Overview: GovCIO is currently hiring for an Information System Security Engineer (ISSE) to support the 2ROPS accreditation process for small classified mobile systems to renew the current Authority to Operate (ATO) and provide ongoing cybersecurity sustainment support. This position will be located at Vandenberg Space Force Base, California and will be an onsite position with some flexibility for remote work with 2ROPS leadership approval. Responsibilities: Designs and implements information assurance and security engineering systems with requirements of business continuity, operations security, cryptography, forensics, regulatory compliance, internal counterespionage (insider threat detection and mitigation), physical security analysis (including facilities analysis, and security management). Assesses and mitigates system security threats and risks throughout the program life cycle. Validates system security requirements definition and analysis. Establishes system security designs. Implements security designs in hardware, software, data, and procedures. Verifies security requirements; performs system certification and accreditation planning and testing and liaison activities. Supports secure systems operations and maintenance. Participates with the client in the strategic design process to translate security and business requirements into technical designs. Configures and validates secure systems and tests security products and systems to detect security weakness; performs network scanning and vulnerability analysis. Ensures that the appropriate security features and safeguards have been implemented on all information systems as required by DoD/IC policy and directives, and industry best practices. Performs defense device system installation, configuration maintenance, account maintenance, signature maintenance, patch management, and troubleshooting of all implemented, maintained, and deployed systems. Provides security certification test and evaluation of assets, vulnerability management and response, security assessments, customer support and provides guidance on security issues. Qualifications: High School with 9+ years (or commensurate experience) Clearance Required: Secret Required Skills and Experience 5 years of experience as security engineer for hardware and software Linux (Red Hat/CentOS) system administration experience Experience configuring Assured Compliance Assessment Solution (ACAS) and performing scans Security+ Certification (or equivalent) required Company Overview: GovCIO is a team of transformers people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? What You Can Expect Interview&Hiring Process If you are selected to move forward through the process, here's what you can expect: During the Interview Process Virtual video interview conducted via video with the hiring manager and/or team Camera must be on A valid photo ID must be presented during each interview During the Hiring Process Enhanced Biometrics ID verification screening Background check, to include: Criminal history (past 7 years) Verification of your highest level of education Verification of your employment history (past 7 years), based on information provided in your application Employee Perks At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: Employee Assistance Program (EAP) Corporate Discounts Learning&Development platform, to include certification preparation content Training, Education and Certification Assistance Referral Bonus Program Internal Mobility Program Pet Insurance Flexible Work Environment Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an"at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. Posted Salary Range: USD $120,000.00 - USD $140,000.00 /Yr.
03/12/2026
Full time
Overview: GovCIO is currently hiring for an Information System Security Engineer (ISSE) to support the 2ROPS accreditation process for small classified mobile systems to renew the current Authority to Operate (ATO) and provide ongoing cybersecurity sustainment support. This position will be located at Vandenberg Space Force Base, California and will be an onsite position with some flexibility for remote work with 2ROPS leadership approval. Responsibilities: Designs and implements information assurance and security engineering systems with requirements of business continuity, operations security, cryptography, forensics, regulatory compliance, internal counterespionage (insider threat detection and mitigation), physical security analysis (including facilities analysis, and security management). Assesses and mitigates system security threats and risks throughout the program life cycle. Validates system security requirements definition and analysis. Establishes system security designs. Implements security designs in hardware, software, data, and procedures. Verifies security requirements; performs system certification and accreditation planning and testing and liaison activities. Supports secure systems operations and maintenance. Participates with the client in the strategic design process to translate security and business requirements into technical designs. Configures and validates secure systems and tests security products and systems to detect security weakness; performs network scanning and vulnerability analysis. Ensures that the appropriate security features and safeguards have been implemented on all information systems as required by DoD/IC policy and directives, and industry best practices. Performs defense device system installation, configuration maintenance, account maintenance, signature maintenance, patch management, and troubleshooting of all implemented, maintained, and deployed systems. Provides security certification test and evaluation of assets, vulnerability management and response, security assessments, customer support and provides guidance on security issues. Qualifications: High School with 9+ years (or commensurate experience) Clearance Required: Secret Required Skills and Experience 5 years of experience as security engineer for hardware and software Linux (Red Hat/CentOS) system administration experience Experience configuring Assured Compliance Assessment Solution (ACAS) and performing scans Security+ Certification (or equivalent) required Company Overview: GovCIO is a team of transformers people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? What You Can Expect Interview&Hiring Process If you are selected to move forward through the process, here's what you can expect: During the Interview Process Virtual video interview conducted via video with the hiring manager and/or team Camera must be on A valid photo ID must be presented during each interview During the Hiring Process Enhanced Biometrics ID verification screening Background check, to include: Criminal history (past 7 years) Verification of your highest level of education Verification of your employment history (past 7 years), based on information provided in your application Employee Perks At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: Employee Assistance Program (EAP) Corporate Discounts Learning&Development platform, to include certification preparation content Training, Education and Certification Assistance Referral Bonus Program Internal Mobility Program Pet Insurance Flexible Work Environment Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an"at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. Posted Salary Range: USD $120,000.00 - USD $140,000.00 /Yr.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is hiring a Product Lifecycle Electrical Engineer with Medium Voltage Switchgear and/or Medium Voltage Transformer experience for our Electrical Products and Services team. The Electrical Products and Services Team is a AWS's Data Center Engineering global engineering team, responsible for the design and continuous innovation for products used within our rapidly expanding data center footprint. The Electrical Products and Services team works to design and develop resilient, cost-effective electrical distribution products and systems. As an engineer at Amazon, we are responsible for achieving world class uptime for our customers. We drive continuous advancements and improvements with our designs and communicate technical direction to Senior Leadership. We seek new ways to enhance the reliability, scalability, and cost effectiveness of our engineering designs. As an engineer at Amazon, you can design, innovate, and improve the products our customers rely on. Amazon offers a fast-paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. If you are a natural leader, smart and worked with high performing team of engineers that enjoys working with complex problems we want you! At Amazon, you will be responsible for working on product designs and supporting our wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost. At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a product engineer at Amazon, you will be working with other internal groups as well as external groups including engineering service providers, manufacturers, vendors, inspectors, third party testing labs and contractors. Amazon has a global presence. Travel will be necessary but shouldn't be more than 30%. International support will be part of the job, and some international travel may be necessary. Your contribution could consist of leading international projects and could require developing engineering information packages. An understanding of international electrical product design requirements is helpful but not necessary. Key job responsibilities Work with internal partner teams to solicit customer input and define design requirements for product design. • Lead new product design, development and qualification of critical electrical power distribution equipment for AWS datacenters with primary focus on MV switchgear and transformers as well as connecting dependencies with LV switchgear and power distribution. • Develop Capex and Opex spending budgets taking into account development costs with vendors, prototyping needs, testing and specialized tooling requirements. • Work with global suppliers and manufacturers to specify appropriate electrical equipment and components, ensuring tier 2-3 supply chain resiliency. • Ensure compliance with UL, CSA, IEC and federal, state and municipal requirements and building codes across different countries through appropriate levels of testing. • Validate design through prototype, pre-production and first-of-kind builds, conducting DFx and value engineering analysis through each step and updating design and documentation. • Work with field engineering and commissioning teams to properly test and validate installation, operation, and performance of electrical products. • Ability to provide support for manufacturing activities for the new products on concurrent projects in multiple geographical locations. • Be a leader within the product development team as well as within internal and external teams that support the data center. BASIC QUALIFICATIONS - 6+ years of data center design, construction, operations, or facility maintenance experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience developing solutions and executing plans on complex projects - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents - Master's degree in Electrical Engineering or a related field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, Columbus - 136 800.00 USD annually USA, TX, Austin - 136 800.00 USD annually USA, VA, Herndon - 136 800.00 USD annually
03/08/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is hiring a Product Lifecycle Electrical Engineer with Medium Voltage Switchgear and/or Medium Voltage Transformer experience for our Electrical Products and Services team. The Electrical Products and Services Team is a AWS's Data Center Engineering global engineering team, responsible for the design and continuous innovation for products used within our rapidly expanding data center footprint. The Electrical Products and Services team works to design and develop resilient, cost-effective electrical distribution products and systems. As an engineer at Amazon, we are responsible for achieving world class uptime for our customers. We drive continuous advancements and improvements with our designs and communicate technical direction to Senior Leadership. We seek new ways to enhance the reliability, scalability, and cost effectiveness of our engineering designs. As an engineer at Amazon, you can design, innovate, and improve the products our customers rely on. Amazon offers a fast-paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. If you are a natural leader, smart and worked with high performing team of engineers that enjoys working with complex problems we want you! At Amazon, you will be responsible for working on product designs and supporting our wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost. At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a product engineer at Amazon, you will be working with other internal groups as well as external groups including engineering service providers, manufacturers, vendors, inspectors, third party testing labs and contractors. Amazon has a global presence. Travel will be necessary but shouldn't be more than 30%. International support will be part of the job, and some international travel may be necessary. Your contribution could consist of leading international projects and could require developing engineering information packages. An understanding of international electrical product design requirements is helpful but not necessary. Key job responsibilities Work with internal partner teams to solicit customer input and define design requirements for product design. • Lead new product design, development and qualification of critical electrical power distribution equipment for AWS datacenters with primary focus on MV switchgear and transformers as well as connecting dependencies with LV switchgear and power distribution. • Develop Capex and Opex spending budgets taking into account development costs with vendors, prototyping needs, testing and specialized tooling requirements. • Work with global suppliers and manufacturers to specify appropriate electrical equipment and components, ensuring tier 2-3 supply chain resiliency. • Ensure compliance with UL, CSA, IEC and federal, state and municipal requirements and building codes across different countries through appropriate levels of testing. • Validate design through prototype, pre-production and first-of-kind builds, conducting DFx and value engineering analysis through each step and updating design and documentation. • Work with field engineering and commissioning teams to properly test and validate installation, operation, and performance of electrical products. • Ability to provide support for manufacturing activities for the new products on concurrent projects in multiple geographical locations. • Be a leader within the product development team as well as within internal and external teams that support the data center. BASIC QUALIFICATIONS - 6+ years of data center design, construction, operations, or facility maintenance experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience developing solutions and executing plans on complex projects - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents - Master's degree in Electrical Engineering or a related field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, Columbus - 136 800.00 USD annually USA, TX, Austin - 136 800.00 USD annually USA, VA, Herndon - 136 800.00 USD annually
Overview: GovCIO is currently hiring for a Senior Network Architect/SME in Service Provider Backbone, LAN/WAN and DW/DM for our NIH-CIT proposal. This position is located in Bethesda, MD and is a remote/hybrid position. Responsibilities: The SME role's responsibilities include: Coordinate with the Section Manager to evaluate, design, and test architecture designs and services from the roadmap backlog Lead the transition of user accepted designs and services to the Operations and Security Teams Provide subject matter expertise in Service Provider backbone Provide subject matter expertise in Enterprise-level LAN/WAN Provide subject matter expertise in Enterprise-level DWDM (Dense Wave Division Multiplexing. The Network Architecture role's responsibilities include: Strategically plan, architect, design, engineer, develop, test, implement, modernize, and enhance the functional capabilities, capacity, and performance of the NIH Network and TIC Services in alignment with NIH future state architecture objectives Software and hardware installation, configuration, upgrades, and maintenance Team with the Security Section to achieve security architecture requirements Maintain technical architecture documentation Troubleshooting and problem resolution Change management Support resources responsible for security implementation, monitoring, maintenance, and vulnerability remediation Strategic&Transformative planning for network architecture services Qualifications: Bachelor's with 12+ years (or commensurate experience) Required Skills and Experience CCIE Certification: Written and practical Within each of the Cisco Certifications, the following specializations are needed and listed in order of importance: Routing and Switching, Service Provider, Data Center and Wireless Clearance Required: Must be able to obtain and maintain a Public Trust clearance. Preferred Skills and Experience: Company Overview: GovCIO is a team of transformers people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? What You Can Expect Interview&Hiring Process If you are selected to move forward through the process, here's what you can expect: During the Interview Process Virtual video interview conducted via video with the hiring manager and/or team Camera must be on A valid photo ID must be presented during each interview During the Hiring Process Enhanced Biometrics ID verification screening Background check, to include: Criminal history (past 7 years) Verification of your highest level of education Verification of your employment history (past 7 years), based on information provided in your application Employee Perks At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: Employee Assistance Program (EAP) Corporate Discounts Learning&Development platform, to include certification preparation content Training, Education and Certification Assistance Referral Bonus Program Internal Mobility Program Pet Insurance Flexible Work Environment Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an"at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. Posted Salary Range: USD $108,310.00 - USD $149,027.00 /Yr.
01/14/2026
Full time
Overview: GovCIO is currently hiring for a Senior Network Architect/SME in Service Provider Backbone, LAN/WAN and DW/DM for our NIH-CIT proposal. This position is located in Bethesda, MD and is a remote/hybrid position. Responsibilities: The SME role's responsibilities include: Coordinate with the Section Manager to evaluate, design, and test architecture designs and services from the roadmap backlog Lead the transition of user accepted designs and services to the Operations and Security Teams Provide subject matter expertise in Service Provider backbone Provide subject matter expertise in Enterprise-level LAN/WAN Provide subject matter expertise in Enterprise-level DWDM (Dense Wave Division Multiplexing. The Network Architecture role's responsibilities include: Strategically plan, architect, design, engineer, develop, test, implement, modernize, and enhance the functional capabilities, capacity, and performance of the NIH Network and TIC Services in alignment with NIH future state architecture objectives Software and hardware installation, configuration, upgrades, and maintenance Team with the Security Section to achieve security architecture requirements Maintain technical architecture documentation Troubleshooting and problem resolution Change management Support resources responsible for security implementation, monitoring, maintenance, and vulnerability remediation Strategic&Transformative planning for network architecture services Qualifications: Bachelor's with 12+ years (or commensurate experience) Required Skills and Experience CCIE Certification: Written and practical Within each of the Cisco Certifications, the following specializations are needed and listed in order of importance: Routing and Switching, Service Provider, Data Center and Wireless Clearance Required: Must be able to obtain and maintain a Public Trust clearance. Preferred Skills and Experience: Company Overview: GovCIO is a team of transformers people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? What You Can Expect Interview&Hiring Process If you are selected to move forward through the process, here's what you can expect: During the Interview Process Virtual video interview conducted via video with the hiring manager and/or team Camera must be on A valid photo ID must be presented during each interview During the Hiring Process Enhanced Biometrics ID verification screening Background check, to include: Criminal history (past 7 years) Verification of your highest level of education Verification of your employment history (past 7 years), based on information provided in your application Employee Perks At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: Employee Assistance Program (EAP) Corporate Discounts Learning&Development platform, to include certification preparation content Training, Education and Certification Assistance Referral Bonus Program Internal Mobility Program Pet Insurance Flexible Work Environment Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an"at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. Posted Salary Range: USD $108,310.00 - USD $149,027.00 /Yr.
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 ID: 708011BR Date posted: Oct. 28, 2025 Description: WHAT WE'RE DOING At Lockheed Martin Rotary and Mission Systems, we're on a mission to drive innovation and uphold the highest standards of business ethics. We believe that by pushing the boundaries of visionary thinking, we can achieve exceptional results. As a Lockheed Martin employee, you'll have the opportunity to make a meaningful impact while working in an environment that values integrity and excellence. THE WORK The Assembly & Flight Operations (AFO) Digital Transformation team is at the forefront of integrating artificial intelligence and machine learning into defense systems. In this role you will collaborate with a multidisciplinary team to design, develop, and deploy AI driven applications-from data set creation and deep learning model training to embedding automation technologies and hardware interfaces. You will be involved in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration & test, and verification & validation. Activities span low TRL research, prototype development, demo construction, and transition to production, with a focus on computer vision solutions (anomaly detection, object detection, segmentation) and large language model implementations (RAG, agentic frameworks). As a key member of our AI / Machine Learning team, you will: • Assist in designing and building innovative software applications with intuitive user experiences, primarily using Python and occasionally C/C++ for hardware interfacing or performance optimization. • Utilize deep learning models for a variety of AI/ML use cases. • Create and curate high quality datasets to support model development and evaluation. • Integrate AI functionality into cohesive systems that incorporate automation technologies and embedded devices. • Leverage Git, Bash scripting, multithreading, and GPU acceleration to ensure efficient, scalable solutions. • Staying current with emerging AI/ML algorithms, analytics, and domain specific technologies, and applying them to solve complex problems. • Contribute both research & development initiatives and the practical deployment of AI software through the AI Software Factory. This position will require the selected candidate to have or obtain an Interim Secret level U.S. government security clearance before starting with Lockheed Martin. U.S. citizenship is a requirement for consideration. WHY JOIN US This role offers a unique blend of cutting edge research, rapid prototyping, and end to end product delivery within a mission critical defense environment. Basic Qualifications: • Bachelor's degree in engineering • 2 years of experience utilizing Python for development and machine learning (e.g. TensorFlow, PyTorch, LangChain) • Proficiency in Python and foundational machine learning concepts, with the ability to independently develop, train, and evaluate models • Experience with AI/ML concepts and applications (ex: Transformers, Computer Vision, LLMs, RAG) • DevOps experience including CI/CD pipelines to build, test, deploy applications Experience with Git • Experience with software planning and execution throughout the requirements, development, design, build, test, and integration phases of a program & familiarity with transitioning prototype software to production, including rapid software prototyping experience to create minimal viable products for evaluation of options Desired Skills: • Proficiency with C, C++, MATLAB, BASH • Experience interfacing with databases (SQL, MongoDB) • General web development experience (HTML, CSS) • Experience with different JavaScript libraries • Experience developing applications on Linux • Experience developing containerized applications • Experience with network/messaging (UDP, ZeroMQ, RESTful API, OPCUA) • Experience with multithreading and GPU acceleration Clearance Level: None Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Software Engineering Type: Full-Time Shift: First
12/19/2025
Full time
Job ID: 708011BR Date posted: Oct. 28, 2025 Description: WHAT WE'RE DOING At Lockheed Martin Rotary and Mission Systems, we're on a mission to drive innovation and uphold the highest standards of business ethics. We believe that by pushing the boundaries of visionary thinking, we can achieve exceptional results. As a Lockheed Martin employee, you'll have the opportunity to make a meaningful impact while working in an environment that values integrity and excellence. THE WORK The Assembly & Flight Operations (AFO) Digital Transformation team is at the forefront of integrating artificial intelligence and machine learning into defense systems. In this role you will collaborate with a multidisciplinary team to design, develop, and deploy AI driven applications-from data set creation and deep learning model training to embedding automation technologies and hardware interfaces. You will be involved in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration & test, and verification & validation. Activities span low TRL research, prototype development, demo construction, and transition to production, with a focus on computer vision solutions (anomaly detection, object detection, segmentation) and large language model implementations (RAG, agentic frameworks). As a key member of our AI / Machine Learning team, you will: • Assist in designing and building innovative software applications with intuitive user experiences, primarily using Python and occasionally C/C++ for hardware interfacing or performance optimization. • Utilize deep learning models for a variety of AI/ML use cases. • Create and curate high quality datasets to support model development and evaluation. • Integrate AI functionality into cohesive systems that incorporate automation technologies and embedded devices. • Leverage Git, Bash scripting, multithreading, and GPU acceleration to ensure efficient, scalable solutions. • Staying current with emerging AI/ML algorithms, analytics, and domain specific technologies, and applying them to solve complex problems. • Contribute both research & development initiatives and the practical deployment of AI software through the AI Software Factory. This position will require the selected candidate to have or obtain an Interim Secret level U.S. government security clearance before starting with Lockheed Martin. U.S. citizenship is a requirement for consideration. WHY JOIN US This role offers a unique blend of cutting edge research, rapid prototyping, and end to end product delivery within a mission critical defense environment. Basic Qualifications: • Bachelor's degree in engineering • 2 years of experience utilizing Python for development and machine learning (e.g. TensorFlow, PyTorch, LangChain) • Proficiency in Python and foundational machine learning concepts, with the ability to independently develop, train, and evaluate models • Experience with AI/ML concepts and applications (ex: Transformers, Computer Vision, LLMs, RAG) • DevOps experience including CI/CD pipelines to build, test, deploy applications Experience with Git • Experience with software planning and execution throughout the requirements, development, design, build, test, and integration phases of a program & familiarity with transitioning prototype software to production, including rapid software prototyping experience to create minimal viable products for evaluation of options Desired Skills: • Proficiency with C, C++, MATLAB, BASH • Experience interfacing with databases (SQL, MongoDB) • General web development experience (HTML, CSS) • Experience with different JavaScript libraries • Experience developing applications on Linux • Experience developing containerized applications • Experience with network/messaging (UDP, ZeroMQ, RESTful API, OPCUA) • Experience with multithreading and GPU acceleration Clearance Level: None Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Software Engineering Type: Full-Time Shift: First