442 jobs found

City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring a DevOps Engineer! This position is fully remote. Overview Software product development focuses on developing multiple types/categories of software including end-user applications, enterprise data architecture, and operating systems/utility software and tools, which provides a platform for running end-user applications for external customers. The work includes: •Understanding the domain of the software problem and/or functionality, the interfaces between hardware and software, and the overall software characteristics •Using programming, scripting, and/or database languages to write the software code •Supporting software test engineering, DevOps, deployment, maintenance, and evolution activities by correcting programming errors, responding to scope changes, and coding software enhancements •Applying knowledge of software development best practices, including technical design specifications, coding standards, code reviews, source control management, build processes, testing, and operations. Key Responsibilities Design, develop, and maintain Azure cloud infrastructure using Terraform (IaC-first approach) Build and support Kubernetes (AKS) environments, including container deployment Implement and maintain CI/CD pipelines using GitHub and related tooling Collaborate with development teams to enable self-service infrastructure and deployment capabilities Apply DevOps best practices across build, release, and operational processes Troubleshoot infrastructure, networking, and deployment issues across cloud environments Contribute to platform standardization, governance, and reusable module development Required Qualifications Strong experience with Microsoft Azure cloud infrastructure Proven expertise in Terraform for infrastructure provisioning and management Hands-on experience with GitHub (source control, workflows, CI/CD integration) Experience designing, deploying, and managing Kubernetes (AKS) environments Solid understanding of DevOps practices, CI/CD pipelines, and automation principles Ability to apply GenAI capabilities to improve productivity, code quality, and operational efficiency Experience working with Application Release Orchestration tools (e.g., Massdriver, Redhat, GitLab, Harness, etc.) Ability to work independently and make decisions in ambiguous environments Strong problem-solving and critical thinking skills Preferred Qualifications Experience with AWS cloud infrastructure Knowledge of cloud networking concepts (VNet, routing, connectivity, security) Familiarity with Kanban, Scrum, or other frameworks supporting Agile delivery Exposure to platform engineering concepts and developer self-service models Impact This role directly contributes to: Accelerating cloud adoption and standardization Enabling developer productivity through automation and self-service Improving system reliability, scalability, and operational efficiency Ways of Working (Critical to Success) This role requires a strong alignment to Sentara's engineering culture: Operates with an Agile mindset, focusing on incremental delivery and continuous improvement Embraces ambiguity-comfortable with "we don't know what we don't know yet" Prioritizes value-driven decision making, not just task execution Seeks and applies feedback continuously Contributes to a diverse culture of shared ownership and team accountability Team & Culture Expectations We are looking for engineers who: Have an attitude of curiosity and growth mindset Are comfortable operating with autonomy ("ask for forgiveness vs. permission" mindset) View themselves as owners, partners, relationship builders; not order-takers Courageously engage in two-way feedback and transparent communication Partner with leadership, teammates, and external dependencies to identify blockers and improve effectiveness This is a highly collaborative environment where success depends on proactive communication, ownership, and continuous learning. Education 3+ years of relevant experience with a degree (Required) or 5+ years of relevant experience without a degree(Required) Certification/Licensure No specific certification or licensure requirements Experience Typically requires 5+ years of relevant experience in DevOps, cloud engineering, or infrastructure automation Equivalent combination of education and 3+ years of relevant experience will be considered We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $80,204.80 - $133,681.60. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Talroo-IT . Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development • Pet Insurance • Legal Resources Plan • Colleagues may have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met Sentara Independence provides quality outpatient services to the surrounding community. The facility includes an ambulance-accessible emergency room that is supported by board-certified physicians. Sentara Independence houses state-of-the-art medical equipment and highly-skilled physicians and staff. Sentara Independence is now an extension of the quality services at Sentara Virginia Beach General Hospital including advanced imaging and physical therapy. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

City/State Virginia Beach, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management. Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments. Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation. Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads. Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability. Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes. Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code. Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them. Support enterprise AI governance, compliance, auditability, and model risk management requirements. Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies. Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks. Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability. Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases. Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics. Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments. Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement. Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives. Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data. Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices. Required Qualifications 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications. Strong programming skills in Python and experience with software engineering best practices. Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent. Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies. Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP. Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures. Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure. Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices. Experience building monitoring, observability, and alerting solutions for ML and AI systems. Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations. Experience designing secure, scalable, production-ready AI platforms and services. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Previous experience implementing Generative AI and MLOps solutions within healthcare environments. Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices. Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling. Experience with GPU infrastructure optimization and scalable inference architectures. Familiarity with multi-agent AI systems and autonomous workflows. Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies. Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required) Experience in lieu of Bachelor's Degree. Certification/Licensure No specific certification or licensure requirements Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan . click apply for full job details

City/State Norfolk, VA Work Shift First (Days) Overview: Sentara is hiring a ServiceNow Principal Domain Architect! This position is fully remote! Overview The domain architect proactively and holistically leads and supports EA activities that guide the development and management of domain and infrastructure solutions. These solutions enable the organization's future-state business capabilities and drive the organization's targeted business outcomes. Technologies include data centers, infrastructure, cloud, mobile, AI, Internet of Things (IoT), blockchain, edge computing, and immersive experiences technologies. Domain architects provide the leadership, facilitation, analysis, and design tasks required for the development of an enterprise's technical and infrastructure architecture. Domain architects create deliverables that help develop target-state guidance (standards, guidelines, individual parts, platforms, and configurations) for evolving the technical infrastructure across the enterprise, in order to enable business strategy and deliver targeted business outcomes. They enable and orchestrate the delivery of targeted business outcomes by facilitating and making technical decisions. A Specialist Professional is a recognized subject matter expert in a job area, typically obtained through advanced education and work experience. Responsibilities typically include • Managing large projects or processes with limited oversight from the manager. • Coaching, reviewing, and delegating work to lower-level professionals. • Problems faced are difficult and often complex. Education 8+ years of relevant experience with a degree (Required) or 10+ years of relevant experience without a degree (Required) Certification/Licensure ServiceNow Architect Certification (Preferred) Experience 10 to 12 years of ServiceNow experience over all ServiceNow experience (Required) Minimum 2 to 3 years of ServiceNow architect-level experience (Required) ServiceNow experienced, certified Architect Strong familiarity with ServiceNow Suite (e.g., ITSM, SPM, FSM, ITOM, IRM, EA etc) and platform wide analytics, AI, reporting and Virtual Agent a plus. Proven ability to communicate effectively with both business and technical stakeholders. Demonstrable ability to work independently, with a focus on best practice architectural design and analytical problem-solving and critical thinking. Familiarity with system/software engineering lifecycle principles, including requirements analysis, functional and technical solutions development, and application support. Experience working with large datasets, performing data analysis/modeling, and contributing insights for management decision-making. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $106,080.00 - $176,820.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Talroo-IT, Indeed ServiceNow, ServiceNow Architect, ITSM, SPM, FSM, ITOM, IRM, EA, ServiceNow Architect Certification, SNow, Domain architect, Principal Domain Architect, Architect Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Associate, Enterprise Architecture Influences others regarding technologies, solutions to problems, processes and best practices for implementation. The incumbent provides and implements technology solution guidance to existing problems within the Enterprise Architecture function. Recommends and participates in the analysis, evaluation and development of enterprise strategic and operating plans to ensure that the EA objectives are consistent with the enterprise's long-term business objectives. Assists with the implementation of new policies, strategies and procedures to support IT and other cross functional initiatives, as appropriate. Interfaces across education, research, and administrative areas, acting as visionary to proactively assist in defining the direction for future projects. Influences others regarding technologies, solutions to problems, processes and best practices for implementation. Understands, advocates, and augments the principles of information technology strategies. Provides and implements technology solution guidance to existing problems within the Enterprise Architecture function. Understands, advocates, and augments the principles of information technology strategies. Researches and analyzes current information technology environment to detect critical deficiencies and recommend solutions for improvement. Supports and provides well-analyzed and defined recommendations on governance activities associated with ensuring compliance within the Enterprise Architecture function. Operates in full compliance with internal policies and procedures as well as applicable regulations and laws. Recommends and influences best practices in Enterprise Architecture/Information Technology policies and processes to business lines as needed. Advises and delivers informational IT training to stakeholders as needed. Builds and manages client relationships across a network of existing and future clients. Provides mentoring and coaching to junior level staff as needed. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's Degree or equivalent work experience: Computer Management, Management Information Systems, Computer Engineering, System Analysis or a equivalent field. - Required. Master's Degree: Computer Management, Management Information Systems, Computer Engineering, System Analysis or a equivalent field. - Preferred. 5+ Years Information Technology or a related field. - Required. Knowledge of Enterprise Architecture practices and processes required. Ability to multi-task and adhere to deadlines. Ability to adapt to rapidly changing business environment. Ability to adjust to new developments/changing circumstances. Ability to influence others. Ability to lead and mentor junior level professionals. Ability to communicate at a technical, business, or executive level. Ability to leverage technology to improve and automate business tasks. Ability to maintain and report on confidential information in an appropriate manner. Strong Project Management skills. Excellent written and verbal communication skills. Demonstrated proficiency in Enterprise Architecture consultancy, or ability to perform at proficient level of competence. Strong attention to details and can analyze information quickly. Proficiency in MS Word and MS Excel. Strong verbal and written communication skills. Ability to understand business requirements and translate into architectural deliverables. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $93,750.00 USD Maximum: $165,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Associate, Enterprise Architecture Influences others regarding technologies, solutions to problems, processes and best practices for implementation. The incumbent provides and implements technology solution guidance to existing problems within the Enterprise Architecture function. Recommends and participates in the analysis, evaluation and development of enterprise strategic and operating plans to ensure that the EA objectives are consistent with the enterprise's long-term business objectives. Assists with the implementation of new policies, strategies and procedures to support IT and other cross functional initiatives, as appropriate. Interfaces across education, research, and administrative areas, acting as visionary to proactively assist in defining the direction for future projects. Influences others regarding technologies, solutions to problems, processes and best practices for implementation. Understands, advocates, and augments the principles of information technology strategies. Provides and implements technology solution guidance to existing problems within the Enterprise Architecture function. Understands, advocates, and augments the principles of information technology strategies. Researches and analyzes current information technology environment to detect critical deficiencies and recommend solutions for improvement. Supports and provides well-analyzed and defined recommendations on governance activities associated with ensuring compliance within the Enterprise Architecture function. Operates in full compliance with internal policies and procedures as well as applicable regulations and laws. Recommends and influences best practices in Enterprise Architecture/Information Technology policies and processes to business lines as needed. Advises and delivers informational IT training to stakeholders as needed. Builds and manages client relationships across a network of existing and future clients. Provides mentoring and coaching to junior level staff as needed. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's Degree or equivalent work experience: Computer Management, Management Information Systems, Computer Engineering, System Analysis or a equivalent field. - Required. Master's Degree: Computer Management, Management Information Systems, Computer Engineering, System Analysis or a equivalent field. - Preferred. 5+ Years Information Technology or a related field. - Required. Knowledge of Enterprise Architecture practices and processes required. Ability to multi-task and adhere to deadlines. Ability to adapt to rapidly changing business environment. Ability to adjust to new developments/changing circumstances. Ability to influence others. Ability to lead and mentor junior level professionals. Ability to communicate at a technical, business, or executive level. Ability to leverage technology to improve and automate business tasks. Ability to maintain and report on confidential information in an appropriate manner. Strong Project Management skills. Excellent written and verbal communication skills. Demonstrated proficiency in Enterprise Architecture consultancy, or ability to perform at proficient level of competence. Strong attention to details and can analyze information quickly. Proficiency in MS Word and MS Excel. Strong verbal and written communication skills. Ability to understand business requirements and translate into architectural deliverables. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $93,750.00 USD Maximum: $165,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

Job Title: Fullstack Developer - Intermediate Location: Plano, TX Duration: Temp to Hire - 6 months Pay Range: $75.76/hr $80.65/hr (W2) Job ID: 407652 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an intermediate-level ReactJS / Front-End Software Engineer to support the design, development, testing, and maintenance of modern web applications. The ideal candidate will have strong experience in TypeScript, ReactJS, JavaScript, HTML, and CSS and a proven ability to deliver high-quality, reusable front-end features and components while upholding UI/UX, performance, accessibility, and operational stability standards. The candidate will also use enterprise-authorized AI-assisted tools responsibly and validate AI-generated outputs for quality and compliance. Responsibilities: Design, develop, debug, and maintain front-end features using ReactJS, TypeScript, JavaScript, HTML, and CSS. Build reusable, maintainable, and scalable React components using modern React patterns. Apply UI/UX principles to deliver responsive, accessible, and user-friendly experiences. Participate in system design discussions and contribute to architecture decisions appropriate to the role level. Develop and maintain unit and automation tests using React Testing Library and Jest. Support application quality, performance, resiliency, and operational stability. Troubleshoot and resolve issues across development, testing, and production-like environments. Work within agile practices including sprint planning, backlog refinement, daily stand-ups, demos, retrospectives, and code reviews. Collaborate with product owners, designers, QA, engineers, and partner teams. Communicate progress, blockers, risks, and technical considerations proactively. Contribute ideas that improve user experience, engineering practices, automation, testing, and delivery efficiency. Use approved AI-assisted tools for coding, test generation, troubleshooting, documentation, and productivity improvements, and validate outputs for correctness, performance, security, and compliance. Required Skills & Qualifications: Intermediate-level hands-on front-end development experience. Strong proficiency in TypeScript and ReactJS. Working knowledge of JavaScript, HTML, and CSS. Experience with modern React patterns and component-based development. Experience developing, debugging, and maintaining reusable React components. Solid understanding of UI/UX design principles and front-end usability considerations. Hands-on experience across system design, application development, testing, and operational stability. Proficiency in automation testing using React Testing Library and Jest. Solid understanding of agile software development methodologies and CI/CD practices. Ability to independently deliver assigned features, enhancements, and fixes with appropriate guidance in a cross-team environment. Strong communication skills and a collaborative mindset with openness to feedback and peer review. Hands-on experience using enterprise-authorized AI-assisted development tools, with demonstrated ability to evaluate and refine AI-generated outputs for functional correctness, code quality, performance, security, maintainability, and standards alignment. Understanding of responsible AI use, including data sensitivity, secure handling of inputs and outputs, avoidance of inappropriate exposure, validation prior to implementation, and adherence to resiliency, security, and compliance expectations. Preferred Skills: Experience with Redux, Context API, and XState or state machines. Exposure to cloud technologies and AI/ML concepts or AI-enabled engineering practices. Hands-on experience with Java technologies or back-end integration. Experience working in large enterprise environments. Familiarity with front-end performance optimization, accessibility standards, and responsive design best practices. Familiarity with Next.js in the React ecosystem. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Consultant, Insider Threat Enterprise Cyber Security Full Time, Springfield MA (Hybrid) The Opportunity MassMutual is advancing an enterprise Insider Threat program focused on identifying and managing human-driven cyber risk. The Insider Threat Consultant will play a key role in developing the asset intelligence, monitoring strategies, detection capabilities, and investigative processes necessary to identify and manage insider-driven risk. This role combines deep technical expertise, critical asset analysis, behavioral risk assessment, and investigative discipline to understand how people interact with sensitive assets and to identify patterns of activity that may indicate elevated risk. The consultant will partner with cybersecurity operations, detection engineering, HR, Legal, Privacy, and business stakeholders to align monitoring and investigative capabilities with asset sensitivity and business impact. This position is suited for an experienced practitioner who can operate across technical, analytical, and investigative domains while helping build and mature an enterprise-scale insider threat program. The Team The Insider Threat team is a specialized cybersecurity function responsible for understanding and managing the risks that trusted individuals may pose to MassMutual's critical assets, systems, information, and operations. The team operates at the intersection of critical asset protection, identity and access management, behavioral analytics, cyber defense, investigations, and workforce risk. Team members develop the intelligence, monitoring strategies, detection capabilities, investigative processes, and analytical frameworks necessary to identify and reduce insider-driven risk. The team partners closely with Cyber Operations, Detection Engineering, Human Resources, Legal, Privacy, Compliance, Fraud Operations, and business stakeholders to ensure insider risk is identified, assessed, and managed in a consistent, defensible, and risk-informed manner. The Impact The Insider Threat Consultant will: Identify and prioritize critical assets requiring enhanced monitoring and protection. Analyze how critical assets are accessed, used, and shared across the enterprise. Map relationships between identities, access privileges, business processes, and critical assets. Analyze behavioral and technical indicators associated with insider risk. Identify patterns of activity that may indicate misuse or mishandling of critical assets. Conduct and support complex insider threat investigations. Correlate identity, access, asset, and behavioral signals across multiple data sources. Monitor and analyze deception environments and adversary interaction signals. Partner with detection engineering and security operations to develop and refine insider threat detection logic. Contribute to tuning enterprise security tooling to improve identification of insider-driven risk. Support development of early-warning frameworks and proactive risk identification. Produce clear, defensible analytical findings and case documentation. Support executive reporting and enterprise risk visibility. The consultant's work will improve visibility into critical assets, strengthen understanding of user-to-asset trust relationships, increase the fidelity of insider threat detections, and help prevent compromise of the confidentiality, integrity, and availability of MassMutual's most important information and systems. The Minimum Qualifications 8+ years of experience in cybersecurity, insider threat, investigations, intelligence analysis, data protection, enterprise architecture, or related disciplines. 2+ years of experience working cross-functionally with security, HR, Legal, Privacy, business, or investigative stakeholders. Preferred Qualifications Experience supporting or building an Insider Threat Program. Experience supporting Critical Asset Protection, Information Protection, Data Protection, or Human Risk Management initiatives. Experience conducting cyber, digital, fraud, employee misconduct, or insider threat investigations. Experience analyzing logs, endpoint telemetry, identity activity, access patterns, and behavioral signals. Hands-on experience contributing to detection use cases, monitoring strategies, investigative workflows, or security content development. Experience identifying, classifying, mapping, or protecting sensitive information or critical assets. Strong understanding of identity and access management concepts, privileged access, trust relationships, and access governance. Experience with SIEM, EDR, UEBA, DLP, insider risk management, identity security, and security analytics platforms. Experience developing, tuning, or validating detection logic across endpoint, identity, network, and data protection technologies. Experience analyzing user behavior and identifying anomalous or high-risk activity through the correlation of multiple data sources. Familiarity with deception technologies, cyber deception strategies, or adversary engagement techniques. Experience supporting highly regulated environments such as financial services. Professional certifications such as CISSP, CISM, GIAC, CDLP, GCFA, GCIH, or equivalent. Degree in cybersecurity, intelligence studies, psychology, criminal justice, information systems, or related field. What You Can Expect at MassMutual MassMutual offers the opportunity to do meaningful work within a purpose-driven organization that values long-term impact over short-term outcomes. In this role, you can expect: Clear areas of ownership and accountability, with work that connects directly to company and customer outcomes A collaborative environment where perspectives are welcomed Access to learning, development, and internal networks that support continuous growth and skill-building over time Employee-led communities and forums that foster connection, learning, and inclusion across the organization A culture grounded in integrity, responsibility, and stewardship-supported by a company with a strong legacy and a future-focused mindset MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Job Description Job Description Description: GXM Technologies is seeking an experienced Agile Program Integration Lead to support advanced operational and mission-focused programs within defense and space-related environments. This role supports complex systems integration, operational mission execution, cloud modernization, and multi-domain capability delivery efforts through coordination of Agile execution activities, enterprise-level delivery synchronization, operational milestone tracking, and integrated program management. The ideal candidate possesses a combination of Agile delivery leadership, technical program coordination, systems integration awareness, and operational mission execution experience. This individual will work closely with program managers, technical leads, systems engineers, DevSecOps teams, architects, cybersecurity personnel, and Government stakeholders to synchronize delivery activities across Agile teams while maintaining visibility into overall program execution, operational milestones, MVP release timelines, and IOC delivery objectives. This role is onsite in Colorado Springs, CO due to operational integration and classified mission requirements. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the cross-functional Agile delivery and program integration coordination lead supporting operational mission execution across multiple technical teams and integrated workstreams. Coordinate Agile execution activities across systems engineering, software development, cloud infrastructure, cybersecurity, operational integration, testing, and mission support teams. Utilize Jira, Confluence, and enterprise Agile planning tools to manage: o Program execution tracking o Cross-team dependencies o Operational milestones o MVP release coordination o Integration timelines o IOC readiness activities Configure and manage Jira portfolio planning, roadmap, and scheduling plugins supporting both Agile team execution and enterprise-level program management activities. Develop and maintain integrated program execution roadmaps, delivery schedules, release coordination plans, operational milestone tracking, and dependency management artifacts. Facilitate synchronization activities across technical teams, mission stakeholders, engineering organizations, and Government leadership. Support Agile ceremonies, release planning activities, integration coordination meetings, operational readiness reviews, and delivery synchronization events. Monitor execution risks, integration dependencies, delivery constraints, and operational impacts while supporting mitigation planning and corrective actions. Support program leadership with delivery metrics, Jira dashboards, roadmap reporting, operational status tracking, and executive-level program visibility. Collaborate with Technical Program Managers, Enterprise Architects, Chief Engineers, Technical Leads, cybersecurity teams, and operational mission stakeholders to support scalable operational capability delivery. Support implementation and continuous improvement of Agile, Lean, DevSecOps, and delivery management practices supporting operational mission environments. Coordinate configuration management and documentation alignment activities with Knowledge Management and Configuration Management personnel. Support transition planning, operational release coordination, and capability deployment activities aligned to mission readiness objectives. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in related technical or business discipline (or equivalent experience). 5+ years of experience supporting Agile delivery coordination, technical program integration, release management, or operational program execution activities. Strong experience using Jira and Confluence within complex technical, engineering, software development, or operational mission environments. Experience configuring and managing Jira planning and roadmap plugins supporting: o Agile team execution o Dependency management o Program-level scheduling o Release coordination o Enterprise delivery visibility Understanding of Agile methodologies, Scrum, Kanban, Lean delivery practices, and DevSecOps operational models. Familiarity with systems integration, software development, cloud infrastructure, cybersecurity, operational mission systems, or engineering delivery environments. Experience supporting cross-functional technical teams operating within fast-paced operational programs. Strong understanding of dependency management, release coordination, milestone tracking, operational delivery synchronization, and execution risk management. Strong analytical, organizational, facilitation, communication, and stakeholder coordination skills. Proven ability to coordinate execution across multiple technical teams and operational workstreams within classified or mission-critical environments. Desired Qualifications Experience supporting operational Command and Control (C2), mission systems integration, or cloud-native operational environments. Familiarity with Jira Advanced Roadmaps, Structure, BigPicture, Tempo, Jira Align, or equivalent enterprise Agile planning and portfolio management plugins. Experience supporting Agile Release Train (ART), Release Train Engineer (RTE), delivery management, or scaled Agile coordination functions. Familiarity with DevSecOps pipelines, CI/CD workflows, cloud-native delivery environments, and operational integration activities. Experience supporting operational readiness reviews, MVP release coordination, IOC demonstrations, or mission rehearsal activities. SAFe, Scrum Master, PMP, PMI-ACP, ICP-ACC, RTE, or equivalent Agile/program delivery certification preferred. Experience supporting executive-level program reporting, operational dashboards, and integrated delivery metrics within Government or defense programs preferred. $110,000-$145,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PIaa1a5-0638

Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job Description Job Description GXM is seeking a full-time Enterprise Architect to support enterprise architecture development, digital engineering initiatives, and strategic mission integration activities supporting advanced operational Command and Control (C2) environments. The ideal candidate will possess deep expertise in Enterprise Architecture, operational mission systems, Digital Engineering, and Model-Based Systems Engineering (MBSE) with the ability to architect scalable operational solutions across cloud infrastructure, mission applications, operational data environments, cyber security domains and distributed mission systems. This role serves as the strategic architecture authority responsible for defining the target state operational architecture, integrations standards, interoperability frameworks, and long-term scalability model supporting integrated multi-domain mission operations. This individual will support modernization initiatives involving integrated C2 architectures, cloud-native mission systems, operational data fusion environments, AI/ML-enabled analytics platforms, and Joint Force operational integration constructs across defense environments. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the strategic architecture authority for integrated multi-domain C2 mission environment. Develop and maintain enterprise and operational system architectures supporting integrated operational and mission environments. Define and maintain the overall C2 architecture baseline, including operational concepts, integration standards, interface strategies, interoperability frameworks, and long-term scalability models. Apply Model-Based Systems Engineering (MBSE) methodologies to support system architecture development, requirements traceability, integration planning, digital engineering and lifecycle engineering activities. Develop and maintain engineering artifacts, system models, interface definitions, and architecture products, operational workflows, and reference architectures supporting integrated mission operations. Utilize MBSE tools and enterprise architecture frameworks to support digital engineering and operational mission architecture activities. Develop integrated engineering execution plans and schedules using Cameo Systems Modeler or similar enterprise planning tools. Architect scalable cloud, hybrid-cloud, and distributed system environments supporting operational mission needs. Define enterprise integration standards supporting APIs, middleware, event-driven architectures, operational data exchange frameworks, and mission interoperability requirements. Contribute to technical solution development involving AI/ML-enabled operation analytics, DevSecOps pipelines, cybersecurity architectures, software engineering, and operational data fusion capabilities. Develop integrated engineering execution roadmaps, transition architectures, modernization strategies, and scalability frameworks supporting follow-on operational deployment. Collaborate with engineering teams, leadership, and government stakeholders to refine operational mission architectures. U.S. Citizen and Active TS/SCI clearance required. Bachelor's degree in systems engineering, Computer Science, Engineering, Information Systems, or related technical field. 8+ years of experience supporting enterprise architecture, operational mission systems, systems engineering, or strategic modernization initiatives within defense or intelligence environments. Strong understanding of Enterprise Architecture, Digital Engineering, and Model-Based Systems Engineering (MBSE) principles. Experience defining architecture governance standards, integration frameworks, interface strategies, and target-state operational architecture. Experience developing enterprise/system architectures, engineering artifacts, integration strategies, and operational workflows. Experience using Cameo Systems Modeler or other Digital Engineering toolsets to develop operational architecture products, integrated engineering execution models, system interaction diagrams, mission workflows, interface definitions, and requirements traceability artifacts supporting complex mission and operational environments. Understanding of cloud architectures, DevSecOps, cybersecurity, AI/ML, system integration, and enterprise modernization approaches. Strong communication, collaboration, and technical writing skills. Proven ability to communicate complex technical architectures to Government leadership, operational stakeholders, and engineering teams. Desired Qualifications Experience supporting defense, space, or multi-domain operational environments. Experience supporting DoD, federal mission systems, enterprise modernization, or operational C2 environments. Experience with MBSE tools such as Cameo Systems Modeler or other Digital Engineering tools. Expert with DoDAF, UAF, SysML, BPMN, and related enterprise architecture, operational architecture, MBSE frameworks supporting DoD mission engineering and digital engineering initiatives. Experience with enterprise cloud platforms, cloud-native and hybrid-cloud environments, container orchestration technologies, and distributed mission infrastructure supporting secure operational workloads. Knowledge of RMF, DISA STIGs, and Zero Trust cybersecurity frameworks. Experience supporting proposals, capture, or strategic modernization efforts for federal or defense programs. $150,000-$235,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PI3ece787664c8-6194

Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.