This position leverages expertise in system administration to maintain systems critical to GSOC's system operations function. As a member of the Systems and Infrastructure department, this position is responsible for the system administration of the Operational Technology systems. This position ensures the security and operational readiness of technology to support GSOC's real-time transmission and generation operations. This position will perform system administration on Operational Technology using best practices, such as installation, patching, backup/recovery, system performance monitoring, and implementation of cyber security system hardening guidelines. Maintains awareness of NERC Reliability standards including Critical Infrastructure Protection Standards. Responsible for compliance with all applicable laws, regulations, industry standards, corporate policies, guidelines and procedures, including but not limited to, RUS, OSHA, NERC, FERC and ITS requirements. Promotes an environment of security, compliance, and continuous improvement to meet the Corporation's goals and objectives. Additional responsibilities include implementation and management of infrastructure tools to provide system configuration consistency, development of processes and documentation to support systems management activities, participating in the Change Management Program, and collection of necessary evidence for NERC CIP compliance. Coordinates with other departments within GSOC including Control Center operations team, Energy Management System Application teams, Security, Networking, and Enterprise IT teams. Coordinates across companies with GTC and OPC operations and maintenance departments. This role will participate in the on-call 24x7 support rotation. Job Duties: All Levels: Develops and maintains components of GSOC's Operational Technology physical/virtual server environment including hypervisors and storage components. Identifies opportunities for operational process improvements, including documentation, automation, and training. Maintain and identify improvements to GSOC's System and Infrastructure Program. Develops, documents, and implements processes and procedures to effectively perform system administration activities in a consistent manner. Identification, researching, and implementing new technologies that operate GSOC's Operational Technology environment to enhance infrastructure security posture. Works with internal and industry peers to explore innovative solutions and evaluate emerging technologies. Works with existing technology vendors to coordinate product support and subscription renewals. Use GSOC procurement process to submit purchasing documentation to management. Collaborates with other functional departments including GSOC System Operations, Networking, Security, and Enterprise IT on initiatives and projects that ensure systems and infrastructure are being designed, built, and maintained in compliance with NERC CIP standards and GSOC's cyber security policies and procedures. Serves as project engineer for Power Technology projects. Provides technical contribution to the project team and provides accountability for meeting projected milestones and deadlines to the management team. Identifies opportunities for operational process improvements, including documentation, automation, and training. Level I-II: Performs routine system administration activities, such as installation, commissioning, patching, system performance monitoring of GSOC's operational technology infrastructure under direct supervision. Level III: Performs routine system administration activities, such as installation, commissioning, patching, system performance monitoring of GSOC's operational technology infrastructure with minimal supervision. Levels IV- V: Serves as technical lead for routine system administration activities, such as installation, commissioning, patching, system performance monitoring of GSOC's operational technology infrastructure. Serves as lead project engineer for Power Technology projects. Provides technical contribution to the project team and provides accountability for meeting projected milestones and deadlines to the management team. Provides training, mentoring, and assistance to junior staff members related to department processes, tools, and technologies. Works with existing technology vendors to coordinate product support and subscription renewals. Routinely collaborate with the management team to identify gaps and perform root cause analysis, consult on budgetary items, and promote corporate goals. Level V: Serves as lead department engineer and provides training, mentoring, and assistance to junior/senior staff members related to department processes, tools, and technologies. Technical leader across multiple subject areas, which could include system administration, security, networking, EMS, or SCADA. Actively seeks improvements to department processes, policies, procedures. Works across multiple business units within the organization to solve complex problems. Required Qualifications: Education: Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Electrical or Computer Engineering Experience: Level I: 0 to 24 months work experience in a system administration, cyber security, or related position. Experience designing, configuring, and maintaining datacenter server environments, including storage, networking, or cloud. Experience performing system hardening, patch management, and configuration management. Experience evaluating and implementing system administration tools or automation platforms to assist with deployment or maintenance of datacenter systems. Level II: 2+ years work experience as stated above. Level III: 4+ years work experience as stated above. Level IV: 6+ years work experience as stated above. Level V: 8+ years work experience as stated above. Equivalent Education & Experience: Level I: Associate's Degree in Computer Science, Information Systems, Software Engineering, Electrical Engineering or Computer Engineering AND Four (4) plus years of operational technology or real time systems experience with responsibilities related to system administration, such as system hardening, patch management, configuration management, incident response, or backup/recovery. Level II: Associate's Degree in Computer Science, Information Systems, Software Engineering, Electrical or Computer Engineering AND 6+ years of experience as stated above. Level III: Associate's Degree in Computer Science, Information Systems, Software Engineering, Electrical or Computer Engineering AND 8+ years of experience as stated above. Level IV: Associate's Degree in Computer Science, Information Systems, Software Engineering, Electrical or Computer Engineering AND 10+ years of experience as stated above. Level V: Associate's Degree in Computer Science, Information Systems, Software Engineering, Electrical or Computer Engineering AND 12+ years of experience as stated above. Licenses, Certifications and/or Registrations: CISSP, GCIP, MCSA, MCSE, NCP-MCI desired, not required. Specialized Skills: Experience in Security Patch Management, Configuration Monitoring, System Performance Monitoring, Backup and Recovery, Disaster Recovery, and Incident Response is desired Experience in providing 24x7 support for real-time data communications systems and troubleshooting system problems involving real-time data communications systems desired Experience with datacenter infrastructure technology, such as virtualization, Hyper Converged Infrastructure (HCI), storage, firewalls, enterprise backup and recovery solutions, and zero trust network architecture desired Understanding of ITIL-based Incident, Asset, and Change Management systems to document work performed. Previous experience with technologies such as ManageEngine/ServiceDesk Plus, Ivanti Service Manager, or ServiceNow is a plus Experience with Windows Server/Workstation administration, SQL Server administration, Linux administration desired Knowledge and experience with database technologies, such as Microsoft SQL, Oracle, or MySQL is preferred Excellent organizational skills and customer/team communications skills are needed to be successful. Must have strong verbal and written communication. Promotes an environment of compliance and continuous improvement. Must be able to pass NERC CIP PRA (Personal Risk Assessment) screening. Unusual Hours: Provide emergency coverage in support of Incident Response activities. Rotational on-call responsibilities. Travel: 10% Georgia System Operations Corporation is an Equal Employment Opportunity Employer, including veterans and disabled. We are a drug-free workplace. All applicants are subject to substance abuse testing.
04/02/2026
Full time
This position leverages expertise in system administration to maintain systems critical to GSOC's system operations function. As a member of the Systems and Infrastructure department, this position is responsible for the system administration of the Operational Technology systems. This position ensures the security and operational readiness of technology to support GSOC's real-time transmission and generation operations. This position will perform system administration on Operational Technology using best practices, such as installation, patching, backup/recovery, system performance monitoring, and implementation of cyber security system hardening guidelines. Maintains awareness of NERC Reliability standards including Critical Infrastructure Protection Standards. Responsible for compliance with all applicable laws, regulations, industry standards, corporate policies, guidelines and procedures, including but not limited to, RUS, OSHA, NERC, FERC and ITS requirements. Promotes an environment of security, compliance, and continuous improvement to meet the Corporation's goals and objectives. Additional responsibilities include implementation and management of infrastructure tools to provide system configuration consistency, development of processes and documentation to support systems management activities, participating in the Change Management Program, and collection of necessary evidence for NERC CIP compliance. Coordinates with other departments within GSOC including Control Center operations team, Energy Management System Application teams, Security, Networking, and Enterprise IT teams. Coordinates across companies with GTC and OPC operations and maintenance departments. This role will participate in the on-call 24x7 support rotation. Job Duties: All Levels: Develops and maintains components of GSOC's Operational Technology physical/virtual server environment including hypervisors and storage components. Identifies opportunities for operational process improvements, including documentation, automation, and training. Maintain and identify improvements to GSOC's System and Infrastructure Program. Develops, documents, and implements processes and procedures to effectively perform system administration activities in a consistent manner. Identification, researching, and implementing new technologies that operate GSOC's Operational Technology environment to enhance infrastructure security posture. Works with internal and industry peers to explore innovative solutions and evaluate emerging technologies. Works with existing technology vendors to coordinate product support and subscription renewals. Use GSOC procurement process to submit purchasing documentation to management. Collaborates with other functional departments including GSOC System Operations, Networking, Security, and Enterprise IT on initiatives and projects that ensure systems and infrastructure are being designed, built, and maintained in compliance with NERC CIP standards and GSOC's cyber security policies and procedures. Serves as project engineer for Power Technology projects. Provides technical contribution to the project team and provides accountability for meeting projected milestones and deadlines to the management team. Identifies opportunities for operational process improvements, including documentation, automation, and training. Level I-II: Performs routine system administration activities, such as installation, commissioning, patching, system performance monitoring of GSOC's operational technology infrastructure under direct supervision. Level III: Performs routine system administration activities, such as installation, commissioning, patching, system performance monitoring of GSOC's operational technology infrastructure with minimal supervision. Levels IV- V: Serves as technical lead for routine system administration activities, such as installation, commissioning, patching, system performance monitoring of GSOC's operational technology infrastructure. Serves as lead project engineer for Power Technology projects. Provides technical contribution to the project team and provides accountability for meeting projected milestones and deadlines to the management team. Provides training, mentoring, and assistance to junior staff members related to department processes, tools, and technologies. Works with existing technology vendors to coordinate product support and subscription renewals. Routinely collaborate with the management team to identify gaps and perform root cause analysis, consult on budgetary items, and promote corporate goals. Level V: Serves as lead department engineer and provides training, mentoring, and assistance to junior/senior staff members related to department processes, tools, and technologies. Technical leader across multiple subject areas, which could include system administration, security, networking, EMS, or SCADA. Actively seeks improvements to department processes, policies, procedures. Works across multiple business units within the organization to solve complex problems. Required Qualifications: Education: Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Electrical or Computer Engineering Experience: Level I: 0 to 24 months work experience in a system administration, cyber security, or related position. Experience designing, configuring, and maintaining datacenter server environments, including storage, networking, or cloud. Experience performing system hardening, patch management, and configuration management. Experience evaluating and implementing system administration tools or automation platforms to assist with deployment or maintenance of datacenter systems. Level II: 2+ years work experience as stated above. Level III: 4+ years work experience as stated above. Level IV: 6+ years work experience as stated above. Level V: 8+ years work experience as stated above. Equivalent Education & Experience: Level I: Associate's Degree in Computer Science, Information Systems, Software Engineering, Electrical Engineering or Computer Engineering AND Four (4) plus years of operational technology or real time systems experience with responsibilities related to system administration, such as system hardening, patch management, configuration management, incident response, or backup/recovery. Level II: Associate's Degree in Computer Science, Information Systems, Software Engineering, Electrical or Computer Engineering AND 6+ years of experience as stated above. Level III: Associate's Degree in Computer Science, Information Systems, Software Engineering, Electrical or Computer Engineering AND 8+ years of experience as stated above. Level IV: Associate's Degree in Computer Science, Information Systems, Software Engineering, Electrical or Computer Engineering AND 10+ years of experience as stated above. Level V: Associate's Degree in Computer Science, Information Systems, Software Engineering, Electrical or Computer Engineering AND 12+ years of experience as stated above. Licenses, Certifications and/or Registrations: CISSP, GCIP, MCSA, MCSE, NCP-MCI desired, not required. Specialized Skills: Experience in Security Patch Management, Configuration Monitoring, System Performance Monitoring, Backup and Recovery, Disaster Recovery, and Incident Response is desired Experience in providing 24x7 support for real-time data communications systems and troubleshooting system problems involving real-time data communications systems desired Experience with datacenter infrastructure technology, such as virtualization, Hyper Converged Infrastructure (HCI), storage, firewalls, enterprise backup and recovery solutions, and zero trust network architecture desired Understanding of ITIL-based Incident, Asset, and Change Management systems to document work performed. Previous experience with technologies such as ManageEngine/ServiceDesk Plus, Ivanti Service Manager, or ServiceNow is a plus Experience with Windows Server/Workstation administration, SQL Server administration, Linux administration desired Knowledge and experience with database technologies, such as Microsoft SQL, Oracle, or MySQL is preferred Excellent organizational skills and customer/team communications skills are needed to be successful. Must have strong verbal and written communication. Promotes an environment of compliance and continuous improvement. Must be able to pass NERC CIP PRA (Personal Risk Assessment) screening. Unusual Hours: Provide emergency coverage in support of Incident Response activities. Rotational on-call responsibilities. Travel: 10% Georgia System Operations Corporation is an Equal Employment Opportunity Employer, including veterans and disabled. We are a drug-free workplace. All applicants are subject to substance abuse testing.
AI Applications Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107213 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams(ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting not primary. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary) plus experience with Node.js/Next.js/React/TypeScript and Java; demonstrated ability to quickly learn new tools/frameworks. Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, CrewAI/AutoGen. Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Hybrid search & reranking (BM25+dense, Cohere/Voyage/Jina rerankers), synthetic data generation, provenance/watermarking. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Certifications and Licenses: Required: One of (or equivalent experience with): Google/AWS/Azure ML/AI certifications or strong demonstrable portfolio of production AI systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts, and more. Redwood City. Our new Stanford Redwood City campus, opened in 2019, will be the workplace for approximately 2 . click apply for full job details
01/14/2026
Full time
AI Applications Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107213 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams(ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting not primary. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary) plus experience with Node.js/Next.js/React/TypeScript and Java; demonstrated ability to quickly learn new tools/frameworks. Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, CrewAI/AutoGen. Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Hybrid search & reranking (BM25+dense, Cohere/Voyage/Jina rerankers), synthetic data generation, provenance/watermarking. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Certifications and Licenses: Required: One of (or equivalent experience with): Google/AWS/Azure ML/AI certifications or strong demonstrable portfolio of production AI systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts, and more. Redwood City. Our new Stanford Redwood City campus, opened in 2019, will be the workplace for approximately 2 . click apply for full job details
AI Data Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107222 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Data Engineering & EDA: Build and optimize data ingestion, transformation, and quality pipelines. Conduct exploratory data analysis (EDA) to surface patterns, anomalies, and insights that inform AI models and decision-making. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Enterprise Data Understanding: Strong knowledge of enterprise systems (ServiceNow, Salesforce, Oracle Financials, etc.) and how to extract, transform, and analyze data from them. Data Engineering & Analysis: Proficiency in building data pipelines, conducting exploratory data analysis (EDA), profiling datasets, and preparing features for ML/AI use cases. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary), with experience in SQL and one or more general-purpose languages (Java, Node.js, or TypeScript). Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, and CrewAI/AutoGen Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Advanced Data Techniques: Hybrid search/reranking, synthetic data generation, provenance/watermarking, dataset drift detection. Certifications and Licenses: Required: One or more certifications in Google, AWS, or Azure AI/ML, or equivalent demonstrable portfolio of production AI/data systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. . click apply for full job details
01/14/2026
Full time
AI Data Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107222 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Data Engineering & EDA: Build and optimize data ingestion, transformation, and quality pipelines. Conduct exploratory data analysis (EDA) to surface patterns, anomalies, and insights that inform AI models and decision-making. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Enterprise Data Understanding: Strong knowledge of enterprise systems (ServiceNow, Salesforce, Oracle Financials, etc.) and how to extract, transform, and analyze data from them. Data Engineering & Analysis: Proficiency in building data pipelines, conducting exploratory data analysis (EDA), profiling datasets, and preparing features for ML/AI use cases. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary), with experience in SQL and one or more general-purpose languages (Java, Node.js, or TypeScript). Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, and CrewAI/AutoGen Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Advanced Data Techniques: Hybrid search/reranking, synthetic data generation, provenance/watermarking, dataset drift detection. Certifications and Licenses: Required: One or more certifications in Google, AWS, or Azure AI/ML, or equivalent demonstrable portfolio of production AI/data systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. . click apply for full job details
Job Description: 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 an NMS ServiceNow Senior Software Designer: To support a key program in AT&T's National Security business segment. The NMS IT Software Designer will provide expert knowledge of network management systems, operating systems, commercial software, government software, and full integration of toolsets and servers. This position requires office presence a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. Description of Job Duties/Responsibilities: Compliance with Department of Defense (DoD) 8140.03 (8570) Information Assurance Technical (IAT) Level 2. Oversee and guide team members in the deployment, administration, development, and integration of the ServiceNow suite of tools on RHEL and Windows operating systems, while facilitating collaboration with database developers on MariaDB requirements. Lead the team in utilizing Agile, Scrum, and SDLC methodologies to coordinate, track, and deliver projects efficiently, fostering a culture of continuous improvement and accountability. Coordinate closely with Project Managers and Technical Leads, ensuring clear communication of team progress, risks, and technical challenges. Direct integration efforts with Cisco Network Services Orchestrator, GOTS, and other enterprise tools, assigning integration tasks and ensuring successful outcomes. Oversee the creation and maintenance of technical documentation by the team, ensuring accuracy and completeness for operations users and providing user handoff training as needed. Monitor the team's efforts to maintain IT system and application performance/availability while responding proactively to emerging issues. Lead the team in hardening and securing systems, supporting Risk Management Framework (RMF) authorization and accreditation (A&A) efforts, and ensuring all engineered solutions are compliant. Guide the automation and orchestration of ServiceNow deployment activities using modern tools and methods (Ansible, Python, Terraform, PowerShell), and mentor the team in best practices for testing, validation, and verification. Manage the troubleshooting, diagnosis, and resolution of complex system and service issues, overseeing Root Cause Analysis (RCA) and driving continuous improvement. Direct system performance analysis and tuning activities, ensuring solutions are efficiently configured and optimized by the team. Lead engineering projects and technical processes through the Systems Development Life Cycle (SDLC), ensuring the team meets deliverables, achieves positive outcomes, and stays within scope and budget. Oversee the delivery of well-developed and engineered solutions as deployable packages, ensuring Operations teams can transition solutions to production environments with minimal manual intervention and high success rates. Perform additional duties as assigned and needed in a dynamic environment to support evolving business and technical requirements. Required Clearance: TS/SCI with polygraph. (/sci) () Required Qualifications: Candidate must have 16 years of experience that can be a combination of work history and education. This equates to a doctorate and 8 years of experience OR a master's and 10 years OR a bachelor's and 12 years OR an associate's and 14 years OR HS and 16 years . Must meet Information Assurance Technical (IAT) Level 2 certification requirements. Additional requirements include: Must have at least 5 years of relevant ServiceNow experience that can be a combination of work history, education, and training. Must have Certification: ServiceNow Certified System Administrator . Must have at least one other advanced ServiceNow certification. Team Leadership experience. The candidate must be highly motivated. Able to work independently with both local and geographically diverse team members. Using effective time management skills to meet deliverable timelines. The candidate must also have experience working within concept, design, engineering, production, and sustainment phases of ServiceNow system development lifecycle. Experience with at least one of (Agile, Scrum, SDLC). Must be able to work with minimal supervision to perform complex technical tasks and lead others effectively. Must be able to process and analyze information and trouble calls submitted by a customer (e.g., system administrator, developer, security specialist), make determinations, and provide and implement solutions. Proven experience automating the implementation and configuration of ServiceNow technologies to support large scale enterprise solution deployments and configuration management efforts. Hands-on experience with developing, evaluating, assessing, and refining automated testing, validation, and verifications methods. Excellent client-facing and internal communication skills. Exceptional organizational skills, including attention to detail, multitasking and critical thinking skills. Skilled in working within a team environment within a professional office setting. Skilled in the ability to focus study and research to rapidly solve specific problems. Excellent and clear written documentation skills. Excellent self-study to achieve advanced training as required by the team and the program. Thrive within a highly dynamic and changing environment while adapting and managing shifting customer priorities. Excellent verbal communication skills. Working knowledge of Service Now or other ITSM. Experience working with Microsoft Office products: Word, Excel, PowerPoint, and Outlook. Experience innovating in a collaborative environment. Advanced system architecture, design, and integration. Experience with databases. Ideally including MariaDB. Required Cross platform and integration experience including Windows, Linux, Juniper, and Cisco. Demonstrated experience developing and scripting within ServiceNow using languages such as JavaScript, as well as integrating ServiceNow with external systems using Java, Python, Perl, or PowerShell. Desired Qualifications: CompTIA Security+ or equivalent will meet the minimum requirement for the role. ISC2 CISSP or equivalent is strongly preferred and exceeds the minimum requirement for this role. Ready to join our team? Apply today! Our NMS ServiceNow Software Designer (IT Software Developer III) (Government) earns between $108,000 - $225,000 yearly. 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) Pro-rated when working less than 40 hrs/wk. 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: Chantilly, 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: 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 an NMS ServiceNow Senior Software Designer: To support a key program in AT&T's National Security business segment. The NMS IT Software Designer will provide expert knowledge of network management systems, operating systems, commercial software, government software, and full integration of toolsets and servers. This position requires office presence a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. Description of Job Duties/Responsibilities: Compliance with Department of Defense (DoD) 8140.03 (8570) Information Assurance Technical (IAT) Level 2. Oversee and guide team members in the deployment, administration, development, and integration of the ServiceNow suite of tools on RHEL and Windows operating systems, while facilitating collaboration with database developers on MariaDB requirements. Lead the team in utilizing Agile, Scrum, and SDLC methodologies to coordinate, track, and deliver projects efficiently, fostering a culture of continuous improvement and accountability. Coordinate closely with Project Managers and Technical Leads, ensuring clear communication of team progress, risks, and technical challenges. Direct integration efforts with Cisco Network Services Orchestrator, GOTS, and other enterprise tools, assigning integration tasks and ensuring successful outcomes. Oversee the creation and maintenance of technical documentation by the team, ensuring accuracy and completeness for operations users and providing user handoff training as needed. Monitor the team's efforts to maintain IT system and application performance/availability while responding proactively to emerging issues. Lead the team in hardening and securing systems, supporting Risk Management Framework (RMF) authorization and accreditation (A&A) efforts, and ensuring all engineered solutions are compliant. Guide the automation and orchestration of ServiceNow deployment activities using modern tools and methods (Ansible, Python, Terraform, PowerShell), and mentor the team in best practices for testing, validation, and verification. Manage the troubleshooting, diagnosis, and resolution of complex system and service issues, overseeing Root Cause Analysis (RCA) and driving continuous improvement. Direct system performance analysis and tuning activities, ensuring solutions are efficiently configured and optimized by the team. Lead engineering projects and technical processes through the Systems Development Life Cycle (SDLC), ensuring the team meets deliverables, achieves positive outcomes, and stays within scope and budget. Oversee the delivery of well-developed and engineered solutions as deployable packages, ensuring Operations teams can transition solutions to production environments with minimal manual intervention and high success rates. Perform additional duties as assigned and needed in a dynamic environment to support evolving business and technical requirements. Required Clearance: TS/SCI with polygraph. (/sci) () Required Qualifications: Candidate must have 16 years of experience that can be a combination of work history and education. This equates to a doctorate and 8 years of experience OR a master's and 10 years OR a bachelor's and 12 years OR an associate's and 14 years OR HS and 16 years . Must meet Information Assurance Technical (IAT) Level 2 certification requirements. Additional requirements include: Must have at least 5 years of relevant ServiceNow experience that can be a combination of work history, education, and training. Must have Certification: ServiceNow Certified System Administrator . Must have at least one other advanced ServiceNow certification. Team Leadership experience. The candidate must be highly motivated. Able to work independently with both local and geographically diverse team members. Using effective time management skills to meet deliverable timelines. The candidate must also have experience working within concept, design, engineering, production, and sustainment phases of ServiceNow system development lifecycle. Experience with at least one of (Agile, Scrum, SDLC). Must be able to work with minimal supervision to perform complex technical tasks and lead others effectively. Must be able to process and analyze information and trouble calls submitted by a customer (e.g., system administrator, developer, security specialist), make determinations, and provide and implement solutions. Proven experience automating the implementation and configuration of ServiceNow technologies to support large scale enterprise solution deployments and configuration management efforts. Hands-on experience with developing, evaluating, assessing, and refining automated testing, validation, and verifications methods. Excellent client-facing and internal communication skills. Exceptional organizational skills, including attention to detail, multitasking and critical thinking skills. Skilled in working within a team environment within a professional office setting. Skilled in the ability to focus study and research to rapidly solve specific problems. Excellent and clear written documentation skills. Excellent self-study to achieve advanced training as required by the team and the program. Thrive within a highly dynamic and changing environment while adapting and managing shifting customer priorities. Excellent verbal communication skills. Working knowledge of Service Now or other ITSM. Experience working with Microsoft Office products: Word, Excel, PowerPoint, and Outlook. Experience innovating in a collaborative environment. Advanced system architecture, design, and integration. Experience with databases. Ideally including MariaDB. Required Cross platform and integration experience including Windows, Linux, Juniper, and Cisco. Demonstrated experience developing and scripting within ServiceNow using languages such as JavaScript, as well as integrating ServiceNow with external systems using Java, Python, Perl, or PowerShell. Desired Qualifications: CompTIA Security+ or equivalent will meet the minimum requirement for the role. ISC2 CISSP or equivalent is strongly preferred and exceeds the minimum requirement for this role. Ready to join our team? Apply today! Our NMS ServiceNow Software Designer (IT Software Developer III) (Government) earns between $108,000 - $225,000 yearly. 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) Pro-rated when working less than 40 hrs/wk. 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: Chantilly, 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.