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Genesis10 is currently seeking a Senior Data Analyst - Onsite for a Contract-to-Hire position with a Major Insurance Company located in New York, NY. Compensation: $75.00 - $85.00 per hour, W2, based on qualifications Position Overview: As a Senior Data Analyst, this role plays a critical part in advancing stakeholder reporting, data quality, and analytical capabilities. This position owns the end-to-end integration of complex policy, claims, underwriting, and financial data into structured data marts. Combining advanced insurance domain expertise with data analysis and engineering, the ideal candidate will solve complex data challenges, influence decision-making, and identify opportunities to improve operational effectiveness. Key Responsibilities: Design advanced analyses and metrics leveraging AI tools and technology to improve performance, scalability, and reusability of datasets and dashboards Transform complex business requirements into scalable data solutions, analytical frameworks, and actionable insights Analyze policy, claims, underwriting, financial, and operational data to ensure accuracy, completeness, consistency, and regulatory compliance Develop, optimize, and maintain complex SQL queries, data models, reconciliations, and datasets Partner with Data Engineering and Application teams to design and implement data enrichment, transformation, and integration solutions Own data preparation, validation, and reconciliation activities supporting statutory reporting, regulatory filings, and audits Independently diagnose data quality, integration, and reporting issues across multiple systems Build strong partnerships with Compliance, Finance, Underwriting, Claims, Actuarial, and Data Engineering teams Effectively communicate complex analytical findings to both technical and non-technical audiences Mentor and provide guidance to other analysts Primary Requirements: Bachelor's degree in data science, statistics, business analytics, computer science, actuarial science, finance, or a related quantitative field 5+ years of progressive experience in data analysis, business intelligence, analytics, or regulatory reporting Demonstrated experience supporting regulatory, statutory, compliance, or financial reporting processes Strong knowledge of insurance operations and data structures across policy, claims, underwriting, accounting, or finance Advanced proficiency in SQL and experience working with large-scale relational databases and data warehouses Experience with cloud-based data platforms such as Snowflake Experience performing complex data analysis, reconciliation, root-cause investigation, and data quality assessments Proven ability to influence stakeholders and collaborate effectively across technical and business teams Strong verbal, written, presentation, and data storytelling skills Familiarity with AI concepts Strong SQL and a solid understanding of core data warehouse concepts, including data modeling, integration, reconciliation, and data quality An analytics mindset, with the ability to translate business questions into data analysis and actionable insights Data engineering experience is valuable, but not looking for a deeply specialized data engineer. Desired Skills: Master's degree in a quantitative, analytical, or business-related discipline Property & Casualty insurance industry experience, including good working knowledge of P&C insurance fundamentals, particularly policy and claims data and the ability to understand the business meaning behind the data Experience with Python, Power BI, or similar analytical and visualization platforms Experience with data governance frameworks, metadata management, data lineage, and data quality programs Intermediate or advanced Property & Casualty insurance designations (CPCU, AINS, AU, API, or equivalent) Experience partnering with Actuarial teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Genesis10 is seeking a Data Architect for our client in the utilities industry. This long term contract position is located in Dallas, TX 77202. Hybrid schedule 2-3 days onsite. W2 Hourly Pay rate range: ($85-100/hr Depending on experience) Description: We are seeking a Data Architect to own the strategic design and governance of our enterprise data landscape, built on Oracle on-premise database platforms and modeled using Erwin. This role sits above individual project data models: you will define the enterprise-wide data architecture, standards, and target operating model that all data modelers, engineers, and DBAs build against, while personally handling the highest-complexity, highest-volume modeling and architecture decisions across the organization. You will bring proven experience architecting for large-scale data volumes (multi-GB to multi-TB), regulated environments, and the performance, scalability, and integrity demands that come with them. You will also be responsible for assisting in development and management of Data Governance and Master Data Management solutions. You must be comfortable presenting deep technical concepts to non-technical leadership i.e., have good technical and communication skills coupled with the ability to provide technical mentorship. Key Responsibilities Data Architecture & Data Strategy Define and own the enterprise data architecture strategy, including target-state data models, subject area models, and reference architectures across the Oracle on-premise estate. Establish enterprise-wide data modeling standards, naming conventions, and governance policies within Erwin, and ensure consistent adoption across data modeling and engineering teams. Own the enterprise Erwin model repository/mart: subject area organization, model versioning, complex merges, and cross-model consistency at scale. Partner with stakeholders (Application Teams, Enterprise Architecture, business unit leaders) to translate business strategy into a coherent, long-term data architecture roadmap. Evaluate and architect for scalability, performance, and maintainability of Oracle databases handling large data volumes (GB to multi-TB scale), including partitioning, indexing, and storage strategy at the architectural level. Assist in promoting the Data Architecture function to increase the adoption of Data Virtualization (Denodo) across the enterprise. Data Modeling & Design Oversight Design and review conceptual, logical, and physical data models for the most complex, cross-functional, and high-volume domains in the enterprise. Provide architectural review and approval of data models produced by senior/staff data modelers, ensuring alignment with enterprise standards, referential integrity, and downstream performance implications. Lead reverse-engineering and rationalization efforts for large, legacy Oracle schemas, consolidating and simplifying where architecturally sound. Guide both OLTP/3NF and dimensional (star/snowflake) modeling approaches, selecting the right pattern for transactional, operational, and analytical workloads. Governance, Performance & Risk Assist in enriching the enterprise data governance artifacts tied to the architecture: business glossary, data lineage, metadata repository, and data dictionary standards. Lead capacity planning and performance architecture for large Oracle databases anticipating growth in data volume and ensuring the model and physical design scale accordingly. Assess and mitigate architectural risk in schema changes at enterprise scale, including impact analysis across integrated systems. Ensure data architecture practices meet regulatory, security, and compliance requirements applicable to the industry. Establish policies, procedures and guidelines regarding all aspects of Data Governance Master Data Management Assist in establishment of policies, procedures and guidelines regarding all aspects of Master Data Management Ensure Architectural rules and design of the MDM process are documented and best practices are adhered to. Developing a strategic roadmap for MDM, and assisting in developing a roadmap and its implementation Leadership & Collaboration Mentor and provide technical direction to data modelers, ETL developers, and DBAs on modeling best practices, Erwin usage, and Oracle architecture patterns. Act as the primary architectural liaison between business stakeholders, application teams, DBAs, and infrastructure teams. Present architecture decisions, trade-offs, and roadmaps to senior leadership and non-technical stakeholders. Provide mentorship to Data Analysts to ensure data management and design best practices are adhered to. Collaborate with support teams to ensure consistent and proactive support methodologies are in place for all aspects of data movement and data transformation. Required Qualifications 10+ years of experience in data architecture, data modeling, or database engineering, including prior experience as a senior/lead data modeler, solution architect or data architect. Deep, hands-on expertise with Erwin Data Modeler at an enterprise scale (model mart, subject areas, complex compare/merge, versioning across large teams). Strong expertise in Oracle Database (on-premise), including advanced SQL/PL-SQL, schema design, partitioning, indexing strategy, and performance tuning at the architectural level. Demonstrated experience architecting and modeling for large data volumes (GB to multi-TB scale) with a track record of designs that scaled successfully in production. Strong command of data modeling theory (normalization/denormalization, cardinality, keys, referential integrity) and dimensional modeling (star/snowflake) for analytics. Experience defining enterprise data standards, governance frameworks, and metadata/lineage practices. Extensive working knowledge of all aspects of Data Movement and Processing, including Middleware, ETL, API, OLAP and best practices for data tracking Proven ability to operate at the intersection of technical architecture and executive stakeholder management i.e., translating business strategy into data architecture and communicating trade-offs to leadership. Strong written and verbal communication skills, with experience producing architecture documentation, ER diagrams, and data dictionaries for both technical and business audiences. Preferred Qualifications Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance obligations. Experience leading or mentoring a team of data modelers/architects. Previous experience working with PostGres and MongoDB and big plus. Familiarity with complementary data modeling tools such as ER/Studio, Power Designer, Collibra, Alation Exposure to hybrid on-prem/cloud data strategies, even where the primary platform remains Oracle on-premise. Experience with Target Operating Model (TOM) design for data functions. Relevant certifications (OCI, DAMA, CDMP, etc.) is a plus. Experience with Hadoop/MongoDB is a plus Working experience with Denodo is a plus Team Culture: Our team is fast paced, fun, highly energetic, motivated and hardworking. We expect our candidates to be integrated into our results-driven and solution-oriented culture from the get-go. Our team attains high-quality results on challenging projects; the belief that outcomes are linked to one's effort rather than chance and the tendency to personally set challenging yet realistic goals. Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year-in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF & Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Own the deployment path for ML and GenAI models end to end training and inference pipelines, model registry and versioning, serving endpoints, and controlled promotion across development, QA and production. Own runtime health for models in production: monitoring, alerting, drift and quality-regression detection, latency and throughput objectives, capacity and autoscaling behavior, and incident response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege as they change. Own evaluation of agents in production, not just before release. Online scoring and behavioral monitoring, quality-regression and drift detection against pinned baselines, sampling and judge pipelines, and the release-gate mechanics that stop a regression from shipping. Build and maintain the observability and evaluation substrate other teams depend on: trace and telemetry capture including multi-turn and multi-step agent traces, logging standards, evaluation pipeline plumbing, and the data contracts underneath them. Own platform unit economics. Measure and manage cost per inference, per document and per interaction, and produce the platform and infrastructure cost analysis that informs build-versus-buy and hosting decisions. Make the paved road real. Deliver reusable pipeline templates, deployment patterns, reference implementations and internal tooling so product teams adopt the standard path because it is faster, not because it is mandated. Partner with Cloud Engineering, Data Engineering, Security and SRE so the ML platform sits inside enterprise governance, identity and observability rather than beside it. Respond to AI-specific production incidents and drive them to a closed corrective action: prompt injection attempts, rogue-agent cost spikes, data-classification exposure through a tool call, delegation abuse between agents, and model endpoint failures. Maintain the architecture documentation and system diagrams for the ML platform and keep them accurate enough to be used in design review. Mentor engineers and interns on production ML practice and raise the operating standard through design and code review rather than through rework. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Engineering, Statistics or a relevant technical field with at least 7 years of relevant experience, or a Master's degree in one of those fields with at least 5 years of relevant experience. 5+ years building and operating production ML or AI systems, with direct ownership of at least two of: training or inference pipelines, model serving infrastructure, model registry and versioning, or production monitoring and alerting. Demonstrated ownership of a production ML or AI service through its full operating life: deployed it, monitored it, was paged for it, diagnosed a failure, and shipped the fix. Strong Python and SQL, with production-quality engineering practice: version control, testing, code review, and CI/CD applied to ML workloads rather than only to application code. Hands-on experience with a cloud ML platform in production. AWS and Databricks strongly preferred, including model serving, job orchestration, and a model registry or experiment tracking system such as MLflow. Working knowledge of how LLM and GenAI workloads differ operationally from traditional ML: token cost and latency behavior, caching and batching, non-deterministic output. Experience running LLM or agent applications behind a gateway or proxy layer, and able to build best practices for model routing and fallback, credential and key management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization and infrastructure as code. Ability to communicate technical and non-technical trade-offs clearly in writing to an audience that includes both engineers and non-engineers. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred Production experience with GPU-backed model serving, including autoscaling behavior under concurrent load, cold-start management and cost control. Experience with OpenTelemetry and an enterprise observability platform such as Dynatrace, including instrumenting AI workloads rather than only conventional services. Experience with model serving efficiency techniques: quantization, parameter-efficient fine-tuning, distillation or inference optimization. Experience with data governance and access control on a lakehouse platform, such as Databricks Unity Catalog. Experience operating AI systems in a regulated industry, particularly financial services, including auditability, retention and access-control requirements. Experience with agentic or multi-step AI systems in production, including tracing and debugging multi-turn behavior. Hands-on experience with a managed agent or tool gateway, such as AWS Bedrock AgentCore Gateway, and with running MCP servers in a governed environment. Familiarity with emerging agent interoperability and agent identity standards, including Agent2Agent (A2A) style agent-to-agent delegation, agent discovery and capability advertisement, and workload identity for non-human actors. Knowledge and Skills Ability to communicate complex technical information, both verbal and written, to all levels, including senior leadership. Ability to solve problems at the source by offering simple, working solutions. Responds promptly and effectively to resolve incidents, tasks, and projects. Demonstrated ability and motivation to teach others. Ability to gain the trust of others and build solid relationships across and vertically throughout the organization. Effectively prioritize and execute tasks in a high-pressure environment. Target Compensation: This position offers a competitive base salary, with a range of $184,943- $258,920. This position is eligible for an annual variable incentive of cash and equity, between 10- 20% of base salary. Actual amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability . click apply for full job details

ITC Digital Solutions is dedicated to supporting federal agencies through innovative technology solutions that drive mission success. We are seeking a highly motivated, mission-focused Senior ServiceNow Developer to join our growing team supporting a federal customer. This is an exciting opportunity to work on enterprise ServiceNow implementations that enhance operational efficiency, improve service delivery, and support critical government missions. As a Senior ServiceNow Developer, you will play a key role in designing, developing, configuring, and implementing ServiceNow applications and enhancements. You will collaborate closely with stakeholders, administrators, architects, and business teams to deliver scalable solutions while ensuring adherence to platform best practices and development standards. Key Responsibilities Design, develop, configure, and implement ServiceNow applications, modules, and enhancements. Work independently and collaboratively as a senior member of a technical delivery team. Support multiple ServiceNow instances and domains for internal and external customers. Participate in Agile/Scrum ceremonies and contribute to iterative development efforts. Provide technical guidance on ServiceNow design, architecture, development standards, and platform best practices. Collaborate with business, systems, and technology stakeholders to gather, analyze, and translate requirements into technical solutions. Develop and maintain custom ServiceNow functionality, workflows, and integrations. Create and maintain: Business Rules Script Includes Client Scripts Access Control Lists (ACLs) Workflow Activities UI Policies Catalog Items and Catalog Workflows Support deployment and rollout activities for new applications and enhancements. Troubleshoot platform issues and identify opportunities to improve system performance, scalability, and reliability. Ensure solutions align with security, governance, and federal compliance requirements. Contribute to documentation, knowledge transfer, and continuous process improvement initiatives. Required Qualifications Must be able to obtain a U.S. government security clearance. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience). 5+ years of hands-on ServiceNow development experience. Demonstrated experience supporting federal government clients and programs. Strong experience developing custom ServiceNow solutions using JavaScript and platform scripting capabilities. Experience working in Agile/Scrum development environments. Strong analytical, troubleshooting, and problem-solving skills. Ability to communicate effectively with both technical and non-technical stakeholders. Experience translating business requirements into technical designs and implemented solutions. Preferred Qualifications Deep knowledge of the ServiceNow platform and core modules, including: Service Catalog Service Portal Incident Management Knowledge Management Reporting and Dashboards Experience with IT Service Management (ITSM), IT Asset Management (ITAM), and Configuration Management Database (CMDB) processes. Knowledge of ITIL best practices and service management frameworks. Familiarity with PMP, PRINCE2, or related project management methodologies. Experience supporting enterprise-scale ServiceNow environments. Experience performing data analysis, data modeling, and working with large datasets. Understanding of software development lifecycle (SDLC) principles and enterprise application support. Experience with platform performance monitoring, optimization, and governance. Preferred Certifications ServiceNow Certified Application Developer (CAD) Additional ServiceNow certifications are highly desirable ITIL Foundation Certification preferred About ITC Digital Solutions: ITC Digital Solutions, a division of ITC Federal, delivers advanced technology solutions that help federal agencies modernize systems, harness data and AI, and adopt emerging technologies to advance their missions. Building on more than two decades of public sector experience, the team brings deep expertise in IT strategy, application development and testing, digital modernization, data and AI, and technology transformation across civilian, health, national security, and defense agencies. Disclaimer All qualified applicants will be considered for employment based on their skills and merit. Please be aware that ITC may capture your image (video or screenshot) during the interview process, and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the U.S. must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the U.S. by ITC. ITC discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors considered in making compensation decisions, including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales- or revenue-based metrics, and business or organizational needs. At ITC, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $120,000-$150,000. Full-time regular employees are eligible for paid time off, medical, dental, and vision insurance, a 401(k), and any other benefits available to eligible employees. Note: No amount of pay is considered wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or other form of compensation allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with applicable law. Equal Opportunity Employer/Protected Veterans The contractor will not discharge or otherwise discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as part of their essential job functions may not disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge; (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer; or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c).

Job Description Job Description Lead our most strategic enterprise agentic AI engagements, and set the standard for how Intelligence Center X is brought to customers. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise and operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It is how we establish value with customers: where they see the use case come to life, and where we earn the right to move forward. Our lighthouse customers for ICX also help guide our development priorities across industry verticals and use cases. Key Responsibilities The role ICX Principals are our most experienced ICX engineers. You lead the ideation and creation of our most strategic customer engagements - modelling complex domains as enterprise ontologies, designing agents and machine learning that reason over them and act on them, and delivering agentic applications that compel customers to invest in Intelligence Center X with Siemens. This is a global role. You are based in the Americas, and you support opportunities worldwide within your areas of expertise. You: Lead the most complex engagements - first-of-a-kind and hands-on, often combining ICX with Siemens' wider industrial software portfolio. Set the standard - for how ICX is positioned and implemented, through reference architectures, patterns and value cases the field builds from. Help shape the ICX roadmap - align roadmap and implementation, carry use cases and requirements back into product, and make what works repeatable. Identify and create opportunities for Siemens ICX R&D to work directly with lighthouse customers on new use cases. Engage executives and strategic partners - build and defend the business case with senior customer stakeholders, mobilize Siemens leadership, and lead strategic partnerships with GSIs, ISVs and hyperscalers. You work alongside sales leadership, our ICX Engineering teams, strategic partners and R&D. An example engagement A manufacturer's leadership wants to know whether agentic AI can improve a mission-critical process that stretches across their enterprise. The use case has first-of-a-kind requirements, and the answer depends on connecting engineering, manufacturing, supplier and service data owned by four different organizations. You frame the ambition with the executive sponsor, architect the enterprise ontology and the agentic approach, and guide the team that builds it. Along the way, you bring in R&D to explore how the product can improve based on the customer's use case and requirements. Requirements Who you are You are an experienced architect who is hands-on with agentic AI and ontology. You design end-to-end solutions, and you still build. You lead at the executive level. You build and defend business cases with executives, and you can mobilize a large organization to unblock what a deal team cannot. You build for reuse. Your patterns outlive your engagements, and others build on them. You are entrepreneurial. You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined - with some of the largest companies in the world. Skills and experience We look for experience in the following areas. Technical leadership on strategic enterprise accounts - leading complex, first-of-a-kind solutions with executive buyers. Senior technical consulting - leading strategic agentic AI, data and analytics engagements for client executives at a consultancy or systems integrator. Solution architecture - end-to-end design across enterprise ontology, agentic applications and machine learning. Ecosystem positioning - showing where ICX is differentiated and where it complements the platforms a customer already has, so it fits their enterprise agentic AI architecture. Data engineering and analytics - making sense of how a company's data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms - experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI - designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP. Agentic development tools - Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well. Enterprise ontology - modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise. Machine learning and data science - building models that solve real business problems, such as forecasting, anomaly detection or classification. Industrial software - product lifecycle management, manufacturing operations or industrial IoT. Industry depth - manufacturing, engineering, supply chain, pharma, aerospace or financial services. Travel Some travel is expected, up to 25%. Global travel is possible, though not required. For people who want to spend even more time on site with customers, there is room for it. Why Join Us Grow with ICX. Lead as Siemens brings Intelligence Center X to the market as a leading industrial AI platform. Shape the global practice. The standards you set become how ICX is built and positioned in every zone. The problem every enterprise is working on. Agentic AI grounded in a company's own data and context. Direct influence on the product. You lead the engagements that help shape the ICX roadmap. Compensation and Benefits The pay range for this position is $197,300-$394,600 annually. The actual wage offered may be lower or higher within this range depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Siemens offers a comprehensive benefits package that includes health, dental, and vision insurance, a 401(k) plan with company match, paid time off, and professional development opportunities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) position title within PNC's name of division organization, you will be based in city/state location of position . Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As an Data Architect Senior within PNC's Technology organization, you will be based in Cleveland, OH or Pittsburgh, PA. We are seeking a Senior Data Architect to define, govern, and evolve the Asset Management Group (AMG) domain data architecture supporting analytical, operational, and digital capabilities across the organization. This role is responsible for establishing architectural direction, defining, or adhering to target-state data platforms, and guiding the implementation of modern data ecosystems that enable data-driven business capabilities. The architect will partner with engineering teams, enterprise architecture, application development, and business stakeholders to ensure that data solutions are scalable, secure, governed, and aligned with long-term strategic objectives. The ideal candidate possesses deep expertise in distributed data platforms, large-scale data processing, and modern data architecture patterns, with experience leading technology modernization initiatives and defining reference architectures for enterprise data environments. Additional Key responsibilities - Define and maintain target-state architecture for domain analytical and operational data platforms. - Lead architecture efforts to evolve legacy data platforms toward modern lakehouse and open-data architectures. - Define migration strategies for existing Hadoop-based analytical environments and data workloads. - Evaluate emerging technologies and industry trends to improve scalability, interoperability, operational efficiency, and long-term sustainability. - Drive adoption of modern data management practices, storage architectures, metadata strategies, and platform operating models. - Help develop architecture roadmaps that align business priorities, technology strategy, and data modernization initiatives. - Provide architectural leadership for strategic initiatives involving analytics, operational intelligence, AI/ML, digital applications, and enterprise integration. - Conduct architecture reviews and provide guidance to delivery teams throughout the solution lifecycle. - Collaborate with Enterprise Architecture to align data solutions with broader technology strategies. - Mentor engineers, solution architects, and development teams on data architecture best practices. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Designs, develops and optimizes highly complex, specialized data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. Analyzes business intelligence data and makes recommendations for data warehouse growth and integration for the enterprise. Works with IT and business customers to develop requirements for designing the overall data warehouse architecture. Provides support and technical guidance to ensure architecture and framework are aligned with BI application needs. . Leads and consults on the implementation and integration of data warehouses; ensures data is current and meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsBusiness Intelligence (BI), Cloud Computing, Database Design, Data Governance, Data Integration, Data Migrations, Data Modeling, Data Warehousing (DW), Solution Architecture, Structured Query Language (SQL) CompetenciesConsulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis Work ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationBachelors CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $112,000.00 - $228,800.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 10/27/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Job Description Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As an Data Architect Senior within PNC's Technology organization, you will be based in Cleveland, OH or Pittsburgh, PA. We are seeking a Senior Data Architect to define, govern, and evolve the Asset Management Group (AMG) domain data architecture supporting analytical, operational, and digital capabilities across the organization. This role is responsible for establishing architectural direction, defining, or adhering to target-state data platforms, and guiding the implementation of modern data ecosystems that enable data-driven business capabilities. The architect will partner with engineering teams, enterprise architecture, application development, and business stakeholders to ensure that data solutions are scalable, secure, governed, and aligned with long-term strategic objectives. The ideal candidate possesses deep expertise in distributed data platforms, large-scale data processing, and modern data architecture patterns, with experience leading technology modernization initiatives and defining reference architectures for enterprise data environments. Additional Key responsibilities - Define and maintain target-state architecture for domain analytical and operational data platforms. - Lead architecture efforts to evolve legacy data platforms toward modern lakehouse and open-data architectures. - Define migration strategies for existing Hadoop-based analytical environments and data workloads. - Evaluate emerging technologies and industry trends to improve scalability, interoperability, operational efficiency, and long-term sustainability. - Drive adoption of modern data management practices, storage architectures, metadata strategies, and platform operating models. - Help develop architecture roadmaps that align business priorities, technology strategy, and data modernization initiatives. - Provide architectural leadership for strategic initiatives involving analytics, operational intelligence, AI/ML, digital applications, and enterprise integration. - Conduct architecture reviews and provide guidance to delivery teams throughout the solution lifecycle. - Collaborate with Enterprise Architecture to align data solutions with broader technology strategies. - Mentor engineers, solution architects, and development teams on data architecture best practices. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Designs, develops and optimizes highly complex, specialized data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. Analyzes business intelligence data and makes recommendations for data warehouse growth and integration for the enterprise. Works with IT and business customers to develop requirements for designing the overall data warehouse architecture. Provides support and technical guidance to ensure architecture and framework are aligned with BI application needs. . Leads and consults on the implementation and integration of data warehouses; ensures data is current and meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsBusiness Intelligence (BI), Cloud Computing, Database Design, Data Governance, Data Integration, Data Migrations, Data Modeling, Data Warehousing (DW), Solution Architecture, Structured Query Language (SQL) CompetenciesConsulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis Work ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationBachelors CertificationsNo Required Certification(s) LicensesNo Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $112,000.00 - $228,800.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 10/27/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Job Description Job Description Description: Leading with our people, Digital Consultants' mission is to deliver the highest level of professional solutions while being a trusted partner and advisor to our customers. With a culture of practicality, opportunity, and creativity we remain dedicated to being honest, trustworthy, respectful, and ethical in everything we do. We are a certified SBA 8(a) small, disadvantaged business that supports multiple IT customers within the Federal, civilian, and private sectors. Digital Consultants also offers our employees growth opportunities, competitive wages, and a full benefits package. Our founding principles, Fairness and Common Sense make working here more than a job; we are a Digital family. Location: Fort Huachuca, AZ Digital Consultants is seeking an expert Principal T&E Integrator to serve as a senior technical integrator within our test team, responsible for harmonizing test and evaluation standards across five National Security programs. Leveraging extensive expertise in Test and Evaluation, this expert provides critical QA/QC, technical, and task management support to the Test Manager and Task Leads. The Principal T&E Integrator focuses on elevating the quality and consistency of test processes by mentoring teams on the development of milestone briefings, test plans, and evaluation reports. They will ensure high standards for data collection methodologies, analytical rigor, operational realism, and secure execution of all test activities. Ultimately, this role translates complex technical data, test anomalies, and system performance into high-impact, clear operational assessments, providing senior leaders with the trusted insights necessary for critical deployment decisions. Key Responsibilities: Track, drive, and perform rigorous Quality Assurance/Quality Control (QA/QC) on program-wide OT&E tasks and deliverables, directly supporting the Test Manager and Task Leads to ensure test plans and execution scenarios maintain high operational realism. Ensure executive-level operational assessments that translate complex technical data, anomalies, and system performance into clear insights for senior stakeholders. Mentor evaluation teams through complex data analysis, stress-testing data collection methodologies to ensure results are mathematically sound and operationally relevant. Support the evaluation of secure voice and data pipelines under simulated threat conditions to validate operational survivability and compliance. Oversee the integration of sensitive cryptographic systems, keyed assets, and secure communication networks throughout the testing lifecycle. Requirements: Required Clearance: Must possess and be able to maintain an active Top Secret/SCI security clearance with Polygraph. Education & Core Experience: Leadership Experience: 10+ years of leadership experience, including at least 4 years at the field grade officer, senior warrant officer, senior NCO, or civilian equivalent (e.g., O4/CW3/E8/GS-13) level supporting the Department of War (DoW). T&E Experience: 5+ years of dedicated Test & Evaluation (T&E) experience. Education: Master's degree in engineering, Cybersecurity, Computer Science, Operations Research, or a related technical field (or a bachelor's degree with 6 additional years of relevant experience). Domain Expertise & Leadership: Mastery of T&E methodologies, test design, and statistical data analysis. Exceptional technical writing and briefing skills tailored for senior military and civilian stakeholders/leadership. Proven ability to lead and mentor multi-disciplinary test teams, engineering specialists, and security personnel in high-pressure environments. Unwavering commitment to maintaining operational security, system integrity, and analytical excellence across all test programs. Desired/Preferred Qualifications: 10+ years of National Security Systems experience. Communications Security (COMSEC) operational or testing experience. Formal Government or DoD-approved COMSEC Custodian / COMSEC Management training. DoD 8570.01-M IAM Level III certification (e.g., CISSP, CISM, or GSLC) or IASAE Level III architecture certifications (e.g., CISSP-ISSAP, CISSP-ISSEP). Defense Acquisition: Demonstrated mastery of DAWIA T&E Level III standards (or equivalent GS-14/15 military/civilian T&E experience and training. Benefits: The company offers the following benefits to permanent, full-time employees: Paid Time Off (PTO) Group health plans Income protection and supplemental benefits 401(k) plan with company matching Health Savings Account (HSA) Flexible Spending Account (FSA) Pet insurance options Employee Assistance Program (EAP) Digital Consultants, an inclusive and welcoming company, is fully committed to hiring and retaining a diverse workforce without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), genetic information, national origin, age (40 or older), disability, Veterans status or any other protected characteristic. We provide reasonable accommodations to individuals who need assistance during any part of the employment process. If you need assistance navigating Digital Consultants job openings or applying for a position, please send an email to or call . Please provide your contact information and let us know how we can assist you.

Job Description Job Description Lead our most strategic enterprise agentic AI engagements, and set the standard for how Intelligence Center X is brought to customers. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise and operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It is how we establish value with customers: where they see the use case come to life, and where we earn the right to move forward. Our lighthouse customers for ICX also help guide our development priorities across industry verticals and use cases. Key Responsibilities The role ICX Principals are our most experienced ICX engineers. You lead the ideation and creation of our most strategic customer engagements - modelling complex domains as enterprise ontologies, designing agents and machine learning that reason over them and act on them, and delivering agentic applications that compel customers to invest in Intelligence Center X with Siemens. This is a global role. You are based in the Americas, and you support opportunities worldwide within your areas of expertise. You: Lead the most complex engagements - first-of-a-kind and hands-on, often combining ICX with Siemens' wider industrial software portfolio. Set the standard - for how ICX is positioned and implemented, through reference architectures, patterns and value cases the field builds from. Help shape the ICX roadmap - align roadmap and implementation, carry use cases and requirements back into product, and make what works repeatable. Identify and create opportunities for Siemens ICX R&D to work directly with lighthouse customers on new use cases. Engage executives and strategic partners - build and defend the business case with senior customer stakeholders, mobilize Siemens leadership, and lead strategic partnerships with GSIs, ISVs and hyperscalers. You work alongside sales leadership, our ICX Engineering teams, strategic partners and R&D. An example engagement A manufacturer's leadership wants to know whether agentic AI can improve a mission-critical process that stretches across their enterprise. The use case has first-of-a-kind requirements, and the answer depends on connecting engineering, manufacturing, supplier and service data owned by four different organizations. You frame the ambition with the executive sponsor, architect the enterprise ontology and the agentic approach, and guide the team that builds it. Along the way, you bring in R&D to explore how the product can improve based on the customer's use case and requirements. Requirements Who you are You are an experienced architect who is hands-on with agentic AI and ontology. You design end-to-end solutions, and you still build. You lead at the executive level. You build and defend business cases with executives, and you can mobilize a large organization to unblock what a deal team cannot. You build for reuse. Your patterns outlive your engagements, and others build on them. You are entrepreneurial. You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined - with some of the largest companies in the world. Skills and experience We look for experience in the following areas. Technical leadership on strategic enterprise accounts - leading complex, first-of-a-kind solutions with executive buyers. Senior technical consulting - leading strategic agentic AI, data and analytics engagements for client executives at a consultancy or systems integrator. Solution architecture - end-to-end design across enterprise ontology, agentic applications and machine learning. Ecosystem positioning - showing where ICX is differentiated and where it complements the platforms a customer already has, so it fits their enterprise agentic AI architecture. Data engineering and analytics - making sense of how a company's data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms - experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI - designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP. Agentic development tools - Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well. Enterprise ontology - modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise. Machine learning and data science - building models that solve real business problems, such as forecasting, anomaly detection or classification. Industrial software - product lifecycle management, manufacturing operations or industrial IoT. Industry depth - manufacturing, engineering, supply chain, pharma, aerospace or financial services. Travel Some travel is expected, up to 25%. Global travel is possible, though not required. For people who want to spend even more time on site with customers, there is room for it. Why Join Us Grow with ICX. Lead as Siemens brings Intelligence Center X to the market as a leading industrial AI platform. Shape the global practice. The standards you set become how ICX is built and positioned in every zone. The problem every enterprise is working on. Agentic AI grounded in a company's own data and context. Direct influence on the product. You lead the engagements that help shape the ICX roadmap. Compensation and Benefits The pay range for this position is $197,300-$394,600 annually. The actual wage offered may be lower or higher within this range depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Siemens offers a comprehensive benefits package that includes health, dental, and vision insurance, a 401(k) plan with company match, paid time off, and professional development opportunities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Braze is seeking a Staff Machine Learning Engineer to join our Predictive and Generative AI (PGAI) team. The team's mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. We run those solutions as production systems at global scale, from the distributed pipelines that train models for each customer to the high-throughput APIs that serve predictions into our messaging systems across multiple regions. You will own the platform underneath, and you will make deploying, operating, and scaling ML at Braze fast, safe, and efficient. As the Staff Engineer on the team, you will: Identify and drive the transformative initiatives that change how the team runs ML in production, whether that's replatforming our queueing and orchestration, overhauling deployment and cloud identity, or retiring a generation of infrastructure Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most complex infrastructure initiatives yourself from design through production. Current examples include multi-region model serving fleets, the pipelines that keep hundreds of customer-specific models healthy, and the CI and deployment tooling that moves it all safely Own the platform's technical vision and production quality bar. Set direction for how models are trained, deployed, served, and observed; lead incident response for ML systems; and drive the reliability and cost work that keeps the platform efficient at scale Drive initiatives that span teams. Our platform builds on shared infrastructure, deployment tooling, and data systems owned with partner teams, and you carry the technical relationships with those teams Raise the team's engineering quality through design review, code review, and production readiness for ML systems, and mentor other senior engineers and data scientists Connect technical decisions to customer and business outcomes, and represent the team's technical perspective to product and engineering leadership WHO YOU ARE 8+ years building and operating distributed systems in production, with depth in deployment and operations. You have designed services for scale and reliability, owned CI/CD and infrastructure as code, and run what you built under production load Hands-on experience with ML workloads in production. Training pipelines, model serving, feature systems, or ML platform tooling all count; deep modeling experience is a plus rather than a requirement A technical leader who has owned direction for a team, led multi-quarter initiatives across team boundaries, and grown senior engineers, all while keeping a high personal output Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access management, networking, and the cost profile of what you run An effective communicator, both verbal and written, whose designs and recommendations build consensus and drive forward decision making Bonus: Queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray ML platform tooling such as MLflow or another model registry, feature stores, or ML observability Experience in our stack (Python, Ruby on Rails, MongoDB, Redis, Kubernetes) Operating under compliance regimes such as SOX or HIPAA Customer engagement, personalization, or marketing technology domain experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,000/year, with an expected On Target Earnings (OTE) between $204,000 and $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. . click apply for full job details

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details