172 jobs found

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do As a Manager in Guidehouse's AI & Data practice, you will serve as a hands-on technical leader and delivery manager designing and implementing modern cloud-native data platforms for federal clients, with a primary emphasis on AWS and Databricks. You will lead architecture decisions, mentor engineers, and ensure high-quality, secure, and scalable delivery aligned to mission outcomes. Key responsibilities include: Architect and lead delivery of AWS-based lakehouse solutions using Databricks, including integration with AWS-native services such as S3, Glue, Lambda, IAM, and Redshift where appropriate. Design, build, and optimize ETL/ELT pipelines leveraging Databricks, Apache Spark, Delta Lake, Python, and SQL, supporting batch and streaming use cases. Define and enforce data architecture standards including ingestion patterns, layered/medallion designs, schema evolution, performance tuning, and cost optimization. Implement production-grade engineering practices, including data quality validation, reconciliation, logging, monitoring, and operational alerting. Apply data security and governance controls appropriate for federal and defense environments, including role-based access, controlled data handling, and auditability. Partner with client stakeholders and product owners to translate mission and business requirements into technical designs, delivery roadmaps, and implementation plans. Lead and mentor data engineers through code reviews, architecture reviews, and delivery execution; contribute to reusable accelerators and reference architectures. Establish and mature CI/CD pipelines for Databricks workloads and supporting infrastructure, improving reliability, repeatability, and compliance of releases. What You Will Need US Citizenship required. An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelor's degree obtained or equivalent experience. Seven (7+) years of progressive experience in data engineering, data platform delivery, or data architecture roles, including leading technical teams or workstreams. Strong hands-on experience with AWS data platforms, including designing and operating production systems leveraging Databricks on AWS. Deep expertise with Apache Spark, Databricks, Delta Lake, Python, and SQL, including performance tuning of distributed workloads. Experience designing scalable, secure data architectures that support analytics, reporting, and advanced use cases (e.g., AI/ML enablement). Familiarity with Agile delivery methods and proven ability to collaborate effectively with cross-functional and client teams. Strong written and verbal communication skills, including the ability to explain complex technical topics to non-technical stakeholders. What Would Be Nice To Have Experience delivering Azure-based data platforms, including Azure Databricks, ADLS Gen2, Azure Data Factory, or Synapse Analytics. Bachelor's degree obtained. Computer Science, Engineering, Information Systems, or a related technical field. Experience with Databricks Unity Catalog, including permissions management and governance enablement. Infrastructure-as-Code experience (e.g., Terraform) and advanced CI/CD automation for data platforms. Experience with streaming and event-driven architectures (e.g., Kafka, Kinesis). Cloud or platform certifications (AWS, Databricks, or Azure). Prior experience supporting DoD or Defense & Security federal clients. The annual salary range for this position is $106,000.00-$176,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do As a Manager in Guidehouse's AI & Data practice, you will serve as a hands-on technical leader and delivery manager designing and implementing modern cloud-native data platforms for federal clients, with a primary emphasis on AWS and Databricks. You will lead architecture decisions, mentor engineers, and ensure high-quality, secure, and scalable delivery aligned to mission outcomes. Key responsibilities include: Architect and lead delivery of AWS-based lakehouse solutions using Databricks, including integration with AWS-native services such as S3, Glue, Lambda, IAM, and Redshift where appropriate. Design, build, and optimize ETL/ELT pipelines leveraging Databricks, Apache Spark, Delta Lake, Python, and SQL, supporting batch and streaming use cases. Define and enforce data architecture standards including ingestion patterns, layered/medallion designs, schema evolution, performance tuning, and cost optimization. Implement production-grade engineering practices, including data quality validation, reconciliation, logging, monitoring, and operational alerting. Apply data security and governance controls appropriate for federal and defense environments, including role-based access, controlled data handling, and auditability. Partner with client stakeholders and product owners to translate mission and business requirements into technical designs, delivery roadmaps, and implementation plans. Lead and mentor data engineers through code reviews, architecture reviews, and delivery execution; contribute to reusable accelerators and reference architectures. Establish and mature CI/CD pipelines for Databricks workloads and supporting infrastructure, improving reliability, repeatability, and compliance of releases. What You Will Need US Citizenship required. An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelor's degree obtained or equivalent experience. Seven (7+) years of progressive experience in data engineering, data platform delivery, or data architecture roles, including leading technical teams or workstreams. Strong hands-on experience with AWS data platforms, including designing and operating production systems leveraging Databricks on AWS. Deep expertise with Apache Spark, Databricks, Delta Lake, Python, and SQL, including performance tuning of distributed workloads. Experience designing scalable, secure data architectures that support analytics, reporting, and advanced use cases (e.g., AI/ML enablement). Familiarity with Agile delivery methods and proven ability to collaborate effectively with cross-functional and client teams. Strong written and verbal communication skills, including the ability to explain complex technical topics to non-technical stakeholders. What Would Be Nice To Have Experience delivering Azure-based data platforms, including Azure Databricks, ADLS Gen2, Azure Data Factory, or Synapse Analytics. Bachelor's degree obtained. Computer Science, Engineering, Information Systems, or a related technical field. Experience with Databricks Unity Catalog, including permissions management and governance enablement. Infrastructure-as-Code experience (e.g., Terraform) and advanced CI/CD automation for data platforms. Experience with streaming and event-driven architectures (e.g., Kafka, Kinesis). Cloud or platform certifications (AWS, Databricks, or Azure). Prior experience supporting DoD or Defense & Security federal clients. The annual salary range for this position is $106,000.00-$176,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance Required: Active Secret What You Will Do As a Data Architect, you will lead the design, implementation, and evolution of enterprise scale data architectures supporting advanced analytics, AI/ML, and mission critical decision making for federal clients. You will serve as a technical authority responsible for ensuring data solutions are scalable, secure, and aligned with federal and DoD architecture, governance, and compliance requirements. You will work closely with data engineers, AI/ML teams, platform engineers, and government stakeholders to translate mission needs into robust data architectures, leveraging Databricks and Palantir Foundry as core delivery platforms. Key responsibilities include: Lead the end to end design of data architectures supporting analytics, AI/ML, and operational reporting Define logical and physical data models, ingestion patterns, transformation layers, and consumption frameworks Architect solutions for large scale structured and semi structured datasets, including federal financial and operational data Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry Establish architecture standards for data integration, metadata, lineage, and data quality Ensure architectures align with federal security, compliance, and data governance requirements Partner with AI/ML, MLOps, and analytics teams to enable production grade model development and deployment Guide implementation teams through complex architectural decisions and trade offs Support system design reviews, technical documentation, and government architecture forums Mentor junior architects and engineers while providing technical leadership across engagements What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field FIVE (5) or more years of experience in data architecture, data engineering, or enterprise analytics roles Hands on experience with Databricks (Spark, Delta Lake, performance optimization, production architectures) Hands on experience with Palantir Foundry, including data pipelines, ontology, and analytics enablement Strong experience designing enterprise data architectures supporting analytics and AI/ML workloads Experience with SQL and distributed data processing frameworks Experience integrating multiple data sources and managing complex data pipelines What Would Be Great to Have Strong understanding of data governance, metadata management, and lineage Ability to clearly communicate architectural designs to both technical and executive audiences Experience supporting the Department of Defense, including exposure to Advana or DoD enterprise data platforms Experience working with federal financial, budgetary, accounting, or audit data Experience architecting solutions in Azure Government or AWS GovCloud Familiarity with MLOps and how data architecture supports model lifecycle management Knowledge of data cataloging, semantic layers, and enterprise metadata strategies Experience designing data architectures that support Responsible AI and model governance Experience leading architecture reviews or serving as an approving authority Master's degree in a related technical discipline What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance Required: Active Secret What You Will Do As a Data Architect, you will lead the design, implementation, and evolution of enterprise scale data architectures supporting advanced analytics, AI/ML, and mission critical decision making for federal clients. You will serve as a technical authority responsible for ensuring data solutions are scalable, secure, and aligned with federal and DoD architecture, governance, and compliance requirements. You will work closely with data engineers, AI/ML teams, platform engineers, and government stakeholders to translate mission needs into robust data architectures, leveraging Databricks and Palantir Foundry as core delivery platforms. Key responsibilities include: Lead the end to end design of data architectures supporting analytics, AI/ML, and operational reporting Define logical and physical data models, ingestion patterns, transformation layers, and consumption frameworks Architect solutions for large scale structured and semi structured datasets, including federal financial and operational data Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry Establish architecture standards for data integration, metadata, lineage, and data quality Ensure architectures align with federal security, compliance, and data governance requirements Partner with AI/ML, MLOps, and analytics teams to enable production grade model development and deployment Guide implementation teams through complex architectural decisions and trade offs Support system design reviews, technical documentation, and government architecture forums Mentor junior architects and engineers while providing technical leadership across engagements What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field FIVE (5) or more years of experience in data architecture, data engineering, or enterprise analytics roles Hands on experience with Databricks (Spark, Delta Lake, performance optimization, production architectures) Hands on experience with Palantir Foundry, including data pipelines, ontology, and analytics enablement Strong experience designing enterprise data architectures supporting analytics and AI/ML workloads Experience with SQL and distributed data processing frameworks Experience integrating multiple data sources and managing complex data pipelines What Would Be Great to Have Strong understanding of data governance, metadata management, and lineage Ability to clearly communicate architectural designs to both technical and executive audiences Experience supporting the Department of Defense, including exposure to Advana or DoD enterprise data platforms Experience working with federal financial, budgetary, accounting, or audit data Experience architecting solutions in Azure Government or AWS GovCloud Familiarity with MLOps and how data architecture supports model lifecycle management Knowledge of data cataloging, semantic layers, and enterprise metadata strategies Experience designing data architectures that support Responsible AI and model governance Experience leading architecture reviews or serving as an approving authority Master's degree in a related technical discipline What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance Required: Active Secret What You Will Do As a Data Architect, you will lead the design, implementation, and evolution of enterprise scale data architectures supporting advanced analytics, AI/ML, and mission critical decision making for federal clients. You will serve as a technical authority responsible for ensuring data solutions are scalable, secure, and aligned with federal and DoD architecture, governance, and compliance requirements. You will work closely with data engineers, AI/ML teams, platform engineers, and government stakeholders to translate mission needs into robust data architectures, leveraging Databricks and Palantir Foundry as core delivery platforms. Key responsibilities include: Lead the end to end design of data architectures supporting analytics, AI/ML, and operational reporting Define logical and physical data models, ingestion patterns, transformation layers, and consumption frameworks Architect solutions for large scale structured and semi structured datasets, including federal financial and operational data Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry Establish architecture standards for data integration, metadata, lineage, and data quality Ensure architectures align with federal security, compliance, and data governance requirements Partner with AI/ML, MLOps, and analytics teams to enable production grade model development and deployment Guide implementation teams through complex architectural decisions and trade offs Support system design reviews, technical documentation, and government architecture forums Mentor junior architects and engineers while providing technical leadership across engagements What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field FIVE (5) or more years of experience in data architecture, data engineering, or enterprise analytics roles Hands on experience with Databricks (Spark, Delta Lake, performance optimization, production architectures) Hands on experience with Palantir Foundry, including data pipelines, ontology, and analytics enablement Strong experience designing enterprise data architectures supporting analytics and AI/ML workloads Experience with SQL and distributed data processing frameworks Experience integrating multiple data sources and managing complex data pipelines What Would Be Great to Have Strong understanding of data governance, metadata management, and lineage Ability to clearly communicate architectural designs to both technical and executive audiences Experience supporting the Department of Defense, including exposure to Advana or DoD enterprise data platforms Experience working with federal financial, budgetary, accounting, or audit data Experience architecting solutions in Azure Government or AWS GovCloud Familiarity with MLOps and how data architecture supports model lifecycle management Knowledge of data cataloging, semantic layers, and enterprise metadata strategies Experience designing data architectures that support Responsible AI and model governance Experience leading architecture reviews or serving as an approving authority Master's degree in a related technical discipline What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: 1. Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. 2. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. 3. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Content Platforms & Operations is responsible for the development and ongoing advancement of the technical and operational functions driving the worldwide distribution and monetization of Disney's linear networks and theatrical content. This includes Disney's media supply chain and storage, network and theatrical distribution operations, media localization, network transmission and origination, and more. The global team also plays a critical role as the primary collaboration point for Product & Technology with Disney's EMEA, APAC, and LATAM regional business teams. Job Summary: Disney Media Engineers have a clear charter: to transform the capability and flexibility of how Disney acquires, produces, and distributes content worldwide, all while ensuring the highest levels of quality, efficiency, and resiliency. Disney Media Engineers often find themselves at the crossroads between hardware and software based technology and must possess a comprehensive theoretical and practical understanding of the technology that powers the generation, monetization, and distribution of all forms of consumer- facing linear and digital video/audio content. Responsibility includes numerous systems such as Playout Technology, Studios, Production Control Rooms, Remote Production, Post-Production, Contribution/Distribution Systems, Networking, Cloud Compute, Production Software and Virtual Environment and more. The Lead Media Systems Engineer is an expert engineer in several disciplines related to the acquisition, production, or distribution of media content. They are well-versed in multiple technical standards and have hands-on experience in both the sustainment and design/build of production systems. The Lead Media Systems Engineer is part of a tiered sustainment model where incidents are escalated from a shared Operations team (tier 1) to the Media Engineer I's, II's and Sr. Media Engineer (tier 2), Lead Media Engineer (tier 3) and beyond. They are the heart of the sustainment efforts in the technology they lead. The Lead Media Engineer will interface with both external and internal partners to ensure their technical areas are operating with peak efficiency and reliability. Lead Media Engineers are also focused heavily on the design/build of their areas of expertise, often advancing innovative technology to maintain Disney's competitive technical edge. Lead Media Engineers perform beyond the technical to truly understand the businesses that benefit from our technology and make decisions and recommendations based on the complete business, operational and technical outlook, and requirements. Responsibilities and Duties of the Role: Respond to and resolve issues that affect acquisition, production, and content distribution across multiple DEE networks including system outages, malfunctions, and related technical problems, and conduct diagnostic testing, repair, and replacement activities necessary to solve routine, specialized, and complex problems. Utilize system health and performance monitoring software and platforms; troubleshoot and participate in repairing system problems and failures, participates in maintenance of systems, installs software patches, updates etc., to resolve and avoid service problems, and troubleshoots system problems as they relate to these services. Analyze and troubleshoot streaming audio/video signals in traditional SDI and IP 2110 essence flow routing environments. Analyze and troubleshoot cloud platforms as necessary Support third-party service providers by enforcing the agreed upon scope of services within the various signed service agreements (i.e., full time, freelance, union agencies, maintenance providers, contractors, service providers, etc.). Select, train, motivate and evaluate technical staff; provide or coordinate staff training; work with employees to correct deficiencies; implement discipline procedures. Support the procurement of equipment, supplies and materials for Media technology systems within budget guidelines; receive and maintain equipment and supplies. Support long range planning for future media technology needs, including capital improvements, to enhance production and distribution capabilities. Lead the development and implementation of policies and procedures regarding technology facilities with a focus on maximizing the integration of all systems to meet business, marketing, and entertainment goals. Lead operational support of all activities related to operating, maintaining, and programming the audio and video production/distribution systems across the enterprise and other connected properties. When required perform preventative maintenance on all broadcast systems and equipment, such as distribution systems, switchers, consoles, playout servers, cameras, robotics, electromechanical equipment, automation systems and radio facilities to ensure optimum broadcast performance. Participates in engineering projects at the direction of more experienced engineers. Reviews and contributes to system/workflow documentation. Participates in regular training and development objectives. Extraordinary influencer who is skilled at connecting the dots at the organization, strategy, program, project, and event levels. Able to persuade and change the thinking of others without damaging relationships. Comfortable working in a fast-paced, growth environment with minimal direction, delivering under tight deadlines while multitasking, prioritizing projects, and communicating priority updates to team members. Able to operate with limited resources, exhibit objective critical-thinking, and creatively solve problems. Motivated and inventive, always finds a way forward-eternal optimist with a committed drive for contributing and making a difference. Any other duties needed to help achieve Business Objectives. Required Education, Experience/Skills/Training: Minimum Qualifications: 7 + years of previous and relevant experience in leading others, developing technical strategies ensuring efficient sustainment, uptime, and overall stability of the technical environments of Media Engineering and live media production and distribution environments. Expert level knowledge and experience with integrating, implementing, or refreshing broadcast control room equipment, including familiarity with modern broadcast cabling infrastructure used in broadcast environments. Proficient with technologies like microservices, DevOps tools, design principles, practices, standards and guidelines Scripting proficiency will be an advantage (Python, NodeJS, Bash, PowerShell) Proficient in SMPTE standards for broadcast television and video production/streaming environments with a current certification such as not limited to ST 292M, ST 424M, ST 2110, ST 2059, IEE1588, ST 2022-7, SCTE-104, etc. Advanced level knowledge and experience with on-prem and cloud-based storage and compute infrastructure platforms and current technological offerings. At least one foundational cloud certification required, including but not limited to Microsoft Certified: Microsoft Azure Fundamentals, CompTIA Cloud+, AWS Certified Solutions Architect - Associate. Advanced level knowledge and experience with compression techniques such as MPEG2/4, HEVC, JPEG 2000, and JPEG XS Expert level knowledge and experience with Evertz software control systems such as frame control via VistaLink or Magnum, EQX/EXE routers, and their monitoring software VLPRO, SDVN, VIP, VUE, MVP. Advanced level knowledge and experience with major media systems and the vendors that supply them in areas such as asset management systems, file-based workflows, media acquisition, transcoding/encoding, graphics, and NAS/SAN technologies. Expert level knowledge and experience with Nielsen (NACAT), VANC equipment, Linear Acoustics, and other related systems. Expert level knowledge and experience with coordinated receiver decoders IRDs . click apply for full job details

Job Family: Software Development & Support Travel Required: Up to 10% Clearance Required: None The Senior Software Engineer will contribute to delivery by designing and developing enterprise-level application components, integrations, and data structures with an AI-first engineering mindset, where automation and AI-driven workflows are used as standard solutions when suitable. This position is part of IT, aligned with Portfolio Leadership, and ensures ongoing development ownership and continuity. The role utilizes forward deployed engineering (FDE) and focuses on building and maintaining solutions for long-term support and growth. What You Will Do: Design, build, and enhance enterprise application components supporting solution delivery, including initial delivery tranches and follow-on iterations. Engineer solutions using an AI first mindset, incorporating AI enabled workflows and automation as part of the core delivery approach where it adds value and is supportable long term by IT. Implement and optimize integration patterns and mass API workflows to connect systems and orchestrate end-to-end processing. Lead development of data architecture, database design, and data structuring approaches to support scalable solutions. Collaborate closely with business stakeholders and IT delivery partners in a cross functional, FDE model to move solutions from concept to production-ready delivery. Provide hands-on support as well as mentoring the junior developer(s) as needed. Partner with adjacent teams to ensure solutions are aligned with enterprise platforms, including emerging AI enabled capabilities. Apply enterprise standards and controls (e.g., security, access, change/release, testing standards), including additional controls for systems subject to ITGC/SOX where applicable. What You Will Need: Bachelor's degree with minimum of 7+ years of experience in software engineering or application development roles, with a demonstrated track record delivering enterprise scale, production ready solutions. Strong experience developing full stack applications, including back end services (e.g., Python) and modern JavaScript frameworks (React.js and/or Next.js, TypeScript). Strong experience with integration development, including designing and consuming APIs and MCPs, high volume / mass API patterns, and end to end system connectivity. Strong experience with database architecture and data structuring, including designing for scalability, maintainability, and operational support. Experience working with containerized applications, including Docker and Kubernetes. Experience using GIT repositories, such as GitHub. Experience working within SDLC methodologies, including requirements, design, development, testing, and deployment. Demonstrated ability to incorporate AI enabled workflows and automation into enterprise solutions (delivery practicality, not just experimentation). Ability to work effectively in FDE, cross functional delivery teams, partnering directly with business and functional stakeholders to translate needs into working solutions. Domain expertise as a core requirement-ability to understand and operate fluently within the HR business domain that custom portfolio solutions support. Excellent verbal and written communication skills. What Would Be Nice to Have: Degree in Computer Science, Engineering, Information Systems, or a related field or equivalent practical experience. Knowledge of enterprise workforce and delivery platforms, including HR systems like Workday, as well as related staffing, resource management, finance, time/utilization, and engagement delivery systems that support end-to-end resourcing and execution. Background in Microsoft Azure cloud services. Familiarity with DevOps CI/CD tools, such as Azure Pipelines or GitHub Actions. Experience working in a delivery model focused on rapid iteration within pods, utilizing reusable patterns and practical acceleration, while ensuring enterprise controls are maintained. Experience mentoring junior engineers and enhancing pod execution through effective engineering leadership. The annual salary range for this position is $92,000.00-$153,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Description Job Summary Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption. Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights. Job Specific Duties Designs and develops highly scalable, end to end process to consume, integrate and analyze large volume, and complex data from dispersed data sources on both on premise and cloud-based data environments and systems. Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption. Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights. Engages and communicates effectively with a variety of IT, research, and medical staff. Integrates and ETL/ELT datasets and flows using a variety of open source and best in class proprietary software. Write complex, efficient queries against large, and disparate data sources. Monitors ETL/ELT performance and ensures compliance with security. Deploy sophisticated analytics programs, machine learning, and statistical methods. Prepare data for predictive and prescriptive modeling. Find hidden patterns using data to help improve business insights. Use of machine learning patterns for data discovery and on tasks that can be automated. Qualifications Minimum Job Requirements Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field with at least 4 years of combined experience in Clinical IT and/or Research (or) Master's degree in IT, Biomedical Informatics, Computer Science, Engineering with at least 2 years of combined experience in Clinical IT and/or Research 1-3 years of data engineering and integration experience 1-3 years of data management in cloud-based data environments such as Azure or AWS 3-5 years of experience developing database schemas, querying, managing, or curating Oracle PL/SQL or SQL server databases 1-3 years of data warehousing ELT/ETL experience 1-3 years of experience with the use of Python, SQL, SSIS, or Informatica for data ETL and data transformations Experience working with API's/RESTful Web Services Experience with XML, JSON, HL7, or FHIR Experience with data visualization tools such as Tableau or Power BI Knowledge, Skills, and Abilities Direct experience or strong familiarity with commercial EHR platform and/or PeopleSoft. Experience extracting and managing data from large enterprise clinical and non-clinical systems. Familiarity with and experience with efficient database ETL processes - extracting data from a wide range of data sources, normalizing data, creating and providing entity relationship diagrams, schemas and related documentation, creating primary and foreign keys and indexing, writing functional and technical specifications. Ability to learn and apply new technical skills. Willingness and ability to share knowledge with other team members. Ability to adapt to changes in fast paced healthcare and data environment. Identify ways to improve data reliability, efficiency, and quality. Effective work experience developing, integrating, and supporting data systems; working with a combination of both relational and NoSQL databases. Job: Information Technology Department: ENTERPRISE BUS INTELLIGENCE-06 Job Status: Professional

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance Required: Active Secret Guidehouse seeks a Data Engineer to support the Department of Defense (DoD) by designing, building, and operating data pipelines and analytics solutions on the Advana platform, leveraging Databricks and Palantir Foundry to enable authoritative, decision-grade financial and operational insights. The ideal candidate will have strong hands-on experience engineering scalable data solutions in secure federal cloud environments and working with financial, budgetary, and execution data. What You Will Do: Design, develop, and maintain end-to-end data pipelines using Databricks (Spark, PySpark, SQL) to ingest, transform, and curate structured and semi-structured data from authoritative DoD source systems. Engineer and optimize data models, Delta tables, and curated datasets to support financial reporting, PPBE workflows, auditability, and mission analytics within Advana and downstream Foundry use cases. Develop, maintain, and deploy Foundry pipelines, transforms, and data products, enabling traceability, lineage, and repeatable analytics workflows for DoD stakeholders. Implement and manage CI/CD and version-controlled data engineering workflows using Git-based repositories and automated deployment patterns aligned with DoD security and ATO requirements. Build and deploy cloud-native solutions in secure AWS and Azure environments, supporting IL4/IL5 architectures as applicable, and leveraging containerization where approved. Partner with functional SMEs, financial analysts, platform engineers, and governance teams to ensure data pipelines conform to DoD financial data standards, business rules, and controls. Implement robust data quality, reconciliation, validation, and monitoring capabilities to support financial accuracy, audit readiness, and confidence in reported metrics. Support data integration, modernization, and migration efforts, including onboarding legacy financial systems and transitioning workloads to Databricks and Foundry within Advana. Troubleshoot and resolve pipeline, performance, and data integrity issues in production environments, ensuring high availability and reliability in mission-critical systems. Document data flows, engineering designs, and operational procedures to support compliance, knowledge transfer, and platform accreditation. Stay current on emerging data engineering, analytics platform, and DevSecOps best practices relevant to DoD enterprise data environments. What You Will Need: US Citizenship is required. Must have an ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance with the ability to meet all client security and access requirements. Bachelor's degree obtained Minimum FIVE (5) years of experience in data engineering, analytics engineering, or software development, preferably in regulated or federal environments. Strong proficiency in Python, SQL, PySpark, and Spark-based data processing. Demonstrated hands-on experience with Databricks, including Delta Lake, notebook development, performance tuning, and production pipelines; experience supporting or integrating with DoD Advana is highly desirable. Experience building or supporting data solutions using Palantir Foundry, including pipelines, transforms, datasets, and data lineage. Experience working with relational and analytical data stores (e.g., Databricks, Oracle, Postgres, SQL Server) and applying sound data modeling principles. Familiarity with Git-based version control, CI/CD concepts, and Agile delivery methodologies in secure environments. Experience handling federal financial data, including budget, execution, and accounting data, with an understanding of data controls and reconciliation needs. Ability to operate independently in a fast-paced, mission-focused environment. Strong analytical, troubleshooting, and communication skills, including the ability to translate complex technical concepts for both technical and non-technical audiences. What Would Be Nice To Have: Bachelor's degree in computer science, Information Systems, Engineering, or a related field (or equivalent practical experience). Direct experience supporting DoD financial, PPBE, comptroller, or audit-related programs. Prior experience working directly within the Advana ecosystem or adjacent DoD enterprise analytics platforms. Advanced Palantir Foundry experience, including operationalizing analytics for large user communities. Cloud certifications (AWS, Azure, Databricks). Familiarity with data governance, metadata management, lineage, and access controls in classified or controlled unclassified environments. Understanding of DoD data, security, and compliance frameworks (e.g., RMF, ATO processes). Previous consulting experience supporting federal or defense clients. The annual salary range for this position is $85,000.00-$141,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse 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 accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Content Platforms & Operations is responsible for the development and ongoing advancement of the technical and operational functions driving the worldwide distribution and monetization of Disney's linear networks and theatrical content. This includes Disney's media supply chain and storage, network and theatrical distribution operations, media localization, network transmission and origination, and more. The global team also plays a critical role as the primary collaboration point for Product & Technology with Disney's EMEA, APAC, and LATAM regional business teams. Disney Media Engineers have a clear charter: to transform the capability and flexibility of how Disney acquires, produces, and distributes content worldwide, all while ensuring the highest levels of quality, efficiency, and resiliency. Disney Media Engineers often find themselves at the crossroads between hardware and software-based technology and must possess a comprehensive theoretical and practical understanding of the technology that powers the generation, monetization, and distribution of all forms of consumer- facing linear and digital video/audio content. Responsibility includes numerous systems such as Playout Technology, Studios, Production Control Rooms, Remote Production, Post-Production, Contribution/Distribution Systems, Networking, Cloud Compute, Production Software and Virtual Environment and more. The Media Systems Engineer II position is another step toward technical proficiency. The Media Systems Engineer II primarily focuses on architecting, designing, and constructing the varied technical platforms that power our linear and digital platforms. The Media Systems Engineer II position will work closely under the direction of more senior engineers and 3rd party partners to develop technology that efficiently and effectively delivers on the requirements set forth by technical, business or operations leaders. Responsibilities and Duties of the Role: Architect, design, source, and construct media technology environments that allow DEEP&T Technology the ability to acquire, produce, store, stream, distribute our content. Resolve issues that affect production, broadcast, and content distribution across multiple DEEP&T networks including system outages, malfunctions, and related technical problems, and conduct diagnostic testing, repair, and replacement activities necessary to solve routine, specialized, and complex problems. Analyze and troubleshoot streaming audio/video signals in traditional SDI and IP 2110 essence flow routing environments. Analyze and troubleshoot cloud platforms as necessary. Manage third-party service providers by enforcing the agreed upon scope of services within the various signed service agreements (i.e., full time, freelance, union agencies, maintenance providers, contractors, service providers, etc.). Select, train, motivate and evaluate technical staff; provide or coordinate staff training; work with employees to correct deficiencies; implement discipline procedures. Specify and procure equipment, supplies and materials for Media technology systems within budget guidelines; receive and maintain equipment and supplies. Develop long range plans for future media technology needs, including capital improvements, to enhance production and distribution capabilities. Assist in the development and implementation of policies and procedures regarding technology facilities with a focus on maximizing the integration of all systems to meet business, marketing, and entertainment goals. Provide operational support of all activities related to operating, maintaining, and programming the audio and video production/distribution systems across the enterprise and other connected properties. Utilize system software health and performance monitoring platforms; troubleshoot and participate in repairing system problems and failures, participates in maintenance of systems, installs software patches, updates etc., to resolve and avoid service problems, and troubleshoots system problems as they relate to these services Performs upgrades to system hardware and software workflows under the supervision of a more experienced engineer or supervisor. Participates in complex engineering projects at the direction of more experienced engineers. Reviews, maintains, and contributes to system/workflow documentation. Participates in training and development objectives. Conducts peer training and development sessions. Extraordinary influencer who is skilled at connecting the dots at the organization, strategy, program, project, and event levels. Able to persuade and change the thinking of others without damaging relationships. Comfortable working in a fast-paced, growth environment with minimal direction, delivering under tight deadlines while multitasking, prioritizing projects, and communicating priority updates to team members. Able to operate with limited resources, exhibit dispassionate critical-thinking, and creatively solve problems. Motivated and inventive, always finds a way forward-eternal optimist with a committed drive for contributing and making a difference. Any other duties needed to help achieve Business Objectives Minimum Qualifications: 3 years of demonstrated and relevant experience in leading others ensuring efficient design/build, uptime, and overall stability of the technical environments of live media production and distribution. Bachelor's Degree in electrical engineering, computer science or equivalent major, and/or equivalent work experience. Scripting proficiency will be an advantage (Python, NodeJS, Bash, PowerShell) Knowledge and experience with integrating, implementing, or refreshing broadcast control room equipment, including familiarity with modern broadcast cabling infrastructure used in broadcast environments. Proficient in SMPTE standards for broadcast television and video production/streaming environments with a current certification such as not limited to ST 292M, ST 424M, ST 2110, ST 2059, IEE1588, ST 2022-7, SCTE-104, etc. Knowledge and experience with on-prem and cloud-based storage and compute infrastructure platforms and current technological offerings. At least one foundational cloud certification required, including but not limited to Microsoft Certified: Microsoft Azure Fundamentals, CompTIA Cloud+, AWS Certified Solutions Architect - Associate. Knowledge and experience with compression techniques such as MPEG2/4, HEVC, JPEG 2000, and JPEG XS. Knowledge and experience with Evertz software control systems such as frame control via VistaLink or Magnum, EQX/EXE routers, and their monitoring software VLPRO, SDVN, VIP, VUE, MVP. Knowledge and experience with major media systems and the vendors that supply them in areas such as asset management systems, file-based workflows, media acquisition, transcoding/encoding, graphics, and NAS/SAN technologies Knowledge and experience with Nielsen (NACAT), VANC equipment, Linear Acoustics, and other related systems. Knowledge and experience with coordinated receiver decoders IRDs, core devices, edge devices, timing of video and audio systems, audio and video media file formats are a plus. Ability to create, read and interpret AutoCAD and other technical drawing/documentation tools. Proficiency in at least one of the following languages: Perl, Python, Ruby, Shell, C or C++. Advanced track record for designing and building IP-based broadcast equipment including one or more of the following: Routers, switchers, audio boards, signal processers, encoder/decoder, video scalers, playback systems, etc. Studio Technology, video walls, cameras, VR set technology, image processing systems, touch screens, lighting, etc. File-based workflows like enterprise Media Asset Management systems (Cloud-based Cloud Compute or Local Network-based) including storage, compute, encode and distribution. Production control systems such as Imagine Communications or Grass Valley automation systems, Riedel trunking, Lawo, Calrec, Evertz . click apply for full job details

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: 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. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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 . click apply for full job details

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: 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. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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 . click apply for full job details

Distinguished AI Engineer (Agentic AI Platform) 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer 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 . click apply for full job details

Distinguished AI Engineer (Agentic AI Platform) 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer 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 . click apply for full job details

Job DescriptionJob DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Specific responsibilities for the Data Engineer - Cloud position include: Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly Utilizing your skills in engineering best practices to solve complex data problems Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization. Articulating architectural differences between solution methods and the advantages/disadvantages of each Qualifications Typical experience for successful candidates includes: Experience delivering solutions on a major cloud platform Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture Experience in the design and implementation of data architecture solutions A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines Ability to assess and utilize traditional and modern architectural components required based on business needs. A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. Skills: Successful candidates usually have demonstrable experience with technologies in some of these categories: Languages: SQL, Python, Java, R, C# / C++ / C Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle DevOps: git, docker, subversion, Kubernetes, Jenkins Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job DescriptionJob DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Specific responsibilities for the Data Engineer - Cloud position include: Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly Utilizing your skills in engineering best practices to solve complex data problems Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization. Articulating architectural differences between solution methods and the advantages/disadvantages of each Qualifications Typical experience for successful candidates includes: Experience delivering solutions on a major cloud platform Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture Experience in the design and implementation of data architecture solutions A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines Ability to assess and utilize traditional and modern architectural components required based on business needs. A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. Skills: Successful candidates usually have demonstrable experience with technologies in some of these categories: Languages: SQL, Python, Java, R, C# / C++ / C Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle DevOps: git, docker, subversion, Kubernetes, Jenkins Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job DescriptionJob Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role We're seeking a Staff Enterprise AI Automation Engineer to play a key role in executing Crusoe's 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You'll operate at the intersection of AI, enterprise systems, and integration platforms-building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model. What You'll Be Working On Designing and implementing agentic AI workflows using a modular, API-first architecture across platforms such as Workato ONE, Anthropic Claude, and Gemini. Building autonomous agents that orchestrate workflows across enterprise systems (e.g., Salesforce, Coupa, Slack, Google Workspace) Architecting and integrating a unified data layer that enables AI agents to access and act on data across siloed systems Developing integrations, APIs, and custom connectors that enable scalable AI orchestration across business platforms Implementing MCP (Model Context Protocol) connectors and model-agnostic orchestration patterns Designing deployment pipelines and lifecycle management systems for AI agents in production environments Embedding security, data privacy, and compliance guardrails into all AI implementations Creating reusable templates, frameworks, and tooling to support a Citizen Developer Program Mentoring internal teams through code reviews, training, and technical enablement programs Evaluating emerging AI technologies and prototyping next-generation capabilities to advance agentic maturity What You'll Bring to the Team 10+ years of software engineering experience, including 3+ years in AI/ML or AI application development Strong proficiency in Python and API development (REST, GraphQL, webhooks) Hands-on experience with enterprise integration platforms (e.g., Workato, MuleSoft, Zapier) Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini, or similar) Deep understanding of agentic architectures, RAG patterns, and prompt engineering Experience designing scalable, distributed systems in cloud environments (AWS, GCP, or Azure) Strong knowledge of microservices, event-driven architecture, and integration design patterns Experience with CI/CD, infrastructure as code, and DevOps practices Understanding of data security, privacy, and compliance considerations (SOC 2, GDPR) Bonus Points Experience deploying agentic AI systems in production environments Familiarity with iPaaS platforms (Workato preferred) and enterprise automation ecosystems Experience with Google Workspace or Microsoft 365 automation and extensibility Knowledge of Model Context Protocol (MCP) or similar interoperability standards Experience implementing AI governance frameworks in enterprise settings Background in infrastructure, energy, or high-performance computing environments Contributions to open-source AI projects or technical thought leadership Benefits: Competitive compensation Restricted Stock Units Paid time off & paid holidays Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Compensation Range Compensation will be paid in the range of up to $190,000 - $230,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionJob DescriptionThe Role We are seeking a Staff Machine Learning Engineer with deep expertise in agentic AI - and a true passion for experimentation and creation - to design, build, test, evaluate, and productionize next-generation autonomous AI agents for healthcare and clinical research. If you love rapidly prototyping wild ideas, running build-test-learn cycles, iterating on novel agent behaviors, and turning unsolved challenges into working systems, this is the role for you. You will own end-to-end agentic workflows that reason, plan, use tools, orchestrate multi-agent collaboration, and deliver safe, reliable outcomes in highly regulated environments, while collaborating with multidisciplinary teams to influence Medeloop's technological direction. You will also be nested within a team of advisors and collaborators with deep medical and health expertise, including scientists, clinicians, and AI experts, including the former FDA commissioner, former editor of JAMA, and developer of BloombergGPT. The result: You will be an active participant in fostering a data lead public health and healthcare ecosystem. What You'll Own Lead the design and architecture of advanced agentic AI systems, including reasoning loops (ReAct, CoT, ToT), tool-calling, dynamic multi-agent orchestration, RAG pipelines, memory/state management, and emerging protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A). Build and own production-grade agent infrastructure, including prompts, function tools, workflow graphs, MCP/A2A integrations, and adaptive agent lifecycle management (spinning up, specializing, delegating, and decommissioning agents dynamically for complex healthcare workflows). Develop rigorous evaluation and safety frameworks - automated testing, benchmarking, regression testing, adversarial testing, safety guardrails, observability (tracing, logging, metrics), and human-in-the-loop mechanisms to ensure reliable, compliant performance in production. Drive LLM and ML model development - train, fine-tune, and deploy large-scale models on healthcare datasets, working closely with researchers and clinicians to solve real clinical challenges. Shape Medeloop's agentic AI strategy and roadmap in close partnership with the C-suite and cross-functional leadership. Stay at the cutting edge of agentic AI (multi-modal agents, advanced reasoning models, interoperability protocols) and help establish Medeloop as a leader in transparent, compliant healthcare AI. What We're Looking For 7+ years of hands-on experience as a Machine Learning Engineer, with a proven track record building and shipping production agentic AI systems (single- or multi-agent) in industry, ideally in healthcare, life sciences, or other related domains. Experience working on analytic engines (or advanced analytics platforms) - designing, optimizing, or integrating systems that power data-driven insights, queries, or decision-making at scale. Strong theoretical foundation in ML/AI, with emphasis on NLP/LLMs, reinforcement learning, planning/reasoning algorithms. Deep expertise with agentic frameworks and tools: LangChain/LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, Hugging Face, PyTorch, vector databases/semantic search, prompt engineering, and observability platforms (e.g., LangSmith, Phoenix). Experience designing fully automated evaluation and testing pipelines for autonomous agents and their orchestration, including metrics for reliability, safety, factuality, cost/latency, clinical utility, and dynamic behaviors. A builder/experimenter mindset - you thrive on rapid prototyping, testing bold new ideas, iterating quickly on agent designs, and exploring uncharted territory in agentic systems. Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats. Bonus Points Strong record in top AI/ML conferences/journals; experience with healthcare data (EHRs, claims) and regulatory considerations (HIPAA, transparency, reproducibility). Multi-cloud experience (AWS, Azure, GCP) Why Medeloop Ownership from day one: small team, high-trust, no layers between your work and its impact Technically ambitious: you'll build AI-powered workflows, not just support them Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

Job DescriptionJob DescriptionThe Role We are seeking a Staff Machine Learning Engineer with deep expertise in agentic AI - and a true passion for experimentation and creation - to design, build, test, evaluate, and productionize next-generation autonomous AI agents for healthcare and clinical research. If you love rapidly prototyping wild ideas, running build-test-learn cycles, iterating on novel agent behaviors, and turning unsolved challenges into working systems, this is the role for you. You will own end-to-end agentic workflows that reason, plan, use tools, orchestrate multi-agent collaboration, and deliver safe, reliable outcomes in highly regulated environments, while collaborating with multidisciplinary teams to influence Medeloop's technological direction. You will also be nested within a team of advisors and collaborators with deep medical and health expertise, including scientists, clinicians, and AI experts, including the former FDA commissioner, former editor of JAMA, and developer of BloombergGPT. The result: You will be an active participant in fostering a data lead public health and healthcare ecosystem. What You'll Own Lead the design and architecture of advanced agentic AI systems, including reasoning loops (ReAct, CoT, ToT), tool-calling, dynamic multi-agent orchestration, RAG pipelines, memory/state management, and emerging protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A). Build and own production-grade agent infrastructure, including prompts, function tools, workflow graphs, MCP/A2A integrations, and adaptive agent lifecycle management (spinning up, specializing, delegating, and decommissioning agents dynamically for complex healthcare workflows). Develop rigorous evaluation and safety frameworks - automated testing, benchmarking, regression testing, adversarial testing, safety guardrails, observability (tracing, logging, metrics), and human-in-the-loop mechanisms to ensure reliable, compliant performance in production. Drive LLM and ML model development - train, fine-tune, and deploy large-scale models on healthcare datasets, working closely with researchers and clinicians to solve real clinical challenges. Shape Medeloop's agentic AI strategy and roadmap in close partnership with the C-suite and cross-functional leadership. Stay at the cutting edge of agentic AI (multi-modal agents, advanced reasoning models, interoperability protocols) and help establish Medeloop as a leader in transparent, compliant healthcare AI. What We're Looking For 7+ years of hands-on experience as a Machine Learning Engineer, with a proven track record building and shipping production agentic AI systems (single- or multi-agent) in industry, ideally in healthcare, life sciences, or other related domains. Experience working on analytic engines (or advanced analytics platforms) - designing, optimizing, or integrating systems that power data-driven insights, queries, or decision-making at scale. Strong theoretical foundation in ML/AI, with emphasis on NLP/LLMs, reinforcement learning, planning/reasoning algorithms. Deep expertise with agentic frameworks and tools: LangChain/LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, Hugging Face, PyTorch, vector databases/semantic search, prompt engineering, and observability platforms (e.g., LangSmith, Phoenix). Experience designing fully automated evaluation and testing pipelines for autonomous agents and their orchestration, including metrics for reliability, safety, factuality, cost/latency, clinical utility, and dynamic behaviors. A builder/experimenter mindset - you thrive on rapid prototyping, testing bold new ideas, iterating quickly on agent designs, and exploring uncharted territory in agentic systems. Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats. Bonus Points Strong record in top AI/ML conferences/journals; experience with healthcare data (EHRs, claims) and regulatory considerations (HIPAA, transparency, reproducibility). Multi-cloud experience (AWS, Azure, GCP) Why Medeloop Ownership from day one: small team, high-trust, no layers between your work and its impact Technically ambitious: you'll build AI-powered workflows, not just support them Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

Job DescriptionJob DescriptionThe Role We are seeking a Staff Machine Learning Engineer with deep expertise in agentic AI - and a true passion for experimentation and creation - to design, build, test, evaluate, and productionize next-generation autonomous AI agents for healthcare and clinical research. If you love rapidly prototyping wild ideas, running build-test-learn cycles, iterating on novel agent behaviors, and turning unsolved challenges into working systems, this is the role for you. You will own end-to-end agentic workflows that reason, plan, use tools, orchestrate multi-agent collaboration, and deliver safe, reliable outcomes in highly regulated environments, while collaborating with multidisciplinary teams to influence Medeloop's technological direction. You will also be nested within a team of advisors and collaborators with deep medical and health expertise, including scientists, clinicians, and AI experts, including the former FDA commissioner, former editor of JAMA, and developer of BloombergGPT. The result: You will be an active participant in fostering a data lead public health and healthcare ecosystem. What You'll Own Lead the design and architecture of advanced agentic AI systems, including reasoning loops (ReAct, CoT, ToT), tool-calling, dynamic multi-agent orchestration, RAG pipelines, memory/state management, and emerging protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A). Build and own production-grade agent infrastructure, including prompts, function tools, workflow graphs, MCP/A2A integrations, and adaptive agent lifecycle management (spinning up, specializing, delegating, and decommissioning agents dynamically for complex healthcare workflows). Develop rigorous evaluation and safety frameworks - automated testing, benchmarking, regression testing, adversarial testing, safety guardrails, observability (tracing, logging, metrics), and human-in-the-loop mechanisms to ensure reliable, compliant performance in production. Drive LLM and ML model development - train, fine-tune, and deploy large-scale models on healthcare datasets, working closely with researchers and clinicians to solve real clinical challenges. Shape Medeloop's agentic AI strategy and roadmap in close partnership with the C-suite and cross-functional leadership. Stay at the cutting edge of agentic AI (multi-modal agents, advanced reasoning models, interoperability protocols) and help establish Medeloop as a leader in transparent, compliant healthcare AI. What We're Looking For 7+ years of hands-on experience as a Machine Learning Engineer, with a proven track record building and shipping production agentic AI systems (single- or multi-agent) in industry, ideally in healthcare, life sciences, or other related domains. Experience working on analytic engines (or advanced analytics platforms) - designing, optimizing, or integrating systems that power data-driven insights, queries, or decision-making at scale. Strong theoretical foundation in ML/AI, with emphasis on NLP/LLMs, reinforcement learning, planning/reasoning algorithms. Deep expertise with agentic frameworks and tools: LangChain/LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, Hugging Face, PyTorch, vector databases/semantic search, prompt engineering, and observability platforms (e.g., LangSmith, Phoenix). Experience designing fully automated evaluation and testing pipelines for autonomous agents and their orchestration, including metrics for reliability, safety, factuality, cost/latency, clinical utility, and dynamic behaviors. A builder/experimenter mindset - you thrive on rapid prototyping, testing bold new ideas, iterating quickly on agent designs, and exploring uncharted territory in agentic systems. Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats. Bonus Points Strong record in top AI/ML conferences/journals; experience with healthcare data (EHRs, claims) and regulatory considerations (HIPAA, transparency, reproducibility). Multi-cloud experience (AWS, Azure, GCP) Why Medeloop Ownership from day one: small team, high-trust, no layers between your work and its impact Technically ambitious: you'll build AI-powered workflows, not just support them Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build