Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
05/14/2026
Full time
Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Instructor Pool UX Design, UI Design, and UX Research UC Berkeley Extension Position overview Position title: Instructor (Non-Senate, Non-Tenure Track) Salary range: The compensation model varies depending upon the course delivery format. For a synchronous Live Online course, a reasonable estimate for this position is $1,500 - $3,600 total per course. For an asynchronous Fixed Date Online course, this position is paid $150 - $170 per enrolled student and a reasonable estimate ranges from $1,200 - $3,400 total per course. Compensation may be shared among co-instructors depending upon the percentage of course content that each co-instructor teaches. Instructor compensation is determined by course length, number of units, enrollment, budgetary considerations, and other factors. Percent time: Part-time by agreement on a course-by-course basis. Anticipated start: Some appointments may begin as early as the spring semester. Review timeline: Applicants are considered for positions as needs arise; the existence of this applicant pool does not guarantee that a position is available. The applicant pool will remain in place for 9-12 months; those interested in remaining in the applicant pool beyond the advertised final closing date must reapply. Position duration: Length of courses differs depending on the subject, level, format/schedule, and credits taught. For the fall, spring, and summer semesters, course length typically ranges from approximately 6 to 12 weeks. Further course agreements may be assigned based upon program needs, meritorious performance, and funding availability. Application Window Open date: August 27, 2025 Next review date: Tuesday, Jan 20, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Wednesday, Aug 26, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute. UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in UX Design, UI Design, and UX Research to teach one or more online courses each year for our Arts and Humanities department. Courses are offered online: Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom). Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time). Course Subjects We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below. User Experience and User Interface (UX-UI) Design Accessibility in UX Design Algorithmic Thinking & System Flows Content Design Diagramming and Prototyping for UX Essentials of User Experience (UX) Design Information Architecture User-Interface (UI) Design UX Design Portfolio UX for Emerging Technologies: Augmented Reality (AR), Mixed Reality (MR), and Artificial Intelligence (AI) UI for Emerging Technologies: Voice User Interface (VUIs) User Research Methods Qualitative User Research for UX Quantitative User Research for UX Other UX-UI Design and UX Research Related Topics (please specify in your cover letter) General Duties The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom) or Asynchronous Online (Fixed Date). For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction. For asynchronous instruction (fixed date online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director. For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner. UX-UI Design and UX Research Program and Courses: Qualifications Basic qualifications (required at time of application) Bachelor's degree or equivalent international degree required. Additional qualifications (required at time of start) 5 or more years of professional industry work experience since degree, or 5 or more years of teaching experience since degree. U.S.A. Residency and U.S.A. Work Authorization: All work must be performed in the United States, whether in person or online. For applicants who are not US citizens or permanent residents, a valid US work authorization is required for the duration of employment. Applicants should not expect the department to sponsor a work visa on their behalf. Preferred qualifications Advanced degree in UX Design preferred. 5 or more years of professional industry work experience in UX design, artificial intelligence (AI), voice design, web design or development, product design, graphic design, interaction design, human computer interaction, human ergonomics, computer science, engineering/programming, cognitive science, psychology, anthropology, or sociology. Experience in User Research Methods (quantitative/qualitative). Proficiency in design thinking methodologies and their application to user-centered design challenges. Proficiency in one of the following for design tools: Figma, InVision, Miro, Mural, UXPin, or AI apps and plugins. Proficiency in Augmented Reality (AR), Mixed Reality (MR) and Virtual Reality (VR) Proficiency in one of the following for Voice User Interface (VUI) design courses: Voiceflow, Alexa Skill Kit (ASK), Action Builder (for Google Assistant), Mycroft, Web Speech API, etc. Experience writing technical content and project specs. Knowledge of existing and new technologies and constraints, including knowledge of artificial intelligence and its integration with user experience design. Teaching, training or coaching experience in the course subject, within a U.S. corporate environment or at a U.S. college/university institution. Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes. Experience teaching online and/or developing academic content for online courses. Ability to convey conceptual and complex ideas and information. Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Effective verbal/written communication and presentation skills (English). Effective organizational skills with attention to detail. Ability to collaborate with colleagues and work within a team environment Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc). Application Requirements . click apply for full job details
01/14/2026
Full time
Instructor Pool UX Design, UI Design, and UX Research UC Berkeley Extension Position overview Position title: Instructor (Non-Senate, Non-Tenure Track) Salary range: The compensation model varies depending upon the course delivery format. For a synchronous Live Online course, a reasonable estimate for this position is $1,500 - $3,600 total per course. For an asynchronous Fixed Date Online course, this position is paid $150 - $170 per enrolled student and a reasonable estimate ranges from $1,200 - $3,400 total per course. Compensation may be shared among co-instructors depending upon the percentage of course content that each co-instructor teaches. Instructor compensation is determined by course length, number of units, enrollment, budgetary considerations, and other factors. Percent time: Part-time by agreement on a course-by-course basis. Anticipated start: Some appointments may begin as early as the spring semester. Review timeline: Applicants are considered for positions as needs arise; the existence of this applicant pool does not guarantee that a position is available. The applicant pool will remain in place for 9-12 months; those interested in remaining in the applicant pool beyond the advertised final closing date must reapply. Position duration: Length of courses differs depending on the subject, level, format/schedule, and credits taught. For the fall, spring, and summer semesters, course length typically ranges from approximately 6 to 12 weeks. Further course agreements may be assigned based upon program needs, meritorious performance, and funding availability. Application Window Open date: August 27, 2025 Next review date: Tuesday, Jan 20, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Wednesday, Aug 26, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute. UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in UX Design, UI Design, and UX Research to teach one or more online courses each year for our Arts and Humanities department. Courses are offered online: Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom). Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time). Course Subjects We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below. User Experience and User Interface (UX-UI) Design Accessibility in UX Design Algorithmic Thinking & System Flows Content Design Diagramming and Prototyping for UX Essentials of User Experience (UX) Design Information Architecture User-Interface (UI) Design UX Design Portfolio UX for Emerging Technologies: Augmented Reality (AR), Mixed Reality (MR), and Artificial Intelligence (AI) UI for Emerging Technologies: Voice User Interface (VUIs) User Research Methods Qualitative User Research for UX Quantitative User Research for UX Other UX-UI Design and UX Research Related Topics (please specify in your cover letter) General Duties The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom) or Asynchronous Online (Fixed Date). For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction. For asynchronous instruction (fixed date online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director. For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner. UX-UI Design and UX Research Program and Courses: Qualifications Basic qualifications (required at time of application) Bachelor's degree or equivalent international degree required. Additional qualifications (required at time of start) 5 or more years of professional industry work experience since degree, or 5 or more years of teaching experience since degree. U.S.A. Residency and U.S.A. Work Authorization: All work must be performed in the United States, whether in person or online. For applicants who are not US citizens or permanent residents, a valid US work authorization is required for the duration of employment. Applicants should not expect the department to sponsor a work visa on their behalf. Preferred qualifications Advanced degree in UX Design preferred. 5 or more years of professional industry work experience in UX design, artificial intelligence (AI), voice design, web design or development, product design, graphic design, interaction design, human computer interaction, human ergonomics, computer science, engineering/programming, cognitive science, psychology, anthropology, or sociology. Experience in User Research Methods (quantitative/qualitative). Proficiency in design thinking methodologies and their application to user-centered design challenges. Proficiency in one of the following for design tools: Figma, InVision, Miro, Mural, UXPin, or AI apps and plugins. Proficiency in Augmented Reality (AR), Mixed Reality (MR) and Virtual Reality (VR) Proficiency in one of the following for Voice User Interface (VUI) design courses: Voiceflow, Alexa Skill Kit (ASK), Action Builder (for Google Assistant), Mycroft, Web Speech API, etc. Experience writing technical content and project specs. Knowledge of existing and new technologies and constraints, including knowledge of artificial intelligence and its integration with user experience design. Teaching, training or coaching experience in the course subject, within a U.S. corporate environment or at a U.S. college/university institution. Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes. Experience teaching online and/or developing academic content for online courses. Ability to convey conceptual and complex ideas and information. Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Effective verbal/written communication and presentation skills (English). Effective organizational skills with attention to detail. Ability to collaborate with colleagues and work within a team environment Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc). Application Requirements . click apply for full job details
Job Description: This position requires office presence of a minimum of 5 days per week and is only located at the customer's site. AT&T Global Public Sector is a trusted provider of secure, IP enabled, cloud-based, network solutions and professional services to the Federal Government. We are dedicated to recruiting, developing and empowering a diverse, high-performing workforce that is passionate about what they do, committed to our shared values and dedicated to our customers' mission. Our National Security Team supports the intelligence community, providing, operating, and assuring critical voice, video and collaboration services for the full spectrum of operations. AT&T has an opening for a Tier 2 Network Engineer to support the 24x7 Network Operations Center in providing Tier 2 network monitoring and service. Job Duties/Responsibilities: Provide Tier 2 support to an organization's local area network (LAN), wide area network (WAN), customer networks, Intranet and Internet and other data communications systems or a segment of a network system. Plan, coordinate, and implement network security measures in order to protect data, software, and hardware. Review user requests for upgrades or additions to the network to assess impact on network performance and provide advice and guidance on the most practical technical approach to meeting user requirements. Apply software, hardware, and standard information technology skills in the analysis, specification, development, integration, and acquisition of open systems for Information Management (IM) applications. Ensure these systems and applications are compliant with standards for open systems architectures, reference models, and profiles of standards - such as the IEEE Open Systems Environment (OSE) reference model - as they apply to the implementation and specification of IM solutions on the application platform, across the application program interface (API), and the external environment/software application. Evaluate and recommend COTS applications and methodologies that can be acquired to provide interoperable, portable, and scalable information technology solutions. Perform analysis and validation of reusable software and hardware components to ensure the integration of these components into interpretable IM designs Required Clearance: TSSCI with poly () () Required Qualifications: Candidate must have hands on troubleshooting and fault isolation of IT business systems. Applicant must have a strong understanding of the OSI model and configuration of routing protocols such as EIGRP, OSPF, MPLS, BGP, and LDP. This position requires all personnel to work a shift schedule that includes weekend and holiday work. Night shift: 6pm-6am, 4 days per week (New candidates will work day shift for approximately 6-8 weeks while training.) Candidate must have a total of 10 years of applicable experience. The experience can be a combination of degree and work history. This can be a High School degree and 10 years of work history OR an Associate's and 8 years, a Bachelors' and 6 years, a Masters and 4 years or a PhD and 2 years of relevant work history. Desired Qualifications: Cisco CCNA, CCNP, CCIE, Juniper JNCIA, JNCIS, or JNCIE, ITIL Foundations, and/or CISSP. Our Tier 2 Network Engineer' s earn between $79,300 - $175,207. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. Joining our team comes with amazing perks and benefits: Medical/Dental/Vision coverage 401(k) plan Tuition reimbursement program Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) Paid Parental Leave Paid Caregiver Leave Additional sick leave beyond what state and local law require may be available but is unprotected Adoption Reimbursement Disability Benefits (short term and long term) Life and Accidental Death Insurance Supplemental benefit programs: critical illness/accident hospital indemnity/group legal Employee Assistance Programs (EAP) Extensive employee wellness programs Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone Weekly Hours: 40 Time Type: Regular Location: Culpeper, Virginia It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
01/05/2026
Full time
Job Description: This position requires office presence of a minimum of 5 days per week and is only located at the customer's site. AT&T Global Public Sector is a trusted provider of secure, IP enabled, cloud-based, network solutions and professional services to the Federal Government. We are dedicated to recruiting, developing and empowering a diverse, high-performing workforce that is passionate about what they do, committed to our shared values and dedicated to our customers' mission. Our National Security Team supports the intelligence community, providing, operating, and assuring critical voice, video and collaboration services for the full spectrum of operations. AT&T has an opening for a Tier 2 Network Engineer to support the 24x7 Network Operations Center in providing Tier 2 network monitoring and service. Job Duties/Responsibilities: Provide Tier 2 support to an organization's local area network (LAN), wide area network (WAN), customer networks, Intranet and Internet and other data communications systems or a segment of a network system. Plan, coordinate, and implement network security measures in order to protect data, software, and hardware. Review user requests for upgrades or additions to the network to assess impact on network performance and provide advice and guidance on the most practical technical approach to meeting user requirements. Apply software, hardware, and standard information technology skills in the analysis, specification, development, integration, and acquisition of open systems for Information Management (IM) applications. Ensure these systems and applications are compliant with standards for open systems architectures, reference models, and profiles of standards - such as the IEEE Open Systems Environment (OSE) reference model - as they apply to the implementation and specification of IM solutions on the application platform, across the application program interface (API), and the external environment/software application. Evaluate and recommend COTS applications and methodologies that can be acquired to provide interoperable, portable, and scalable information technology solutions. Perform analysis and validation of reusable software and hardware components to ensure the integration of these components into interpretable IM designs Required Clearance: TSSCI with poly () () Required Qualifications: Candidate must have hands on troubleshooting and fault isolation of IT business systems. Applicant must have a strong understanding of the OSI model and configuration of routing protocols such as EIGRP, OSPF, MPLS, BGP, and LDP. This position requires all personnel to work a shift schedule that includes weekend and holiday work. Night shift: 6pm-6am, 4 days per week (New candidates will work day shift for approximately 6-8 weeks while training.) Candidate must have a total of 10 years of applicable experience. The experience can be a combination of degree and work history. This can be a High School degree and 10 years of work history OR an Associate's and 8 years, a Bachelors' and 6 years, a Masters and 4 years or a PhD and 2 years of relevant work history. Desired Qualifications: Cisco CCNA, CCNP, CCIE, Juniper JNCIA, JNCIS, or JNCIE, ITIL Foundations, and/or CISSP. Our Tier 2 Network Engineer' s earn between $79,300 - $175,207. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. Joining our team comes with amazing perks and benefits: Medical/Dental/Vision coverage 401(k) plan Tuition reimbursement program Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) Paid Parental Leave Paid Caregiver Leave Additional sick leave beyond what state and local law require may be available but is unprotected Adoption Reimbursement Disability Benefits (short term and long term) Life and Accidental Death Insurance Supplemental benefit programs: critical illness/accident hospital indemnity/group legal Employee Assistance Programs (EAP) Extensive employee wellness programs Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone Weekly Hours: 40 Time Type: Regular Location: Culpeper, Virginia It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.