB accuracy and completeness as the authoritative system of record for all infrastructure assets Maintain hardware refresh schedules and lifecycle dashboards across stores, DCs, data centers, and cloud Partner with engineering teams to identify EoL/EoS risks and drive proactive refresh planning Govern software license entitlements and utilization to prevent compliance exposure Validate BPO asset inventory reporting and reconcile against procurement records Track and report on asset financial depreciation schedules in partnership with Finance Contract Management & Procurement Governance Own and manage all infrastructure technology contracts: renewal calendars, terms, SLAs, and obligations Lead contract renewals, amendments, and renegotiations in partnership with Legal, Procurement, and Finance Maintain a centralized contract repository with renewal triggers, expiration tracking, and risk flags Evaluate vendor proposals and new contracts to ensure alignment with technical and financial requirements Identify contract optimization opportunities: consolidation, renegotiation, and elimination of redundant agreements Enforce contract SLA commitments and hold vendors accountable through structured performance reviews Support RFP / RFI processes for infrastructure technology procurements Executive Reporting & Governance Intelligence Produce monthly and quarterly infrastructure governance dashboards for the VP, covering: vendor health, cost posture, asset lifecycle status, and contract obligations Maintain a unified governance scorecard across all infrastructure domains Prepare executive briefings, board-level summaries, and business case materials as needed Identify and escalate emerging governance risks: compliance gaps, cost overruns, vendor failures, and contractual exposure Develop and maintain governance policies, standards, and procedures for vendor, asset, and contract management BPO Oversight & Accountability Independently validate BPO performance against contracted SLAs and KPIs - separate from engineering directors Audit BPO invoices against contracted rates and service delivery Maintain a BPO performance scorecard and present findings to the VP on a regular cadence Identify BPO delivery gaps and work with the VP to initiate corrective action plans Track BPO-driven cost savings and efficiency commitments against actuals Security & Compliance Governance Support Maintain a mapping of infrastructure assets and vendors to regulatory and compliance frameworks (PCI-DSS, SOX) Track patch compliance and remediation SLAs across managed infrastructure domains Support audit readiness by maintaining governance documentation, contract evidence, and asset records Flag vendor or asset lifecycle risks that create compliance exposure Position Requirements Technical Knowledge Solid understanding of cloud platforms (Azure, GCP, OCI) and hybrid cloud cost structures Familiarity with enterprise infrastructure domains: networking, compute, storage, backup, and cloud Working knowledge of CMDB tooling (ServiceNow or equivalent) and asset lifecycle processes Understanding of software licensing models (perpetual, subscription, consumption-based) Proficiency with FinOps tooling and cloud cost management platforms (e.g., Apptio, CloudHealth, native cloud billing) Governance & Commercial Skills Proven expertise in contract lifecycle management: negotiation, renewal, compliance enforcement Experience building and executing vendor governance frameworks including SLA tracking and QBRs FinOps practitioner experience: chargeback, showback, reserved instance strategy, rightsizing Ability to develop executive-ready dashboards, governance reports, and financial models Strong analytical skills - able to synthesize complex data into actionable insights Familiarity with IT procurement and sourcing best practices Minimum Requirements: Education & Experience Bachelor's degree in Business, Information Technology, Finance, or a related field 8+ years of experience in IT governance, vendor management, FinOps, or IT asset management - within a large enterprise environment 3+ years in a role with direct accountability for technology contracts, vendor performance, or infrastructure cost management Experience operating in a multi-vendor, BPO-partnered IT delivery model Exposure to large-scale retail or distributed enterprise environments strongly preferred Preferred Qualifications: FinOps Certified Practitioner (FinOps Foundation) ITIL v4 Certification - Asset Management or Service Management tracks Certified Technology Procurement Professional (CTPP) or equivalent IAITAM Certified Asset Manager (ICAMP or CHAMP) Experience with ServiceNow ITAM/SAM, Flexera, or Snow Software Prior experience at a large-format retailer (Dollar General, Walmart, Target, etc.) Exposure to TSA (Transition Service Agreement) governance environments "Projected Salary Range: $120,000 - $135,000". Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and makes all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Security Family Dollar
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. "This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center." General Summary: The Manager of Vendor Governance, FinOps, Asset Management & Contract Management serves as the centralized control-plane governance function within Family Dollar's Infrastructure Engineering organization. This is a unique, high-trust role designed with intentional independence - operating without dedicated direct reports to preserve separation of duties, eliminate conflicts of interest, and ensure objective oversight across all infrastructure engineering teams and BPO partners. This role provides the VP of Infrastructure Engineering & Operations with an independent, consolidated view of vendor performance, technology spend, asset health, and contractual obligations across all domains: Hybrid Cloud, Network Engineering, Automation, and Retail/Edge environments. It is the single source of truth for governance intelligence across a multi million infrastructure portfolio spanning 7,400+ stores, 9 distribution centers, 2 data centers, and 3 public cloud platforms. This is not an operational role. It is a governance, intelligence, and accountability function - one that provides executive-level visibility and keeps the infrastructure organization disciplined, cost-effective, and contractually sound. Principal Duties & Responsibilities: Vendor Governance & Performance Management Own the vendor governance framework for all infrastructure technology vendors and service providers Track and report on vendor SLA/KPI compliance across BPO, telecom, hardware, software, and cloud vendors Lead vendor performance reviews (QBRs, MBRs) and escalate performance gaps to the VP and relevant directors Maintain a vendor risk register and flag concentration risks, single-vendor dependencies, and end-of-life exposures Evaluate vendor roadmaps and alignment with Family Dollar's technology strategy Serve as an independent governance bridge between engineering teams and BPO partners - not embedded in either FinOps & Cost Optimization (Cloud + On-Premises) Lead FinOps practice across Azure, GCP, OCI, and on-premises infrastructure Own cost visibility dashboards, chargeback/showback models, and monthly spend reporting for the VP Identify and drive cost optimization opportunities: reserved instances, rightsizing, idle resource elimination, and license rationalization Define and enforce cloud cost governance policies in partnership with engineering teams Monitor cloud spend anomalies and alert leadership to budget variances in real time Maintain multi-year infrastructure cost forecasts and support annual budgeting cycles Partner with Finance to align infrastructure spend to business unit cost allocations Asset Management & Lifecycle Governance Own the end-to-end IT asset lifecycle governance process: procurement, deployment, tracking, and decommission Ensure CMDB accuracy and completeness as the authoritative system of record for all infrastructure assets Maintain hardware refresh schedules and lifecycle dashboards across stores, DCs, data centers, and cloud Partner with engineering teams to identify EoL/EoS risks and drive proactive refresh planning Govern software license entitlements and utilization to prevent compliance exposure Validate BPO asset inventory reporting and reconcile against procurement records Track and report on asset financial depreciation schedules in partnership with Finance Contract Management & Procurement Governance Own and manage all infrastructure technology contracts: renewal calendars, terms, SLAs, and obligations Lead contract renewals, amendments, and renegotiations in partnership with Legal, Procurement, and Finance Maintain a centralized contract repository with renewal triggers, expiration tracking, and risk flags Evaluate vendor proposals and new contracts to ensure alignment with technical and financial requirements Identify contract optimization opportunities: consolidation, renegotiation, and elimination of redundant agreements Enforce contract SLA commitments and hold vendors accountable through structured performance reviews Support RFP / RFI processes for infrastructure technology procurements Executive Reporting & Governance Intelligence Produce monthly and quarterly infrastructure governance dashboards for the VP, covering: vendor health, cost posture, asset lifecycle status, and contract obligations Maintain a unified governance scorecard across all infrastructure domains Prepare executive briefings, board-level summaries, and business case materials as needed Identify and escalate emerging governance risks: compliance gaps, cost overruns, vendor failures, and contractual exposure Develop and maintain governance policies, standards, and procedures for vendor, asset, and contract management BPO Oversight & Accountability Independently validate BPO performance against contracted SLAs and KPIs - separate from engineering directors Audit BPO invoices against contracted rates and service delivery Maintain a BPO performance scorecard and present findings to the VP on a regular cadence Identify BPO delivery gaps and work with the VP to initiate corrective action plans Track BPO-driven cost savings and efficiency commitments against actuals Security & Compliance Governance Support Maintain a mapping of infrastructure assets and vendors to regulatory and compliance frameworks (PCI-DSS, SOX) Track patch compliance and remediation SLAs across managed infrastructure domains Support audit readiness by maintaining governance documentation, contract evidence, and asset records Flag vendor or asset lifecycle risks that create compliance exposure Position Requirements Technical Knowledge Solid understanding of cloud platforms (Azure, GCP, OCI) and hybrid cloud cost structures Familiarity with enterprise infrastructure domains: networking, compute, storage, backup, and cloud Working knowledge of CMDB tooling (ServiceNow or equivalent) and asset lifecycle processes Understanding of software licensing models (perpetual, subscription, consumption-based) Proficiency with FinOps tooling and cloud cost management platforms (e.g., Apptio, CloudHealth, native cloud billing) Governance & Commercial Skills Proven expertise in contract lifecycle management: negotiation, renewal, compliance enforcement Experience building and executing vendor governance frameworks including SLA tracking and QBRs FinOps practitioner experience: chargeback, showback, reserved instance strategy, rightsizing Ability to develop executive-ready dashboards, governance reports, and financial models Strong analytical skills - able to synthesize complex data into actionable insights Familiarity with IT procurement and sourcing best practices Minimum Requirements: Education & Experience Bachelor's degree in Business, Information Technology, Finance, or a related field 8+ years of experience in IT governance, vendor management, FinOps, or IT asset management - within a large enterprise environment 3+ years in a role with direct accountability for technology contracts, vendor performance, or infrastructure cost management Experience operating in a multi-vendor, BPO-partnered IT delivery model Exposure to large-scale retail or distributed enterprise environments strongly preferred Preferred Qualifications: FinOps Certified Practitioner (FinOps Foundation) ITIL v4 Certification - Asset Management or Service Management tracks Certified Technology Procurement Professional (CTPP) or equivalent IAITAM Certified Asset Manager (ICAMP or CHAMP) Experience with ServiceNow ITAM/SAM, Flexera, or Snow Software Prior experience at a large-format retailer (Dollar General, Walmart, Target, etc.) Exposure to TSA (Transition Service Agreement) governance environments "Projected Salary Range: $120,000 - $135,000". Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and makes all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Security Family Dollar
10/27/2026
Full time
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. "This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center." General Summary: The Manager of Vendor Governance, FinOps, Asset Management & Contract Management serves as the centralized control-plane governance function within Family Dollar's Infrastructure Engineering organization. This is a unique, high-trust role designed with intentional independence - operating without dedicated direct reports to preserve separation of duties, eliminate conflicts of interest, and ensure objective oversight across all infrastructure engineering teams and BPO partners. This role provides the VP of Infrastructure Engineering & Operations with an independent, consolidated view of vendor performance, technology spend, asset health, and contractual obligations across all domains: Hybrid Cloud, Network Engineering, Automation, and Retail/Edge environments. It is the single source of truth for governance intelligence across a multi million infrastructure portfolio spanning 7,400+ stores, 9 distribution centers, 2 data centers, and 3 public cloud platforms. This is not an operational role. It is a governance, intelligence, and accountability function - one that provides executive-level visibility and keeps the infrastructure organization disciplined, cost-effective, and contractually sound. Principal Duties & Responsibilities: Vendor Governance & Performance Management Own the vendor governance framework for all infrastructure technology vendors and service providers Track and report on vendor SLA/KPI compliance across BPO, telecom, hardware, software, and cloud vendors Lead vendor performance reviews (QBRs, MBRs) and escalate performance gaps to the VP and relevant directors Maintain a vendor risk register and flag concentration risks, single-vendor dependencies, and end-of-life exposures Evaluate vendor roadmaps and alignment with Family Dollar's technology strategy Serve as an independent governance bridge between engineering teams and BPO partners - not embedded in either FinOps & Cost Optimization (Cloud + On-Premises) Lead FinOps practice across Azure, GCP, OCI, and on-premises infrastructure Own cost visibility dashboards, chargeback/showback models, and monthly spend reporting for the VP Identify and drive cost optimization opportunities: reserved instances, rightsizing, idle resource elimination, and license rationalization Define and enforce cloud cost governance policies in partnership with engineering teams Monitor cloud spend anomalies and alert leadership to budget variances in real time Maintain multi-year infrastructure cost forecasts and support annual budgeting cycles Partner with Finance to align infrastructure spend to business unit cost allocations Asset Management & Lifecycle Governance Own the end-to-end IT asset lifecycle governance process: procurement, deployment, tracking, and decommission Ensure CMDB accuracy and completeness as the authoritative system of record for all infrastructure assets Maintain hardware refresh schedules and lifecycle dashboards across stores, DCs, data centers, and cloud Partner with engineering teams to identify EoL/EoS risks and drive proactive refresh planning Govern software license entitlements and utilization to prevent compliance exposure Validate BPO asset inventory reporting and reconcile against procurement records Track and report on asset financial depreciation schedules in partnership with Finance Contract Management & Procurement Governance Own and manage all infrastructure technology contracts: renewal calendars, terms, SLAs, and obligations Lead contract renewals, amendments, and renegotiations in partnership with Legal, Procurement, and Finance Maintain a centralized contract repository with renewal triggers, expiration tracking, and risk flags Evaluate vendor proposals and new contracts to ensure alignment with technical and financial requirements Identify contract optimization opportunities: consolidation, renegotiation, and elimination of redundant agreements Enforce contract SLA commitments and hold vendors accountable through structured performance reviews Support RFP / RFI processes for infrastructure technology procurements Executive Reporting & Governance Intelligence Produce monthly and quarterly infrastructure governance dashboards for the VP, covering: vendor health, cost posture, asset lifecycle status, and contract obligations Maintain a unified governance scorecard across all infrastructure domains Prepare executive briefings, board-level summaries, and business case materials as needed Identify and escalate emerging governance risks: compliance gaps, cost overruns, vendor failures, and contractual exposure Develop and maintain governance policies, standards, and procedures for vendor, asset, and contract management BPO Oversight & Accountability Independently validate BPO performance against contracted SLAs and KPIs - separate from engineering directors Audit BPO invoices against contracted rates and service delivery Maintain a BPO performance scorecard and present findings to the VP on a regular cadence Identify BPO delivery gaps and work with the VP to initiate corrective action plans Track BPO-driven cost savings and efficiency commitments against actuals Security & Compliance Governance Support Maintain a mapping of infrastructure assets and vendors to regulatory and compliance frameworks (PCI-DSS, SOX) Track patch compliance and remediation SLAs across managed infrastructure domains Support audit readiness by maintaining governance documentation, contract evidence, and asset records Flag vendor or asset lifecycle risks that create compliance exposure Position Requirements Technical Knowledge Solid understanding of cloud platforms (Azure, GCP, OCI) and hybrid cloud cost structures Familiarity with enterprise infrastructure domains: networking, compute, storage, backup, and cloud Working knowledge of CMDB tooling (ServiceNow or equivalent) and asset lifecycle processes Understanding of software licensing models (perpetual, subscription, consumption-based) Proficiency with FinOps tooling and cloud cost management platforms (e.g., Apptio, CloudHealth, native cloud billing) Governance & Commercial Skills Proven expertise in contract lifecycle management: negotiation, renewal, compliance enforcement Experience building and executing vendor governance frameworks including SLA tracking and QBRs FinOps practitioner experience: chargeback, showback, reserved instance strategy, rightsizing Ability to develop executive-ready dashboards, governance reports, and financial models Strong analytical skills - able to synthesize complex data into actionable insights Familiarity with IT procurement and sourcing best practices Minimum Requirements: Education & Experience Bachelor's degree in Business, Information Technology, Finance, or a related field 8+ years of experience in IT governance, vendor management, FinOps, or IT asset management - within a large enterprise environment 3+ years in a role with direct accountability for technology contracts, vendor performance, or infrastructure cost management Experience operating in a multi-vendor, BPO-partnered IT delivery model Exposure to large-scale retail or distributed enterprise environments strongly preferred Preferred Qualifications: FinOps Certified Practitioner (FinOps Foundation) ITIL v4 Certification - Asset Management or Service Management tracks Certified Technology Procurement Professional (CTPP) or equivalent IAITAM Certified Asset Manager (ICAMP or CHAMP) Experience with ServiceNow ITAM/SAM, Flexera, or Snow Software Prior experience at a large-format retailer (Dollar General, Walmart, Target, etc.) Exposure to TSA (Transition Service Agreement) governance environments "Projected Salary Range: $120,000 - $135,000". Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and makes all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Security Family Dollar
Space Systems Integration
Colorado Springs, Colorado
Job Description Job Description Space Systems Integration (SSI) is a fast-growing engineering company that provides aerospace solutions to a variety of government and commercial customers. Our employees are forward-thinking, self-directed individuals who are committed to solving our customers' technical challenges. SSI is seeking a Product Support Manager for a role in Colorado Springs, CO. PM&AS/Enterprise Operation & Help Desk Principal Duty You will work in a small, highly empowered team where every team member is directly responsible for the success of the program. Engineering responsibilities span technology domains including space rated hardware, software, sensors, and processors in an extremely fast-paced, responsive development environment. This SETA candidate will directly assist the Government Program Manager (PM) in managing, monitoring, and evaluating the execution of a prime contractor responsible for enterprise-wide Tier 0/1 help desk operations. In this role, you serve as the PM's trusted technical agent, ensuring contractor performance aligns with contractual service level agreements (SLAs), operational metrics, and agency technical standards. The operational scope covers front-line support across modern cloud infrastructure, platforms, antenna and satellite network distribution, core Network Operations Center (NOC) environments, and identity/account management workflows. Role and Responsibilities include: Serves as program advisory lead for extremely time critical technical projects, test projects, or tasks requiring appropriate level technical expertise. Leverages operations experience to assist the program offices in developing and fielding space systems. Act as an operational bridge between the help desk contractor, Tier 2/3 engineering teams, external mission partners, and customer end-users Track, validate, and report on contractor performance against Key Performance Indicators (KPIs) and Service Level Agreements (SLAs)-including First Contact Resolution (FCR), Mean Time to Resolve (MTTR), ticket backlog, and abandonment rates. Identify technical risks, operational bottlenecks, and service delivery failures; draft corrective action recommendations and risk mitigation strategies. Assists acquisition planning, market research, and drafting technical requirements and documents. Coordinates with internal and external stakeholders to verify program needs and identified to meet project goals. Helps the government assess the technical sufficiency, cost, quality, and timely delivery of program deliverables. Confers with engineers to provide technical advice and to assist with problem resolution as needed. Supports management and execution of programs consisting of multiple projects ensures overall program is properly coordinated and efficiently accomplished with the best available resources. Aids in the development of a Monthly Status Report on all support efforts including updates in status and performance, major activities, challenges and opportunities, deliverables, and subcontractor performance. Drafts, reviews, and edits final program reports, documents, and briefings. Supports acquisition planning and development of documents required for systems acquisition. Coordinates with external agencies to include operational units, higher headquarters, Combatant Command (COCOM) staffs, other acquisition activities, and research and development functions. Coordination will include producing, tracking, coordinating all agreements and documentation necessary for the systems to transition seamlessly into a framework for organizing, training, and equipping the United States Space Force Supports and advises acquisition and program management functions, advises government management on design challenges, delivery and integration, and supports system program reviews. Work on high-visibility or mission critical aspects of a given program and perform all functional duties independently. Oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job. Translate complex ideas and data into simple, actionable recommendations or easily differentiated courses of action. Communicate clearly, concisely, and with technical accuracy-oral and written. Required Qualifications: Minimum ten (10) years DoD/IC, or relevant industry work experience. Proven experience and/or qualifications in development and fielding satellite systems. Systems Engineering/IT/Computer Science degree from a program accredited by the Accreditation Board for Engineering and Technology (ABET) or possess a Professional Engineering license. MA/MS/ME degree. Understanding of operational environment, working with USSF Combat Forces Command and corresponding mission user needs. Experience with Electronic warfare principles and operations. Experience fielding systems to user communities. Knowledge of space system engineering, development, and manufacturing. Experience in DoD program management including program development and transition. Experience with Integrated Master Schedules, and risk management Experience with Statements of Work (SOW) and Performance Work Statements (PWS). Strong working knowledge of IT Service Management (ITSM) frameworks (ITIL), enterprise ticketing platforms (e.g., ServiceNow, Remedy, Jira Service Management), and Tier 0/1 escalation tiering. Cloud infrastructure/platform support basics (AWS, Azure, or hybrid enterprise environments). Network operations concepts and satellite/antenna ground network support interfaces. Identity, Credential, and Access Management (ICAM/IAM) processes and directory services (Active Directory, Okta, etc.). Active TS clearance with in-scope T5/SSBI is required, along with SCI eligibility and participation in Continuous Evaluation. Must meet all requirements for SCI and SAP access and be willing to undergo a polygraph examination. Travel is 30%. Desired Qualifications: 5+ years of relevant DoD and/or Industry work experience with SAP and/or SCI. System Engineering Technical Assistance (SETA) to Government program office. Experience with rapid prototyping. Experience with integrated air, space and cyberspace capabilities. Experience developing, deploying, and maintaining ground mission planning architecture and software. Experience with ACAT I/II level acquisition programs. Experience using multivariable optimization in mission planning software systems. Experience in planning and executing test campaigns for space systems. Fluency with IC organizations. ITIL v3/v4 Foundation (or higher). CompTIA Security+ or equivalent DoD 8570/8140 baseline certification. Associate-level Cloud Certification (e.g., AWS Certified Cloud Practitioner / Solutions Architect, Microsoft Azure Fundamentals. Target salary range: $180,000 - $220,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. We offer medical/dental/vision benefits and 401k contribution. Space Systems Integration provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, or any other characteristic protected by federal, state, or local laws.
10/26/2026
Full time
Job Description Job Description Space Systems Integration (SSI) is a fast-growing engineering company that provides aerospace solutions to a variety of government and commercial customers. Our employees are forward-thinking, self-directed individuals who are committed to solving our customers' technical challenges. SSI is seeking a Product Support Manager for a role in Colorado Springs, CO. PM&AS/Enterprise Operation & Help Desk Principal Duty You will work in a small, highly empowered team where every team member is directly responsible for the success of the program. Engineering responsibilities span technology domains including space rated hardware, software, sensors, and processors in an extremely fast-paced, responsive development environment. This SETA candidate will directly assist the Government Program Manager (PM) in managing, monitoring, and evaluating the execution of a prime contractor responsible for enterprise-wide Tier 0/1 help desk operations. In this role, you serve as the PM's trusted technical agent, ensuring contractor performance aligns with contractual service level agreements (SLAs), operational metrics, and agency technical standards. The operational scope covers front-line support across modern cloud infrastructure, platforms, antenna and satellite network distribution, core Network Operations Center (NOC) environments, and identity/account management workflows. Role and Responsibilities include: Serves as program advisory lead for extremely time critical technical projects, test projects, or tasks requiring appropriate level technical expertise. Leverages operations experience to assist the program offices in developing and fielding space systems. Act as an operational bridge between the help desk contractor, Tier 2/3 engineering teams, external mission partners, and customer end-users Track, validate, and report on contractor performance against Key Performance Indicators (KPIs) and Service Level Agreements (SLAs)-including First Contact Resolution (FCR), Mean Time to Resolve (MTTR), ticket backlog, and abandonment rates. Identify technical risks, operational bottlenecks, and service delivery failures; draft corrective action recommendations and risk mitigation strategies. Assists acquisition planning, market research, and drafting technical requirements and documents. Coordinates with internal and external stakeholders to verify program needs and identified to meet project goals. Helps the government assess the technical sufficiency, cost, quality, and timely delivery of program deliverables. Confers with engineers to provide technical advice and to assist with problem resolution as needed. Supports management and execution of programs consisting of multiple projects ensures overall program is properly coordinated and efficiently accomplished with the best available resources. Aids in the development of a Monthly Status Report on all support efforts including updates in status and performance, major activities, challenges and opportunities, deliverables, and subcontractor performance. Drafts, reviews, and edits final program reports, documents, and briefings. Supports acquisition planning and development of documents required for systems acquisition. Coordinates with external agencies to include operational units, higher headquarters, Combatant Command (COCOM) staffs, other acquisition activities, and research and development functions. Coordination will include producing, tracking, coordinating all agreements and documentation necessary for the systems to transition seamlessly into a framework for organizing, training, and equipping the United States Space Force Supports and advises acquisition and program management functions, advises government management on design challenges, delivery and integration, and supports system program reviews. Work on high-visibility or mission critical aspects of a given program and perform all functional duties independently. Oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job. Translate complex ideas and data into simple, actionable recommendations or easily differentiated courses of action. Communicate clearly, concisely, and with technical accuracy-oral and written. Required Qualifications: Minimum ten (10) years DoD/IC, or relevant industry work experience. Proven experience and/or qualifications in development and fielding satellite systems. Systems Engineering/IT/Computer Science degree from a program accredited by the Accreditation Board for Engineering and Technology (ABET) or possess a Professional Engineering license. MA/MS/ME degree. Understanding of operational environment, working with USSF Combat Forces Command and corresponding mission user needs. Experience with Electronic warfare principles and operations. Experience fielding systems to user communities. Knowledge of space system engineering, development, and manufacturing. Experience in DoD program management including program development and transition. Experience with Integrated Master Schedules, and risk management Experience with Statements of Work (SOW) and Performance Work Statements (PWS). Strong working knowledge of IT Service Management (ITSM) frameworks (ITIL), enterprise ticketing platforms (e.g., ServiceNow, Remedy, Jira Service Management), and Tier 0/1 escalation tiering. Cloud infrastructure/platform support basics (AWS, Azure, or hybrid enterprise environments). Network operations concepts and satellite/antenna ground network support interfaces. Identity, Credential, and Access Management (ICAM/IAM) processes and directory services (Active Directory, Okta, etc.). Active TS clearance with in-scope T5/SSBI is required, along with SCI eligibility and participation in Continuous Evaluation. Must meet all requirements for SCI and SAP access and be willing to undergo a polygraph examination. Travel is 30%. Desired Qualifications: 5+ years of relevant DoD and/or Industry work experience with SAP and/or SCI. System Engineering Technical Assistance (SETA) to Government program office. Experience with rapid prototyping. Experience with integrated air, space and cyberspace capabilities. Experience developing, deploying, and maintaining ground mission planning architecture and software. Experience with ACAT I/II level acquisition programs. Experience using multivariable optimization in mission planning software systems. Experience in planning and executing test campaigns for space systems. Fluency with IC organizations. ITIL v3/v4 Foundation (or higher). CompTIA Security+ or equivalent DoD 8570/8140 baseline certification. Associate-level Cloud Certification (e.g., AWS Certified Cloud Practitioner / Solutions Architect, Microsoft Azure Fundamentals. Target salary range: $180,000 - $220,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. We offer medical/dental/vision benefits and 401k contribution. Space Systems Integration provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, or any other characteristic protected by federal, state, or local laws.
Job Description Job Description About Fusemachines Fusemachines is a 12+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. About the role: This is a full-time position for a Principal Data Engineer / Solution Architect specializing in Microsoft Fabric and Azure data architectures to support a fast-moving project for a key client in the Life Sciences / Biotech industry. In this role, you will serve as a senior technical resource responsible for supporting, enhancing, and executing data engineering solutions across Microsoft Fabric, Fabric Data Factory, Microsoft SQL, ADLS Gen2, Databricks Unity Catalog, PySpark in Fabric, and related Azure ecosystem services. The project operates at high velocity, requiring someone who can ramp up quickly, navigate technical ambiguity, and keep active delivery moving seamlessly. You will help stabilize, troubleshoot, and advance an active migration from traditional Azure infrastructure to Microsoft Fabric. Location & Logistics: Candidates must be based in Boston, MA or fully capable of traveling to Boston as required by project milestones, maintaining 100% working time overlap with US East Coast business hours. Qualification / Skill Set Requirement: Core Technical Expertise: 8+ years of hands-on data engineering, data architecture, or complex data platform development experience. Strong, practical experience building, supporting, and troubleshooting data pipelines in Microsoft Fabric and Azure Data Factory (ADF). Advanced proficiency in Microsoft SQL (query development, stored procedures, schema design, indexing, performance tuning) and Python / PySpark in Fabric. Hands-on experience managing and supporting Databricks Unity Catalog (catalog/schema/table organization, access controls, permissions, and governance administration). Deep familiarity with Azure Data Lake Storage Gen2 (ADLS Gen2), including data organization, security, and cloud service integrations. Architecture & Migration Experience: Proven experience supporting or leading platform migrations, modernizations, or transitions (specifically Azure-to-Microsoft Fabric). Familiarity with medallion architecture, lakehouse patterns, and modern data warehouse design. Experience with Azure administration activities supporting data platforms (access management, service configuration, and monitoring). Industry & Domain Experience: Required: Prior hands-on experience working with Life Sciences, pharmaceutical, biotechnology, medical device, clinical, or regulatory data environments. Knowledge of appropriate data handling, quality, compliance awareness, and business context in regulated settings. Logistics & Operating Style: Based in Boston, MA or willing/able to travel to Boston, MA for client engagements and alignment meetings. Full working time overlap with US East Coast business hours (ET). Demonstrated ability to operate effectively in a startup-speed environment with shifting priorities, tight timelines, and minimal ramp-up time. Certifications Preferred: Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Fabric Data Engineer Associate Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure AI Engineer Associate: nice to have Responsibilities Fabric & Pipeline Engineering: Design, build, enhance, and support scalable data pipelines and integrations using Microsoft Fabric Data Factory, PySpark in Fabric, and Azure Data Factory. Migration Support & Stabilization: Drive active migration efforts to Microsoft Fabric, including pipeline transition, validation, performance tuning, and operational stabilization. Databricks Governance: Manage and organize Databricks Unity Catalog structures, permissions, and access control policies. Data Asset Management: Develop and optimize Microsoft SQL data assets, complex stored procedures, queries, and ADLS Gen2 storage layers. Troubleshooting & Quality Assurance: Quickly diagnose and resolve issues across data pipelines, SQL queries, Fabric PySpark notebooks, Unity Catalog, and cloud integration layers. Technical Leadership & Knowledge Transfer: Assist with knowledge transfer from outgoing project resources, document technical designs and operational workflows, and mentor delivery team members. Stakeholder Collaboration: Partner closely with technical, project, and business stakeholders to translate complex requirements into reliable, compliant data solutions during US Eastern business hours. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status Powered by JazzHR 1nIuVU2Wn6
10/26/2026
Full time
Job Description Job Description About Fusemachines Fusemachines is a 12+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. About the role: This is a full-time position for a Principal Data Engineer / Solution Architect specializing in Microsoft Fabric and Azure data architectures to support a fast-moving project for a key client in the Life Sciences / Biotech industry. In this role, you will serve as a senior technical resource responsible for supporting, enhancing, and executing data engineering solutions across Microsoft Fabric, Fabric Data Factory, Microsoft SQL, ADLS Gen2, Databricks Unity Catalog, PySpark in Fabric, and related Azure ecosystem services. The project operates at high velocity, requiring someone who can ramp up quickly, navigate technical ambiguity, and keep active delivery moving seamlessly. You will help stabilize, troubleshoot, and advance an active migration from traditional Azure infrastructure to Microsoft Fabric. Location & Logistics: Candidates must be based in Boston, MA or fully capable of traveling to Boston as required by project milestones, maintaining 100% working time overlap with US East Coast business hours. Qualification / Skill Set Requirement: Core Technical Expertise: 8+ years of hands-on data engineering, data architecture, or complex data platform development experience. Strong, practical experience building, supporting, and troubleshooting data pipelines in Microsoft Fabric and Azure Data Factory (ADF). Advanced proficiency in Microsoft SQL (query development, stored procedures, schema design, indexing, performance tuning) and Python / PySpark in Fabric. Hands-on experience managing and supporting Databricks Unity Catalog (catalog/schema/table organization, access controls, permissions, and governance administration). Deep familiarity with Azure Data Lake Storage Gen2 (ADLS Gen2), including data organization, security, and cloud service integrations. Architecture & Migration Experience: Proven experience supporting or leading platform migrations, modernizations, or transitions (specifically Azure-to-Microsoft Fabric). Familiarity with medallion architecture, lakehouse patterns, and modern data warehouse design. Experience with Azure administration activities supporting data platforms (access management, service configuration, and monitoring). Industry & Domain Experience: Required: Prior hands-on experience working with Life Sciences, pharmaceutical, biotechnology, medical device, clinical, or regulatory data environments. Knowledge of appropriate data handling, quality, compliance awareness, and business context in regulated settings. Logistics & Operating Style: Based in Boston, MA or willing/able to travel to Boston, MA for client engagements and alignment meetings. Full working time overlap with US East Coast business hours (ET). Demonstrated ability to operate effectively in a startup-speed environment with shifting priorities, tight timelines, and minimal ramp-up time. Certifications Preferred: Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Fabric Data Engineer Associate Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure AI Engineer Associate: nice to have Responsibilities Fabric & Pipeline Engineering: Design, build, enhance, and support scalable data pipelines and integrations using Microsoft Fabric Data Factory, PySpark in Fabric, and Azure Data Factory. Migration Support & Stabilization: Drive active migration efforts to Microsoft Fabric, including pipeline transition, validation, performance tuning, and operational stabilization. Databricks Governance: Manage and organize Databricks Unity Catalog structures, permissions, and access control policies. Data Asset Management: Develop and optimize Microsoft SQL data assets, complex stored procedures, queries, and ADLS Gen2 storage layers. Troubleshooting & Quality Assurance: Quickly diagnose and resolve issues across data pipelines, SQL queries, Fabric PySpark notebooks, Unity Catalog, and cloud integration layers. Technical Leadership & Knowledge Transfer: Assist with knowledge transfer from outgoing project resources, document technical designs and operational workflows, and mentor delivery team members. Stakeholder Collaboration: Partner closely with technical, project, and business stakeholders to translate complex requirements into reliable, compliant data solutions during US Eastern business hours. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status Powered by JazzHR 1nIuVU2Wn6
Job Description Job Description At ALLERE GROUP , we pride ourselves in creating the perfect match for our candidates. We work tirelessly to build relationships with top companies across the nation, so we always have exciting opportunities for the right candidates. If you are excited about emerging technologies and would love to be a part of a progressive company, we want to talk to you! Job Title: Data Security Architect Location: Allentown, Pa , Providence RI Job Description The client is seeking a highly skilled Data Security Principal Architect to join our Cybersecurity organization. The Data Security Principal Architect will serve as a strategic leader and technical expert, responsible for defining and implementing robust data protection frameworks across our digital estate. This hybrid role bridges traditional Microsoft Information Protection and compliance tools with modern AI-centric data security practices, including encryption for LLM pipelines, secure vector stores, and legacy data remediation. This individual will collaborate closely with Security Engineering, Data Governance, Cloud Ops, and AI/ML teams to secure data throughout its lifecycle. Responsibilities Define and own the data protection strategy across structured, semi-structured, and unstructured data. Align with regulatory, legal, and business mandates (e.g., NERC, SOX, CCPA, GDPR). Architect and deploy Azure Purview for data classification, and insider risk management policies. Lead secure implementation of AI Data Pipelines (RAG, Vector DBs), TDE for SQL workloads, and explore applicability of Fully Homomorphic Encryption (FHE) and Differential Privacy (DP) for AI/LLM pipelines. Develop strategies for legacy data de-duplication, archiving, and migration. Evaluate long-term retention risk and optimize lifecycle policies. Implement and manage DLP rules across email, endpoints, cloud storage, and collaboration platforms (e.g., Microsoft 365, SharePoint). Provide architectural guidance to product teams and AI/ML engineers. Author security patterns, threat models, and playbooks. Evaluate and integrate third-party tools for data discovery, monitoring, and tokenization. Drive automation around classification and response. Define DSPM Strategy and Architecture. Define Data Incident Protocol and Playbook. Performs other duties as assigned. Comply with all policies and standards. Qualifications 10+ years in information security or date architecture roles. Previous experience with utilities or highly regulated industries. Working knowledge of structured data protection in data lakes or Azure Synapse. Experience contributing to LLM security or responsible AI design patterns. SANS/GIAC, CISSP, or Azure Security certification. Experience with legacy data cleanup initiatives, e.g., tape archive migration. Experience with DSPM platform. Strong understanding of cryptographic primitives and modern data security standards (AES, SHA, TLS, etc.) as well as an understanding of proposed quantum ready cryptography standards. Excellent communication skills and the ability to influence technical and executive stakeholders. Demonstrated ability to assess risk trade-offs between security, usability, and operational efficiency. Deep interest in AI safety, responsible data stewardship, and future-proofing sensitive workloads ALLERE GROUP is a proud woman-owned business (WBENC certified) and active supporters of numerous philanthropic, volunteer, and fundraising endeavors. ALLERE GROUP offers direct hire, contract to hire, and statement of work placements. We offer access to employer healthcare benefits, and a 401k retirement plan. Allere Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
10/26/2026
Full time
Job Description Job Description At ALLERE GROUP , we pride ourselves in creating the perfect match for our candidates. We work tirelessly to build relationships with top companies across the nation, so we always have exciting opportunities for the right candidates. If you are excited about emerging technologies and would love to be a part of a progressive company, we want to talk to you! Job Title: Data Security Architect Location: Allentown, Pa , Providence RI Job Description The client is seeking a highly skilled Data Security Principal Architect to join our Cybersecurity organization. The Data Security Principal Architect will serve as a strategic leader and technical expert, responsible for defining and implementing robust data protection frameworks across our digital estate. This hybrid role bridges traditional Microsoft Information Protection and compliance tools with modern AI-centric data security practices, including encryption for LLM pipelines, secure vector stores, and legacy data remediation. This individual will collaborate closely with Security Engineering, Data Governance, Cloud Ops, and AI/ML teams to secure data throughout its lifecycle. Responsibilities Define and own the data protection strategy across structured, semi-structured, and unstructured data. Align with regulatory, legal, and business mandates (e.g., NERC, SOX, CCPA, GDPR). Architect and deploy Azure Purview for data classification, and insider risk management policies. Lead secure implementation of AI Data Pipelines (RAG, Vector DBs), TDE for SQL workloads, and explore applicability of Fully Homomorphic Encryption (FHE) and Differential Privacy (DP) for AI/LLM pipelines. Develop strategies for legacy data de-duplication, archiving, and migration. Evaluate long-term retention risk and optimize lifecycle policies. Implement and manage DLP rules across email, endpoints, cloud storage, and collaboration platforms (e.g., Microsoft 365, SharePoint). Provide architectural guidance to product teams and AI/ML engineers. Author security patterns, threat models, and playbooks. Evaluate and integrate third-party tools for data discovery, monitoring, and tokenization. Drive automation around classification and response. Define DSPM Strategy and Architecture. Define Data Incident Protocol and Playbook. Performs other duties as assigned. Comply with all policies and standards. Qualifications 10+ years in information security or date architecture roles. Previous experience with utilities or highly regulated industries. Working knowledge of structured data protection in data lakes or Azure Synapse. Experience contributing to LLM security or responsible AI design patterns. SANS/GIAC, CISSP, or Azure Security certification. Experience with legacy data cleanup initiatives, e.g., tape archive migration. Experience with DSPM platform. Strong understanding of cryptographic primitives and modern data security standards (AES, SHA, TLS, etc.) as well as an understanding of proposed quantum ready cryptography standards. Excellent communication skills and the ability to influence technical and executive stakeholders. Demonstrated ability to assess risk trade-offs between security, usability, and operational efficiency. Deep interest in AI safety, responsible data stewardship, and future-proofing sensitive workloads ALLERE GROUP is a proud woman-owned business (WBENC certified) and active supporters of numerous philanthropic, volunteer, and fundraising endeavors. ALLERE GROUP offers direct hire, contract to hire, and statement of work placements. We offer access to employer healthcare benefits, and a 401k retirement plan. Allere Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications. Prototype in code. Ship working React/TypeScript implementations, not mockups - then land them in production with the product teams. Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces. Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces. Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions. Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership. Establish reusable design patterns and a component vocabulary for AI applications across the organization. Drive adoption: instrument what you ship, watch real usage, and iterate daily. Required qualifications: 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product. Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes. Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft. Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management. Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events. Experience running user research and usability testing, and acting on the results. Strong software hygiene: Git, code review, testing, CI/CD. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience designing developer tools, IDEs, or engineering workflow products. Data visualization experience (D3, WebGL, dashboards); geospatial a plus. Experience building or maintaining a design system. Experience designing debugging/inspection UIs for generative AI systems. Experience with Electron (or similar). Experience with user experience design for video games or interactive media. Experience designing for "low code" or "no code" systems. Comfort reading C++ and/or Python and/or Go. Senior staff: $190,000-$290,000 Principal: $230,000-$340,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
10/26/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications. Prototype in code. Ship working React/TypeScript implementations, not mockups - then land them in production with the product teams. Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces. Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces. Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions. Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership. Establish reusable design patterns and a component vocabulary for AI applications across the organization. Drive adoption: instrument what you ship, watch real usage, and iterate daily. Required qualifications: 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product. Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes. Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft. Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management. Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events. Experience running user research and usability testing, and acting on the results. Strong software hygiene: Git, code review, testing, CI/CD. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience designing developer tools, IDEs, or engineering workflow products. Data visualization experience (D3, WebGL, dashboards); geospatial a plus. Experience building or maintaining a design system. Experience designing debugging/inspection UIs for generative AI systems. Experience with Electron (or similar). Experience with user experience design for video games or interactive media. Experience designing for "low code" or "no code" systems. Comfort reading C++ and/or Python and/or Go. Senior staff: $190,000-$290,000 Principal: $230,000-$340,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Johnson Health Tech Companies
Cottage Grove, Wisconsin
Job Description Job Description Description: Who We Are Johnson Health Tech is one of the world's largest and fastest-growing fitness equipment manufacturers, delivering innovative solutions that help people live healthier lives. Through our award-winning portfolio of commercial and residential brands, we serve customers in more than 60 countries worldwide. Mission Statement To delight and excite our customers through truly innovative products, unsurpassed quality, and best-in-class customer experience provided by a world-class organization. Position Overview The Principal Enterprise Data Architect is the senior technical leader responsible for the architecture, design, implementation, and continued evolution of Johnson Health Tech's global enterprise data environment. This role leads the technical design of the company's Databricks-based data platform, including integration, transformation, governance, and delivery of data from SAP, Microsoft Dynamics CRM, e-commerce, operational, third-party, and other enterprise data sources. This senior individual contributor role establishes the patterns and technical standards through which data moves across the organization, translating complex business and technology requirements into scalable, maintainable solutions while partnering with global IT, data engineering, analytics, infrastructure, security, application, and business teams. Responsibilities Enterprise Data Architecture Define and maintain the technical architecture for Johnson Health Tech's global enterprise data environment, including the Databricks lakehouse platform and supporting cloud, integration, and data-processing components. Establish scalable architectural patterns and ensure architecture decisions support performance, scalability, reliability, security, maintainability, cost effectiveness, and appropriate emerging technology improvements. Data Engineering and Integration Lead the technical design and implementation of ETL and ELT pipelines connecting SAP, Microsoft Dynamics CRM, e-commerce systems, operational applications, external platforms, and other enterprise data sources. Establish reusable integration frameworks, ingestion patterns, and data-processing standards using SQL, Python, Databricks, Spark, APIs, and other integration technologies, and resolve data-platform performance, scalability, and reliability issues. Data Modeling and Platform Design Define enterprise data-modeling standards across raw, curated, analytical, and consumption-ready data layers. Design data structures that support reporting, analytics, data science, artificial intelligence, operational applications, and business planning, while promoting modular, reusable, testable, and consistent data-engineering practices. Technical Leadership and Standards Serve as the senior technical authority for enterprise data architecture and data engineering. Establish and document architecture principles, development standards, naming conventions, integration patterns, and technical guardrails while providing guidance for complex data initiatives and critical platform components. Global Enablement and Knowledge Transfer Develop technical frameworks, documentation, reference architectures, and training materials required for global adoption of the data platform. Train and mentor regional technology teams to implement, operate, and extend the enterprise data environment within established architectural standards and local requirements. Data Quality, Governance, Security, and Reliability Incorporate data quality, lineage, observability, reconciliation, error handling, monitoring, and platform-performance requirements into platform and pipeline designs. Partner with data governance, cybersecurity, infrastructure, and application teams to ensure appropriate access controls, protection of sensitive data, and compliance with applicable privacy, security, retention, deployment, testing, release-management, disaster recovery, and business continuity requirements. Collaboration and Enterprise Influence Collaborate with enterprise application teams responsible for SAP, Dynamics CRM, e-commerce, manufacturing, logistics, finance, product, customer, and other operational systems, translating business requirements into actionable technical designs. Communicate complex technical decisions clearly, identify architectural risks and dependencies, influence technical decisions across teams, and partner with external vendors while maintaining ownership of the company's architecture and technical standards. Marginal Job Functions Other projects as needed. Requirements: Education Bachelor's degree in computer science, information systems, engineering, data management, or related field, or equivalent professional experience. Master's degree is preferred. Experience At least 15 years of progressive experience in data architecture, data engineering, enterprise integration, software engineering, or related technical disciplines. Extensive experience designing and implementing enterprise-scale data platforms. Demonstrated experience serving as a senior architect, principal engineer, technical lead, or equivalent enterprise technical authority. Other Requirements Expert-level SQL skills and advanced proficiency in Python for data engineering, automation, integration, platform development, and ETL/ELT pipelines for large and complex enterprise data sets. Deep experience with Databricks, Apache Spark, Delta Lake, lakehouse architecture, data modeling, data warehousing, dimensional design, data lakes, and analytical data structures. Experience integrating ERP, CRM, e-commerce, manufacturing, financial, logistics, or other enterprise applications, including SAP, Microsoft Dynamics CRM, APIs, file-transfer methods, database connectivity, message-based integration, and cloud data-integration patterns. Experience with source control, automated deployment, testing, monitoring, modern software development practices, documentation, and repeatable technical standards. Bonus Qualifications Experience with Microsoft Azure, Amazon Web Services, hybrid cloud environments, Databricks Unity Catalog, governance, security, lineage, orchestration, and platform administration. Experience with Power BI, Tableau, data-product, data-mesh, domain-oriented, or federated data-architecture concepts. Experience with change data capture, event streaming, message queues, real-time data processing, DevOps, DataOps practices, and global enterprise environments with multinational deployment requirements. Physical Requirements/Work Environment Physical Requirements While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or touch objects, tools, or controls, and frequently required to talk or hear. The employee is occasionally required to stand, walk, reach above the shoulders, stoop, kneel, or crouch, and must occasionally lift and/or move up to 20 pounds. Specific vision abilities include close vision and the ability to adjust focus. Work Environment This position will require working on-site. Benefits & Perks Medical, dental, and vision insurance Company-paid life insurance and AD&D coverage 401(k) retirement savings plan Paid time off (PTO) FSA and HSA options Employee product discounts, wellness resources, and employee assistance programs Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.
10/26/2026
Full time
Job Description Job Description Description: Who We Are Johnson Health Tech is one of the world's largest and fastest-growing fitness equipment manufacturers, delivering innovative solutions that help people live healthier lives. Through our award-winning portfolio of commercial and residential brands, we serve customers in more than 60 countries worldwide. Mission Statement To delight and excite our customers through truly innovative products, unsurpassed quality, and best-in-class customer experience provided by a world-class organization. Position Overview The Principal Enterprise Data Architect is the senior technical leader responsible for the architecture, design, implementation, and continued evolution of Johnson Health Tech's global enterprise data environment. This role leads the technical design of the company's Databricks-based data platform, including integration, transformation, governance, and delivery of data from SAP, Microsoft Dynamics CRM, e-commerce, operational, third-party, and other enterprise data sources. This senior individual contributor role establishes the patterns and technical standards through which data moves across the organization, translating complex business and technology requirements into scalable, maintainable solutions while partnering with global IT, data engineering, analytics, infrastructure, security, application, and business teams. Responsibilities Enterprise Data Architecture Define and maintain the technical architecture for Johnson Health Tech's global enterprise data environment, including the Databricks lakehouse platform and supporting cloud, integration, and data-processing components. Establish scalable architectural patterns and ensure architecture decisions support performance, scalability, reliability, security, maintainability, cost effectiveness, and appropriate emerging technology improvements. Data Engineering and Integration Lead the technical design and implementation of ETL and ELT pipelines connecting SAP, Microsoft Dynamics CRM, e-commerce systems, operational applications, external platforms, and other enterprise data sources. Establish reusable integration frameworks, ingestion patterns, and data-processing standards using SQL, Python, Databricks, Spark, APIs, and other integration technologies, and resolve data-platform performance, scalability, and reliability issues. Data Modeling and Platform Design Define enterprise data-modeling standards across raw, curated, analytical, and consumption-ready data layers. Design data structures that support reporting, analytics, data science, artificial intelligence, operational applications, and business planning, while promoting modular, reusable, testable, and consistent data-engineering practices. Technical Leadership and Standards Serve as the senior technical authority for enterprise data architecture and data engineering. Establish and document architecture principles, development standards, naming conventions, integration patterns, and technical guardrails while providing guidance for complex data initiatives and critical platform components. Global Enablement and Knowledge Transfer Develop technical frameworks, documentation, reference architectures, and training materials required for global adoption of the data platform. Train and mentor regional technology teams to implement, operate, and extend the enterprise data environment within established architectural standards and local requirements. Data Quality, Governance, Security, and Reliability Incorporate data quality, lineage, observability, reconciliation, error handling, monitoring, and platform-performance requirements into platform and pipeline designs. Partner with data governance, cybersecurity, infrastructure, and application teams to ensure appropriate access controls, protection of sensitive data, and compliance with applicable privacy, security, retention, deployment, testing, release-management, disaster recovery, and business continuity requirements. Collaboration and Enterprise Influence Collaborate with enterprise application teams responsible for SAP, Dynamics CRM, e-commerce, manufacturing, logistics, finance, product, customer, and other operational systems, translating business requirements into actionable technical designs. Communicate complex technical decisions clearly, identify architectural risks and dependencies, influence technical decisions across teams, and partner with external vendors while maintaining ownership of the company's architecture and technical standards. Marginal Job Functions Other projects as needed. Requirements: Education Bachelor's degree in computer science, information systems, engineering, data management, or related field, or equivalent professional experience. Master's degree is preferred. Experience At least 15 years of progressive experience in data architecture, data engineering, enterprise integration, software engineering, or related technical disciplines. Extensive experience designing and implementing enterprise-scale data platforms. Demonstrated experience serving as a senior architect, principal engineer, technical lead, or equivalent enterprise technical authority. Other Requirements Expert-level SQL skills and advanced proficiency in Python for data engineering, automation, integration, platform development, and ETL/ELT pipelines for large and complex enterprise data sets. Deep experience with Databricks, Apache Spark, Delta Lake, lakehouse architecture, data modeling, data warehousing, dimensional design, data lakes, and analytical data structures. Experience integrating ERP, CRM, e-commerce, manufacturing, financial, logistics, or other enterprise applications, including SAP, Microsoft Dynamics CRM, APIs, file-transfer methods, database connectivity, message-based integration, and cloud data-integration patterns. Experience with source control, automated deployment, testing, monitoring, modern software development practices, documentation, and repeatable technical standards. Bonus Qualifications Experience with Microsoft Azure, Amazon Web Services, hybrid cloud environments, Databricks Unity Catalog, governance, security, lineage, orchestration, and platform administration. Experience with Power BI, Tableau, data-product, data-mesh, domain-oriented, or federated data-architecture concepts. Experience with change data capture, event streaming, message queues, real-time data processing, DevOps, DataOps practices, and global enterprise environments with multinational deployment requirements. Physical Requirements/Work Environment Physical Requirements While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or touch objects, tools, or controls, and frequently required to talk or hear. The employee is occasionally required to stand, walk, reach above the shoulders, stoop, kneel, or crouch, and must occasionally lift and/or move up to 20 pounds. Specific vision abilities include close vision and the ability to adjust focus. Work Environment This position will require working on-site. Benefits & Perks Medical, dental, and vision insurance Company-paid life insurance and AD&D coverage 401(k) retirement savings plan Paid time off (PTO) FSA and HSA options Employee product discounts, wellness resources, and employee assistance programs Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications. Prototype in code. Ship working React/TypeScript implementations, not mockups - then land them in production with the product teams. Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces. Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces. Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions. Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership. Establish reusable design patterns and a component vocabulary for AI applications across the organization. Drive adoption: instrument what you ship, watch real usage, and iterate daily. Required qualifications: 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product. Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes. Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft. Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management. Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events. Experience running user research and usability testing, and acting on the results. Strong software hygiene: Git, code review, testing, CI/CD. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience designing developer tools, IDEs, or engineering workflow products. Data visualization experience (D3, WebGL, dashboards); geospatial a plus. Experience building or maintaining a design system. Experience designing debugging/inspection UIs for generative AI systems. Experience with Electron (or similar). Experience with user experience design for video games or interactive media. Experience designing for "low code" or "no code" systems. Comfort reading C++ and/or Python and/or Go. Senior staff: $190,000-$290,000 Principal: $230,000-$340,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
10/26/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications. Prototype in code. Ship working React/TypeScript implementations, not mockups - then land them in production with the product teams. Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces. Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces. Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions. Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership. Establish reusable design patterns and a component vocabulary for AI applications across the organization. Drive adoption: instrument what you ship, watch real usage, and iterate daily. Required qualifications: 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product. Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes. Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft. Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management. Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events. Experience running user research and usability testing, and acting on the results. Strong software hygiene: Git, code review, testing, CI/CD. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience designing developer tools, IDEs, or engineering workflow products. Data visualization experience (D3, WebGL, dashboards); geospatial a plus. Experience building or maintaining a design system. Experience designing debugging/inspection UIs for generative AI systems. Experience with Electron (or similar). Experience with user experience design for video games or interactive media. Experience designing for "low code" or "no code" systems. Comfort reading C++ and/or Python and/or Go. Senior staff: $190,000-$290,000 Principal: $230,000-$340,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Principal Machine Learning Engineer, you will serve as a foundational technical leader shaping the long-term, multi-year vision for our foundation model post-training ecosystem. While training foundation models from scratch is on our horizon, your immediate mandate is to architect the systems that adapt, align, and optimize massive multimodal models for our autonomy stack. Armed with a strong sense of product, you will ensure our technical investments directly translate into downstream value, accelerating edge-case discovery, reducing engineering costs, and improving the final autonomous driving product. You will tackle highly complex, ambiguous problems, creating clarity and defining objectives that pay future dividends for the entire company. By championing deep cross-team collaboration, you will seamlessly connect ML capabilities with our Autonomy and Infrastructure organizations, breaking down silos to ensure smooth execution. Operating at the highest levels of technical maturity, you will solve the hardest technical challenges that few others can, setting the standard for state-of-the-art model distillation, advanced alignment techniques, automated agentic reasoning workflows, and the ultra-efficient deployment of billion-parameter models. What You'll Do: Set the Technical Direction for Data Mining: Define the multi-year ML roadmap for our multimodal data-mining platform (Omnitag). Turn complex, ambiguous problems into clear objectives, balancing long-term foundational investments (e.g., agentic pipelines) with short-term tactical goals to drive maximum impact. Build the Data Flywheel: Own the full lifecycle of our ML data pipelines to close the active-learning loop. You will align massive multimodal teacher models and distill them into efficient student models for exabyte-scale search, accelerating model error diagnosis and reducing compute costs for automated curation. Architect Massive-Scale Systems & Tackle the Hardest Challenges: Design the architecture for applying billion-parameter models to real-world AV logs. As the lead implementer for our toughest technical bottlenecks, you will push the boundaries of parameter-efficient fine-tuning, optimize inference latency for large-scale retrieval, and build RL-driven reasoning systems-all while proactively managing system reliability and cloud footprint. Champion Cross-Functional Initiatives: Act as the technical bridge between Data Mining, Autonomy, and Infrastructure. Armed with a strong product sense, you will deeply understand the edge cases the autonomy stack needs to solve next and coordinate phased rollouts to seamlessly integrate new discovery capabilities into the core AV development loop. Lead and Grow a High-Performing Pod: Serve as a hands-on player-coach, directly guiding up to 3 engineers. Delegate ownership, coach your team to deliver state-of-the-art implementations, and advocate for tooling and practices that elevate developer productivity and reinforce Motional's culture of engineering excellence. What We're Looking For (Must-Haves): BS in Computer Science, Machine Learning, or a related field, or equivalent professional experience. 12+ years of hands-on machine learning engineering experience, with a proven track record of owning the end-to-end development cycle of enterprise-scale ML systems, from experiment design through infrastructure, testing, rollout, monitoring, and iteration. Exceptional technical maturity, with a track record of building and shipping impact that is innovative, broad in reach (affecting many teams or orgs), and pays future dividends for the company. Proven ability to solve technical problems that few others can, the person others seek out for complex ML infrastructure, deep learning architectures, and production optimization. Deep experience training large-scale models from the ground up, including distributed training across multi-node GPU clusters, data pipeline and curation strategy, scaling and evaluation methodology, and the practical debugging of large training runs. Demonstrated ownership of a technical roadmap for a team or problem area, including balancing competing objectives (impact, quality, engineering time, compute cost) and making deliberate tradeoffs between long-term foundational investment and short-term tactical goals. Ability to create clarity from ambiguous, complex problems, decomposing them concisely, defining objectives, and establishing measures of progress for yourself and your team. Deep, generalist ML expertise spanning massive-scale model training, hardware-optimized deployment, and production ML orchestration in cloud environments (AWS, GCP, or Azure). Experience leading cross-team initiatives, including coordinating phased rollouts and migrations across dependent teams, and mentoring engineers to raise the bar around you. Strong oral and written communication skills. You can clearly explain complex technical problems using data and analysis, and communicate proposals in a way that earns buy-in and creates alignment. Bonus Points (Nice-to-Haves): MS/PhD in Computer Science, Machine Learning, or a related field. Experience as a Tech Lead Manager (TLM) or in direct people management, coaching and growing small teams of 2-3 engineers. Background in autonomous driving, robotics, or complex real-time decision-making systems. Experience with massive-scale ML data mining, multimodal foundation models, and embodied AI. Hands-on experience pretraining or post-training a foundation model, data curation at scale, pretraining or continued-pretraining recipes, SFT/RLHF or other alignment methods, and evaluation harness design. Experience with model compression and adaptation at scale, knowledge distillation (teacher/student), parameter-efficient fine-tuning, or quantization for high-throughput inference. Experience with large-scale retrieval or search systems, or RL for reasoning and decision-making. Deep knowledge of enterprise model serving (TF Serving, Triton, TorchServe) and modern MLOps platforms. Experience building agentic pipelines or LLM-driven reasoning and tool-use workflows. A strong portfolio of publications, patents, or significant open-source contributions that demonstrates influence on the broader engineering community. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $240,000-$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law . click apply for full job details
10/26/2026
Full time
Job Description Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Principal Machine Learning Engineer, you will serve as a foundational technical leader shaping the long-term, multi-year vision for our foundation model post-training ecosystem. While training foundation models from scratch is on our horizon, your immediate mandate is to architect the systems that adapt, align, and optimize massive multimodal models for our autonomy stack. Armed with a strong sense of product, you will ensure our technical investments directly translate into downstream value, accelerating edge-case discovery, reducing engineering costs, and improving the final autonomous driving product. You will tackle highly complex, ambiguous problems, creating clarity and defining objectives that pay future dividends for the entire company. By championing deep cross-team collaboration, you will seamlessly connect ML capabilities with our Autonomy and Infrastructure organizations, breaking down silos to ensure smooth execution. Operating at the highest levels of technical maturity, you will solve the hardest technical challenges that few others can, setting the standard for state-of-the-art model distillation, advanced alignment techniques, automated agentic reasoning workflows, and the ultra-efficient deployment of billion-parameter models. What You'll Do: Set the Technical Direction for Data Mining: Define the multi-year ML roadmap for our multimodal data-mining platform (Omnitag). Turn complex, ambiguous problems into clear objectives, balancing long-term foundational investments (e.g., agentic pipelines) with short-term tactical goals to drive maximum impact. Build the Data Flywheel: Own the full lifecycle of our ML data pipelines to close the active-learning loop. You will align massive multimodal teacher models and distill them into efficient student models for exabyte-scale search, accelerating model error diagnosis and reducing compute costs for automated curation. Architect Massive-Scale Systems & Tackle the Hardest Challenges: Design the architecture for applying billion-parameter models to real-world AV logs. As the lead implementer for our toughest technical bottlenecks, you will push the boundaries of parameter-efficient fine-tuning, optimize inference latency for large-scale retrieval, and build RL-driven reasoning systems-all while proactively managing system reliability and cloud footprint. Champion Cross-Functional Initiatives: Act as the technical bridge between Data Mining, Autonomy, and Infrastructure. Armed with a strong product sense, you will deeply understand the edge cases the autonomy stack needs to solve next and coordinate phased rollouts to seamlessly integrate new discovery capabilities into the core AV development loop. Lead and Grow a High-Performing Pod: Serve as a hands-on player-coach, directly guiding up to 3 engineers. Delegate ownership, coach your team to deliver state-of-the-art implementations, and advocate for tooling and practices that elevate developer productivity and reinforce Motional's culture of engineering excellence. What We're Looking For (Must-Haves): BS in Computer Science, Machine Learning, or a related field, or equivalent professional experience. 12+ years of hands-on machine learning engineering experience, with a proven track record of owning the end-to-end development cycle of enterprise-scale ML systems, from experiment design through infrastructure, testing, rollout, monitoring, and iteration. Exceptional technical maturity, with a track record of building and shipping impact that is innovative, broad in reach (affecting many teams or orgs), and pays future dividends for the company. Proven ability to solve technical problems that few others can, the person others seek out for complex ML infrastructure, deep learning architectures, and production optimization. Deep experience training large-scale models from the ground up, including distributed training across multi-node GPU clusters, data pipeline and curation strategy, scaling and evaluation methodology, and the practical debugging of large training runs. Demonstrated ownership of a technical roadmap for a team or problem area, including balancing competing objectives (impact, quality, engineering time, compute cost) and making deliberate tradeoffs between long-term foundational investment and short-term tactical goals. Ability to create clarity from ambiguous, complex problems, decomposing them concisely, defining objectives, and establishing measures of progress for yourself and your team. Deep, generalist ML expertise spanning massive-scale model training, hardware-optimized deployment, and production ML orchestration in cloud environments (AWS, GCP, or Azure). Experience leading cross-team initiatives, including coordinating phased rollouts and migrations across dependent teams, and mentoring engineers to raise the bar around you. Strong oral and written communication skills. You can clearly explain complex technical problems using data and analysis, and communicate proposals in a way that earns buy-in and creates alignment. Bonus Points (Nice-to-Haves): MS/PhD in Computer Science, Machine Learning, or a related field. Experience as a Tech Lead Manager (TLM) or in direct people management, coaching and growing small teams of 2-3 engineers. Background in autonomous driving, robotics, or complex real-time decision-making systems. Experience with massive-scale ML data mining, multimodal foundation models, and embodied AI. Hands-on experience pretraining or post-training a foundation model, data curation at scale, pretraining or continued-pretraining recipes, SFT/RLHF or other alignment methods, and evaluation harness design. Experience with model compression and adaptation at scale, knowledge distillation (teacher/student), parameter-efficient fine-tuning, or quantization for high-throughput inference. Experience with large-scale retrieval or search systems, or RL for reasoning and decision-making. Deep knowledge of enterprise model serving (TF Serving, Triton, TorchServe) and modern MLOps platforms. Experience building agentic pipelines or LLM-driven reasoning and tool-use workflows. A strong portfolio of publications, patents, or significant open-source contributions that demonstrates influence on the broader engineering community. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $240,000-$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law . click apply for full job details
Job Description Job Description About the Opportunity We are seeking a highly skilled Network Architect to lead the design, security, modernization, and automation of a complex enterprise network environment. This role will be responsible for developing and implementing scalable, resilient, and secure network architectures that support critical business operations across on-premises, cloud, and hybrid environments. The ideal candidate combines deep technical expertise in enterprise networking with strong leadership capabilities and a passion for driving innovation. This individual will serve as a trusted technical leader, influencing architectural decisions, mentoring engineering teams, and guiding large-scale infrastructure transformation initiatives. Key Responsibilities Network Architecture & Design Design and maintain enterprise network architectures with a focus on security, performance, scalability, resiliency, and automation. Develop strategic technology roadmaps supporting long-term infrastructure modernization initiatives. Evaluate, recommend, and implement new networking technologies and solutions. Ensure network architecture aligns with business objectives, security requirements, and operational needs. Lead complex network design efforts and provide architectural guidance across multiple technology domains. Security & Risk Management Design and implement secure network solutions leveraging industry best practices. Develop network segmentation and micro-segmentation strategies to strengthen security posture. Architect secure connectivity solutions including VPNs, encryption technologies, and secure communications. Partner with security teams to ensure compliance with internal policies and regulatory requirements. Drive adoption of Zero Trust principles and modern network security frameworks. Cloud & Infrastructure Transformation Lead network architecture efforts supporting hybrid and cloud-based environments. Design resilient connectivity between data centers, corporate locations, and cloud platforms. Support infrastructure modernization initiatives, including cloud migration and data center optimization efforts. Evaluate emerging technologies and trends that enhance network capabilities and operational efficiency. Automation & Operational Excellence Lead network automation and orchestration initiatives to improve efficiency and reduce operational complexity. Design automated failover, resiliency, and recovery solutions. Identify opportunities to streamline operational processes through automation and improved architecture. Promote infrastructure-as-code and automation best practices where appropriate. Leadership & Collaboration Serve as a technical leader and mentor for network engineering team members. Provide guidance and support to junior engineers and technical staff. Lead cross-functional technology initiatives and infrastructure projects. Present architectural recommendations and strategic plans to technology leadership. Translate business requirements into scalable technical solutions. Business Continuity & Resiliency Design highly available network solutions that support business continuity and disaster recovery objectives. Lead resiliency planning, testing, and failover strategy initiatives. Improve recovery processes through automation and operational enhancements. Required Qualifications Bachelor's degree in Information Systems, Computer Science, Engineering, or a related discipline, or equivalent experience. 7+ years of experience designing, implementing, and supporting enterprise network environments. 3+ years of experience in a Network Architect, Lead Network Engineer, Principal Engineer, or similar senior technical leadership role. Strong experience with enterprise routing, switching, WAN, wireless, and network security technologies. Deep understanding of network architecture principles and design methodologies. Experience designing and supporting cloud and hybrid networking environments. Strong knowledge of routing and network protocols including OSPF, BGP, and related technologies. Experience implementing network security solutions and best practices. Demonstrated ability to lead technical projects and architecture initiatives. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications Experience with Cisco networking technologies (highly preferred). Experience with one or more of the following: Arista Juniper Fortinet Industry certifications such as CCNP, CCIE, JNCIP, NSE, or equivalent. Experience with network automation and orchestration platforms. Knowledge of Zero Trust architecture and micro-segmentation. Experience supporting large-scale cloud migration initiatives. Experience developing disaster recovery, failover, and resiliency strategies. Experience mentoring and developing engineering teams. Technical Environment Experience in several of the following areas is preferred: Cisco Network Infrastructure Arista Networks Juniper Networks Fortinet Security Solutions Routing & Switching WAN and SD-WAN Technologies Enterprise Wireless Networking VPN Technologies Network Security & Segmentation Cloud Networking (AWS, Azure, and/or GCP) Network Automation & Orchestration Disaster Recovery & High Availability Solutions Infrastructure Modernization Initiatives What We're Looking For We're seeking a hands-on technical leader who can balance strategic architecture responsibilities with practical execution. The ideal candidate is passionate about designing secure, resilient networks, mentoring engineering teams, and driving modernization through cloud adoption, automation, and innovative networking solutions.
10/26/2026
Full time
Job Description Job Description About the Opportunity We are seeking a highly skilled Network Architect to lead the design, security, modernization, and automation of a complex enterprise network environment. This role will be responsible for developing and implementing scalable, resilient, and secure network architectures that support critical business operations across on-premises, cloud, and hybrid environments. The ideal candidate combines deep technical expertise in enterprise networking with strong leadership capabilities and a passion for driving innovation. This individual will serve as a trusted technical leader, influencing architectural decisions, mentoring engineering teams, and guiding large-scale infrastructure transformation initiatives. Key Responsibilities Network Architecture & Design Design and maintain enterprise network architectures with a focus on security, performance, scalability, resiliency, and automation. Develop strategic technology roadmaps supporting long-term infrastructure modernization initiatives. Evaluate, recommend, and implement new networking technologies and solutions. Ensure network architecture aligns with business objectives, security requirements, and operational needs. Lead complex network design efforts and provide architectural guidance across multiple technology domains. Security & Risk Management Design and implement secure network solutions leveraging industry best practices. Develop network segmentation and micro-segmentation strategies to strengthen security posture. Architect secure connectivity solutions including VPNs, encryption technologies, and secure communications. Partner with security teams to ensure compliance with internal policies and regulatory requirements. Drive adoption of Zero Trust principles and modern network security frameworks. Cloud & Infrastructure Transformation Lead network architecture efforts supporting hybrid and cloud-based environments. Design resilient connectivity between data centers, corporate locations, and cloud platforms. Support infrastructure modernization initiatives, including cloud migration and data center optimization efforts. Evaluate emerging technologies and trends that enhance network capabilities and operational efficiency. Automation & Operational Excellence Lead network automation and orchestration initiatives to improve efficiency and reduce operational complexity. Design automated failover, resiliency, and recovery solutions. Identify opportunities to streamline operational processes through automation and improved architecture. Promote infrastructure-as-code and automation best practices where appropriate. Leadership & Collaboration Serve as a technical leader and mentor for network engineering team members. Provide guidance and support to junior engineers and technical staff. Lead cross-functional technology initiatives and infrastructure projects. Present architectural recommendations and strategic plans to technology leadership. Translate business requirements into scalable technical solutions. Business Continuity & Resiliency Design highly available network solutions that support business continuity and disaster recovery objectives. Lead resiliency planning, testing, and failover strategy initiatives. Improve recovery processes through automation and operational enhancements. Required Qualifications Bachelor's degree in Information Systems, Computer Science, Engineering, or a related discipline, or equivalent experience. 7+ years of experience designing, implementing, and supporting enterprise network environments. 3+ years of experience in a Network Architect, Lead Network Engineer, Principal Engineer, or similar senior technical leadership role. Strong experience with enterprise routing, switching, WAN, wireless, and network security technologies. Deep understanding of network architecture principles and design methodologies. Experience designing and supporting cloud and hybrid networking environments. Strong knowledge of routing and network protocols including OSPF, BGP, and related technologies. Experience implementing network security solutions and best practices. Demonstrated ability to lead technical projects and architecture initiatives. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications Experience with Cisco networking technologies (highly preferred). Experience with one or more of the following: Arista Juniper Fortinet Industry certifications such as CCNP, CCIE, JNCIP, NSE, or equivalent. Experience with network automation and orchestration platforms. Knowledge of Zero Trust architecture and micro-segmentation. Experience supporting large-scale cloud migration initiatives. Experience developing disaster recovery, failover, and resiliency strategies. Experience mentoring and developing engineering teams. Technical Environment Experience in several of the following areas is preferred: Cisco Network Infrastructure Arista Networks Juniper Networks Fortinet Security Solutions Routing & Switching WAN and SD-WAN Technologies Enterprise Wireless Networking VPN Technologies Network Security & Segmentation Cloud Networking (AWS, Azure, and/or GCP) Network Automation & Orchestration Disaster Recovery & High Availability Solutions Infrastructure Modernization Initiatives What We're Looking For We're seeking a hands-on technical leader who can balance strategic architecture responsibilities with practical execution. The ideal candidate is passionate about designing secure, resilient networks, mentoring engineering teams, and driving modernization through cloud adoption, automation, and innovative networking solutions.
Job Description Job Description Mission Summary This Data Architect role provides principal-level advisory and thought leadership to senior DARPA executives, including the Chief Information Security Officer (CISO) and senior ITD Staff. As a Data Architect, you will be a key strategic resource, shaping the agency's approach to cybersecurity across its most advanced and sensitive technology portfolios. You will operate with a high degree of autonomy to provide strategic foresight, critical technical analysis, and authoritative guidance, ensuring that security is an enabler of innovation for DARPA's high-risk, high-reward programs. The Data Architect is responsible for designing, developing, and managing enterprise data architecture to support strategic research, operations, analytics, and mission-critical decision-making. This role ensures that data systems are secure, scalable, interoperable, and aligned with national security objectives. Key Responsibilities Design and implement enterprise-level data architecture frameworks across defense systems and platforms Develop data models, standards, and governance policies to ensure consistency, quality, and integrity Integrate data from multiple classified and unclassified sources to support operational readiness and analysis Collaborate with cybersecurity teams to ensure compliance with security protocols and data protection regulations Support advanced analytics, AI/ML initiatives, and real-time data processing for research and strategic applications Establish metadata management, data lineage, and master data management practices Optimize data storage, retrieval, and processing for high-performance environments Lead data architecture reviews and provide technical guidance to engineering and analytics teams Ensure compliance with federal standards (e.g., DoD data strategy, security frameworks, interoperability requirements) Required Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field 8+ years of experience in data architecture, data engineering, or enterprise systems design Experience working in defense, intelligence, or other high-security environments Strong knowledge of database systems (SQL/NoSQL), data warehousing, and distributed data platforms Familiarity with cloud platforms (AWS GovCloud, Azure Government, etc.) Knowledge of data governance, data modeling, and architecture frameworks (e.g., TOGAF, DoDAF) Active security clearance (e.g., Secret or Top Secret) or ability to obtain one Preferred Qualifications Experience with big data technologies (Hadoop, Spark, Kafka) Background in AI/ML data pipelines and analytics infrastructure Familiarity with geospatial, signals, or intelligence data systems Certifications in cloud architecture or data management (e.g., AWS Certified Solutions Architect, DAMA-CDMP) Experience with high performance computing (HPC) Active TS/SCI clearance Core Competencies Strategic thinking and systems-level design Strong analytical and problem-solving skills Ability to operate in high-pressure, mission-critical environments Excellent communication and cross-functional collaboration Commitment to data security, ethics, and confidentiality Work Environment This position may operate in secure government facilities and requires adherence to strict information security protocols. Some travel may be required to support operations and interagency coordination. Impact of Role The Data Architect plays a critical role in enabling data-driven research and support operations, enhancing situational awareness, and ensuring that decision-makers have timely, accurate, and secure access to information. Salary range for the position is $150,000 - $250,000 per year. Specific compensation will be determined by several factors including experience, education, skills, and knowledge. We also offer medical/dental/vision benefits and 401k contribution. Blue Sky Innovators, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are a qualified job seeker with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access as a result of your disability. To request an accommodation, please email us at and provide your name and contact information. Please note: this is only for job seekers with disabilities requesting an accommodation.
10/26/2026
Full time
Job Description Job Description Mission Summary This Data Architect role provides principal-level advisory and thought leadership to senior DARPA executives, including the Chief Information Security Officer (CISO) and senior ITD Staff. As a Data Architect, you will be a key strategic resource, shaping the agency's approach to cybersecurity across its most advanced and sensitive technology portfolios. You will operate with a high degree of autonomy to provide strategic foresight, critical technical analysis, and authoritative guidance, ensuring that security is an enabler of innovation for DARPA's high-risk, high-reward programs. The Data Architect is responsible for designing, developing, and managing enterprise data architecture to support strategic research, operations, analytics, and mission-critical decision-making. This role ensures that data systems are secure, scalable, interoperable, and aligned with national security objectives. Key Responsibilities Design and implement enterprise-level data architecture frameworks across defense systems and platforms Develop data models, standards, and governance policies to ensure consistency, quality, and integrity Integrate data from multiple classified and unclassified sources to support operational readiness and analysis Collaborate with cybersecurity teams to ensure compliance with security protocols and data protection regulations Support advanced analytics, AI/ML initiatives, and real-time data processing for research and strategic applications Establish metadata management, data lineage, and master data management practices Optimize data storage, retrieval, and processing for high-performance environments Lead data architecture reviews and provide technical guidance to engineering and analytics teams Ensure compliance with federal standards (e.g., DoD data strategy, security frameworks, interoperability requirements) Required Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field 8+ years of experience in data architecture, data engineering, or enterprise systems design Experience working in defense, intelligence, or other high-security environments Strong knowledge of database systems (SQL/NoSQL), data warehousing, and distributed data platforms Familiarity with cloud platforms (AWS GovCloud, Azure Government, etc.) Knowledge of data governance, data modeling, and architecture frameworks (e.g., TOGAF, DoDAF) Active security clearance (e.g., Secret or Top Secret) or ability to obtain one Preferred Qualifications Experience with big data technologies (Hadoop, Spark, Kafka) Background in AI/ML data pipelines and analytics infrastructure Familiarity with geospatial, signals, or intelligence data systems Certifications in cloud architecture or data management (e.g., AWS Certified Solutions Architect, DAMA-CDMP) Experience with high performance computing (HPC) Active TS/SCI clearance Core Competencies Strategic thinking and systems-level design Strong analytical and problem-solving skills Ability to operate in high-pressure, mission-critical environments Excellent communication and cross-functional collaboration Commitment to data security, ethics, and confidentiality Work Environment This position may operate in secure government facilities and requires adherence to strict information security protocols. Some travel may be required to support operations and interagency coordination. Impact of Role The Data Architect plays a critical role in enabling data-driven research and support operations, enhancing situational awareness, and ensuring that decision-makers have timely, accurate, and secure access to information. Salary range for the position is $150,000 - $250,000 per year. Specific compensation will be determined by several factors including experience, education, skills, and knowledge. We also offer medical/dental/vision benefits and 401k contribution. Blue Sky Innovators, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are a qualified job seeker with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access as a result of your disability. To request an accommodation, please email us at and provide your name and contact information. Please note: this is only for job seekers with disabilities requesting an accommodation.
Job Description Job Description We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands-on technical leadership role for someone who can move comfortably between executive-level client conversations, solution architecture, engineering delivery, and mentoring high-performing data teams. The ideal candidate combines deep data-engineering expertise with strong consulting instincts: they can translate business objectives into scalable technical solutions, communicate complex concepts through clear presentations, and guide teams from discovery through implementation and operationalization. Key Responsibilities Lead the end-to-end architecture, design, and delivery of enterprise data engineering, data platform, and analytics solutions for client engagements. Serve as a trusted technical advisor to client stakeholders, including technology leaders, data leaders, architects, and business partners. Facilitate discovery sessions, requirements workshops, technical assessments, architecture reviews, and solution-design discussions. Translate business goals, data challenges, and operating-model requirements into practical data strategies, roadmaps, reference architectures, and implementation plans. Define scalable, secure, reliable, and cost-effective architectures for data ingestion, transformation, storage, governance, orchestration, analytics, and data consumption. Remain hands-on in engineering work, including designing data pipelines, reviewing code, building proof of concepts, resolving complex technical issues, and establishing engineering patterns. Architect and implement batch, real-time, streaming, and event-driven data solutions as appropriate for client needs. Design modern cloud data platforms using technologies such as Snowflake, Databricks, Microsoft Fabric, Azure Data Factory, AWS Glue, Amazon Redshift, BigQuery, or equivalent platforms. Lead the development of robust ETL/ELT pipelines, data models, data APIs, semantic layers, and data products. Establish data engineering standards for code quality, testing, CI/CD, observability, metadata management, data lineage, documentation, security, and production support. Drive adoption of DataOps practices, infrastructure as code, automated testing, deployment pipelines, monitoring, and incident-management processes. Partner with data architects, data scientists, analysts, application architects, security teams, and business stakeholders to ensure solutions are aligned to enterprise architecture and business outcomes. Present technical recommendations, architecture options, delivery status, risks, and strategic roadmaps to both technical and executive audiences. Lead client-facing demonstrations, workshops, steering-committee updates, and technical presentations. Mentor senior, mid-level, and junior data engineers; provide technical coaching, career guidance, design feedback, and hands-on support. Lead and influence cross-functional delivery teams, including onshore/offshore engineers, architects, analysts, and client technical resources. Participate in project estimation, staffing, delivery planning, risk management, solution scoping, and proposal development. Support pre-sales and business-development activities, including solutioning, client presentations, technical discovery, RFP responses, estimates, and statement-of-work development. Stay current on emerging data, cloud, AI, governance, and analytics technologies; evaluate where they provide meaningful business value for clients. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; equivalent professional experience may be considered. 10+ years of progressive experience in data engineering, data warehousing, data integration, data architecture, or related technical disciplines. 3+ years of experience in a technical leadership, lead engineer, solution architect, staff engineer, principal engineer, or consulting leadership capacity. Demonstrated experience architecting and delivering enterprise-scale data platforms and data integration solutions. Strong hands-on expertise in SQL and at least one modern programming language, preferably Python, Scala, Java, or C#. Strong experience with ETL/ELT design, data pipeline development, data transformation frameworks, orchestration, and workflow automation. Experience with one or more cloud providers: Microsoft Azure, AWS, or Google Cloud Platform. Experience with modern cloud data and analytics platforms such as Databricks, Snowflake, Microsoft Fabric, Synapse Analytics, BigQuery, Redshift, or similar technologies. Experience with orchestration and pipeline technologies such as Apache Airflow, Azure Data Factory, AWS Step Functions, dbt, Dagster, Prefect, or equivalent tools. Knowledge of distributed data-processing technologies such as Apache Spark, Kafka, Flink, Hadoop ecosystems, or comparable platforms. Experience designing both batch and near-real-time or streaming data solutions. Strong understanding of dimensional modeling, data vault, normalized data models, lakehouse architectures, data lake architectures, and data warehouse design principles. Experience implementing data quality, data validation, monitoring, lineage, metadata, governance, and security controls. Working knowledge of DevOps and DataOps practices, including Git-based source control, CI/CD, automated testing, deployment automation, and infrastructure as code. Strong understanding of cloud security principles, identity and access management, encryption, secrets management, and role-based access controls. Proven ability to lead architecture discussions and make well-reasoned technical tradeoffs involving performance, scalability, reliability, maintainability, security, and cost. Excellent verbal, written, and presentation skills, with the ability to explain technical concepts clearly to business stakeholders and executive audiences. Experience in a consulting, professional services, systems integrator, or client-facing delivery environment. Preferred Qualifications Experience designing data platforms that support AI, machine learning, generative AI, retrieval-augmented generation, feature stores, vector databases, or advanced analytics workloads. Certifications in AWS, Azure, Google Cloud, Databricks, Snowflake, Microsoft Fabric, or other relevant data technologies. Experience with master data management, data cataloging, data governance, privacy, regulatory compliance, or data stewardship programs. Experience with tools such as Collibra, Alation, Microsoft Purview, Unity Catalog, Informatica, Monte Carlo, Great Expectations, or similar governance and observability platforms. Experience with Salesforce, SAP, ERP, CRM, finance, supply-chain, healthcare, retail, manufacturing, or other enterprise operational data domains. Familiarity with BI and semantic-layer technologies such as Power BI, Tableau, Looker, ThoughtSpot, or similar platforms. Experience with containerization and cloud-native technologies such as Docker, Kubernetes, Terraform, CloudFormation, Bicep, or Pulumi. Prior experience contributing to proposals, estimates, statements of work, or technical sales pursuits. Experience managing or leading distributed onshore/offshore delivery teams. Powered by JazzHR zr49e0PRzQ
10/26/2026
Full time
Job Description Job Description We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands-on technical leadership role for someone who can move comfortably between executive-level client conversations, solution architecture, engineering delivery, and mentoring high-performing data teams. The ideal candidate combines deep data-engineering expertise with strong consulting instincts: they can translate business objectives into scalable technical solutions, communicate complex concepts through clear presentations, and guide teams from discovery through implementation and operationalization. Key Responsibilities Lead the end-to-end architecture, design, and delivery of enterprise data engineering, data platform, and analytics solutions for client engagements. Serve as a trusted technical advisor to client stakeholders, including technology leaders, data leaders, architects, and business partners. Facilitate discovery sessions, requirements workshops, technical assessments, architecture reviews, and solution-design discussions. Translate business goals, data challenges, and operating-model requirements into practical data strategies, roadmaps, reference architectures, and implementation plans. Define scalable, secure, reliable, and cost-effective architectures for data ingestion, transformation, storage, governance, orchestration, analytics, and data consumption. Remain hands-on in engineering work, including designing data pipelines, reviewing code, building proof of concepts, resolving complex technical issues, and establishing engineering patterns. Architect and implement batch, real-time, streaming, and event-driven data solutions as appropriate for client needs. Design modern cloud data platforms using technologies such as Snowflake, Databricks, Microsoft Fabric, Azure Data Factory, AWS Glue, Amazon Redshift, BigQuery, or equivalent platforms. Lead the development of robust ETL/ELT pipelines, data models, data APIs, semantic layers, and data products. Establish data engineering standards for code quality, testing, CI/CD, observability, metadata management, data lineage, documentation, security, and production support. Drive adoption of DataOps practices, infrastructure as code, automated testing, deployment pipelines, monitoring, and incident-management processes. Partner with data architects, data scientists, analysts, application architects, security teams, and business stakeholders to ensure solutions are aligned to enterprise architecture and business outcomes. Present technical recommendations, architecture options, delivery status, risks, and strategic roadmaps to both technical and executive audiences. Lead client-facing demonstrations, workshops, steering-committee updates, and technical presentations. Mentor senior, mid-level, and junior data engineers; provide technical coaching, career guidance, design feedback, and hands-on support. Lead and influence cross-functional delivery teams, including onshore/offshore engineers, architects, analysts, and client technical resources. Participate in project estimation, staffing, delivery planning, risk management, solution scoping, and proposal development. Support pre-sales and business-development activities, including solutioning, client presentations, technical discovery, RFP responses, estimates, and statement-of-work development. Stay current on emerging data, cloud, AI, governance, and analytics technologies; evaluate where they provide meaningful business value for clients. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; equivalent professional experience may be considered. 10+ years of progressive experience in data engineering, data warehousing, data integration, data architecture, or related technical disciplines. 3+ years of experience in a technical leadership, lead engineer, solution architect, staff engineer, principal engineer, or consulting leadership capacity. Demonstrated experience architecting and delivering enterprise-scale data platforms and data integration solutions. Strong hands-on expertise in SQL and at least one modern programming language, preferably Python, Scala, Java, or C#. Strong experience with ETL/ELT design, data pipeline development, data transformation frameworks, orchestration, and workflow automation. Experience with one or more cloud providers: Microsoft Azure, AWS, or Google Cloud Platform. Experience with modern cloud data and analytics platforms such as Databricks, Snowflake, Microsoft Fabric, Synapse Analytics, BigQuery, Redshift, or similar technologies. Experience with orchestration and pipeline technologies such as Apache Airflow, Azure Data Factory, AWS Step Functions, dbt, Dagster, Prefect, or equivalent tools. Knowledge of distributed data-processing technologies such as Apache Spark, Kafka, Flink, Hadoop ecosystems, or comparable platforms. Experience designing both batch and near-real-time or streaming data solutions. Strong understanding of dimensional modeling, data vault, normalized data models, lakehouse architectures, data lake architectures, and data warehouse design principles. Experience implementing data quality, data validation, monitoring, lineage, metadata, governance, and security controls. Working knowledge of DevOps and DataOps practices, including Git-based source control, CI/CD, automated testing, deployment automation, and infrastructure as code. Strong understanding of cloud security principles, identity and access management, encryption, secrets management, and role-based access controls. Proven ability to lead architecture discussions and make well-reasoned technical tradeoffs involving performance, scalability, reliability, maintainability, security, and cost. Excellent verbal, written, and presentation skills, with the ability to explain technical concepts clearly to business stakeholders and executive audiences. Experience in a consulting, professional services, systems integrator, or client-facing delivery environment. Preferred Qualifications Experience designing data platforms that support AI, machine learning, generative AI, retrieval-augmented generation, feature stores, vector databases, or advanced analytics workloads. Certifications in AWS, Azure, Google Cloud, Databricks, Snowflake, Microsoft Fabric, or other relevant data technologies. Experience with master data management, data cataloging, data governance, privacy, regulatory compliance, or data stewardship programs. Experience with tools such as Collibra, Alation, Microsoft Purview, Unity Catalog, Informatica, Monte Carlo, Great Expectations, or similar governance and observability platforms. Experience with Salesforce, SAP, ERP, CRM, finance, supply-chain, healthcare, retail, manufacturing, or other enterprise operational data domains. Familiarity with BI and semantic-layer technologies such as Power BI, Tableau, Looker, ThoughtSpot, or similar platforms. Experience with containerization and cloud-native technologies such as Docker, Kubernetes, Terraform, CloudFormation, Bicep, or Pulumi. Prior experience contributing to proposals, estimates, statements of work, or technical sales pursuits. Experience managing or leading distributed onshore/offshore delivery teams. Powered by JazzHR zr49e0PRzQ
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 Overview : Biotherapeutics and Genetic Medicine (BGM) sits within AbbVie's Discovery Research organization and supports discovery and optimization across biotherapeutic and genetic medicine modalities, including monoclonal antibodies, multispecifics, proteins, conjugates, AAV, LNPs, and siRNA. The Principal Data Architect will shape the cloud-native data foundation that enables predictive and generative AI/ML solutions in discovery scientist workflows. This role owns the architecture, adoption, and continuous improvement of a scalable data platform that connects laboratory data across dozens of assays, supports machine learning development and deployment, and improves how scientific data is used across the organization. The position reports to the Head of AI/ML in BGM and serves as a trusted advisor to senior leadership. This is a technical leadership role on the individual contributor track, with potential to expand into people management in the future. It requires close partnership with wet lab scientists, ML engineers, software engineers, data engineers, automation teams, and data governance partners. The role is central to building a robust, resilient, and scalable data foundation for BGM's AI/ML strategy. Responsibilities Define and drive the architecture for a scalable, cloud-native data platform that supports AbbVie's AI/ML strategy in BGM. Design data models and integration patterns that connect datasets generated across multiple lab groups and establish certified datasets for downstream scientific, operational, and machine learning use. Partner with wet lab scientists and automation engineers to maximize the value of data captured through lab automation workflows. Work with data scientists and deployment engineers to ensure data pipelines support both model development and production deployment. Advance FAIR data practices and data stewardship in alignment with BGM strategic priorities. Champion connected data, data-as-a-product, and cloud-first architecture principles across the organization. Partner with data infrastructure and governance experts to ensure data policies are implemented effectively. Align BGM data infrastructure initiatives with broader AbbVie efforts such as Convergence and ARCH. Communicate platform impact through user stories, metrics, and KPIs that show the value of the data platform to AbbVie's therapeutic program pipeline. Qualifications MS with 14+ years' or PhD with 8+ years' in machine learning, computer science, applied mathematics, data science, computational biology, or a closely related field. 6+ years of experience in data architecture after completion of graduate studies, with a track record of designing enterprise data platforms Graduate degree in computer science, data science, computational biology, computational chemistry, computational biophysics, or a related field. Experience designing enterprise data platforms. Strong technical skills in data modeling, data integration, data storage solutions, data pipelines, and AI/ML integration. Production programming experience in SQL, Python, or Java. Experience building cloud data infrastructure on AWS, Azure, or GCP. Ability to work across wet lab and dry lab scientific workflows. Experience collaborating across functions and building stakeholder alignment. Strong communication and interpersonal skills. Ability to apply data governance principles in day-to-day decision-making. Experience in the pharmaceutical or biotechnology industry. Preferred: Experience leading cross-functional technical teams across reporting lines and multiplying their impact through best practices. Experience working in large, cross-functional R&D environments. Work Environment: Hybrid role based in Worcester, MA. On-site presence required 3 days per week. This is an individual contributor role. 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
10/26/2026
Full time
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 Overview : Biotherapeutics and Genetic Medicine (BGM) sits within AbbVie's Discovery Research organization and supports discovery and optimization across biotherapeutic and genetic medicine modalities, including monoclonal antibodies, multispecifics, proteins, conjugates, AAV, LNPs, and siRNA. The Principal Data Architect will shape the cloud-native data foundation that enables predictive and generative AI/ML solutions in discovery scientist workflows. This role owns the architecture, adoption, and continuous improvement of a scalable data platform that connects laboratory data across dozens of assays, supports machine learning development and deployment, and improves how scientific data is used across the organization. The position reports to the Head of AI/ML in BGM and serves as a trusted advisor to senior leadership. This is a technical leadership role on the individual contributor track, with potential to expand into people management in the future. It requires close partnership with wet lab scientists, ML engineers, software engineers, data engineers, automation teams, and data governance partners. The role is central to building a robust, resilient, and scalable data foundation for BGM's AI/ML strategy. Responsibilities Define and drive the architecture for a scalable, cloud-native data platform that supports AbbVie's AI/ML strategy in BGM. Design data models and integration patterns that connect datasets generated across multiple lab groups and establish certified datasets for downstream scientific, operational, and machine learning use. Partner with wet lab scientists and automation engineers to maximize the value of data captured through lab automation workflows. Work with data scientists and deployment engineers to ensure data pipelines support both model development and production deployment. Advance FAIR data practices and data stewardship in alignment with BGM strategic priorities. Champion connected data, data-as-a-product, and cloud-first architecture principles across the organization. Partner with data infrastructure and governance experts to ensure data policies are implemented effectively. Align BGM data infrastructure initiatives with broader AbbVie efforts such as Convergence and ARCH. Communicate platform impact through user stories, metrics, and KPIs that show the value of the data platform to AbbVie's therapeutic program pipeline. Qualifications MS with 14+ years' or PhD with 8+ years' in machine learning, computer science, applied mathematics, data science, computational biology, or a closely related field. 6+ years of experience in data architecture after completion of graduate studies, with a track record of designing enterprise data platforms Graduate degree in computer science, data science, computational biology, computational chemistry, computational biophysics, or a related field. Experience designing enterprise data platforms. Strong technical skills in data modeling, data integration, data storage solutions, data pipelines, and AI/ML integration. Production programming experience in SQL, Python, or Java. Experience building cloud data infrastructure on AWS, Azure, or GCP. Ability to work across wet lab and dry lab scientific workflows. Experience collaborating across functions and building stakeholder alignment. Strong communication and interpersonal skills. Ability to apply data governance principles in day-to-day decision-making. Experience in the pharmaceutical or biotechnology industry. Preferred: Experience leading cross-functional technical teams across reporting lines and multiplying their impact through best practices. Experience working in large, cross-functional R&D environments. Work Environment: Hybrid role based in Worcester, MA. On-site presence required 3 days per week. This is an individual contributor role. 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