In this role, you will provide cybersecurity engineering support to classified networks, ensuring the confidentiality, integrity, and availability of systems aligned with U.S. Space Force priorities. You will assist in the design and implementation of security solutions to protect against evolving cyber threats. You will support cybersecurity program activities by providing recommendations in accordance with DAF, DoD, and IC standards. Responsibilities include conducting program reviews, tracking action items, and ensuring compliance with IT security policies. As a cybersecurity subject matter expert, you will ensure solutions are compatible with existing systems and properly coordinated through configuration management processes while supporting program leadership and government stakeholders. Key Responsibilities The Cybersecurity Information Systems Security Engineer, SME will: Provide strategic and technical guidance to project teams supporting mission-critical DoD initiatives Lead research, design, and development efforts to meet program requirements and specifications Oversee technical execution of major initiatives, ensuring alignment with performance, schedule, and budget objectives Monitor and evaluate design considerations, including cost, schedule, and technical impacts Identify and assess risks, providing actionable insights to mitigate impacts to program execution Ensure deliverables meet quality standards and align with operational and warfighting objectives Facilitate collaboration across cross-functional teams and stakeholders to achieve project goals Initiate, refine, and manage project requirements through full lifecycle completion Conduct studies, data analysis, and evaluations to support strategic decision-making Requirements Skills and Experience The Cybersecurity Information Systems Security Engineer, SME must have: Active TS/SCI 15+ years of relevant experience supporting DoD programs Experience in aerospace and/or industry strategy environments Deep knowledge of the Risk Management Framework (RMF) and NIST standards Expertise in cybersecurity policies, programs, and best practices Proven ability to manage projects end-to-end, including scope, resources, timelines, and risk Strong analytical and critical thinking skills, with a proactive approach to problem-solving Ability to work independently while effectively engaging with team members and senior leadership Strong communication skills, with the ability to clearly articulate complex concepts and strategies Recognized as a subject matter expert or leader within the field Education and Certifications Required: Masters degree (MA, MS, or ME) Equivalent work experience may be considered in lieu of education DoD 8170 IASAE Level III (IAM Level III with relevant experience may be considered as a substitute) Benefits Medical, dental, vision, disability, and life insurance Flexible Spending Accounts 401(k) PTO Paid Parental Leave Tuition reimbursement Paid federal holidays
08/24/2026
In this role, you will provide cybersecurity engineering support to classified networks, ensuring the confidentiality, integrity, and availability of systems aligned with U.S. Space Force priorities. You will assist in the design and implementation of security solutions to protect against evolving cyber threats. You will support cybersecurity program activities by providing recommendations in accordance with DAF, DoD, and IC standards. Responsibilities include conducting program reviews, tracking action items, and ensuring compliance with IT security policies. As a cybersecurity subject matter expert, you will ensure solutions are compatible with existing systems and properly coordinated through configuration management processes while supporting program leadership and government stakeholders. Key Responsibilities The Cybersecurity Information Systems Security Engineer, SME will: Provide strategic and technical guidance to project teams supporting mission-critical DoD initiatives Lead research, design, and development efforts to meet program requirements and specifications Oversee technical execution of major initiatives, ensuring alignment with performance, schedule, and budget objectives Monitor and evaluate design considerations, including cost, schedule, and technical impacts Identify and assess risks, providing actionable insights to mitigate impacts to program execution Ensure deliverables meet quality standards and align with operational and warfighting objectives Facilitate collaboration across cross-functional teams and stakeholders to achieve project goals Initiate, refine, and manage project requirements through full lifecycle completion Conduct studies, data analysis, and evaluations to support strategic decision-making Requirements Skills and Experience The Cybersecurity Information Systems Security Engineer, SME must have: Active TS/SCI 15+ years of relevant experience supporting DoD programs Experience in aerospace and/or industry strategy environments Deep knowledge of the Risk Management Framework (RMF) and NIST standards Expertise in cybersecurity policies, programs, and best practices Proven ability to manage projects end-to-end, including scope, resources, timelines, and risk Strong analytical and critical thinking skills, with a proactive approach to problem-solving Ability to work independently while effectively engaging with team members and senior leadership Strong communication skills, with the ability to clearly articulate complex concepts and strategies Recognized as a subject matter expert or leader within the field Education and Certifications Required: Masters degree (MA, MS, or ME) Equivalent work experience may be considered in lieu of education DoD 8170 IASAE Level III (IAM Level III with relevant experience may be considered as a substitute) Benefits Medical, dental, vision, disability, and life insurance Flexible Spending Accounts 401(k) PTO Paid Parental Leave Tuition reimbursement Paid federal holidays
EBMUD Job Title: Senior Information Technology Engineer, IT Security (IT/OT Firewall Administration) Salary Info: $157,488 - $191,424 Annually, Plus Excellent Benefits + Retirement Opens online at on Monday, July 27, 2026 Online applications must be received by 4:30 p.m., Friday, August 14, 2026 The East Bay Municipal Utility District's (EBMUD) Information Systems Department is currently seeking a Senior Information Technology Engineer with deep experience administering firewalls in mission-critical, highly available enterprise environments. The role focuses on securing both internal and perimeter networks, supporting business continuity and strengthening cyber resilience across business networks (IT) and operational technology networks (OT) and the implementation and oversight of cybersecurity policies, standards, and best practices. Applicants must reside within commuting distance of EBMUD's Oakland, CA Administration building. This is a hybrid position which requires office presence in accordance with EBMUD's telecommuting guidelines (minimum 2-day per week physical office presence currently required but is subject to change). Telecommuting policies are subject to change. EBMUD will not provide relocation assistance. We are seeking candidates with advanced IT/OT security experience and skills. Experience is desired in three or more of the following disciplines: At least five years of hands-on experience administering firewalls in enterprise-scale, high-availability production environments, including policy management, troubleshooting, and rule lifecycle maintenance. Experience with enterprise-grade firewalls: e.g. Palo Alto Networks, Cisco, FortiNet, Checkpoint. Expertise in troubleshooting network issues. Solid understanding of TCP/IP protocols. Experience configuring, supporting and managing routing- BGP, OSPF, EIGRP, static. Experience with analyzing firewall logs and packet captures. Experience managing virtual firewalls in AWS, Azure and/or GCP. Understanding of IAAS concepts. Experience implementing and supporting ssl-inspection in a production environment. Experience managing VPN's: IPSEC site to site and end user remote access. Experience working with firewall policies, implementing changes, testing changes, submitting changes through change control processes. Experience with automating firewall rule analysis or change workflows using scripts or APIs is a plus. And the ability to: Create and maintain network diagrams and documentation for new and existing firewall deployments- depicting logical and physical environments. Communicate complex topics to non-technical users. Ability and willingness to share knowledge and information with others. Create documentation detailing implementation steps, tracking changes. Work across teams to investigate and respond to incidents. Lead or participate in IT/OT security projects by creating project plans and technical requirements. Track and report on incident handling and response metrics. Participate in annual tabletop cyber incident response exercises. Establish and maintain positive working relationships; teamwork attitude. Balance project deliverables among day-to-day operational demands. Perform independent research and share knowledge effectively. Maintain calm and focus during emergency operations. Work in a hybrid work environment. The most competitive candidates for the Senior IT Security Engineer position will possess strong working knowledge of firewall administration in a highly available production environment; networking experience; threat intelligence; experience in critical infrastructure-including ICS/OT firewall management; and project management principles and practices and cybersecurity best practices. Your experience will include demonstrated success working in many of the following areas: Experience managing firewall changes including: NAT, routing, VPN, access policies, troubleshooting, deployment, upgrades. Experience reviewing, analyzing and responding to firewall alerts: security and operational. Ability to perform and analyze network captures utilizing wireshark. Experience working within a ticketing system to track requests, changes, approvals Experience participating in Blue/Red team exercises. Log and systems analysis, troubleshooting, documentation techniques and procedures. Change control concepts and procedures supporting a production environment. Knowledge of network based attack methods and defense: DDOS, C2, data exfiltration, brute-force attacks, OWASP, etc. Familiarity with Industrial Control Systems (ICS) and Operational Technology (OT) environments is a plus. Project management. The salary range is $13,124 per month increasing to $13,780, $14,469, $15,192, and $15,952 after 6, 18, 30, and 42 months, respectively. EBMUD is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, religious creed, sex, gender, gender identity, gender expression, marital or registered domestic partnership status, age for individuals over forty years of age, national origin, ancestry, disability (mental or physical, including AIDS and HIV), medical condition (cancer and genetic characteristics), genetic information, sexual orientation, military and veterans status, family or medical leave status, pregnancy, pregnancy disability leave status, or any other status protected by federal, state and/or local laws. Requirements: 1. A bachelor's degree; and 2. Two years of experience in information technology engineering, one year of which was at a level comparable to or higher than the EBMUD class of Information Technology (IT) Engineer II. 3. Willingness to participate in a rotating on-call schedule to support 24/7 network security operations, including incident response and critical issue resolution. 4. Overtime will be required on an as needed basis. Working environment is indoors and may require sitting for prolonged periods of time and repetitive hand motions. Additional years of experience (beyond the minimum requirement) may be substituted for the education on a year for year basis, only if the experience is at the level of the job for which the applicant is applying. (i.e., Four additional years of experience, at the level of the Senior IT Engineer classification, will be considered equivalent to a bachelor's degree). A graduate level degree in a directly related field may be substituted for one year of experience. To be considered under the "equivalent combination of education and experience" provision, it is your responsibility to include in your application materials written evidence of employment performed at the level of the typical duties of this position and/or coursework in subject areas directly related to this position. For more information, see our FAQ page at Submit a completed EBMUD application and the required supplemental questions responses online at by 4:30 p.m., Friday, August 14, 2026. Only application materials submitted online during the filing period will be accepted. EBMUD is an Equal Opportunity Employer: Females/Minorities/Veterans/Disability Job Hotline:
08/24/2026
Full time
EBMUD Job Title: Senior Information Technology Engineer, IT Security (IT/OT Firewall Administration) Salary Info: $157,488 - $191,424 Annually, Plus Excellent Benefits + Retirement Opens online at on Monday, July 27, 2026 Online applications must be received by 4:30 p.m., Friday, August 14, 2026 The East Bay Municipal Utility District's (EBMUD) Information Systems Department is currently seeking a Senior Information Technology Engineer with deep experience administering firewalls in mission-critical, highly available enterprise environments. The role focuses on securing both internal and perimeter networks, supporting business continuity and strengthening cyber resilience across business networks (IT) and operational technology networks (OT) and the implementation and oversight of cybersecurity policies, standards, and best practices. Applicants must reside within commuting distance of EBMUD's Oakland, CA Administration building. This is a hybrid position which requires office presence in accordance with EBMUD's telecommuting guidelines (minimum 2-day per week physical office presence currently required but is subject to change). Telecommuting policies are subject to change. EBMUD will not provide relocation assistance. We are seeking candidates with advanced IT/OT security experience and skills. Experience is desired in three or more of the following disciplines: At least five years of hands-on experience administering firewalls in enterprise-scale, high-availability production environments, including policy management, troubleshooting, and rule lifecycle maintenance. Experience with enterprise-grade firewalls: e.g. Palo Alto Networks, Cisco, FortiNet, Checkpoint. Expertise in troubleshooting network issues. Solid understanding of TCP/IP protocols. Experience configuring, supporting and managing routing- BGP, OSPF, EIGRP, static. Experience with analyzing firewall logs and packet captures. Experience managing virtual firewalls in AWS, Azure and/or GCP. Understanding of IAAS concepts. Experience implementing and supporting ssl-inspection in a production environment. Experience managing VPN's: IPSEC site to site and end user remote access. Experience working with firewall policies, implementing changes, testing changes, submitting changes through change control processes. Experience with automating firewall rule analysis or change workflows using scripts or APIs is a plus. And the ability to: Create and maintain network diagrams and documentation for new and existing firewall deployments- depicting logical and physical environments. Communicate complex topics to non-technical users. Ability and willingness to share knowledge and information with others. Create documentation detailing implementation steps, tracking changes. Work across teams to investigate and respond to incidents. Lead or participate in IT/OT security projects by creating project plans and technical requirements. Track and report on incident handling and response metrics. Participate in annual tabletop cyber incident response exercises. Establish and maintain positive working relationships; teamwork attitude. Balance project deliverables among day-to-day operational demands. Perform independent research and share knowledge effectively. Maintain calm and focus during emergency operations. Work in a hybrid work environment. The most competitive candidates for the Senior IT Security Engineer position will possess strong working knowledge of firewall administration in a highly available production environment; networking experience; threat intelligence; experience in critical infrastructure-including ICS/OT firewall management; and project management principles and practices and cybersecurity best practices. Your experience will include demonstrated success working in many of the following areas: Experience managing firewall changes including: NAT, routing, VPN, access policies, troubleshooting, deployment, upgrades. Experience reviewing, analyzing and responding to firewall alerts: security and operational. Ability to perform and analyze network captures utilizing wireshark. Experience working within a ticketing system to track requests, changes, approvals Experience participating in Blue/Red team exercises. Log and systems analysis, troubleshooting, documentation techniques and procedures. Change control concepts and procedures supporting a production environment. Knowledge of network based attack methods and defense: DDOS, C2, data exfiltration, brute-force attacks, OWASP, etc. Familiarity with Industrial Control Systems (ICS) and Operational Technology (OT) environments is a plus. Project management. The salary range is $13,124 per month increasing to $13,780, $14,469, $15,192, and $15,952 after 6, 18, 30, and 42 months, respectively. EBMUD is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, religious creed, sex, gender, gender identity, gender expression, marital or registered domestic partnership status, age for individuals over forty years of age, national origin, ancestry, disability (mental or physical, including AIDS and HIV), medical condition (cancer and genetic characteristics), genetic information, sexual orientation, military and veterans status, family or medical leave status, pregnancy, pregnancy disability leave status, or any other status protected by federal, state and/or local laws. Requirements: 1. A bachelor's degree; and 2. Two years of experience in information technology engineering, one year of which was at a level comparable to or higher than the EBMUD class of Information Technology (IT) Engineer II. 3. Willingness to participate in a rotating on-call schedule to support 24/7 network security operations, including incident response and critical issue resolution. 4. Overtime will be required on an as needed basis. Working environment is indoors and may require sitting for prolonged periods of time and repetitive hand motions. Additional years of experience (beyond the minimum requirement) may be substituted for the education on a year for year basis, only if the experience is at the level of the job for which the applicant is applying. (i.e., Four additional years of experience, at the level of the Senior IT Engineer classification, will be considered equivalent to a bachelor's degree). A graduate level degree in a directly related field may be substituted for one year of experience. To be considered under the "equivalent combination of education and experience" provision, it is your responsibility to include in your application materials written evidence of employment performed at the level of the typical duties of this position and/or coursework in subject areas directly related to this position. For more information, see our FAQ page at Submit a completed EBMUD application and the required supplemental questions responses online at by 4:30 p.m., Friday, August 14, 2026. Only application materials submitted online during the filing period will be accepted. EBMUD is an Equal Opportunity Employer: Females/Minorities/Veterans/Disability Job Hotline:
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking multiple Software Engineers (Associate/Experienced/Senior) to join the Mission Systems Software team located in Daytona Beach, FL. We are seeking a highly motivated Software Engineer to design and implement new capabilities in the Operational Flight Program (OFP) for both the United States Air Force (USAF) and international customers. The candidate will join one of the multi-discipline Agile scrum teams that develop, integrate, and maintain a wide range of aircraft functionalities. Software capabilities will be developed for the Advanced Display Core Processor II (ADCP II), the brains of the Eagle. The successful candidate will implement and test new cutting-edge capabilities and integrate them with a variety of other aircraft subsystems. At Boeing, our software engineers use their expertise to dream up next generation software capabilities for some amazing aerospace platforms. Boeing encourages its engineers to move up as technical leads as well as gives them opportunities to grow into management. Join us and you will have the unique opportunity to develop real-time embedded software for the most sophisticated military platforms in the world. Across Commercial, Defense and Global Services, our teams are developing software for next generation trainers; tactical fighter aircraft; helicopters; unmanned air vehicles; space, satellite, and weapons systems; state of the art flight simulators; cybersecurity solutions, and much more. We work in a casual but professional environment with multi-disciplined teams of engineers that take pride in developing, integrating, testing and delivering innovative solutions. There is long-term potential for career growth into technical leadership or management positions and we value the curiosity, tenacity and imagination our engineers bring to our teams each day. Position Responsibilities: Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software systems Develops and maintains code and integrates software components into a fully functional software system Develops software verification plans, test procedures and test environments, executing the test procedures and documenting test results to ensure software system requirements are met Executes and documents software research and development projects Serves as a subject matter expert for software domains, system-specific issues, processes and regulations Troubleshoots software issues Works under general direction This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Basic Qualifications (Required Skills/ Experience): Bachelor Degree Active Secret Clearance 2+ years of experience in C, C++, C#, Python, Java, or Ada 2+ years of experience developing, documenting, and maintaining architectures, algorithms, interfaces, and designs for software systems Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Agile/SAFe development experience Experience with DevOps tools, such as GitLab (CI/CD), Git Bash, Gradle, Jira, Jenkins, and Artifactory Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience working with Real-time Operating Systems (RTOS) Travel: less than 10%. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $77,000.00 - $137,000.00 Summary pay range for Experienced: $98,000.00 - $173,000.00 Summary pay range for Senior: $124,000.00 - $220,000.00 Applications for this position will be accepted until Aug. 29, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/23/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking multiple Software Engineers (Associate/Experienced/Senior) to join the Mission Systems Software team located in Daytona Beach, FL. We are seeking a highly motivated Software Engineer to design and implement new capabilities in the Operational Flight Program (OFP) for both the United States Air Force (USAF) and international customers. The candidate will join one of the multi-discipline Agile scrum teams that develop, integrate, and maintain a wide range of aircraft functionalities. Software capabilities will be developed for the Advanced Display Core Processor II (ADCP II), the brains of the Eagle. The successful candidate will implement and test new cutting-edge capabilities and integrate them with a variety of other aircraft subsystems. At Boeing, our software engineers use their expertise to dream up next generation software capabilities for some amazing aerospace platforms. Boeing encourages its engineers to move up as technical leads as well as gives them opportunities to grow into management. Join us and you will have the unique opportunity to develop real-time embedded software for the most sophisticated military platforms in the world. Across Commercial, Defense and Global Services, our teams are developing software for next generation trainers; tactical fighter aircraft; helicopters; unmanned air vehicles; space, satellite, and weapons systems; state of the art flight simulators; cybersecurity solutions, and much more. We work in a casual but professional environment with multi-disciplined teams of engineers that take pride in developing, integrating, testing and delivering innovative solutions. There is long-term potential for career growth into technical leadership or management positions and we value the curiosity, tenacity and imagination our engineers bring to our teams each day. Position Responsibilities: Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software systems Develops and maintains code and integrates software components into a fully functional software system Develops software verification plans, test procedures and test environments, executing the test procedures and documenting test results to ensure software system requirements are met Executes and documents software research and development projects Serves as a subject matter expert for software domains, system-specific issues, processes and regulations Troubleshoots software issues Works under general direction This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Basic Qualifications (Required Skills/ Experience): Bachelor Degree Active Secret Clearance 2+ years of experience in C, C++, C#, Python, Java, or Ada 2+ years of experience developing, documenting, and maintaining architectures, algorithms, interfaces, and designs for software systems Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Agile/SAFe development experience Experience with DevOps tools, such as GitLab (CI/CD), Git Bash, Gradle, Jira, Jenkins, and Artifactory Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience working with Real-time Operating Systems (RTOS) Travel: less than 10%. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $77,000.00 - $137,000.00 Summary pay range for Experienced: $98,000.00 - $173,000.00 Summary pay range for Senior: $124,000.00 - $220,000.00 Applications for this position will be accepted until Aug. 29, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements. What you'll need to succeed as a Senior Data Scientist at XPO:Minimum qualifications:Bachelor's degree or equivalent related work or military experience2 year of experience in data science or applied AI, with a focus on Generative AI, Agentic AI, or LLM-powered applicationsBachelor's degree or equivalent related work or military experienceStrong communication skills with the ability to translate complex AI capabilities into clear business use cases and recommendationsExperience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong communication skills with a knack for translating complex AI concepts into clear business insightsPreferred qualifications:Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative disciplineA Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field3+ year of experience in Data Science, Applied AI, Machine Learning, Generative AI, or a related technical fieldExperience building and deploying enterprise-scale LLM-powered chatbots, copilots, virtual assistants, or AI agentsExperience using Python and relevant AI/ML libraries and frameworks to develop data science or AI solutionsFamiliarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sourcesFamiliarity with Agentic AI concepts, including tool calling, API integration, workflow orchestration, and multi-step AI workflowsUnderstanding of machine learning and AI concepts, including model development, testing, evaluation, and deployment About the Senior Data Scientist job:Pay, Benefits and more: Competitive compensation packageFull health insurance benefits available on day oneLife and disability insuranceEarn up to 15 days of PTO over your first year9 paid company holidays401(k) option with company matchEducation assistanceOpportunity to participate in a company incentive plan What you'll do on a typical day:Build, deploy, and scale GenAI chatbots and AI assistants across the organization to improve how employees access information and complete business tasksDevelop RAG-enabled applications that securely connect LLMs with enterprise documents, databases, and internal knowledge sourcesBuild Agentic AI workflows that use tools, APIs, and enterprise systems to automate multi-step processesImprove conversational AI performance through prompt engineering, retrieval strategies, model evaluation, and response optimizationHelp implement AI guardrails, monitoring, and governance to ensure solutions are accurate, secure, scalable, and reliableIntegrate GenAI solutions with enterprise applications, data platforms, and internal systemsPartner with Engineering, Product, Cybersecurity, and business teams to move solutions from proof of concept through production deploymentResearch emerging GenAI, LLM, RAG, and Agentic AI technologies and identify new opportunities to improve productivity, operational efficiency, and business performance About XPOXPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here.
08/23/2026
Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements. What you'll need to succeed as a Senior Data Scientist at XPO:Minimum qualifications:Bachelor's degree or equivalent related work or military experience2 year of experience in data science or applied AI, with a focus on Generative AI, Agentic AI, or LLM-powered applicationsBachelor's degree or equivalent related work or military experienceStrong communication skills with the ability to translate complex AI capabilities into clear business use cases and recommendationsExperience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong communication skills with a knack for translating complex AI concepts into clear business insightsPreferred qualifications:Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative disciplineA Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field3+ year of experience in Data Science, Applied AI, Machine Learning, Generative AI, or a related technical fieldExperience building and deploying enterprise-scale LLM-powered chatbots, copilots, virtual assistants, or AI agentsExperience using Python and relevant AI/ML libraries and frameworks to develop data science or AI solutionsFamiliarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sourcesFamiliarity with Agentic AI concepts, including tool calling, API integration, workflow orchestration, and multi-step AI workflowsUnderstanding of machine learning and AI concepts, including model development, testing, evaluation, and deployment About the Senior Data Scientist job:Pay, Benefits and more: Competitive compensation packageFull health insurance benefits available on day oneLife and disability insuranceEarn up to 15 days of PTO over your first year9 paid company holidays401(k) option with company matchEducation assistanceOpportunity to participate in a company incentive plan What you'll do on a typical day:Build, deploy, and scale GenAI chatbots and AI assistants across the organization to improve how employees access information and complete business tasksDevelop RAG-enabled applications that securely connect LLMs with enterprise documents, databases, and internal knowledge sourcesBuild Agentic AI workflows that use tools, APIs, and enterprise systems to automate multi-step processesImprove conversational AI performance through prompt engineering, retrieval strategies, model evaluation, and response optimizationHelp implement AI guardrails, monitoring, and governance to ensure solutions are accurate, secure, scalable, and reliableIntegrate GenAI solutions with enterprise applications, data platforms, and internal systemsPartner with Engineering, Product, Cybersecurity, and business teams to move solutions from proof of concept through production deploymentResearch emerging GenAI, LLM, RAG, and Agentic AI technologies and identify new opportunities to improve productivity, operational efficiency, and business performance About XPOXPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here.
Software Engineering Institute | Carnegie Mellon University
Pittsburgh, Pennsylvania
Job Description: Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want you for our team, where you'll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the AI Security Researcher role. Originally created in response to one of the first computer viruses the Morris worm - in 1988, CERT has remained a leader in cybersecurity research, improving the robustness of software systems, and in responding to sophisticated cybersecurity threats. Ensuring the robustness and security of AI systems is the next big challenge on the horizon, and we are seeking life-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security experts focused on advancing the state of the art in AI security at a national and global scale. Our tasks include vulnerability discovery and assessments for AI systems, evaluation of the effectiveness and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers. You'll get a chance to work with elite AI and cybersecurity professionals, university faculty, and government representatives to build new methodologies and technologies that will influence national AI security strategy for decades to come. You will co-author research proposals, execute studies, and present findings and recommendations to our DoW sponsors, decision makers within government and industry, and at academic conferences. The SEI is a non-profit, federally funded research and development center (FFRDC) at Carnegie Mellon University. What you'll do: Develop state of the art approaches for analyzing robustness of AI systems. Apply these approaches to understanding vulnerabilities in AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities. Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats to AI systems and effectively participate in the broader security community. Study and influence the AI security and vulnerability disclosure ecosystems. Evaluate the effectiveness of tools, techniques and processes developed by industry and the AI security research community. Uncover and shape some of the fundamental assumptions underlying current best practice in AI security. Develop thought models, tools and data sets that can be used to characterize the threats to, and vulnerabilities in, AI systems, and publish those results. You will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs. Identify opportunities to apply AI to improve existing cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience. You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your organization. You have practical experience with applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation. You have experience with advising on a range of security topics based on research and expert opinion. You have familiarity with implementing and applying AI/ML techniques to solving practical problems. You have familiarity with common AI/ML software packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART). You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro) You have experience with Python, C/C++, or low-level programming. You have experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies. You have excellent communication skills (oral and written), particularly regarding technical communications with non-experts. You enjoy mentoring and cross-training others and sharing knowledge within the broader community. Candidates with strong technical proficiency in either AI/ML or cybersecurity are welcome to apply, provided a demonstrated intellectual agility and commitment required for accelerated learning within the role. You are able to: Travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%). You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance. Why work here? Join a world-class organization that continues to have a significant impact on software. Work with cutting-edge technologies and dedicated experts to solve tough problems for the government and the nation. Be surrounded by friendly and knowledgeable staff with broad expertise across AI/ML, cybersecurity, software engineering, risk management, and policy creation. Get 8% monthly contribution for your retirement, without having to contribute yourself. Get tuition benefits to CMU and other institutions for you and your dependent children. Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave. Enjoy annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies. Qualify for relocation assistance and so much more.
08/23/2026
Full time
Job Description: Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want you for our team, where you'll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the AI Security Researcher role. Originally created in response to one of the first computer viruses the Morris worm - in 1988, CERT has remained a leader in cybersecurity research, improving the robustness of software systems, and in responding to sophisticated cybersecurity threats. Ensuring the robustness and security of AI systems is the next big challenge on the horizon, and we are seeking life-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security experts focused on advancing the state of the art in AI security at a national and global scale. Our tasks include vulnerability discovery and assessments for AI systems, evaluation of the effectiveness and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers. You'll get a chance to work with elite AI and cybersecurity professionals, university faculty, and government representatives to build new methodologies and technologies that will influence national AI security strategy for decades to come. You will co-author research proposals, execute studies, and present findings and recommendations to our DoW sponsors, decision makers within government and industry, and at academic conferences. The SEI is a non-profit, federally funded research and development center (FFRDC) at Carnegie Mellon University. What you'll do: Develop state of the art approaches for analyzing robustness of AI systems. Apply these approaches to understanding vulnerabilities in AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities. Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats to AI systems and effectively participate in the broader security community. Study and influence the AI security and vulnerability disclosure ecosystems. Evaluate the effectiveness of tools, techniques and processes developed by industry and the AI security research community. Uncover and shape some of the fundamental assumptions underlying current best practice in AI security. Develop thought models, tools and data sets that can be used to characterize the threats to, and vulnerabilities in, AI systems, and publish those results. You will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs. Identify opportunities to apply AI to improve existing cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience. You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your organization. You have practical experience with applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation. You have experience with advising on a range of security topics based on research and expert opinion. You have familiarity with implementing and applying AI/ML techniques to solving practical problems. You have familiarity with common AI/ML software packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART). You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro) You have experience with Python, C/C++, or low-level programming. You have experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies. You have excellent communication skills (oral and written), particularly regarding technical communications with non-experts. You enjoy mentoring and cross-training others and sharing knowledge within the broader community. Candidates with strong technical proficiency in either AI/ML or cybersecurity are welcome to apply, provided a demonstrated intellectual agility and commitment required for accelerated learning within the role. You are able to: Travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%). You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance. Why work here? Join a world-class organization that continues to have a significant impact on software. Work with cutting-edge technologies and dedicated experts to solve tough problems for the government and the nation. Be surrounded by friendly and knowledgeable staff with broad expertise across AI/ML, cybersecurity, software engineering, risk management, and policy creation. Get 8% monthly contribution for your retirement, without having to contribute yourself. Get tuition benefits to CMU and other institutions for you and your dependent children. Enjoy a healthy work/life balance with flexible work arrangements and paid parental and military leave. Enjoy annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies. Qualify for relocation assistance and so much more.
Job Description: We are looking for an experienced Chief Information Officer (CIO) to lead our technology strategy, digital transformation, IT operations, cybersecurity, enterprise systems, and data initiatives. The CIO will partner with senior leadership to leverage technology for business growth, operational efficiency, and an enhanced student/customer experience. Key Responsibilities: Develop and execute the organization's overall IT and digital transformation strategy. Lead IT operations, infrastructure, cloud, enterprise applications, and technology modernization. Oversee ERP, CRM, SIS, LMS, HRIS, and other critical business systems. Drive cybersecurity, data privacy, IT governance, risk management, and business continuity. Lead data, analytics, automation, and AI adoption initiatives. Manage IT budgets, technology investments, vendors, and strategic partnerships. Build, mentor, and lead a high-performing technology team. Partner with executive leadership and business stakeholders to align technology with organizational goals. Identify emerging technologies and opportunities to improve operational efficiency and user experience. Requirements: Bachelor's degree in IT, Computer Science, Engineering, Business, or a related field; Master's preferred. 15+ years of progressive technology experience with 7+ years in senior leadership. Proven experience leading enterprise-wide digital transformation. Strong knowledge of cloud, cybersecurity, enterprise applications, data, and IT governance. Excellent strategic thinking, communication, stakeholder management, and leadership skills. Higher education / EdTech experience is highly preferred.
08/23/2026
Full time
Job Description: We are looking for an experienced Chief Information Officer (CIO) to lead our technology strategy, digital transformation, IT operations, cybersecurity, enterprise systems, and data initiatives. The CIO will partner with senior leadership to leverage technology for business growth, operational efficiency, and an enhanced student/customer experience. Key Responsibilities: Develop and execute the organization's overall IT and digital transformation strategy. Lead IT operations, infrastructure, cloud, enterprise applications, and technology modernization. Oversee ERP, CRM, SIS, LMS, HRIS, and other critical business systems. Drive cybersecurity, data privacy, IT governance, risk management, and business continuity. Lead data, analytics, automation, and AI adoption initiatives. Manage IT budgets, technology investments, vendors, and strategic partnerships. Build, mentor, and lead a high-performing technology team. Partner with executive leadership and business stakeholders to align technology with organizational goals. Identify emerging technologies and opportunities to improve operational efficiency and user experience. Requirements: Bachelor's degree in IT, Computer Science, Engineering, Business, or a related field; Master's preferred. 15+ years of progressive technology experience with 7+ years in senior leadership. Proven experience leading enterprise-wide digital transformation. Strong knowledge of cloud, cybersecurity, enterprise applications, data, and IT governance. Excellent strategic thinking, communication, stakeholder management, and leadership skills. Higher education / EdTech experience is highly preferred.
Michigan Farm Bureau (MFB), Michigan's largest general farm organization, is seeking an Identity & Access Management Engineer to strengthen security across our Insurance IT & Cybersecurity environment. This role designs, implements, and supports IAM solutions, including SSO, MFA, and role-based access controls, to protect member and organizational data. You will collaborate with technical and business teams to develop policies, streamline provisioning, and improve governance. Join our community-focused culture that values teamwork, supports agriculture, and offers opportunities to contribute to broader policy and security initiatives. Responsibilities Design, implement, and manage IAM solutions to secure access to enterprise applications and data Administer SSO, MFA, and directory services to ensure secure and seamless user access Develop and maintain IAM policies, standards, and procedures aligned with MFB security requirements Collaborate with IT, cybersecurity, and business teams to define roles and access controls Monitor, troubleshoot, and resolve IAM-related incidents and access issues Support audits by maintaining accurate access records and evidence of controls Continuously improve IAM processes, automation, and governance capabilities Contribute security expertise to projects, system integrations, and new technology evaluations Required Skills Identity and Access Management (IAM) Single Sign-On (SSO) technologies Multi-Factor Authentication (MFA) Azure AD / Entra ID administration Privilege access management (PAM) Sail Point / Identity Governance and Administration (IGA) Role-based access control (RBAC) design Security policies and standards development Scripting (Power Shell, Python or similar) Security incident response and troubleshooting
08/23/2026
Full time
Michigan Farm Bureau (MFB), Michigan's largest general farm organization, is seeking an Identity & Access Management Engineer to strengthen security across our Insurance IT & Cybersecurity environment. This role designs, implements, and supports IAM solutions, including SSO, MFA, and role-based access controls, to protect member and organizational data. You will collaborate with technical and business teams to develop policies, streamline provisioning, and improve governance. Join our community-focused culture that values teamwork, supports agriculture, and offers opportunities to contribute to broader policy and security initiatives. Responsibilities Design, implement, and manage IAM solutions to secure access to enterprise applications and data Administer SSO, MFA, and directory services to ensure secure and seamless user access Develop and maintain IAM policies, standards, and procedures aligned with MFB security requirements Collaborate with IT, cybersecurity, and business teams to define roles and access controls Monitor, troubleshoot, and resolve IAM-related incidents and access issues Support audits by maintaining accurate access records and evidence of controls Continuously improve IAM processes, automation, and governance capabilities Contribute security expertise to projects, system integrations, and new technology evaluations Required Skills Identity and Access Management (IAM) Single Sign-On (SSO) technologies Multi-Factor Authentication (MFA) Azure AD / Entra ID administration Privilege access management (PAM) Sail Point / Identity Governance and Administration (IGA) Role-based access control (RBAC) design Security policies and standards development Scripting (Power Shell, Python or similar) Security incident response and troubleshooting
Charter Dura-Bar seeks a Digital Process Automation Engineer to lead design, implementation, and optimization of digital manufacturing solutions within our Engineering & Design team. You will map processes, integrate PLCs, HMIs, MES, and data systems, and drive Industry 4.0 initiatives to improve safety, quality, and throughput in continuous cast iron bar production. Partnering with operations, quality, and IT, you will deliver data-driven automation projects, troubleshoot complex issues, and support continuous improvement in a collaborative, safety-focused, family-owned culture with strong career growth opportunities. Responsibilities Design, implement, and optimize digital process automation solutions in a manufacturing environment Integrate PLCs, HMIs, MES, and data collection systems to improve safety, quality, and throughput Analyze current workflows, map processes, and identify automation and digitization opportunities Develop, test, and deploy control logic, dashboards, and reports to support operations and engineering Collaborate with cross-functional teams to define requirements and deliver reliable automation projects Support troubleshooting, root-cause analysis, and continuous improvement of automated systems Ensure compliance with safety, cybersecurity, and company engineering standards Required Skills Digital process automation PLC programming SCADA/HMI configuration Manufacturing execution systems (MES) Industrial networking (Ethernet/IP, Profinet, Modbus) Python or C#/VB scripting SQL databases and data historians Process mapping and lean methods Control systems integration Industrial Io T/Industry 4.0
08/23/2026
Full time
Charter Dura-Bar seeks a Digital Process Automation Engineer to lead design, implementation, and optimization of digital manufacturing solutions within our Engineering & Design team. You will map processes, integrate PLCs, HMIs, MES, and data systems, and drive Industry 4.0 initiatives to improve safety, quality, and throughput in continuous cast iron bar production. Partnering with operations, quality, and IT, you will deliver data-driven automation projects, troubleshoot complex issues, and support continuous improvement in a collaborative, safety-focused, family-owned culture with strong career growth opportunities. Responsibilities Design, implement, and optimize digital process automation solutions in a manufacturing environment Integrate PLCs, HMIs, MES, and data collection systems to improve safety, quality, and throughput Analyze current workflows, map processes, and identify automation and digitization opportunities Develop, test, and deploy control logic, dashboards, and reports to support operations and engineering Collaborate with cross-functional teams to define requirements and deliver reliable automation projects Support troubleshooting, root-cause analysis, and continuous improvement of automated systems Ensure compliance with safety, cybersecurity, and company engineering standards Required Skills Digital process automation PLC programming SCADA/HMI configuration Manufacturing execution systems (MES) Industrial networking (Ethernet/IP, Profinet, Modbus) Python or C#/VB scripting SQL databases and data historians Process mapping and lean methods Control systems integration Industrial Io T/Industry 4.0
Charter Dura-Bar seeks a Digital Process Automation Engineer to drive smart manufacturing in our Automation & Controls team. You will design, program, and integrate PLC/SCADA, MES, and data systems to optimize continuous cast iron bar production. Responsibilities include automating processes, improving OEE, supporting commissioning and troubleshooting, and implementing Industry 4.0/IIoT solutions. You'll collaborate closely with operations and maintenance to deliver safe, reliable, and data-driven manufacturing, while contributing to continuous improvement and long-term innovation in a stable, family-owned company. Responsibilities Design, program, and implement digital process automation solutions for manufacturing operations Integrate PLCs, HMIs, SCADA, MES, and plant floor systems to improve throughput and quality Analyze production data to optimize processes, reduce downtime, and enhance OEECollaborate with operations, maintenance, and engineering on automation projects and upgrades Develop standards, documentation, and change control for automation systems Ensure safety, cybersecurity, and reliability of automation and control architectures Provide hands-on troubleshooting and support for controls and automation issues Lead or support continuous improvement and Industry 4.0/IIo T initiatives Work with vendors and integrators to specify, commission, and validate new equipment Train plant personnel on new systems, tools, and automation best practices Required Skills Digital process automation design PLC programming (Allen-Bradley/Siemens) SCADA/HMI development Industrial networking (Ether Net/IP, Profinet) Manufacturing execution systems (MES) SQL/industrial data historian Process control and instrumentation Python/C#/VB for automation Root cause analysis & troubleshooting Project management in manufacturing
08/23/2026
Full time
Charter Dura-Bar seeks a Digital Process Automation Engineer to drive smart manufacturing in our Automation & Controls team. You will design, program, and integrate PLC/SCADA, MES, and data systems to optimize continuous cast iron bar production. Responsibilities include automating processes, improving OEE, supporting commissioning and troubleshooting, and implementing Industry 4.0/IIoT solutions. You'll collaborate closely with operations and maintenance to deliver safe, reliable, and data-driven manufacturing, while contributing to continuous improvement and long-term innovation in a stable, family-owned company. Responsibilities Design, program, and implement digital process automation solutions for manufacturing operations Integrate PLCs, HMIs, SCADA, MES, and plant floor systems to improve throughput and quality Analyze production data to optimize processes, reduce downtime, and enhance OEECollaborate with operations, maintenance, and engineering on automation projects and upgrades Develop standards, documentation, and change control for automation systems Ensure safety, cybersecurity, and reliability of automation and control architectures Provide hands-on troubleshooting and support for controls and automation issues Lead or support continuous improvement and Industry 4.0/IIo T initiatives Work with vendors and integrators to specify, commission, and validate new equipment Train plant personnel on new systems, tools, and automation best practices Required Skills Digital process automation design PLC programming (Allen-Bradley/Siemens) SCADA/HMI development Industrial networking (Ether Net/IP, Profinet) Manufacturing execution systems (MES) SQL/industrial data historian Process control and instrumentation Python/C#/VB for automation Root cause analysis & troubleshooting Project management in manufacturing
Charter Dura-Bar, a leader in continuous cast iron bar products, is seeking a Digital Process Automation Engineer to join our Automation & Controls team. In this role, you will design, implement, and optimize digital automation solutions that improve safety, quality, and efficiency in a modern manufacturing environment. You will work cross-functionally to integrate PLCs, HMIs, SCADA, MES, and plant-floor data systems, driving Industry 4.0 initiatives and continuous improvement. This position offers hands-on problem-solving, exposure to diverse industrial customers, and long-term career growth within a collaborative, family-owned culture that values integrity, innovation, and technical excellence. Responsibilities Design, implement, and support digital process automation solutions in a continuous cast iron manufacturing environment. Develop, program, and troubleshoot PLC, HMI, and SCADA systems for Automation & Controls projects. Integrate shop-floor equipment with MES, ERP, and data collection systems to improve visibility and performance. Analyze process data to identify improvement opportunities in safety, quality, throughput, and cost. Collaborate with operations, maintenance, and IT teams to define requirements and deliver robust automation solutions. Maintain documentation, standards, and best practices for control systems and digital automation. Lead and support continuous improvement and Industry 4.0 initiatives across the facility. Ensure compliance with safety, quality, and cybersecurity standards in all automation solutions. Required Skills Digital process automation design PLC programming (Allen-Bradley/Siemens) SCADA/HMI development Industrial networking (Ethernet/IP, Profinet) Manufacturing execution systems (MES) Data integration/IIo TProcess mapping and optimization SQL databases and data reporting Instrumenting and controls troubleshooting Project management in manufacturing
08/23/2026
Full time
Charter Dura-Bar, a leader in continuous cast iron bar products, is seeking a Digital Process Automation Engineer to join our Automation & Controls team. In this role, you will design, implement, and optimize digital automation solutions that improve safety, quality, and efficiency in a modern manufacturing environment. You will work cross-functionally to integrate PLCs, HMIs, SCADA, MES, and plant-floor data systems, driving Industry 4.0 initiatives and continuous improvement. This position offers hands-on problem-solving, exposure to diverse industrial customers, and long-term career growth within a collaborative, family-owned culture that values integrity, innovation, and technical excellence. Responsibilities Design, implement, and support digital process automation solutions in a continuous cast iron manufacturing environment. Develop, program, and troubleshoot PLC, HMI, and SCADA systems for Automation & Controls projects. Integrate shop-floor equipment with MES, ERP, and data collection systems to improve visibility and performance. Analyze process data to identify improvement opportunities in safety, quality, throughput, and cost. Collaborate with operations, maintenance, and IT teams to define requirements and deliver robust automation solutions. Maintain documentation, standards, and best practices for control systems and digital automation. Lead and support continuous improvement and Industry 4.0 initiatives across the facility. Ensure compliance with safety, quality, and cybersecurity standards in all automation solutions. Required Skills Digital process automation design PLC programming (Allen-Bradley/Siemens) SCADA/HMI development Industrial networking (Ethernet/IP, Profinet) Manufacturing execution systems (MES) Data integration/IIo TProcess mapping and optimization SQL databases and data reporting Instrumenting and controls troubleshooting Project management in manufacturing
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI polygraph. Vantor is seeking a Software Engineer to join our team. In this position you will design, develop, integrate, and maintain software applications and services that support Object-Based Intelligence (OBI) mission requirements, enterprise ontologies, and knowledge graph capabilities. The Software Engineer serves as a key contributor to the design, development, and sustainment of mission-critical software solutions that enable semantic data integration, knowledge management, and advanced analytics. This position develops scalable applications, APIs, and microservices that integrate ontology-driven data models, knowledge graphs, and enterprise data sources to support Object-Based Intelligence workflows. Working within an Agile DevSecOps environment, the Software Engineer collaborates with ontology engineers, database engineers, data scientists, and Government stakeholders to deliver secure, high-performance applications that leverage Semantic Web technologies and AI/ML capabilities. Responsibilities: Design, develop, test, deploy, and maintain software applications and microservices supporting Object-Based Intelligence mission requirements. Develop APIs and backend services that integrate with enterprise ontologies, knowledge graphs, semantic databases, and object-management systems. Implement software solutions that leverage Semantic Web technologies, including RDF, OWL, SPARQL, and graph-based data models, to enable advanced search, reasoning, and data interoperability. Collaborate with ontology engineers, database engineers, data scientists, analysts, and Government stakeholders to translate mission requirements into scalable software solutions. Design and develop secure, containerized applications using modern software engineering practices and cloud-native technologies. Integrate heterogeneous data sources through RESTful APIs, messaging services, and data integration frameworks to support enterprise knowledge management. Develop automated unit, integration, and system tests while supporting continuous integration and continuous deployment (CI/CD) pipelines. Optimize application performance, scalability, and reliability to support high-volume mission operations and advanced analytics. Participate in Agile development activities, including sprint planning, code reviews, technical design sessions, and backlog refinement. Produce and maintain software design documentation, interface specifications, API documentation, and technical implementation guides. Support AI/ML initiatives by developing software services that enable access to semantic data, knowledge graphs, and contextual reasoning capabilities. Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members on software engineering best practices. Minimum Qualifications: Must be a U.S. citizen and have an active TS/SCI with CI polygraph. 12 years of experience and an advanced degree or 17 years of experience with a bachelor's degree. Demonstrated experience designing, developing, and maintaining enterprise software applications using modern programming languages such as Java, Python, or C#. Experience developing RESTful APIs, microservices, and distributed applications. Experience integrating applications with relational databases, graph databases, or semantic data platforms. Experience with containerization technologies such as Docker and Kubernetes/OpenShift. Familiarity with Agile software development methodologies, DevSecOps practices, and CI/CD pipelines. Experience with version control systems such as Git. Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders. Preferred Qualifications: Experience supporting Object-Based Intelligence, Intelligence Community, or Department of Defense mission systems. Experience developing applications that leverage Semantic Web technologies, including RDF, OWL, SPARQL, knowledge graphs, or graph databases. Experience integrating AI/ML services, large language models (LLMs), or advanced analytics capabilities into enterprise applications. Experience with cloud-native application development using AWS, Azure, or Red Hat OpenShift. Experience implementing secure software development practices in accordance with Government cybersecurity requirements. Experience with event-driven architectures, message brokers, and enterprise integration frameworks. AWS Certified Developer, Microsoft Certified: Azure Developer Associate, Red Hat Certified Specialist, Security+, or equivalent software engineering certification. Experience providing technical leadership, mentoring, and formal knowledge transfer to Government personnel or large multidisciplinary teams. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within the Washington, DC metropolitan area is: $165,000.00 - $220,000.00 - $242,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
08/23/2026
Full time
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI polygraph. Vantor is seeking a Software Engineer to join our team. In this position you will design, develop, integrate, and maintain software applications and services that support Object-Based Intelligence (OBI) mission requirements, enterprise ontologies, and knowledge graph capabilities. The Software Engineer serves as a key contributor to the design, development, and sustainment of mission-critical software solutions that enable semantic data integration, knowledge management, and advanced analytics. This position develops scalable applications, APIs, and microservices that integrate ontology-driven data models, knowledge graphs, and enterprise data sources to support Object-Based Intelligence workflows. Working within an Agile DevSecOps environment, the Software Engineer collaborates with ontology engineers, database engineers, data scientists, and Government stakeholders to deliver secure, high-performance applications that leverage Semantic Web technologies and AI/ML capabilities. Responsibilities: Design, develop, test, deploy, and maintain software applications and microservices supporting Object-Based Intelligence mission requirements. Develop APIs and backend services that integrate with enterprise ontologies, knowledge graphs, semantic databases, and object-management systems. Implement software solutions that leverage Semantic Web technologies, including RDF, OWL, SPARQL, and graph-based data models, to enable advanced search, reasoning, and data interoperability. Collaborate with ontology engineers, database engineers, data scientists, analysts, and Government stakeholders to translate mission requirements into scalable software solutions. Design and develop secure, containerized applications using modern software engineering practices and cloud-native technologies. Integrate heterogeneous data sources through RESTful APIs, messaging services, and data integration frameworks to support enterprise knowledge management. Develop automated unit, integration, and system tests while supporting continuous integration and continuous deployment (CI/CD) pipelines. Optimize application performance, scalability, and reliability to support high-volume mission operations and advanced analytics. Participate in Agile development activities, including sprint planning, code reviews, technical design sessions, and backlog refinement. Produce and maintain software design documentation, interface specifications, API documentation, and technical implementation guides. Support AI/ML initiatives by developing software services that enable access to semantic data, knowledge graphs, and contextual reasoning capabilities. Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members on software engineering best practices. Minimum Qualifications: Must be a U.S. citizen and have an active TS/SCI with CI polygraph. 12 years of experience and an advanced degree or 17 years of experience with a bachelor's degree. Demonstrated experience designing, developing, and maintaining enterprise software applications using modern programming languages such as Java, Python, or C#. Experience developing RESTful APIs, microservices, and distributed applications. Experience integrating applications with relational databases, graph databases, or semantic data platforms. Experience with containerization technologies such as Docker and Kubernetes/OpenShift. Familiarity with Agile software development methodologies, DevSecOps practices, and CI/CD pipelines. Experience with version control systems such as Git. Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders. Preferred Qualifications: Experience supporting Object-Based Intelligence, Intelligence Community, or Department of Defense mission systems. Experience developing applications that leverage Semantic Web technologies, including RDF, OWL, SPARQL, knowledge graphs, or graph databases. Experience integrating AI/ML services, large language models (LLMs), or advanced analytics capabilities into enterprise applications. Experience with cloud-native application development using AWS, Azure, or Red Hat OpenShift. Experience implementing secure software development practices in accordance with Government cybersecurity requirements. Experience with event-driven architectures, message brokers, and enterprise integration frameworks. AWS Certified Developer, Microsoft Certified: Azure Developer Associate, Red Hat Certified Specialist, Security+, or equivalent software engineering certification. Experience providing technical leadership, mentoring, and formal knowledge transfer to Government personnel or large multidisciplinary teams. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within the Washington, DC metropolitan area is: $165,000.00 - $220,000.00 - $242,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government security clearance at the TS/SCI level. We are seeking a Senior PostgreSQL Engineer to support the architecture, optimization, and operational support of PostgreSQL databases supporting a large-scale U.S. Government big data analytics platform. This role ensures high availability, performance, scalability, and security of mission-critical database environments while collaborating with software engineers, data engineers, DevSecOps teams, and system administrators to deliver reliable data services in a secure, cloud-enabled environment. Principal Responsibilities: Design, deploy, administer, and maintain PostgreSQL database environments supporting mission-critical applications. Optimize database performance through query tuning, indexing strategies, partitioning, and capacity planning. Implement and maintain high availability, replication, backup, disaster recovery, and database monitoring solutions. Develop and maintain database automation using scripting and Infrastructure as Code tools. Collaborate with application, data engineering, and DevSecOps teams to ensure database deployments support operational tools Minimum Qualifications: US citizenship and an active TS/SCI clearance is mandatory for this position and required for consideration. Must be willing to obtain a CI Poly. 14+ years of relevant professional technical experience, including database, infrastructure, systems, software, data engineering, or related disciplines. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent experience). Minimum of 6 years of experience administering and engineering PostgreSQL database environments. Strong experience across PostgreSQL performance tuning, backup and recovery, replication, and high-availability architectures. Experience supporting Linux-based production environments and automating database administration using scripting languages such as Bash, Python, or comparable scripting and automation technologies. Experience supporting PostgreSQL in cloud, hybrid, containerized, or comparable enterprise production environments. Preferred Qualifications: Experience supporting large-scale big data analytics, data lake, or enterprise data platform environments. Experience implementing database security best practices, access controls, encryption, and auditing. Experience with PostgreSQL extensions such as PostGIS, TimescaleDB, or pg_partman. Experience with DevSecOps practices, CI/CD pipelines, Kubernetes, Docker, Ansible, Terraform, or similar automation technologies. Familiarity supporting systems operating under NIST RMF, FedRAMP, DoD STIGs, or other federal cybersecurity compliance frameworks. PostgreSQL, cloud platform, Linux, or database administration certifications are highly desirable. Familiarity with Esri Enterprise and Postgres usage for SDE. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within the Washington, DC metropolitan area is: $120,000.00 - $160,000.00 - $176,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
08/23/2026
Full time
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government security clearance at the TS/SCI level. We are seeking a Senior PostgreSQL Engineer to support the architecture, optimization, and operational support of PostgreSQL databases supporting a large-scale U.S. Government big data analytics platform. This role ensures high availability, performance, scalability, and security of mission-critical database environments while collaborating with software engineers, data engineers, DevSecOps teams, and system administrators to deliver reliable data services in a secure, cloud-enabled environment. Principal Responsibilities: Design, deploy, administer, and maintain PostgreSQL database environments supporting mission-critical applications. Optimize database performance through query tuning, indexing strategies, partitioning, and capacity planning. Implement and maintain high availability, replication, backup, disaster recovery, and database monitoring solutions. Develop and maintain database automation using scripting and Infrastructure as Code tools. Collaborate with application, data engineering, and DevSecOps teams to ensure database deployments support operational tools Minimum Qualifications: US citizenship and an active TS/SCI clearance is mandatory for this position and required for consideration. Must be willing to obtain a CI Poly. 14+ years of relevant professional technical experience, including database, infrastructure, systems, software, data engineering, or related disciplines. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent experience). Minimum of 6 years of experience administering and engineering PostgreSQL database environments. Strong experience across PostgreSQL performance tuning, backup and recovery, replication, and high-availability architectures. Experience supporting Linux-based production environments and automating database administration using scripting languages such as Bash, Python, or comparable scripting and automation technologies. Experience supporting PostgreSQL in cloud, hybrid, containerized, or comparable enterprise production environments. Preferred Qualifications: Experience supporting large-scale big data analytics, data lake, or enterprise data platform environments. Experience implementing database security best practices, access controls, encryption, and auditing. Experience with PostgreSQL extensions such as PostGIS, TimescaleDB, or pg_partman. Experience with DevSecOps practices, CI/CD pipelines, Kubernetes, Docker, Ansible, Terraform, or similar automation technologies. Familiarity supporting systems operating under NIST RMF, FedRAMP, DoD STIGs, or other federal cybersecurity compliance frameworks. PostgreSQL, cloud platform, Linux, or database administration certifications are highly desirable. Familiarity with Esri Enterprise and Postgres usage for SDE. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within the Washington, DC metropolitan area is: $120,000.00 - $160,000.00 - $176,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
Job Description Overview Our client is seeking a Senior Infrastructure Engineer to support a large enterprise environment consisting of Microsoft technologies, virtualization platforms, networking infrastructure, cybersecurity tools, backup solutions, and collaboration platforms. This organization manages a large, complex public-sector environment supporting multiple locations, business units, and end users. The role is responsible for maintaining highly available infrastructure, strengthening security posture, supporting enterprise operations, and driving automation and continuous improvement initiatives. Important: Candidates must meet all minimum qualifications outlined below. A qualification verification form is required for every submission, and candidates who do not meet the minimum requirements cannot be considered. Required QualificationsExperience 4+ years Systems and Network administration experience Education Bachelor's degree in Computer Science, Information Systems, or a related field OR Four (4) additional years of qualifying experience beyond the minimum experience requirement in lieu of a degree Technical RequirementsMicrosoft Infrastructure Windows Server Administration Active Directory Microsoft Entra ID Microsoft 365 / Office 365 SharePoint Administration and Support Networking Core Protocols DNS DHCP SMTP HTTP/HTTPS SFTP Networking Hardware Cisco Meraki VPN Appliances Security CrowdStrike or similar enterprise endpoint security platform Network Security VPNs ACLs IPSec SSL Cybersecurity and Privacy Best Practices Nessus Splunk Collaboration Platforms Microsoft Teams Administration Zoom Administration SharePoint Support Website/Intranet Support Automation PowerShell Scripting Process Automation Administrative Script Development Virtualization & Cloud VMware Hyper-V Cloud Architecture Experience Backup & Recovery Rubrik Backup and Recovery Key Responsibilities Administer and support Windows Server, Active Directory, Entra ID, Microsoft 365, Teams, and SharePoint environments Support enterprise infrastructure across physical, virtual, and cloud-connected systems Manage VMware and Hyper-V environments Configure and support Cisco Meraki firewalls, switches, wireless infrastructure, and VPN connectivity Troubleshoot DNS, DHCP, routing, switching, and network connectivity issues Monitor infrastructure performance, availability, and security Administer security tools including CrowdStrike, Nessus, and Splunk Support vulnerability management and remediation efforts Manage enterprise backup and recovery operations using Rubrik Develop PowerShell scripts and automation solutions Perform root cause analysis and recommend long-term infrastructure improvements Create SOPs, technical documentation, and knowledge articles Provide Tier III support for escalated infrastructure, networking, and security issues Experience Level Expert Level Job Type & Location This is a Contract position based out of Monterey Park, CA. Pay and Benefits The pay range for this position is $80.00 - $95.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Monterey Park,CA. Application Deadline This position is anticipated to close on Aug 26, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
08/23/2026
Full time
Job Description Overview Our client is seeking a Senior Infrastructure Engineer to support a large enterprise environment consisting of Microsoft technologies, virtualization platforms, networking infrastructure, cybersecurity tools, backup solutions, and collaboration platforms. This organization manages a large, complex public-sector environment supporting multiple locations, business units, and end users. The role is responsible for maintaining highly available infrastructure, strengthening security posture, supporting enterprise operations, and driving automation and continuous improvement initiatives. Important: Candidates must meet all minimum qualifications outlined below. A qualification verification form is required for every submission, and candidates who do not meet the minimum requirements cannot be considered. Required QualificationsExperience 4+ years Systems and Network administration experience Education Bachelor's degree in Computer Science, Information Systems, or a related field OR Four (4) additional years of qualifying experience beyond the minimum experience requirement in lieu of a degree Technical RequirementsMicrosoft Infrastructure Windows Server Administration Active Directory Microsoft Entra ID Microsoft 365 / Office 365 SharePoint Administration and Support Networking Core Protocols DNS DHCP SMTP HTTP/HTTPS SFTP Networking Hardware Cisco Meraki VPN Appliances Security CrowdStrike or similar enterprise endpoint security platform Network Security VPNs ACLs IPSec SSL Cybersecurity and Privacy Best Practices Nessus Splunk Collaboration Platforms Microsoft Teams Administration Zoom Administration SharePoint Support Website/Intranet Support Automation PowerShell Scripting Process Automation Administrative Script Development Virtualization & Cloud VMware Hyper-V Cloud Architecture Experience Backup & Recovery Rubrik Backup and Recovery Key Responsibilities Administer and support Windows Server, Active Directory, Entra ID, Microsoft 365, Teams, and SharePoint environments Support enterprise infrastructure across physical, virtual, and cloud-connected systems Manage VMware and Hyper-V environments Configure and support Cisco Meraki firewalls, switches, wireless infrastructure, and VPN connectivity Troubleshoot DNS, DHCP, routing, switching, and network connectivity issues Monitor infrastructure performance, availability, and security Administer security tools including CrowdStrike, Nessus, and Splunk Support vulnerability management and remediation efforts Manage enterprise backup and recovery operations using Rubrik Develop PowerShell scripts and automation solutions Perform root cause analysis and recommend long-term infrastructure improvements Create SOPs, technical documentation, and knowledge articles Provide Tier III support for escalated infrastructure, networking, and security issues Experience Level Expert Level Job Type & Location This is a Contract position based out of Monterey Park, CA. Pay and Benefits The pay range for this position is $80.00 - $95.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Monterey Park,CA. Application Deadline This position is anticipated to close on Aug 26, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
Job Description Top Skills: Enterprise AI Architecture (Model gateways, Model routing, Shared AI services, Platform engineering, AI service abstraction layers, Multi-model strategies, Vendor portability, AI observability, Platform scalability, Tenant isolation, AI FinOps and cost controls) RAG and Knowledge Architecture Generative AI & Agentic AI Architecture Must have previous experience as an Architect implementing A.I into an Enterprise Environment Must have experience with Enterprise AI Platforms Enterprise Standards and Patterns Enterprise AI Strategy Target-State Architecture Architecture Governance Executive Influence Description The AI Enterprise Architect is responsible for defining, evolving, and driving the enterprise architecture for artificial intelligence across the environment. This is not a theoretical, advisory-only, or documentation-focused architecture role. The AI Enterprise Architect must be a hands-on technology leader who can move rapidly from an ambiguous business problem to an executable architecture, working reference implementation, production deployment, and measurable business outcome. The role operates at the intersection of enterprise architecture, AI engineering, data, security, cloud platforms, integration, product delivery, and business strategy. This individual will establish the enterprise direction for generative AI, agentic AI, machine learning, intelligent automation, AI-enabled applications, and shared AI platform capabilities. The AI Enterprise Architect will work within a Fortune 500 environment while supporting an AI program that operates with the urgency, experimentation, adaptability, and delivery expectations of a startup. The successful candidate must be comfortable making architecture decisions in a rapidly evolving technology landscape, challenging conventional approaches, eliminating unnecessary complexity, and personally driving initiatives through organizational and technical barriers. This individual must be capable of seeing the entire enterprise AI ecosystem while remaining close enough to implementation to validate architectures, examine code and configurations, build prototypes, identify delivery risks, and distinguish production-ready capabilities from demonstrations and vendor claims. Key Responsibilities Enterprise AI Strategy and Target Architecture • Define and maintain the enterprise AI target architecture, transition architectures, capability model, platform strategy, and multiyear architecture roadmap. • Translate business strategy and operating priorities into executable AI capabilities, architecture investments, and delivery sequences. • Establish the architectural direction for generative AI, agentic AI, machine learning, intelligent automation, AI-assisted decision-making, and AI-enabled business processes. • Define clear boundaries and relationships between enterprise AI platforms, domain solutions, shared services, data platforms, enterprise applications, and external AI providers. • Ensure that project-level AI decisions support enterprise scalability, interoperability, security, reuse, and long-term maintainability. • Identify opportunities to consolidate overlapping technologies, eliminate duplicated capabilities, and prevent uncontrolled AI platform and vendor sprawl. • Develop architecture options and recommendations that explicitly address business value, delivery speed, cost, risk, technical debt, vendor dependency, and operational complexity. • Maintain a current enterprise view of AI capabilities, platforms, models, agents, integrations, data dependencies, vendors, risks, and strategic initiatives. Hands-On AI Architecture and Delivery • Lead AI initiatives from problem definition and architecture through implementation, production deployment, adoption, and measurable outcomes. • Develop working prototypes and reference implementations to validate architecture decisions, platform capabilities, integration approaches, security controls, and delivery feasibility. • Review source code, prompts, agent definitions, tool configurations, retrieval pipelines, model configurations, APIs, infrastructure, and deployment pipelines as needed to validate solution quality. • Work directly with engineering teams to resolve architecture and implementation issues rather than limiting involvement to reviews or recommendations. • Rapidly diagnose delivery blockers, simplify overengineered approaches, reduce unnecessary scope, and establish practical paths to production. • Define production-readiness criteria and ensure that AI solutions meet requirements for reliability, security, performance, observability, supportability, cost, and business continuity. • Distinguish clearly between proof of concept, pilot, minimum viable product, production capability, and enterprise platform. • Remain personally accountable for architecture outcomes, not only architecture artifacts or review completion. Generative and Agentic AI Architecture • Design enterprise-grade architectures for large language models, multimodal models, AI assistants, autonomous and semi-autonomous agents, and AI-enabled applications. • Define patterns for single-agent and multi-agent orchestration, tool use, planning, reasoning, memory, state management, delegation, and human approval. • Establish architecture standards for retrieval-augmented generation, structured retrieval, knowledge graphs, semantic search, and enterprise knowledge access. • Define patterns for context engineering, prompt management, structured outputs, model routing, fallback, caching, and workload segmentation. • Architect secure agent access to enterprise systems, APIs, data, workflows, and external services. • Define patterns for Model Context Protocol, agent-to-agent communication, enterprise APIs, event-driven interactions, and tool integration. • Establish controls around nondeterministic model behavior, including deterministic validation, approval checkpoints, execution boundaries, and exception handling. • Evaluate when AI agents are appropriate and when conventional software, workflow automation, rules engines, APIs, or analytics provide a better solution. • Prevent the use of generative AI or agents where the architecture introduces unnecessary cost, risk, latency, or operational complexity. Enterprise AI Platform Architecture • Define the architecture for shared enterprise AI platform capabilities, including model access, model gateways, agent runtime services, retrieval services, evaluation services, security controls, observability, and cost management. • Establish reusable AI services, platform components, reference architectures, templates, development patterns, and deployment patterns. • Define enterprise model access, model selection, model portability, workload routing, quota management, and vendor abstraction strategies. • Design workload, tenant, domain, environment, and data isolation patterns appropriate to enterprise risk and operating requirements. • Establish architectural standards for proprietary, open-weight, hosted, and internally operated models. • Define integration patterns between AI platforms and enterprise cloud, data, identity, security, integration, application, and observability platforms. • Partner with platform engineering, cloud infrastructure, data, cybersecurity, and application teams to establish a scalable AI operating environment. • Ensure that platform capabilities are implemented as usable products and services rather than architecture concepts that delivery teams cannot practically adopt. Data and Knowledge Architecture • Define data and knowledge architecture required to support AI models, agents, applications, evaluation, analytics, and business processes. • Establish patterns for structured, semi-structured, and unstructured data access. • Define architectures using relational, document, graph, vector, search, streaming, and analytical technologies based on workload requirements. • Establish standards for embeddings, chunking, indexing, metadata, reranking, retrieval, source attribution, and information freshness. • Define approaches for enterprise taxonomies, ontologies, semantic models, knowledge graphs, and reusable domain knowledge. • Ensure appropriate data lineage, provenance, ownership, quality, classification, access control, retention, and usage restrictions. • Define requirements for training, fine-tuning, inference, retrieval, evaluation, monitoring, and feedback datasets. • Ensure that AI responses and actions can be traced to authoritative enterprise information where required. • Identify situations where weak data, fragmented ownership, or poor knowledge management must be corrected rather than hidden behind an AI interface. Integration and Distributed Systems Architecture • Define and enforce AI integration patterns across enterprise applications, cloud platforms, SaaS products, data platforms, APIs, workflows, and external services. • Architect synchronous and asynchronous APIs, event-driven interactions, messaging, streaming, workflow orchestration, and long-running business processes. • Establish standards for identity propagation, delegated authorization, agent identity, workload identity, and service-to-service authentication. • Define system-of-record ownership . click apply for full job details
08/23/2026
Full time
Job Description Top Skills: Enterprise AI Architecture (Model gateways, Model routing, Shared AI services, Platform engineering, AI service abstraction layers, Multi-model strategies, Vendor portability, AI observability, Platform scalability, Tenant isolation, AI FinOps and cost controls) RAG and Knowledge Architecture Generative AI & Agentic AI Architecture Must have previous experience as an Architect implementing A.I into an Enterprise Environment Must have experience with Enterprise AI Platforms Enterprise Standards and Patterns Enterprise AI Strategy Target-State Architecture Architecture Governance Executive Influence Description The AI Enterprise Architect is responsible for defining, evolving, and driving the enterprise architecture for artificial intelligence across the environment. This is not a theoretical, advisory-only, or documentation-focused architecture role. The AI Enterprise Architect must be a hands-on technology leader who can move rapidly from an ambiguous business problem to an executable architecture, working reference implementation, production deployment, and measurable business outcome. The role operates at the intersection of enterprise architecture, AI engineering, data, security, cloud platforms, integration, product delivery, and business strategy. This individual will establish the enterprise direction for generative AI, agentic AI, machine learning, intelligent automation, AI-enabled applications, and shared AI platform capabilities. The AI Enterprise Architect will work within a Fortune 500 environment while supporting an AI program that operates with the urgency, experimentation, adaptability, and delivery expectations of a startup. The successful candidate must be comfortable making architecture decisions in a rapidly evolving technology landscape, challenging conventional approaches, eliminating unnecessary complexity, and personally driving initiatives through organizational and technical barriers. This individual must be capable of seeing the entire enterprise AI ecosystem while remaining close enough to implementation to validate architectures, examine code and configurations, build prototypes, identify delivery risks, and distinguish production-ready capabilities from demonstrations and vendor claims. Key Responsibilities Enterprise AI Strategy and Target Architecture • Define and maintain the enterprise AI target architecture, transition architectures, capability model, platform strategy, and multiyear architecture roadmap. • Translate business strategy and operating priorities into executable AI capabilities, architecture investments, and delivery sequences. • Establish the architectural direction for generative AI, agentic AI, machine learning, intelligent automation, AI-assisted decision-making, and AI-enabled business processes. • Define clear boundaries and relationships between enterprise AI platforms, domain solutions, shared services, data platforms, enterprise applications, and external AI providers. • Ensure that project-level AI decisions support enterprise scalability, interoperability, security, reuse, and long-term maintainability. • Identify opportunities to consolidate overlapping technologies, eliminate duplicated capabilities, and prevent uncontrolled AI platform and vendor sprawl. • Develop architecture options and recommendations that explicitly address business value, delivery speed, cost, risk, technical debt, vendor dependency, and operational complexity. • Maintain a current enterprise view of AI capabilities, platforms, models, agents, integrations, data dependencies, vendors, risks, and strategic initiatives. Hands-On AI Architecture and Delivery • Lead AI initiatives from problem definition and architecture through implementation, production deployment, adoption, and measurable outcomes. • Develop working prototypes and reference implementations to validate architecture decisions, platform capabilities, integration approaches, security controls, and delivery feasibility. • Review source code, prompts, agent definitions, tool configurations, retrieval pipelines, model configurations, APIs, infrastructure, and deployment pipelines as needed to validate solution quality. • Work directly with engineering teams to resolve architecture and implementation issues rather than limiting involvement to reviews or recommendations. • Rapidly diagnose delivery blockers, simplify overengineered approaches, reduce unnecessary scope, and establish practical paths to production. • Define production-readiness criteria and ensure that AI solutions meet requirements for reliability, security, performance, observability, supportability, cost, and business continuity. • Distinguish clearly between proof of concept, pilot, minimum viable product, production capability, and enterprise platform. • Remain personally accountable for architecture outcomes, not only architecture artifacts or review completion. Generative and Agentic AI Architecture • Design enterprise-grade architectures for large language models, multimodal models, AI assistants, autonomous and semi-autonomous agents, and AI-enabled applications. • Define patterns for single-agent and multi-agent orchestration, tool use, planning, reasoning, memory, state management, delegation, and human approval. • Establish architecture standards for retrieval-augmented generation, structured retrieval, knowledge graphs, semantic search, and enterprise knowledge access. • Define patterns for context engineering, prompt management, structured outputs, model routing, fallback, caching, and workload segmentation. • Architect secure agent access to enterprise systems, APIs, data, workflows, and external services. • Define patterns for Model Context Protocol, agent-to-agent communication, enterprise APIs, event-driven interactions, and tool integration. • Establish controls around nondeterministic model behavior, including deterministic validation, approval checkpoints, execution boundaries, and exception handling. • Evaluate when AI agents are appropriate and when conventional software, workflow automation, rules engines, APIs, or analytics provide a better solution. • Prevent the use of generative AI or agents where the architecture introduces unnecessary cost, risk, latency, or operational complexity. Enterprise AI Platform Architecture • Define the architecture for shared enterprise AI platform capabilities, including model access, model gateways, agent runtime services, retrieval services, evaluation services, security controls, observability, and cost management. • Establish reusable AI services, platform components, reference architectures, templates, development patterns, and deployment patterns. • Define enterprise model access, model selection, model portability, workload routing, quota management, and vendor abstraction strategies. • Design workload, tenant, domain, environment, and data isolation patterns appropriate to enterprise risk and operating requirements. • Establish architectural standards for proprietary, open-weight, hosted, and internally operated models. • Define integration patterns between AI platforms and enterprise cloud, data, identity, security, integration, application, and observability platforms. • Partner with platform engineering, cloud infrastructure, data, cybersecurity, and application teams to establish a scalable AI operating environment. • Ensure that platform capabilities are implemented as usable products and services rather than architecture concepts that delivery teams cannot practically adopt. Data and Knowledge Architecture • Define data and knowledge architecture required to support AI models, agents, applications, evaluation, analytics, and business processes. • Establish patterns for structured, semi-structured, and unstructured data access. • Define architectures using relational, document, graph, vector, search, streaming, and analytical technologies based on workload requirements. • Establish standards for embeddings, chunking, indexing, metadata, reranking, retrieval, source attribution, and information freshness. • Define approaches for enterprise taxonomies, ontologies, semantic models, knowledge graphs, and reusable domain knowledge. • Ensure appropriate data lineage, provenance, ownership, quality, classification, access control, retention, and usage restrictions. • Define requirements for training, fine-tuning, inference, retrieval, evaluation, monitoring, and feedback datasets. • Ensure that AI responses and actions can be traced to authoritative enterprise information where required. • Identify situations where weak data, fragmented ownership, or poor knowledge management must be corrected rather than hidden behind an AI interface. Integration and Distributed Systems Architecture • Define and enforce AI integration patterns across enterprise applications, cloud platforms, SaaS products, data platforms, APIs, workflows, and external services. • Architect synchronous and asynchronous APIs, event-driven interactions, messaging, streaming, workflow orchestration, and long-running business processes. • Establish standards for identity propagation, delegated authorization, agent identity, workload identity, and service-to-service authentication. • Define system-of-record ownership . click apply for full job details
Job Description Top Skills' Details AI solution architecture across business, application, data, integration, security, and infrastructure domains Generative AI, RAG, and Agentic AI Architecture (Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI and multi-agent systems, Prompt engineering and context orchestration, Vector databases, embeddings, reranking, and retrieval strategies, Model selection, routing, fallback, and optimization. AI Security, Identity, and Governance Must Have previous experience as an Architect with A.I Enterprise Experience Must have For the AI Solution Architect role, Generative AI RAG / knowledge architecture Agent architecture AI evaluation AI security LLMOps / AgentOps and production operations Model architecture Enterprise integration AI economics Description The AI Solutions Architect serves as the technical architecture leader for enterprise AI solutions within the AI Center of Excellence and reports directly to the Vice President of Enterprise Architecture. This role is responsible for designing secure, scalable, supportable, and economically sustainable AI-enabled solutions from initial concept through production deployment and ongoing operation. The AI Solutions Architect owns the end-to-end architecture of assigned AI initiatives, including business requirements, artificial intelligence models, agents, data and knowledge sources, integrations, identity, security, infrastructure, observability, operational support, and governance controls. The role ensures that AI capabilities are not developed as isolated experiments, but as enterprise-grade solutions that integrate with existing business processes, platforms, applications, and data ecosystems. The architect works directly with business stakeholders, product owners, engineering teams, Cybersecurity, Data and Analytics, Infrastructure, Legal, Risk, and vendor partners while ensuring alignment with enterprise architecture strategy, standards, governance, and technology roadmaps. The individual must be able to translate business objectives into actionable architecture, validate technical designs through hands-on analysis and prototyping, and clearly communicate architectural decisions, risks, costs, and trade-offs. This position requires demonstrated experience delivering production generative AI, retrieval-augmented generation, machine learning, and agentic AI solutions. Experience limited to strategy, presentations, vendor demonstrations, or proofs of concept does not satisfy the requirements of the role. AI Solution Architecture • Design end-to-end architectures for enterprise AI solutions, including generative AI, retrieval-augmented generation, conversational AI, predictive machine learning, intelligent automation, computer vision, speech, and agentic AI capabilities. • Translate business requirements into comprehensive technical solution designs covering applications, models, agents, data, integrations, security, cloud infrastructure, observability, operations, and governance. • Determine whether artificial intelligence is appropriate for a given business problem and recommend alternative technical approaches when AI does not provide sufficient value, reliability, or economic benefit. • Define current-state, target-state, and transitional architectures for AI initiatives, including technical dependencies, shared capabilities, implementation phases, and architecture risks. • Ensure AI solutions align with enterprise architecture standards, cloud strategies, approved technology platforms, cybersecurity requirements, data governance policies, and operational support models. • Create architecture acceptance criteria and validate that proposed solutions meet functional, technical, security, operational, and business requirements before production deployment. Generative AI and Model Architecture • Design production-grade generative AI solutions using commercial, open-source, hosted, dedicated, and privately deployed models. • Evaluate and select language, vision, speech, embedding, reranking, and multimodal models based on solution quality, latency, cost, context requirements, data sensitivity, deployment options, scalability, supportability, and vendor risk. • Design multi-model architectures that support model routing, fallback, portability, workload specialization, and reduced dependency on a single model provider. • Define prompt architecture, context assembly, structured-output requirements, response validation, model fallback, caching, rate limiting, and error-handling patterns. • Evaluate model performance using repeatable technical and business criteria rather than vendor benchmarks or demonstration results alone. • Maintain awareness of model capabilities, limitations, licensing considerations, deployment constraints, and rapidly changing AI platform capabilities. Agentic AI Architecture • Design secure and reliable AI agents that can reason, use tools, maintain state, interact with enterprise applications, and execute controlled business workflows. • Define agent responsibilities, tool boundaries, memory models, workflow states, delegation rules, approval requirements, and termination conditions. • Design single-agent and multi-agent solutions using deterministic workflow controls around nondeterministic model behavior. • Establish architecture patterns for human-in-the-loop review, escalation, exception handling, retries, timeouts, circuit breakers, compensating actions, and emergency termination. • Define secure agent-to-user, agent-to-agent, and agent-to-tool interaction patterns. • Prevent uncontrolled agent autonomy by enforcing least privilege, constrained tool access, transaction limits, validation rules, and approval gates for consequential actions. • Partner with AI engineering teams to establish consistent agent development, orchestration, testing, deployment, and lifecycle management standards. Retrieval-Augmented Generation and Knowledge Architecture • Design enterprise retrieval-augmented generation solutions across structured, unstructured, document, transactional, graph, and operational data sources. • Define document ingestion, parsing, chunking, metadata enrichment, embedding, indexing, retrieval, reranking, citation, and knowledge-refresh strategies. • Design lexical, semantic, vector, hybrid, graph-enhanced, and structured retrieval patterns based on the characteristics of each use case. • Ensure retrieval solutions preserve source-system security, authorization, data classification, retention, and user entitlements. • Establish patterns for authorization-aware retrieval, source attribution, content freshness, provenance, and deletion. • Define controls for retrieval poisoning, outdated content, duplicate information, conflicting sources, inappropriate data exposure, and unsupported model responses. • Evaluate retrieval quality, answer relevance, groundedness, citation accuracy, and knowledge coverage before production deployment. AI Evaluation and Quality Engineering • Define measurable quality standards and evaluation strategies for generative AI, retrieval, machine learning, and agentic AI solutions. • Establish golden datasets, benchmark scenarios, regression suites, adversarial tests, and business acceptance criteria. • Define evaluation methods for accuracy, relevance, groundedness, hallucination, toxicity, bias, safety, retrieval quality, tool selection, tool-call accuracy, agent trajectory, and task completion. • Implement automated evaluation gates within AI development and deployment pipelines. • Define the appropriate use of human evaluation, expert review, LLM-based evaluation, deterministic testing, and statistical analysis. • Ensure model, prompt, retrieval, agent, and tool changes are tested against previous production behavior before release. • Establish production quality thresholds, monitoring requirements, rollback criteria, and exception-management processes. AI Security, Identity, and Trust Architecture • Design AI solutions in accordance with enterprise cybersecurity, privacy, identity, compliance, and risk-management requirements. • Perform AI-specific threat modeling covering prompt injection, indirect prompt injection, data poisoning, retrieval poisoning, sensitive-data exposure, model extraction, system-prompt leakage, insecure tool invocation, excessive agency, and downstream code execution. • Define identity propagation and authorization patterns across users, agents, models, tools, APIs, applications, data sources, and external services. • Design least-privilege access, workload identities, delegated authorization, service accounts, session isolation, tenant isolation, and approval controls. • Ensure agents cannot access data, tools, or transactions beyond the permissions of the requesting user or approved system identity. • Define security controls for AI gateways, model endpoints, vector stores, knowledge bases, MCP servers, external tools, plugins, third-party models, and vendor services. • Establish auditability that records who initiated an AI request, what context was used, which decisions were made, which tools were invoked, who approved an action, and what action was executed. . click apply for full job details
08/23/2026
Full time
Job Description Top Skills' Details AI solution architecture across business, application, data, integration, security, and infrastructure domains Generative AI, RAG, and Agentic AI Architecture (Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI and multi-agent systems, Prompt engineering and context orchestration, Vector databases, embeddings, reranking, and retrieval strategies, Model selection, routing, fallback, and optimization. AI Security, Identity, and Governance Must Have previous experience as an Architect with A.I Enterprise Experience Must have For the AI Solution Architect role, Generative AI RAG / knowledge architecture Agent architecture AI evaluation AI security LLMOps / AgentOps and production operations Model architecture Enterprise integration AI economics Description The AI Solutions Architect serves as the technical architecture leader for enterprise AI solutions within the AI Center of Excellence and reports directly to the Vice President of Enterprise Architecture. This role is responsible for designing secure, scalable, supportable, and economically sustainable AI-enabled solutions from initial concept through production deployment and ongoing operation. The AI Solutions Architect owns the end-to-end architecture of assigned AI initiatives, including business requirements, artificial intelligence models, agents, data and knowledge sources, integrations, identity, security, infrastructure, observability, operational support, and governance controls. The role ensures that AI capabilities are not developed as isolated experiments, but as enterprise-grade solutions that integrate with existing business processes, platforms, applications, and data ecosystems. The architect works directly with business stakeholders, product owners, engineering teams, Cybersecurity, Data and Analytics, Infrastructure, Legal, Risk, and vendor partners while ensuring alignment with enterprise architecture strategy, standards, governance, and technology roadmaps. The individual must be able to translate business objectives into actionable architecture, validate technical designs through hands-on analysis and prototyping, and clearly communicate architectural decisions, risks, costs, and trade-offs. This position requires demonstrated experience delivering production generative AI, retrieval-augmented generation, machine learning, and agentic AI solutions. Experience limited to strategy, presentations, vendor demonstrations, or proofs of concept does not satisfy the requirements of the role. AI Solution Architecture • Design end-to-end architectures for enterprise AI solutions, including generative AI, retrieval-augmented generation, conversational AI, predictive machine learning, intelligent automation, computer vision, speech, and agentic AI capabilities. • Translate business requirements into comprehensive technical solution designs covering applications, models, agents, data, integrations, security, cloud infrastructure, observability, operations, and governance. • Determine whether artificial intelligence is appropriate for a given business problem and recommend alternative technical approaches when AI does not provide sufficient value, reliability, or economic benefit. • Define current-state, target-state, and transitional architectures for AI initiatives, including technical dependencies, shared capabilities, implementation phases, and architecture risks. • Ensure AI solutions align with enterprise architecture standards, cloud strategies, approved technology platforms, cybersecurity requirements, data governance policies, and operational support models. • Create architecture acceptance criteria and validate that proposed solutions meet functional, technical, security, operational, and business requirements before production deployment. Generative AI and Model Architecture • Design production-grade generative AI solutions using commercial, open-source, hosted, dedicated, and privately deployed models. • Evaluate and select language, vision, speech, embedding, reranking, and multimodal models based on solution quality, latency, cost, context requirements, data sensitivity, deployment options, scalability, supportability, and vendor risk. • Design multi-model architectures that support model routing, fallback, portability, workload specialization, and reduced dependency on a single model provider. • Define prompt architecture, context assembly, structured-output requirements, response validation, model fallback, caching, rate limiting, and error-handling patterns. • Evaluate model performance using repeatable technical and business criteria rather than vendor benchmarks or demonstration results alone. • Maintain awareness of model capabilities, limitations, licensing considerations, deployment constraints, and rapidly changing AI platform capabilities. Agentic AI Architecture • Design secure and reliable AI agents that can reason, use tools, maintain state, interact with enterprise applications, and execute controlled business workflows. • Define agent responsibilities, tool boundaries, memory models, workflow states, delegation rules, approval requirements, and termination conditions. • Design single-agent and multi-agent solutions using deterministic workflow controls around nondeterministic model behavior. • Establish architecture patterns for human-in-the-loop review, escalation, exception handling, retries, timeouts, circuit breakers, compensating actions, and emergency termination. • Define secure agent-to-user, agent-to-agent, and agent-to-tool interaction patterns. • Prevent uncontrolled agent autonomy by enforcing least privilege, constrained tool access, transaction limits, validation rules, and approval gates for consequential actions. • Partner with AI engineering teams to establish consistent agent development, orchestration, testing, deployment, and lifecycle management standards. Retrieval-Augmented Generation and Knowledge Architecture • Design enterprise retrieval-augmented generation solutions across structured, unstructured, document, transactional, graph, and operational data sources. • Define document ingestion, parsing, chunking, metadata enrichment, embedding, indexing, retrieval, reranking, citation, and knowledge-refresh strategies. • Design lexical, semantic, vector, hybrid, graph-enhanced, and structured retrieval patterns based on the characteristics of each use case. • Ensure retrieval solutions preserve source-system security, authorization, data classification, retention, and user entitlements. • Establish patterns for authorization-aware retrieval, source attribution, content freshness, provenance, and deletion. • Define controls for retrieval poisoning, outdated content, duplicate information, conflicting sources, inappropriate data exposure, and unsupported model responses. • Evaluate retrieval quality, answer relevance, groundedness, citation accuracy, and knowledge coverage before production deployment. AI Evaluation and Quality Engineering • Define measurable quality standards and evaluation strategies for generative AI, retrieval, machine learning, and agentic AI solutions. • Establish golden datasets, benchmark scenarios, regression suites, adversarial tests, and business acceptance criteria. • Define evaluation methods for accuracy, relevance, groundedness, hallucination, toxicity, bias, safety, retrieval quality, tool selection, tool-call accuracy, agent trajectory, and task completion. • Implement automated evaluation gates within AI development and deployment pipelines. • Define the appropriate use of human evaluation, expert review, LLM-based evaluation, deterministic testing, and statistical analysis. • Ensure model, prompt, retrieval, agent, and tool changes are tested against previous production behavior before release. • Establish production quality thresholds, monitoring requirements, rollback criteria, and exception-management processes. AI Security, Identity, and Trust Architecture • Design AI solutions in accordance with enterprise cybersecurity, privacy, identity, compliance, and risk-management requirements. • Perform AI-specific threat modeling covering prompt injection, indirect prompt injection, data poisoning, retrieval poisoning, sensitive-data exposure, model extraction, system-prompt leakage, insecure tool invocation, excessive agency, and downstream code execution. • Define identity propagation and authorization patterns across users, agents, models, tools, APIs, applications, data sources, and external services. • Design least-privilege access, workload identities, delegated authorization, service accounts, session isolation, tenant isolation, and approval controls. • Ensure agents cannot access data, tools, or transactions beyond the permissions of the requesting user or approved system identity. • Define security controls for AI gateways, model endpoints, vector stores, knowledge bases, MCP servers, external tools, plugins, third-party models, and vendor services. • Establish auditability that records who initiated an AI request, what context was used, which decisions were made, which tools were invoked, who approved an action, and what action was executed. . click apply for full job details
Description: GXM Technologies is seeking an experienced Agile Program Integration Lead to support advanced operational and mission-focused programs within defense and space-related environments. This role supports complex systems integration, operational mission execution, cloud modernization, and multi-domain capability delivery efforts through coordination of Agile execution activities, enterprise-level delivery synchronization, operational milestone tracking, and integrated program management. The ideal candidate possesses a combination of Agile delivery leadership, technical program coordination, systems integration awareness, and operational mission execution experience. This individual will work closely with program managers, technical leads, systems engineers, DevSecOps teams, architects, cybersecurity personnel, and Government stakeholders to synchronize delivery activities across Agile teams while maintaining visibility into overall program execution, operational milestones, MVP release timelines, and IOC delivery objectives. This role is onsite in Colorado Springs, CO due to operational integration and classified mission requirements. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the cross-functional Agile delivery and program integration coordination lead supporting operational mission execution across multiple technical teams and integrated workstreams. Coordinate Agile execution activities across systems engineering, software development, cloud infrastructure, cybersecurity, operational integration, testing, and mission support teams. Utilize Jira, Confluence, and enterprise Agile planning tools to manage: o Program execution tracking o Cross-team dependencies o Operational milestones o MVP release coordination o Integration timelines o IOC readiness activities Configure and manage Jira portfolio planning, roadmap, and scheduling plugins supporting both Agile team execution and enterprise-level program management activities. Develop and maintain integrated program execution roadmaps, delivery schedules, release coordination plans, operational milestone tracking, and dependency management artifacts. Facilitate synchronization activities across technical teams, mission stakeholders, engineering organizations, and Government leadership. Support Agile ceremonies, release planning activities, integration coordination meetings, operational readiness reviews, and delivery synchronization events. Monitor execution risks, integration dependencies, delivery constraints, and operational impacts while supporting mitigation planning and corrective actions. Support program leadership with delivery metrics, Jira dashboards, roadmap reporting, operational status tracking, and executive-level program visibility. Collaborate with Technical Program Managers, Enterprise Architects, Chief Engineers, Technical Leads, cybersecurity teams, and operational mission stakeholders to support scalable operational capability delivery. Support implementation and continuous improvement of Agile, Lean, DevSecOps, and delivery management practices supporting operational mission environments. Coordinate configuration management and documentation alignment activities with Knowledge Management and Configuration Management personnel. Support transition planning, operational release coordination, and capability deployment activities aligned to mission readiness objectives. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in related technical or business discipline (or equivalent experience). 5+ years of experience supporting Agile delivery coordination, technical program integration, release management, or operational program execution activities. Strong experience using Jira and Confluence within complex technical, engineering, software development, or operational mission environments. Experience configuring and managing Jira planning and roadmap plugins supporting: o Agile team execution o Dependency management o Program-level scheduling o Release coordination o Enterprise delivery visibility Understanding of Agile methodologies, Scrum, Kanban, Lean delivery practices, and DevSecOps operational models. Familiarity with systems integration, software development, cloud infrastructure, cybersecurity, operational mission systems, or engineering delivery environments. Experience supporting cross-functional technical teams operating within fast-paced operational programs. Strong understanding of dependency management, release coordination, milestone tracking, operational delivery synchronization, and execution risk management. Strong analytical, organizational, facilitation, communication, and stakeholder coordination skills. Proven ability to coordinate execution across multiple technical teams and operational workstreams within classified or mission-critical environments. Desired Qualifications Experience supporting operational Command and Control (C2), mission systems integration, or cloud-native operational environments. Familiarity with Jira Advanced Roadmaps, Structure, BigPicture, Tempo, Jira Align, or equivalent enterprise Agile planning and portfolio management plugins. Experience supporting Agile Release Train (ART), Release Train Engineer (RTE), delivery management, or scaled Agile coordination functions. Familiarity with DevSecOps pipelines, CI/CD workflows, cloud-native delivery environments, and operational integration activities. Experience supporting operational readiness reviews, MVP release coordination, IOC demonstrations, or mission rehearsal activities. SAFe, Scrum Master, PMP, PMI-ACP, ICP-ACC, RTE, or equivalent Agile/program delivery certification preferred. Experience supporting executive-level program reporting, operational dashboards, and integrated delivery metrics within Government or defense programs preferred. $110,000-$145,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PI69afae5fb6-
08/23/2026
Full time
Description: GXM Technologies is seeking an experienced Agile Program Integration Lead to support advanced operational and mission-focused programs within defense and space-related environments. This role supports complex systems integration, operational mission execution, cloud modernization, and multi-domain capability delivery efforts through coordination of Agile execution activities, enterprise-level delivery synchronization, operational milestone tracking, and integrated program management. The ideal candidate possesses a combination of Agile delivery leadership, technical program coordination, systems integration awareness, and operational mission execution experience. This individual will work closely with program managers, technical leads, systems engineers, DevSecOps teams, architects, cybersecurity personnel, and Government stakeholders to synchronize delivery activities across Agile teams while maintaining visibility into overall program execution, operational milestones, MVP release timelines, and IOC delivery objectives. This role is onsite in Colorado Springs, CO due to operational integration and classified mission requirements. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the cross-functional Agile delivery and program integration coordination lead supporting operational mission execution across multiple technical teams and integrated workstreams. Coordinate Agile execution activities across systems engineering, software development, cloud infrastructure, cybersecurity, operational integration, testing, and mission support teams. Utilize Jira, Confluence, and enterprise Agile planning tools to manage: o Program execution tracking o Cross-team dependencies o Operational milestones o MVP release coordination o Integration timelines o IOC readiness activities Configure and manage Jira portfolio planning, roadmap, and scheduling plugins supporting both Agile team execution and enterprise-level program management activities. Develop and maintain integrated program execution roadmaps, delivery schedules, release coordination plans, operational milestone tracking, and dependency management artifacts. Facilitate synchronization activities across technical teams, mission stakeholders, engineering organizations, and Government leadership. Support Agile ceremonies, release planning activities, integration coordination meetings, operational readiness reviews, and delivery synchronization events. Monitor execution risks, integration dependencies, delivery constraints, and operational impacts while supporting mitigation planning and corrective actions. Support program leadership with delivery metrics, Jira dashboards, roadmap reporting, operational status tracking, and executive-level program visibility. Collaborate with Technical Program Managers, Enterprise Architects, Chief Engineers, Technical Leads, cybersecurity teams, and operational mission stakeholders to support scalable operational capability delivery. Support implementation and continuous improvement of Agile, Lean, DevSecOps, and delivery management practices supporting operational mission environments. Coordinate configuration management and documentation alignment activities with Knowledge Management and Configuration Management personnel. Support transition planning, operational release coordination, and capability deployment activities aligned to mission readiness objectives. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in related technical or business discipline (or equivalent experience). 5+ years of experience supporting Agile delivery coordination, technical program integration, release management, or operational program execution activities. Strong experience using Jira and Confluence within complex technical, engineering, software development, or operational mission environments. Experience configuring and managing Jira planning and roadmap plugins supporting: o Agile team execution o Dependency management o Program-level scheduling o Release coordination o Enterprise delivery visibility Understanding of Agile methodologies, Scrum, Kanban, Lean delivery practices, and DevSecOps operational models. Familiarity with systems integration, software development, cloud infrastructure, cybersecurity, operational mission systems, or engineering delivery environments. Experience supporting cross-functional technical teams operating within fast-paced operational programs. Strong understanding of dependency management, release coordination, milestone tracking, operational delivery synchronization, and execution risk management. Strong analytical, organizational, facilitation, communication, and stakeholder coordination skills. Proven ability to coordinate execution across multiple technical teams and operational workstreams within classified or mission-critical environments. Desired Qualifications Experience supporting operational Command and Control (C2), mission systems integration, or cloud-native operational environments. Familiarity with Jira Advanced Roadmaps, Structure, BigPicture, Tempo, Jira Align, or equivalent enterprise Agile planning and portfolio management plugins. Experience supporting Agile Release Train (ART), Release Train Engineer (RTE), delivery management, or scaled Agile coordination functions. Familiarity with DevSecOps pipelines, CI/CD workflows, cloud-native delivery environments, and operational integration activities. Experience supporting operational readiness reviews, MVP release coordination, IOC demonstrations, or mission rehearsal activities. SAFe, Scrum Master, PMP, PMI-ACP, ICP-ACC, RTE, or equivalent Agile/program delivery certification preferred. Experience supporting executive-level program reporting, operational dashboards, and integrated delivery metrics within Government or defense programs preferred. $110,000-$145,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PI69afae5fb6-
Job Description Top Skills' Details AI solution architecture across business, application, data, integration, security, and infrastructure domains Generative AI, RAG, and Agentic AI Architecture (Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI and multi-agent systems, Prompt engineering and context orchestration, Vector databases, embeddings, reranking, and retrieval strategies, Model selection, routing, fallback, and optimization. AI Security, Identity, and Governance Must Have previous experience as an Architect with A.I Enterprise Experience Must have For the AI Solution Architect role, Generative AI RAG / knowledge architecture Agent architecture AI evaluation AI security LLMOps / AgentOps and production operations Model architecture Enterprise integration AI economics Description The AI Solutions Architect serves as the technical architecture leader for enterprise AI solutions within the AI Center of Excellence and reports directly to the Vice President of Enterprise Architecture. This role is responsible for designing secure, scalable, supportable, and economically sustainable AI-enabled solutions from initial concept through production deployment and ongoing operation. The AI Solutions Architect owns the end-to-end architecture of assigned AI initiatives, including business requirements, artificial intelligence models, agents, data and knowledge sources, integrations, identity, security, infrastructure, observability, operational support, and governance controls. The role ensures that AI capabilities are not developed as isolated experiments, but as enterprise-grade solutions that integrate with existing business processes, platforms, applications, and data ecosystems. The architect works directly with business stakeholders, product owners, engineering teams, Cybersecurity, Data and Analytics, Infrastructure, Legal, Risk, and vendor partners while ensuring alignment with enterprise architecture strategy, standards, governance, and technology roadmaps. The individual must be able to translate business objectives into actionable architecture, validate technical designs through hands-on analysis and prototyping, and clearly communicate architectural decisions, risks, costs, and trade-offs. This position requires demonstrated experience delivering production generative AI, retrieval-augmented generation, machine learning, and agentic AI solutions. Experience limited to strategy, presentations, vendor demonstrations, or proofs of concept does not satisfy the requirements of the role. AI Solution Architecture • Design end-to-end architectures for enterprise AI solutions, including generative AI, retrieval-augmented generation, conversational AI, predictive machine learning, intelligent automation, computer vision, speech, and agentic AI capabilities. • Translate business requirements into comprehensive technical solution designs covering applications, models, agents, data, integrations, security, cloud infrastructure, observability, operations, and governance. • Determine whether artificial intelligence is appropriate for a given business problem and recommend alternative technical approaches when AI does not provide sufficient value, reliability, or economic benefit. • Define current-state, target-state, and transitional architectures for AI initiatives, including technical dependencies, shared capabilities, implementation phases, and architecture risks. • Ensure AI solutions align with enterprise architecture standards, cloud strategies, approved technology platforms, cybersecurity requirements, data governance policies, and operational support models. • Create architecture acceptance criteria and validate that proposed solutions meet functional, technical, security, operational, and business requirements before production deployment. Generative AI and Model Architecture • Design production-grade generative AI solutions using commercial, open-source, hosted, dedicated, and privately deployed models. • Evaluate and select language, vision, speech, embedding, reranking, and multimodal models based on solution quality, latency, cost, context requirements, data sensitivity, deployment options, scalability, supportability, and vendor risk. • Design multi-model architectures that support model routing, fallback, portability, workload specialization, and reduced dependency on a single model provider. • Define prompt architecture, context assembly, structured-output requirements, response validation, model fallback, caching, rate limiting, and error-handling patterns. • Evaluate model performance using repeatable technical and business criteria rather than vendor benchmarks or demonstration results alone. • Maintain awareness of model capabilities, limitations, licensing considerations, deployment constraints, and rapidly changing AI platform capabilities. Agentic AI Architecture • Design secure and reliable AI agents that can reason, use tools, maintain state, interact with enterprise applications, and execute controlled business workflows. • Define agent responsibilities, tool boundaries, memory models, workflow states, delegation rules, approval requirements, and termination conditions. • Design single-agent and multi-agent solutions using deterministic workflow controls around nondeterministic model behavior. • Establish architecture patterns for human-in-the-loop review, escalation, exception handling, retries, timeouts, circuit breakers, compensating actions, and emergency termination. • Define secure agent-to-user, agent-to-agent, and agent-to-tool interaction patterns. • Prevent uncontrolled agent autonomy by enforcing least privilege, constrained tool access, transaction limits, validation rules, and approval gates for consequential actions. • Partner with AI engineering teams to establish consistent agent development, orchestration, testing, deployment, and lifecycle management standards. Retrieval-Augmented Generation and Knowledge Architecture • Design enterprise retrieval-augmented generation solutions across structured, unstructured, document, transactional, graph, and operational data sources. • Define document ingestion, parsing, chunking, metadata enrichment, embedding, indexing, retrieval, reranking, citation, and knowledge-refresh strategies. • Design lexical, semantic, vector, hybrid, graph-enhanced, and structured retrieval patterns based on the characteristics of each use case. • Ensure retrieval solutions preserve source-system security, authorization, data classification, retention, and user entitlements. • Establish patterns for authorization-aware retrieval, source attribution, content freshness, provenance, and deletion. • Define controls for retrieval poisoning, outdated content, duplicate information, conflicting sources, inappropriate data exposure, and unsupported model responses. • Evaluate retrieval quality, answer relevance, groundedness, citation accuracy, and knowledge coverage before production deployment. AI Evaluation and Quality Engineering • Define measurable quality standards and evaluation strategies for generative AI, retrieval, machine learning, and agentic AI solutions. • Establish golden datasets, benchmark scenarios, regression suites, adversarial tests, and business acceptance criteria. • Define evaluation methods for accuracy, relevance, groundedness, hallucination, toxicity, bias, safety, retrieval quality, tool selection, tool-call accuracy, agent trajectory, and task completion. • Implement automated evaluation gates within AI development and deployment pipelines. • Define the appropriate use of human evaluation, expert review, LLM-based evaluation, deterministic testing, and statistical analysis. • Ensure model, prompt, retrieval, agent, and tool changes are tested against previous production behavior before release. • Establish production quality thresholds, monitoring requirements, rollback criteria, and exception-management processes. AI Security, Identity, and Trust Architecture • Design AI solutions in accordance with enterprise cybersecurity, privacy, identity, compliance, and risk-management requirements. • Perform AI-specific threat modeling covering prompt injection, indirect prompt injection, data poisoning, retrieval poisoning, sensitive-data exposure, model extraction, system-prompt leakage, insecure tool invocation, excessive agency, and downstream code execution. • Define identity propagation and authorization patterns across users, agents, models, tools, APIs, applications, data sources, and external services. • Design least-privilege access, workload identities, delegated authorization, service accounts, session isolation, tenant isolation, and approval controls. • Ensure agents cannot access data, tools, or transactions beyond the permissions of the requesting user or approved system identity. • Define security controls for AI gateways, model endpoints, vector stores, knowledge bases, MCP servers, external tools, plugins, third-party models, and vendor services. • Establish auditability that records who initiated an AI request, what context was used, which decisions were made, which tools were invoked, who approved an action, and what action was executed. . click apply for full job details
08/23/2026
Full time
Job Description Top Skills' Details AI solution architecture across business, application, data, integration, security, and infrastructure domains Generative AI, RAG, and Agentic AI Architecture (Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI and multi-agent systems, Prompt engineering and context orchestration, Vector databases, embeddings, reranking, and retrieval strategies, Model selection, routing, fallback, and optimization. AI Security, Identity, and Governance Must Have previous experience as an Architect with A.I Enterprise Experience Must have For the AI Solution Architect role, Generative AI RAG / knowledge architecture Agent architecture AI evaluation AI security LLMOps / AgentOps and production operations Model architecture Enterprise integration AI economics Description The AI Solutions Architect serves as the technical architecture leader for enterprise AI solutions within the AI Center of Excellence and reports directly to the Vice President of Enterprise Architecture. This role is responsible for designing secure, scalable, supportable, and economically sustainable AI-enabled solutions from initial concept through production deployment and ongoing operation. The AI Solutions Architect owns the end-to-end architecture of assigned AI initiatives, including business requirements, artificial intelligence models, agents, data and knowledge sources, integrations, identity, security, infrastructure, observability, operational support, and governance controls. The role ensures that AI capabilities are not developed as isolated experiments, but as enterprise-grade solutions that integrate with existing business processes, platforms, applications, and data ecosystems. The architect works directly with business stakeholders, product owners, engineering teams, Cybersecurity, Data and Analytics, Infrastructure, Legal, Risk, and vendor partners while ensuring alignment with enterprise architecture strategy, standards, governance, and technology roadmaps. The individual must be able to translate business objectives into actionable architecture, validate technical designs through hands-on analysis and prototyping, and clearly communicate architectural decisions, risks, costs, and trade-offs. This position requires demonstrated experience delivering production generative AI, retrieval-augmented generation, machine learning, and agentic AI solutions. Experience limited to strategy, presentations, vendor demonstrations, or proofs of concept does not satisfy the requirements of the role. AI Solution Architecture • Design end-to-end architectures for enterprise AI solutions, including generative AI, retrieval-augmented generation, conversational AI, predictive machine learning, intelligent automation, computer vision, speech, and agentic AI capabilities. • Translate business requirements into comprehensive technical solution designs covering applications, models, agents, data, integrations, security, cloud infrastructure, observability, operations, and governance. • Determine whether artificial intelligence is appropriate for a given business problem and recommend alternative technical approaches when AI does not provide sufficient value, reliability, or economic benefit. • Define current-state, target-state, and transitional architectures for AI initiatives, including technical dependencies, shared capabilities, implementation phases, and architecture risks. • Ensure AI solutions align with enterprise architecture standards, cloud strategies, approved technology platforms, cybersecurity requirements, data governance policies, and operational support models. • Create architecture acceptance criteria and validate that proposed solutions meet functional, technical, security, operational, and business requirements before production deployment. Generative AI and Model Architecture • Design production-grade generative AI solutions using commercial, open-source, hosted, dedicated, and privately deployed models. • Evaluate and select language, vision, speech, embedding, reranking, and multimodal models based on solution quality, latency, cost, context requirements, data sensitivity, deployment options, scalability, supportability, and vendor risk. • Design multi-model architectures that support model routing, fallback, portability, workload specialization, and reduced dependency on a single model provider. • Define prompt architecture, context assembly, structured-output requirements, response validation, model fallback, caching, rate limiting, and error-handling patterns. • Evaluate model performance using repeatable technical and business criteria rather than vendor benchmarks or demonstration results alone. • Maintain awareness of model capabilities, limitations, licensing considerations, deployment constraints, and rapidly changing AI platform capabilities. Agentic AI Architecture • Design secure and reliable AI agents that can reason, use tools, maintain state, interact with enterprise applications, and execute controlled business workflows. • Define agent responsibilities, tool boundaries, memory models, workflow states, delegation rules, approval requirements, and termination conditions. • Design single-agent and multi-agent solutions using deterministic workflow controls around nondeterministic model behavior. • Establish architecture patterns for human-in-the-loop review, escalation, exception handling, retries, timeouts, circuit breakers, compensating actions, and emergency termination. • Define secure agent-to-user, agent-to-agent, and agent-to-tool interaction patterns. • Prevent uncontrolled agent autonomy by enforcing least privilege, constrained tool access, transaction limits, validation rules, and approval gates for consequential actions. • Partner with AI engineering teams to establish consistent agent development, orchestration, testing, deployment, and lifecycle management standards. Retrieval-Augmented Generation and Knowledge Architecture • Design enterprise retrieval-augmented generation solutions across structured, unstructured, document, transactional, graph, and operational data sources. • Define document ingestion, parsing, chunking, metadata enrichment, embedding, indexing, retrieval, reranking, citation, and knowledge-refresh strategies. • Design lexical, semantic, vector, hybrid, graph-enhanced, and structured retrieval patterns based on the characteristics of each use case. • Ensure retrieval solutions preserve source-system security, authorization, data classification, retention, and user entitlements. • Establish patterns for authorization-aware retrieval, source attribution, content freshness, provenance, and deletion. • Define controls for retrieval poisoning, outdated content, duplicate information, conflicting sources, inappropriate data exposure, and unsupported model responses. • Evaluate retrieval quality, answer relevance, groundedness, citation accuracy, and knowledge coverage before production deployment. AI Evaluation and Quality Engineering • Define measurable quality standards and evaluation strategies for generative AI, retrieval, machine learning, and agentic AI solutions. • Establish golden datasets, benchmark scenarios, regression suites, adversarial tests, and business acceptance criteria. • Define evaluation methods for accuracy, relevance, groundedness, hallucination, toxicity, bias, safety, retrieval quality, tool selection, tool-call accuracy, agent trajectory, and task completion. • Implement automated evaluation gates within AI development and deployment pipelines. • Define the appropriate use of human evaluation, expert review, LLM-based evaluation, deterministic testing, and statistical analysis. • Ensure model, prompt, retrieval, agent, and tool changes are tested against previous production behavior before release. • Establish production quality thresholds, monitoring requirements, rollback criteria, and exception-management processes. AI Security, Identity, and Trust Architecture • Design AI solutions in accordance with enterprise cybersecurity, privacy, identity, compliance, and risk-management requirements. • Perform AI-specific threat modeling covering prompt injection, indirect prompt injection, data poisoning, retrieval poisoning, sensitive-data exposure, model extraction, system-prompt leakage, insecure tool invocation, excessive agency, and downstream code execution. • Define identity propagation and authorization patterns across users, agents, models, tools, APIs, applications, data sources, and external services. • Design least-privilege access, workload identities, delegated authorization, service accounts, session isolation, tenant isolation, and approval controls. • Ensure agents cannot access data, tools, or transactions beyond the permissions of the requesting user or approved system identity. • Define security controls for AI gateways, model endpoints, vector stores, knowledge bases, MCP servers, external tools, plugins, third-party models, and vendor services. • Establish auditability that records who initiated an AI request, what context was used, which decisions were made, which tools were invoked, who approved an action, and what action was executed. . click apply for full job details
Job Description Job Description Director of IT Infrastructure & Security - On-site The Director of IT Infrastructure & Security provides strategic and operational leadership for AdvancedHEALTH's IT infrastructure, cybersecurity, network services, and end-user technology environment. This role ensures the security, reliability, scalability, and availability of technology systems that support a geographically distributed healthcare organization and its mission-critical EMR platform. The Director oversees infrastructure operations, cybersecurity, disaster recovery, and technology governance while partnering with executive leadership, application teams, and external vendors to drive operational excellence and business continuity. KEY RESPONSIBILITIES Infrastructure & Operations Lead and manage enterprise infrastructure, including data centers, servers, Microsoft Hyper-V, storage, networks, telecommunications, and endpoint services. Ensure the performance, availability, security, and reliability of systems supporting critical clinical and business applications. Oversee network and security infrastructure, including FortiGate firewalls, VPNs, connectivity, and multi-site operations. Manage Active Directory, identity and access management, Group Policy, and on-premises Microsoft Exchange. Direct endpoint management, patching, monitoring, hardware lifecycle management, and IT service desk operations. Cybersecurity & Business Continuity Lead cybersecurity programs, including endpoint and network security, vulnerability management, security monitoring, MFA, and privileged access controls. Coordinate incident response activities with internal teams and external security partners. Oversee backup, disaster recovery, business continuity planning, and recovery testing. Ensure compliance with HIPAA security requirements and applicable regulatory standards. IT Leadership & Governance Lead, develop, and mentor infrastructure, network, systems, and support teams. Establish and maintain IT policies, standards, documentation, change management processes, and operational best practices. Manage major technology incidents, root-cause analysis, and corrective action plans. Oversee technology vendors, contracts, licensing, budgets, and long-term infrastructure planning. Communicate technology performance, cybersecurity risks, and strategic initiatives to executive leadership. EHR & Application Support Partner with EHR and application leaders to ensure infrastructure effectively supports clinical and business systems. Maintain responsibility for the infrastructure, security, connectivity, storage, and availability supporting the enterprise EMR. Coordinate infrastructure changes and maintenance activities to minimize operational disruption. QUALIFICATIONS Bachelor's degree in information technology, Computer Science, Cybersecurity, Information Systems, Engineering, or a related field. 10+ years of progressive IT experience, including 5+ years in a leadership role. Healthcare IT experience preferred. Strong experience with on-premises data centers, Microsoft Hyper-V, Windows Server, Active Directory, Group Policy, and on-premises Exchange. Expertise in enterprise networking, FortiGate firewalls, VPNs, network segmentation, and multi-site infrastructure. Deep knowledge of cybersecurity, enterprise storage, backup and recovery, endpoint management, and infrastructure lifecycle management. Strong understanding of HIPAA security requirements and regulatory compliance. Proven ability to lead technical teams, manage budgets and vendors, oversee complex technology initiatives, and communicate effectively with executive leadership. WORK ENVIRONMENT Full-time, primarily office-based position. Occasional travel and after-hours availability may be required to support critical incidents, maintenance activities, and technology implementations. We Offer: Medical Insurance, Dental, & Vision Health Savings Account Flex Spending for child care Paid life insurance of $50,000 Paid Long Term Disability Insurance Voluntary Life Insurance Voluntary Short Term Disability Many Aflac Policies: Accident, Hospital, Critical Illness, Identity Theft, Legal Plan 401K - very generous plan the company contributes even if you do not PTO (Paid Time Off) - generous plan Compensation details: 00 Yearly Salary PI4e944ddd679c-7220
08/23/2026
Full time
Job Description Job Description Director of IT Infrastructure & Security - On-site The Director of IT Infrastructure & Security provides strategic and operational leadership for AdvancedHEALTH's IT infrastructure, cybersecurity, network services, and end-user technology environment. This role ensures the security, reliability, scalability, and availability of technology systems that support a geographically distributed healthcare organization and its mission-critical EMR platform. The Director oversees infrastructure operations, cybersecurity, disaster recovery, and technology governance while partnering with executive leadership, application teams, and external vendors to drive operational excellence and business continuity. KEY RESPONSIBILITIES Infrastructure & Operations Lead and manage enterprise infrastructure, including data centers, servers, Microsoft Hyper-V, storage, networks, telecommunications, and endpoint services. Ensure the performance, availability, security, and reliability of systems supporting critical clinical and business applications. Oversee network and security infrastructure, including FortiGate firewalls, VPNs, connectivity, and multi-site operations. Manage Active Directory, identity and access management, Group Policy, and on-premises Microsoft Exchange. Direct endpoint management, patching, monitoring, hardware lifecycle management, and IT service desk operations. Cybersecurity & Business Continuity Lead cybersecurity programs, including endpoint and network security, vulnerability management, security monitoring, MFA, and privileged access controls. Coordinate incident response activities with internal teams and external security partners. Oversee backup, disaster recovery, business continuity planning, and recovery testing. Ensure compliance with HIPAA security requirements and applicable regulatory standards. IT Leadership & Governance Lead, develop, and mentor infrastructure, network, systems, and support teams. Establish and maintain IT policies, standards, documentation, change management processes, and operational best practices. Manage major technology incidents, root-cause analysis, and corrective action plans. Oversee technology vendors, contracts, licensing, budgets, and long-term infrastructure planning. Communicate technology performance, cybersecurity risks, and strategic initiatives to executive leadership. EHR & Application Support Partner with EHR and application leaders to ensure infrastructure effectively supports clinical and business systems. Maintain responsibility for the infrastructure, security, connectivity, storage, and availability supporting the enterprise EMR. Coordinate infrastructure changes and maintenance activities to minimize operational disruption. QUALIFICATIONS Bachelor's degree in information technology, Computer Science, Cybersecurity, Information Systems, Engineering, or a related field. 10+ years of progressive IT experience, including 5+ years in a leadership role. Healthcare IT experience preferred. Strong experience with on-premises data centers, Microsoft Hyper-V, Windows Server, Active Directory, Group Policy, and on-premises Exchange. Expertise in enterprise networking, FortiGate firewalls, VPNs, network segmentation, and multi-site infrastructure. Deep knowledge of cybersecurity, enterprise storage, backup and recovery, endpoint management, and infrastructure lifecycle management. Strong understanding of HIPAA security requirements and regulatory compliance. Proven ability to lead technical teams, manage budgets and vendors, oversee complex technology initiatives, and communicate effectively with executive leadership. WORK ENVIRONMENT Full-time, primarily office-based position. Occasional travel and after-hours availability may be required to support critical incidents, maintenance activities, and technology implementations. We Offer: Medical Insurance, Dental, & Vision Health Savings Account Flex Spending for child care Paid life insurance of $50,000 Paid Long Term Disability Insurance Voluntary Life Insurance Voluntary Short Term Disability Many Aflac Policies: Accident, Hospital, Critical Illness, Identity Theft, Legal Plan 401K - very generous plan the company contributes even if you do not PTO (Paid Time Off) - generous plan Compensation details: 00 Yearly Salary PI4e944ddd679c-7220
Job Description Overview Our client is seeking a Senior Infrastructure Engineer to support a large enterprise environment consisting of Microsoft technologies, virtualization platforms, networking infrastructure, cybersecurity tools, backup solutions, and collaboration platforms. This organization manages a large, complex public-sector environment supporting multiple locations, business units, and end users. The role is responsible for maintaining highly available infrastructure, strengthening security posture, supporting enterprise operations, and driving automation and continuous improvement initiatives. Important: Candidates must meet all minimum qualifications outlined below. A qualification verification form is required for every submission, and candidates who do not meet the minimum requirements cannot be considered. Required QualificationsExperience 4+ years Systems and Network administration experience Education Bachelor's degree in Computer Science, Information Systems, or a related field OR Four (4) additional years of qualifying experience beyond the minimum experience requirement in lieu of a degree Technical RequirementsMicrosoft Infrastructure Windows Server Administration Active Directory Microsoft Entra ID Microsoft 365 / Office 365 SharePoint Administration and Support Networking Core Protocols DNS DHCP SMTP HTTP/HTTPS SFTP Networking Hardware Cisco Meraki VPN Appliances Security CrowdStrike or similar enterprise endpoint security platform Network Security VPNs ACLs IPSec SSL Cybersecurity and Privacy Best Practices Nessus Splunk Collaboration Platforms Microsoft Teams Administration Zoom Administration SharePoint Support Website/Intranet Support Automation PowerShell Scripting Process Automation Administrative Script Development Virtualization & Cloud VMware Hyper-V Cloud Architecture Experience Backup & Recovery Rubrik Backup and Recovery Key Responsibilities Administer and support Windows Server, Active Directory, Entra ID, Microsoft 365, Teams, and SharePoint environments Support enterprise infrastructure across physical, virtual, and cloud-connected systems Manage VMware and Hyper-V environments Configure and support Cisco Meraki firewalls, switches, wireless infrastructure, and VPN connectivity Troubleshoot DNS, DHCP, routing, switching, and network connectivity issues Monitor infrastructure performance, availability, and security Administer security tools including CrowdStrike, Nessus, and Splunk Support vulnerability management and remediation efforts Manage enterprise backup and recovery operations using Rubrik Develop PowerShell scripts and automation solutions Perform root cause analysis and recommend long-term infrastructure improvements Create SOPs, technical documentation, and knowledge articles Provide Tier III support for escalated infrastructure, networking, and security issues Experience Level Expert Level Job Type & Location This is a Contract position based out of Monterey Park, CA. Pay and Benefits The pay range for this position is $80.00 - $95.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Monterey Park,CA. Application Deadline This position is anticipated to close on Aug 26, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
08/23/2026
Full time
Job Description Overview Our client is seeking a Senior Infrastructure Engineer to support a large enterprise environment consisting of Microsoft technologies, virtualization platforms, networking infrastructure, cybersecurity tools, backup solutions, and collaboration platforms. This organization manages a large, complex public-sector environment supporting multiple locations, business units, and end users. The role is responsible for maintaining highly available infrastructure, strengthening security posture, supporting enterprise operations, and driving automation and continuous improvement initiatives. Important: Candidates must meet all minimum qualifications outlined below. A qualification verification form is required for every submission, and candidates who do not meet the minimum requirements cannot be considered. Required QualificationsExperience 4+ years Systems and Network administration experience Education Bachelor's degree in Computer Science, Information Systems, or a related field OR Four (4) additional years of qualifying experience beyond the minimum experience requirement in lieu of a degree Technical RequirementsMicrosoft Infrastructure Windows Server Administration Active Directory Microsoft Entra ID Microsoft 365 / Office 365 SharePoint Administration and Support Networking Core Protocols DNS DHCP SMTP HTTP/HTTPS SFTP Networking Hardware Cisco Meraki VPN Appliances Security CrowdStrike or similar enterprise endpoint security platform Network Security VPNs ACLs IPSec SSL Cybersecurity and Privacy Best Practices Nessus Splunk Collaboration Platforms Microsoft Teams Administration Zoom Administration SharePoint Support Website/Intranet Support Automation PowerShell Scripting Process Automation Administrative Script Development Virtualization & Cloud VMware Hyper-V Cloud Architecture Experience Backup & Recovery Rubrik Backup and Recovery Key Responsibilities Administer and support Windows Server, Active Directory, Entra ID, Microsoft 365, Teams, and SharePoint environments Support enterprise infrastructure across physical, virtual, and cloud-connected systems Manage VMware and Hyper-V environments Configure and support Cisco Meraki firewalls, switches, wireless infrastructure, and VPN connectivity Troubleshoot DNS, DHCP, routing, switching, and network connectivity issues Monitor infrastructure performance, availability, and security Administer security tools including CrowdStrike, Nessus, and Splunk Support vulnerability management and remediation efforts Manage enterprise backup and recovery operations using Rubrik Develop PowerShell scripts and automation solutions Perform root cause analysis and recommend long-term infrastructure improvements Create SOPs, technical documentation, and knowledge articles Provide Tier III support for escalated infrastructure, networking, and security issues Experience Level Expert Level Job Type & Location This is a Contract position based out of Monterey Park, CA. Pay and Benefits The pay range for this position is $80.00 - $95.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Monterey Park,CA. Application Deadline This position is anticipated to close on Aug 26, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
Job Description Top Skills: Enterprise AI Architecture (Model gateways, Model routing, Shared AI services, Platform engineering, AI service abstraction layers, Multi-model strategies, Vendor portability, AI observability, Platform scalability, Tenant isolation, AI FinOps and cost controls) RAG and Knowledge Architecture Generative AI & Agentic AI Architecture Must have previous experience as an Architect implementing A.I into an Enterprise Environment Must have experience with Enterprise AI Platforms Enterprise Standards and Patterns Enterprise AI Strategy Target-State Architecture Architecture Governance Executive Influence Description The AI Enterprise Architect is responsible for defining, evolving, and driving the enterprise architecture for artificial intelligence across the environment. This is not a theoretical, advisory-only, or documentation-focused architecture role. The AI Enterprise Architect must be a hands-on technology leader who can move rapidly from an ambiguous business problem to an executable architecture, working reference implementation, production deployment, and measurable business outcome. The role operates at the intersection of enterprise architecture, AI engineering, data, security, cloud platforms, integration, product delivery, and business strategy. This individual will establish the enterprise direction for generative AI, agentic AI, machine learning, intelligent automation, AI-enabled applications, and shared AI platform capabilities. The AI Enterprise Architect will work within a Fortune 500 environment while supporting an AI program that operates with the urgency, experimentation, adaptability, and delivery expectations of a startup. The successful candidate must be comfortable making architecture decisions in a rapidly evolving technology landscape, challenging conventional approaches, eliminating unnecessary complexity, and personally driving initiatives through organizational and technical barriers. This individual must be capable of seeing the entire enterprise AI ecosystem while remaining close enough to implementation to validate architectures, examine code and configurations, build prototypes, identify delivery risks, and distinguish production-ready capabilities from demonstrations and vendor claims. Key Responsibilities Enterprise AI Strategy and Target Architecture • Define and maintain the enterprise AI target architecture, transition architectures, capability model, platform strategy, and multiyear architecture roadmap. • Translate business strategy and operating priorities into executable AI capabilities, architecture investments, and delivery sequences. • Establish the architectural direction for generative AI, agentic AI, machine learning, intelligent automation, AI-assisted decision-making, and AI-enabled business processes. • Define clear boundaries and relationships between enterprise AI platforms, domain solutions, shared services, data platforms, enterprise applications, and external AI providers. • Ensure that project-level AI decisions support enterprise scalability, interoperability, security, reuse, and long-term maintainability. • Identify opportunities to consolidate overlapping technologies, eliminate duplicated capabilities, and prevent uncontrolled AI platform and vendor sprawl. • Develop architecture options and recommendations that explicitly address business value, delivery speed, cost, risk, technical debt, vendor dependency, and operational complexity. • Maintain a current enterprise view of AI capabilities, platforms, models, agents, integrations, data dependencies, vendors, risks, and strategic initiatives. Hands-On AI Architecture and Delivery • Lead AI initiatives from problem definition and architecture through implementation, production deployment, adoption, and measurable outcomes. • Develop working prototypes and reference implementations to validate architecture decisions, platform capabilities, integration approaches, security controls, and delivery feasibility. • Review source code, prompts, agent definitions, tool configurations, retrieval pipelines, model configurations, APIs, infrastructure, and deployment pipelines as needed to validate solution quality. • Work directly with engineering teams to resolve architecture and implementation issues rather than limiting involvement to reviews or recommendations. • Rapidly diagnose delivery blockers, simplify overengineered approaches, reduce unnecessary scope, and establish practical paths to production. • Define production-readiness criteria and ensure that AI solutions meet requirements for reliability, security, performance, observability, supportability, cost, and business continuity. • Distinguish clearly between proof of concept, pilot, minimum viable product, production capability, and enterprise platform. • Remain personally accountable for architecture outcomes, not only architecture artifacts or review completion. Generative and Agentic AI Architecture • Design enterprise-grade architectures for large language models, multimodal models, AI assistants, autonomous and semi-autonomous agents, and AI-enabled applications. • Define patterns for single-agent and multi-agent orchestration, tool use, planning, reasoning, memory, state management, delegation, and human approval. • Establish architecture standards for retrieval-augmented generation, structured retrieval, knowledge graphs, semantic search, and enterprise knowledge access. • Define patterns for context engineering, prompt management, structured outputs, model routing, fallback, caching, and workload segmentation. • Architect secure agent access to enterprise systems, APIs, data, workflows, and external services. • Define patterns for Model Context Protocol, agent-to-agent communication, enterprise APIs, event-driven interactions, and tool integration. • Establish controls around nondeterministic model behavior, including deterministic validation, approval checkpoints, execution boundaries, and exception handling. • Evaluate when AI agents are appropriate and when conventional software, workflow automation, rules engines, APIs, or analytics provide a better solution. • Prevent the use of generative AI or agents where the architecture introduces unnecessary cost, risk, latency, or operational complexity. Enterprise AI Platform Architecture • Define the architecture for shared enterprise AI platform capabilities, including model access, model gateways, agent runtime services, retrieval services, evaluation services, security controls, observability, and cost management. • Establish reusable AI services, platform components, reference architectures, templates, development patterns, and deployment patterns. • Define enterprise model access, model selection, model portability, workload routing, quota management, and vendor abstraction strategies. • Design workload, tenant, domain, environment, and data isolation patterns appropriate to enterprise risk and operating requirements. • Establish architectural standards for proprietary, open-weight, hosted, and internally operated models. • Define integration patterns between AI platforms and enterprise cloud, data, identity, security, integration, application, and observability platforms. • Partner with platform engineering, cloud infrastructure, data, cybersecurity, and application teams to establish a scalable AI operating environment. • Ensure that platform capabilities are implemented as usable products and services rather than architecture concepts that delivery teams cannot practically adopt. Data and Knowledge Architecture • Define data and knowledge architecture required to support AI models, agents, applications, evaluation, analytics, and business processes. • Establish patterns for structured, semi-structured, and unstructured data access. • Define architectures using relational, document, graph, vector, search, streaming, and analytical technologies based on workload requirements. • Establish standards for embeddings, chunking, indexing, metadata, reranking, retrieval, source attribution, and information freshness. • Define approaches for enterprise taxonomies, ontologies, semantic models, knowledge graphs, and reusable domain knowledge. • Ensure appropriate data lineage, provenance, ownership, quality, classification, access control, retention, and usage restrictions. • Define requirements for training, fine-tuning, inference, retrieval, evaluation, monitoring, and feedback datasets. • Ensure that AI responses and actions can be traced to authoritative enterprise information where required. • Identify situations where weak data, fragmented ownership, or poor knowledge management must be corrected rather than hidden behind an AI interface. Integration and Distributed Systems Architecture • Define and enforce AI integration patterns across enterprise applications, cloud platforms, SaaS products, data platforms, APIs, workflows, and external services. • Architect synchronous and asynchronous APIs, event-driven interactions, messaging, streaming, workflow orchestration, and long-running business processes. • Establish standards for identity propagation, delegated authorization, agent identity, workload identity, and service-to-service authentication. • Define system-of-record ownership . click apply for full job details
08/23/2026
Full time
Job Description Top Skills: Enterprise AI Architecture (Model gateways, Model routing, Shared AI services, Platform engineering, AI service abstraction layers, Multi-model strategies, Vendor portability, AI observability, Platform scalability, Tenant isolation, AI FinOps and cost controls) RAG and Knowledge Architecture Generative AI & Agentic AI Architecture Must have previous experience as an Architect implementing A.I into an Enterprise Environment Must have experience with Enterprise AI Platforms Enterprise Standards and Patterns Enterprise AI Strategy Target-State Architecture Architecture Governance Executive Influence Description The AI Enterprise Architect is responsible for defining, evolving, and driving the enterprise architecture for artificial intelligence across the environment. This is not a theoretical, advisory-only, or documentation-focused architecture role. The AI Enterprise Architect must be a hands-on technology leader who can move rapidly from an ambiguous business problem to an executable architecture, working reference implementation, production deployment, and measurable business outcome. The role operates at the intersection of enterprise architecture, AI engineering, data, security, cloud platforms, integration, product delivery, and business strategy. This individual will establish the enterprise direction for generative AI, agentic AI, machine learning, intelligent automation, AI-enabled applications, and shared AI platform capabilities. The AI Enterprise Architect will work within a Fortune 500 environment while supporting an AI program that operates with the urgency, experimentation, adaptability, and delivery expectations of a startup. The successful candidate must be comfortable making architecture decisions in a rapidly evolving technology landscape, challenging conventional approaches, eliminating unnecessary complexity, and personally driving initiatives through organizational and technical barriers. This individual must be capable of seeing the entire enterprise AI ecosystem while remaining close enough to implementation to validate architectures, examine code and configurations, build prototypes, identify delivery risks, and distinguish production-ready capabilities from demonstrations and vendor claims. Key Responsibilities Enterprise AI Strategy and Target Architecture • Define and maintain the enterprise AI target architecture, transition architectures, capability model, platform strategy, and multiyear architecture roadmap. • Translate business strategy and operating priorities into executable AI capabilities, architecture investments, and delivery sequences. • Establish the architectural direction for generative AI, agentic AI, machine learning, intelligent automation, AI-assisted decision-making, and AI-enabled business processes. • Define clear boundaries and relationships between enterprise AI platforms, domain solutions, shared services, data platforms, enterprise applications, and external AI providers. • Ensure that project-level AI decisions support enterprise scalability, interoperability, security, reuse, and long-term maintainability. • Identify opportunities to consolidate overlapping technologies, eliminate duplicated capabilities, and prevent uncontrolled AI platform and vendor sprawl. • Develop architecture options and recommendations that explicitly address business value, delivery speed, cost, risk, technical debt, vendor dependency, and operational complexity. • Maintain a current enterprise view of AI capabilities, platforms, models, agents, integrations, data dependencies, vendors, risks, and strategic initiatives. Hands-On AI Architecture and Delivery • Lead AI initiatives from problem definition and architecture through implementation, production deployment, adoption, and measurable outcomes. • Develop working prototypes and reference implementations to validate architecture decisions, platform capabilities, integration approaches, security controls, and delivery feasibility. • Review source code, prompts, agent definitions, tool configurations, retrieval pipelines, model configurations, APIs, infrastructure, and deployment pipelines as needed to validate solution quality. • Work directly with engineering teams to resolve architecture and implementation issues rather than limiting involvement to reviews or recommendations. • Rapidly diagnose delivery blockers, simplify overengineered approaches, reduce unnecessary scope, and establish practical paths to production. • Define production-readiness criteria and ensure that AI solutions meet requirements for reliability, security, performance, observability, supportability, cost, and business continuity. • Distinguish clearly between proof of concept, pilot, minimum viable product, production capability, and enterprise platform. • Remain personally accountable for architecture outcomes, not only architecture artifacts or review completion. Generative and Agentic AI Architecture • Design enterprise-grade architectures for large language models, multimodal models, AI assistants, autonomous and semi-autonomous agents, and AI-enabled applications. • Define patterns for single-agent and multi-agent orchestration, tool use, planning, reasoning, memory, state management, delegation, and human approval. • Establish architecture standards for retrieval-augmented generation, structured retrieval, knowledge graphs, semantic search, and enterprise knowledge access. • Define patterns for context engineering, prompt management, structured outputs, model routing, fallback, caching, and workload segmentation. • Architect secure agent access to enterprise systems, APIs, data, workflows, and external services. • Define patterns for Model Context Protocol, agent-to-agent communication, enterprise APIs, event-driven interactions, and tool integration. • Establish controls around nondeterministic model behavior, including deterministic validation, approval checkpoints, execution boundaries, and exception handling. • Evaluate when AI agents are appropriate and when conventional software, workflow automation, rules engines, APIs, or analytics provide a better solution. • Prevent the use of generative AI or agents where the architecture introduces unnecessary cost, risk, latency, or operational complexity. Enterprise AI Platform Architecture • Define the architecture for shared enterprise AI platform capabilities, including model access, model gateways, agent runtime services, retrieval services, evaluation services, security controls, observability, and cost management. • Establish reusable AI services, platform components, reference architectures, templates, development patterns, and deployment patterns. • Define enterprise model access, model selection, model portability, workload routing, quota management, and vendor abstraction strategies. • Design workload, tenant, domain, environment, and data isolation patterns appropriate to enterprise risk and operating requirements. • Establish architectural standards for proprietary, open-weight, hosted, and internally operated models. • Define integration patterns between AI platforms and enterprise cloud, data, identity, security, integration, application, and observability platforms. • Partner with platform engineering, cloud infrastructure, data, cybersecurity, and application teams to establish a scalable AI operating environment. • Ensure that platform capabilities are implemented as usable products and services rather than architecture concepts that delivery teams cannot practically adopt. Data and Knowledge Architecture • Define data and knowledge architecture required to support AI models, agents, applications, evaluation, analytics, and business processes. • Establish patterns for structured, semi-structured, and unstructured data access. • Define architectures using relational, document, graph, vector, search, streaming, and analytical technologies based on workload requirements. • Establish standards for embeddings, chunking, indexing, metadata, reranking, retrieval, source attribution, and information freshness. • Define approaches for enterprise taxonomies, ontologies, semantic models, knowledge graphs, and reusable domain knowledge. • Ensure appropriate data lineage, provenance, ownership, quality, classification, access control, retention, and usage restrictions. • Define requirements for training, fine-tuning, inference, retrieval, evaluation, monitoring, and feedback datasets. • Ensure that AI responses and actions can be traced to authoritative enterprise information where required. • Identify situations where weak data, fragmented ownership, or poor knowledge management must be corrected rather than hidden behind an AI interface. Integration and Distributed Systems Architecture • Define and enforce AI integration patterns across enterprise applications, cloud platforms, SaaS products, data platforms, APIs, workflows, and external services. • Architect synchronous and asynchronous APIs, event-driven interactions, messaging, streaming, workflow orchestration, and long-running business processes. • Establish standards for identity propagation, delegated authorization, agent identity, workload identity, and service-to-service authentication. • Define system-of-record ownership . click apply for full job details
