48 jobs found

About GreenPath GreenPath Financial Wellness is a national nonprofit organization dedicated to empowering people to lead financially healthy lives. We provide counseling, education, and innovative solutions to help individuals and families achieve their financial goals. Our mission-driven culture values collaboration, integrity, and continuous improvement. Position Purpose The Business Analyst serves as a critical liaison between business stakeholders, Product Management, data teams, and IT delivery teams. This role is responsible for leading requirements gathering and analysis across both IT application and data initiatives, ensuring business needs are translated into clear, actionable specifications for system creation, enhancements, data solutions, reporting, and analytics. The Business Analyst partners closely with Product Managers, Product Owners and stakeholders to drive high-quality, user-centered solutions that align with organizational strategy and deliver measurable business value. Main Responsibilities & Duties Business & Requirements Analysis Elicit, analyze, and document clear functional and non functional requirements by partnering closely with Product Managers, Product Owners, business stakeholders and technical stakeholders Ask appropriate curiosity questions to uncover implicit needs (e.g., performance, security, scalability, usability, compliance) to resolve ambiguity and translate complex business problems into precise, testable requirements that reduce rework and drive high quality delivery. Translate needs into clear specifications, including requirements documents, user stories, acceptance criteria, and process diagrams. Identify requirements interdependencies and, as appropriate, work with the Product Owner, Scrum Master and/or technical team to determine development order. Document data lineage, transformations, and calculations in application requirements. Data & Analytics Requirements Analysis Lead requirements gathering for data initiatives, including reports, dashboards, visualizations, and analytics solutions. Lead the effort to document and control project scope and gather stakeholder signoff on scope and requirements Analyze and document source data structures, data transformations, and data warehouse mappings. Perform data discovery and validation to ensure reporting and analytics solutions meet business requirements. Create and maintain enterprise data assets such as data catalogs, data dictionaries, and data flow diagrams. Contribute to enterprise data strategy in collaboration with Data Engineers, Product Owners, and Data Analysts. Solution Delivery & Collaboration Work closely with Developers, Data Engineers, and Infrastructure teams to ensure shared understanding of requirements and solution design. Incorporate usability, user experience, and human-centered design principles into solution definition. Support agile delivery teams by maintaining backlogs, refining user stories, and providing ongoing clarification during development. Testing, Release & Change Enablement Contribute to user acceptance testing (UAT), including test case creation, execution support, and defect triage. Support release activities and deployments. Assist with training, documentation, and communication to support adoption of delivered solutions. Continuous Improvement & Innovation Leverage AI and automation tools to improve efficiency in creating requirements, user stories, and test artifacts. Participate in brainstorming and discovery sessions related to data trends, data quality, process improvement, and innovation. Promote continuous improvement, quality outcomes, and stakeholder satisfaction. Perform other duties as assigned. Professional Knowledge, Skills & Abilities Bachelor's degree in Information Technology, Business, or a related field, or equivalent experience. 3-5 years of experience as a business analyst, including requirements gathering for application development, data, reporting, or analytics initiatives. GreenPath experience may be substituted. Experience writing clear business and technical requirements and test specifications preferred. Experience with Agile methodologies (Scrum, Kanban) preferred. Experience using tools and/or writing requirements for salesforce or PowerBI strongly preferred. Familiarity with tools such as Azure DevOps, Vizio, Drawio, Figma, Mural, CoPilot preferred. Experience documenting requirements for data projects involving SQL, Power BI, and relational or dimensional data models preferred. Familiarity or eagerness to learn data warehousing, operational reporting, and business intelligence concepts. Experience in financial services or call center environments preferred. Qualities & Characteristics Strong analytical and problem-solving skills with high attention to detail. Demonstrated agility in critical thinking and proactive inquiry to gain deeper understanding. Ability to understand complex business processes and technical concepts. Self-motivated, dependable, and able to manage multiple priorities. Committed to quality, continuous improvement, and delivering value on time and within scope. Communication Skills Excellent written, verbal, and interpersonal communication skills. Ability to translate complex technical concepts into clear, business-friendly language and vice versa. Skilled facilitator of meetings and workshops that drive alignment and actionable outcomes. Strong collaborator who builds effective relationships across business and technical teams. Working Conditions & Physical Requirements This position is primarily sedentary, desk-based work. On an infrequent basis, after hours/weekend work to assist with releases or project deadlines is necessary. Travel is less than 5%. Benefits At GreenPath, we offer a comprehensive benefits package designed to support your well-being and professional growth: Competitive salary and performance-based incentives Health, dental, and vision insurance 403(b) retirement plan with employer contributions Generous paid time off and holidays Tuition reimbursement and professional development opportunities Mission-driven work environment focused on making a positive impact Equal Employment Opportunity Statement GreenPath is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

The Doctors Company is seeking a Manager Engineering & Sr Data Architect to join our team. This is a hybrid opportunity preferably located at our office in New York City, or any other TDC Group or ProAssurance office location. The Manager Engineering & Sr Data Architect will lead the Data and AI architecture and engineering function as a technical manager with direct accountability for team performance, staffing, talent development, technical direction, and delivery. This is a team leader role that supervises a team of data engineers, analytics engineers, and architects. The role owns Microsoft Fabric architecture, enterprise data and semantic modeling, integration design, and governed AI enablement while building an engaged, capable, and accountable team. Qualifications: Bachelor's or master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field; equivalent experience considered. 10+ years of deep enterprise data, analytics, engineering, or architecture experience with accountability for architecture decisions in production. 3+ years directly managing and supervising data engineers, analytics engineers, architects, or similar technical staff, including managing a team through change. Direct accountability for hiring, onboarding, goal setting, performance reviews, coaching, career development, workload planning, succession planning, employee relations, and retention. Hands-on expertise with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, security, and capacity governance). Expertise in enterprise data and semantic modeling: conceptual, logical, physical, dimensional, and canonical models; data contracts; Power BI semantic models; lineage; RLS/OLS/CLS; and performance tuning. Strong SQL, Python, PySpark, Delta Lake, batch, CDC, streaming, API, DataOps, automated testing, CI/CD, observability, and cost-management experience. Constructive, solution-oriented leadership and strong executive communication; regulated-industry experience (insurance, healthcare, or financial services) preferred. People Leadership, Performance & Team Development Clearly define and communicate team roles, expectations, and responsibilities. Provide coaching, guidance, and support to help employees achieve performance and development goals Deliver consistent, constructive, feedback to recognize achievements, address challenges, and reinforce desired behaviors. Conduct regular 1:1 meeting and ensure timely completion of performance review cycles, maintaining alignment and accountability. Hold staff accountable for compliance with organizational policies and standards. Foster a culture of continuous learning, innovation, and accountability by encouraging team members to pursue new challenges and opportunities. Model and reinforce organizational values, actively recognizing and celebrating behaviors that exemplify them. Microsoft Fabric Architecture & Platform Delivery Own the end-to-end Microsoft Fabric reference architecture across OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, domains, and capacities. Lead the team delivering foundational Fabric patterns and priority platform components; stay hands-on for high-risk design, prototyping, review, and troubleshooting. Define medallion, batch, CDC, streaming, mirroring, shortcut, deployment, security, monitoring, and capacity-management patterns. Maintain current architecture diagrams, standards, roadmaps, architecture decisions, and implementation guardrails. Enterprise Data, Semantic Model & Integration Architecture Own conceptual, logical, physical, canonical, dimensional, and enterprise semantic model standards across policy, claims, provider, patient safety, underwriting, actuarial, and finance domains. Establish Power BI semantic model standards for measures, calculation groups, naming, certified datasets, reuse, refresh, performance, lineage, ownership, and RLS/OLS/CLS. Define data contracts, model versioning, metadata, glossary, master/reference data, ontology, and knowledge-graph alignment. Design secure integrations across Fabric, Azure, operational systems, content platforms, and external providers using APIs, events, CDC, streaming, files, and batch patterns. Engineering Excellence, Governance, Reliability & Cost Establish Git-based delivery, pull-request review, automated testing, CI/CD, environment promotion, release, rollback, observability, incident response, and operational-readiness standards. Define service objectives and telemetry for pipelines, capacities, semantic models, AI services, and critical data products; lead root-cause analysis and durable remediation without blame. Embed least privilege, secrets management, PHI/PII controls, sensitivity, retention, data quality, lineage, auditability, and responsible AI controls into delivery patterns. Forecast, monitor, explain, and optimize platform capacity, compute, storage, licensing, and vendor cost against business value. Strategic Partnership, Communication & Change Leadership Translate strategy and ambiguous business needs into decision-ready options, recommendations, diagrams, roadmaps, staffing plans, and executable work for technical and executive audiences. Partner with Enterprise Architecture, Security, Infrastructure, Governance, Claims, Underwriting, Actuarial, Reporting, Legal/Compliance, Finance, and vendors to resolve tradeoffs and dependencies. Communicate risks early with context, impact, options, and a recommended action; represent decisions with composure, transparency, and sound judgment. Lead adoption of architecture standards and new ways of working through stakeholder engagement, education, measurement, and reinforcement. Learning, Development, & Compliance Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Other Duties as Assigned Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Salary Range: $124,548 - $163,879. This position is eligible for participation in the Company's Short-Term Incentive Plan (STIP), offering additional compensation driven by individual and company performance. Compensation is determined based on factors such as skills, experience, education, and market considerations. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive pay. Salary may also include additional geographic differential for employees working in higher-cost labor markets, including states such as New York and California. While the posted range reflects our anticipated hiring range, we remain open to considering candidates with exceptional qualifications, specialized expertise, or directly relevant experience that may warrant compensation outside of that range. Benefits We offer competitive compensation, an incentive bonus plan, outstanding career opportunities, an exceptional work environment, and an impressive benefits package, which starts with medical, family and bereavement leave; same-sex domestic partner benefits; short- and long-term disability programs; and an employee assistance program. There's more: Health, dental, and vision insurance Health care tax-free spending accounts with a company match 401(k) and Roth IRA with company match, as well as catch-up plans for both Vacation days, sick days, and paid personal days each calendar year (with vacation increases based on length of service) Paid holidays each calendar year Life and travel insurance Tax-free commuter benefits In-person and online learning opportunities Cross-function career opportunities Business casual work environment Time off to volunteer Matching donations to qualifying nonprofit organizations . click apply for full job details

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Overview The Sr Application Engineer Architect will serve as a senior technical leader within Cadence's North America Field Applications Team, driving strategic customer engagements and influencing next-generation EDA & Agentic-AI solutions. This role demands exceptional technical depth, proven leadership, and the ability to align cross-functional teams toward delivering advanced design solutions for leading semiconductor companies. Key Responsibilities Strategic Leadership: Define and execute technical engagement strategies for top semiconductor design team, ensuring alignment with corporate objectives and customer success metrics. Customer Advocacy: Act as a trusted advisor for executive-level stakeholders, guiding adoption of Cadence's digital implementation, signoff technologies and AgenticAI features across advanced nodes (3nm and below). Team Development: Lead and mentor a high-performing team of Application Engineers, fostering technical excellence and career growth. Cross-Functional Collaboration: Partner with R&D and Product Engineering to influence tool enhancements based on real-world customer requirements. Innovation & Enablement: Drive complex benchmarks, flow optimizations, and deployment of cutting-edge methodologies for Synthesis, P&R, STA, IR Drop, and power/timing closure. Thought Leadership: Represent Cadence at industry forums, author technical papers, and deliver keynote presentations to position Cadence as a market leader. Operational Excellence: Establish best practices for engagement models, resource planning, and technical escalations to ensure timely and successful project execution. Qualifications 20+ years of experience in IC design implementation and signoff, with demonstrated success in managing large-scale technical programs. BS/MS in Electrical Engineering, Computer Engineering, or related field. Deep expertise in digital design fundamentals, advanced node implementation (3nm and below), and EDA tool ecosystems. Proven track record of leading technical teams and driving customer success at executive levels. Strong proficiency in scripting (Tcl, Python, Perl) and flow customization for design closure. Excellent communication, negotiation, and leadership skills with the ability to influence internal and external stakeholders. Prior experience with Cadence tools (Genus, Innovus, Tempus, Voltus, Conformal, Cerebrus) and competitive solutions highly desirable. The annual salary range for California is $210,000 to $390,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more. We're doing work that matters. Help us solve what others can't.

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Financial Platform Eng team is part of Block's platform engineering org, with a mandate to run the foundational financial technology infrastructure supporting all our brands. Our charter includes building scalable, reliable, and forward-looking financial infrastructure, from revenue streams to reconciliations to GL to street reporting. This team powers key business functions spanning the CFO org and aids at strategic decision-making. As a Software Engineer, you'll design and build the backend services, integrations, and workflow engines that keep the foundational financial operations running. Often you will focus on transforming complex financial requirements into scalable technology solutions - with a specific emphasis on AI enablement. We are an AI-driven engineering team - we use agentic coding tools across our entire development lifecycle, from design exploration through implementation and review, and we expect every engineer to do the same. Success in this role depends on strong collaboration with cross-functional partners including Accounting, FP&A, Tax, Procurement, Product, TPMs, Engineering, and Data teams. The ability to operate across these verticals while maintaining a horizontal architectural perspective is key to our impact. You Will Build financial operations and reporting infrastructure - Design and implement backend services for Accounting, FP&A, Tax, Procurement while keeping the company compliant. Lead a platform migration - Architect the migration of business-critical workflows from legacy vendor platforms to Block's internal systems, ensuring zero disruption to agents and customers during cutover Design workflow and automation systems - Build configurable workflow engines, rules-based routing, and event-driven automations that reduce manual effort and scale across multiple business lines Own integrations end-to-end - Design, build, and maintain integrations between internal platforms and external systems ( middleware, workforce management, Oracle fusion, Salesforce etc) using APIs, event streams, and messaging patterns Partner across the business - Work directly with operations, compliance, and product stakeholders to translate complex financial and regulatory requirements into well-architected technical solutions Ensure compliance and data integrity - Build systems with audit trails, access controls, and data governance baked in - not bolted on - to meet regulatory requirements across multiple jurisdictions Lead technical discussions - Drive architecture decisions, contribute to design reviews, and mentor engineers; raise the bar on code quality, testing, and operational reliability Direct AI agents across the full development lifecycle - from prototyping and implementation to debugging and code review - operating as the architect and decision-maker while AI handles the building Expand what's possible with AI tooling - identify opportunities to automate repetitive engineering work, improve code quality through AI-driven review, and share effective patterns with your team You Have Embrace an AI-first mentality. Leverage AI to augment your knowledge and capability in navigating development in complex systems with confidence. Familiar with agentic engineering. 6+ working on complex systems and delivering quality software, with clear expertise developed in one or more technical areas. Strong fundamentals in distributed systems design - you've built services that handle high throughput, manage state across systems, and degrade gracefully Experience with workflow or state machine systems - you've designed systems where entities move through complex lifecycles with branching logic, SLAs, and human-in-the-loop steps Proficiency in building and maintaining APIs and integrations - REST, gRPC, event-driven architectures, and data synchronization across multiple platforms Experience working on financially sensitive or regulated systems - you understand why idempotency, audit trails, data retention, and access controls matter and you build for them by default Strong collaboration skills and the ability to work effectively with non-technical stakeholders - translating ambiguous business requirements from operations, compliance, and risk teams into well-scoped engineering work Nice to Have Experience with platform migrations - moving business-critical systems between platforms with zero customer impact and phased rollout strategies Background in financial services domains - accounting, revenue forecasting, treasury operations, tax operations. Experience building multi-tenant or multi-BU platforms - systems that serve different business lines with shared infrastructure but configurable behavior Experience with operational analytics - building data pipelines or reporting systems that give operations leaders real-time visibility into performance Technologies We Use and Teach AI-Driven Development: Claude Code, Goose (Block's open-source AI agent), Cursor, GitHub Copilot, Anthropic's Model Context Protocol (MCP) Languages: Kotlin, Java, Python, JavaScript Protocols: HTTP, JSON, gRPC, Protocol Buffers Data: DynamoDB, MySQL, Kafka, Snowflake Infrastructure: AWS, Kubernetes Observability: DataDog, Prometheus Feature Management: LaunchDarkly We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page. While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted. Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location's zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $217,800-$326,800 USD Zone B: $207,000-$310,400 USD Zone C: $196,100-$294,100 USD Zone D: $185,200-$277,800 USD Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Privacy Policy

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Financial Platform Eng team is part of Block's platform engineering org, with a mandate to run the foundational financial technology infrastructure supporting all our brands. Our charter includes building scalable, reliable, and forward-looking financial infrastructure, from revenue streams to reconciliations to GL to street reporting. This team powers key business functions spanning the CFO org and aids at strategic decision-making. As a Software Engineer, you'll design and build the backend services, integrations, and workflow engines that keep the foundational financial operations running. Often you will focus on transforming complex financial requirements into scalable technology solutions - with a specific emphasis on AI enablement. We are an AI-driven engineering team - we use agentic coding tools across our entire development lifecycle, from design exploration through implementation and review, and we expect every engineer to do the same. Success in this role depends on strong collaboration with cross-functional partners including Accounting, FP&A, Tax, Procurement, Product, TPMs, Engineering, and Data teams. The ability to operate across these verticals while maintaining a horizontal architectural perspective is key to our impact. You Will Build financial operations and reporting infrastructure - Design and implement backend services for Accounting, FP&A, Tax, Procurement while keeping the company compliant. Lead a platform migration - Architect the migration of business-critical workflows from legacy vendor platforms to Block's internal systems, ensuring zero disruption to agents and customers during cutover Design workflow and automation systems - Build configurable workflow engines, rules-based routing, and event-driven automations that reduce manual effort and scale across multiple business lines Own integrations end-to-end - Design, build, and maintain integrations between internal platforms and external systems ( middleware, workforce management, Oracle fusion, Salesforce etc) using APIs, event streams, and messaging patterns Partner across the business - Work directly with operations, compliance, and product stakeholders to translate complex financial and regulatory requirements into well-architected technical solutions Ensure compliance and data integrity - Build systems with audit trails, access controls, and data governance baked in - not bolted on - to meet regulatory requirements across multiple jurisdictions Lead technical discussions - Drive architecture decisions, contribute to design reviews, and mentor engineers; raise the bar on code quality, testing, and operational reliability Direct AI agents across the full development lifecycle - from prototyping and implementation to debugging and code review - operating as the architect and decision-maker while AI handles the building Expand what's possible with AI tooling - identify opportunities to automate repetitive engineering work, improve code quality through AI-driven review, and share effective patterns with your team You Have Embrace an AI-first mentality. Leverage AI to augment your knowledge and capability in navigating development in complex systems with confidence. Familiar with agentic engineering. 6+ working on complex systems and delivering quality software, with clear expertise developed in one or more technical areas. Strong fundamentals in distributed systems design - you've built services that handle high throughput, manage state across systems, and degrade gracefully Experience with workflow or state machine systems - you've designed systems where entities move through complex lifecycles with branching logic, SLAs, and human-in-the-loop steps Proficiency in building and maintaining APIs and integrations - REST, gRPC, event-driven architectures, and data synchronization across multiple platforms Experience working on financially sensitive or regulated systems - you understand why idempotency, audit trails, data retention, and access controls matter and you build for them by default Strong collaboration skills and the ability to work effectively with non-technical stakeholders - translating ambiguous business requirements from operations, compliance, and risk teams into well-scoped engineering work Nice to Have Experience with platform migrations - moving business-critical systems between platforms with zero customer impact and phased rollout strategies Background in financial services domains - accounting, revenue forecasting, treasury operations, tax operations. Experience building multi-tenant or multi-BU platforms - systems that serve different business lines with shared infrastructure but configurable behavior Experience with operational analytics - building data pipelines or reporting systems that give operations leaders real-time visibility into performance Technologies We Use and Teach AI-Driven Development: Claude Code, Goose (Block's open-source AI agent), Cursor, GitHub Copilot, Anthropic's Model Context Protocol (MCP) Languages: Kotlin, Java, Python, JavaScript Protocols: HTTP, JSON, gRPC, Protocol Buffers Data: DynamoDB, MySQL, Kafka, Snowflake Infrastructure: AWS, Kubernetes Observability: DataDog, Prometheus Feature Management: LaunchDarkly We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page. While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted. Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location's zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $217,800-$326,800 USD Zone B: $207,000-$310,400 USD Zone C: $196,100-$294,100 USD Zone D: $185,200-$277,800 USD Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Privacy Policy

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details

Work From HomeWork From Home Work From Home, Indiana 46544 The AI Enablement Manager leads the coordination, execution, and oversight of the organization's AI initiatives to ensure safe, compliant, and value driven adoption of artificial intelligence across clinical, research, operational, and enterprise domains. This role operationalizes AI governance framework, manages the AI initiative portfolio, and ensures alignment with regulatory requirements, organizational priorities, and risk management standards. This function drives the structured intake, review, monitoring, reporting, and lifecycle management processes to support responsible and scalable AI deployment. Serving as a central connector across Franciscan Alliance, this role partners with clinical, technical, legal, compliance, security, and operational teams to ensure AI solutions are evaluated, implemented, and monitored consistently and transparently. In addition, the AI Enablement Manager champions AI literacy, promotes responsible use practices, and supports change management efforts to help Franciscan Alliance adopt AI safely and effectively. This role plays a critical part in maturing the organization's AI operating model, enabling innovation while safeguarding patient safety, data integrity, and organizational trust, while supporting the AI governance council and steering committees in fulfillment of charter responsibilities. WHO WE ARE Franciscan Health is a leading healthcare organization dedicated to providing exceptional patient care and promoting health and wellness in our community. Our mission is to ensure that every patient receives the highest quality of care through innovation, compassion, and excellence. With 11 ministries and access points across Indiana, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers who provide compassionate, comprehensive care for our patients and the communities we serve. PREFERRED EXPERIENCE Demonstrated expertise in data governance frameworks, data quality principles, data privacy regulations, and AI ethics. Applies knowledge to identify opportunities and develop solutions. Strong program/portfolio management experience in IT healthcare. Proven ability to collaboratively design and facilitate governance frameworks and operational structures from the ground up. WHAT YOU CAN EXPECT Coordinate cross-functional review and assessment of AI driven solutions across clinical, operational, technical, compliance, privacy, legal, and security teams. AI Governance Lead execution of the enterprise AI governance framework and oversee end-to-end AI lifecycle management. AI Regulations Monitor evolving AI regulations and industry best practices; translate requirements into program and control enhancements. Supporting Council Manage the centralized AI governance program supporting AI governance council, Clinical/Business AI steering committees, and overall executive oversight. Cases Ensure AI initiatives include documented use cases, architecture reviews, risk assessments, data lineage, bias evaluation, and control frameworks. Stakeholders Facilitate enterprise-wide stakeholder collaboration and governance alignment, working with committee co-chairs and senior leaders across IS and operations. Inventory Maintain the enterprise AI inventory with full traceability, documentation standards, model metadata, and audit readiness. Governance Define technical governance controls including model validation standards, monitoring requirements, performance thresholds, and change management protocols. Working Sessions Lead working sessions with business and technical teams to clarify requirements and ensure alignment. Implementation Oversee implementation of model monitoring, drift detection, incident response processes, and remediation tracking. Reporting Provide executive reporting on AI risk posture, safety, adoption, performance, and enterprise impact. Guidance Provide clear technical and governance guidance on lifecycle expectations, documentation standards, and risk controls. Policies Create and update AI policies, standards, and acceptable use guidelines. Programs Lead enablement programs, training, and communication to help teams understand AI policies, risks, and best practices. QUALIFICATIONS Required Bachelor's Degree Business, Computer Science, Engineering, Information Systems, Public Health, or related field Preferred Master's Degree Business, Computer Science, Engineering, Information Systems, Public Health, or related field 8 years Program management in data governance, analytics, information services, or related field. Required 5 years Setting up and scaling program, governance or oversight processes across a maturing data and/or AI portfolio. Required 2 years Measuring and reporting AI performance, safety, value, and risk across the AI lifecycle. Preferred 2 years Managing AI, analytics, or model-based systems in healthcare or other regulated industries. Preferred 1 year Utilizing healthcare AI governance frameworks and regulatory standards (e.g., NIST, ISO, FDA, HIPAA). Preferred TRAVEL IS REQUIRED: Never or RarelyJOB RANGE:AI Enablement Manager $108,638.40 - $149,385.6INCENTIVE: EQUAL OPPORTUNITY EMPLOYER It is the policy of Franciscan Alliance to provide equal employment to its employees and qualified applicants for employment as otherwise required by an applicable local, state or Federal law. Franciscan Alliance reserves a Right of Conscience objection in the event local, state or Federal ordinances that violate its values and the free exercise of its religious rights. Franciscan Alliance is committed to equal employment opportunity. Franciscan provides eligible employees with comprehensive benefit offerings. Find an overview on the benefit section of our career site, jobs.franciscanhealth.org.

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details

Work From HomeWork From Home Work From Home, Indiana 46544 The AI Enablement Manager leads the coordination, execution, and oversight of the organization's AI initiatives to ensure safe, compliant, and value driven adoption of artificial intelligence across clinical, research, operational, and enterprise domains. This role operationalizes AI governance framework, manages the AI initiative portfolio, and ensures alignment with regulatory requirements, organizational priorities, and risk management standards. This function drives the structured intake, review, monitoring, reporting, and lifecycle management processes to support responsible and scalable AI deployment. Serving as a central connector across Franciscan Alliance, this role partners with clinical, technical, legal, compliance, security, and operational teams to ensure AI solutions are evaluated, implemented, and monitored consistently and transparently. In addition, the AI Enablement Manager champions AI literacy, promotes responsible use practices, and supports change management efforts to help Franciscan Alliance adopt AI safely and effectively. This role plays a critical part in maturing the organization's AI operating model, enabling innovation while safeguarding patient safety, data integrity, and organizational trust, while supporting the AI governance council and steering committees in fulfillment of charter responsibilities. WHO WE ARE Franciscan Health is a leading healthcare organization dedicated to providing exceptional patient care and promoting health and wellness in our community. Our mission is to ensure that every patient receives the highest quality of care through innovation, compassion, and excellence. With 11 ministries and access points across Indiana, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers who provide compassionate, comprehensive care for our patients and the communities we serve. PREFERRED EXPERIENCE Demonstrated expertise in data governance frameworks, data quality principles, data privacy regulations, and AI ethics. Applies knowledge to identify opportunities and develop solutions. Strong program/portfolio management experience in IT healthcare. Proven ability to collaboratively design and facilitate governance frameworks and operational structures from the ground up. WHAT YOU CAN EXPECT Coordinate cross-functional review and assessment of AI driven solutions across clinical, operational, technical, compliance, privacy, legal, and security teams. AI Governance Lead execution of the enterprise AI governance framework and oversee end-to-end AI lifecycle management. AI Regulations Monitor evolving AI regulations and industry best practices; translate requirements into program and control enhancements. Supporting Council Manage the centralized AI governance program supporting AI governance council, Clinical/Business AI steering committees, and overall executive oversight. Cases Ensure AI initiatives include documented use cases, architecture reviews, risk assessments, data lineage, bias evaluation, and control frameworks. Stakeholders Facilitate enterprise-wide stakeholder collaboration and governance alignment, working with committee co-chairs and senior leaders across IS and operations. Inventory Maintain the enterprise AI inventory with full traceability, documentation standards, model metadata, and audit readiness. Governance Define technical governance controls including model validation standards, monitoring requirements, performance thresholds, and change management protocols. Working Sessions Lead working sessions with business and technical teams to clarify requirements and ensure alignment. Implementation Oversee implementation of model monitoring, drift detection, incident response processes, and remediation tracking. Reporting Provide executive reporting on AI risk posture, safety, adoption, performance, and enterprise impact. Guidance Provide clear technical and governance guidance on lifecycle expectations, documentation standards, and risk controls. Policies Create and update AI policies, standards, and acceptable use guidelines. Programs Lead enablement programs, training, and communication to help teams understand AI policies, risks, and best practices. QUALIFICATIONS Required Bachelor's Degree Business, Computer Science, Engineering, Information Systems, Public Health, or related field Preferred Master's Degree Business, Computer Science, Engineering, Information Systems, Public Health, or related field 8 years Program management in data governance, analytics, information services, or related field. Required 5 years Setting up and scaling program, governance or oversight processes across a maturing data and/or AI portfolio. Required 2 years Measuring and reporting AI performance, safety, value, and risk across the AI lifecycle. Preferred 2 years Managing AI, analytics, or model-based systems in healthcare or other regulated industries. Preferred 1 year Utilizing healthcare AI governance frameworks and regulatory standards (e.g., NIST, ISO, FDA, HIPAA). Preferred TRAVEL IS REQUIRED: Never or RarelyJOB RANGE:AI Enablement Manager $108,638.40 - $149,385.6INCENTIVE: EQUAL OPPORTUNITY EMPLOYER It is the policy of Franciscan Alliance to provide equal employment to its employees and qualified applicants for employment as otherwise required by an applicable local, state or Federal law. Franciscan Alliance reserves a Right of Conscience objection in the event local, state or Federal ordinances that violate its values and the free exercise of its religious rights. Franciscan Alliance is committed to equal employment opportunity. Franciscan provides eligible employees with comprehensive benefit offerings. Find an overview on the benefit section of our career site, jobs.franciscanhealth.org.

Work From HomeWork From Home Work From Home, Indiana 46544 The AI Enablement Manager leads the coordination, execution, and oversight of the organization's AI initiatives to ensure safe, compliant, and value driven adoption of artificial intelligence across clinical, research, operational, and enterprise domains. This role operationalizes AI governance framework, manages the AI initiative portfolio, and ensures alignment with regulatory requirements, organizational priorities, and risk management standards. This function drives the structured intake, review, monitoring, reporting, and lifecycle management processes to support responsible and scalable AI deployment. Serving as a central connector across Franciscan Alliance, this role partners with clinical, technical, legal, compliance, security, and operational teams to ensure AI solutions are evaluated, implemented, and monitored consistently and transparently. In addition, the AI Enablement Manager champions AI literacy, promotes responsible use practices, and supports change management efforts to help Franciscan Alliance adopt AI safely and effectively. This role plays a critical part in maturing the organization's AI operating model, enabling innovation while safeguarding patient safety, data integrity, and organizational trust, while supporting the AI governance council and steering committees in fulfillment of charter responsibilities. WHO WE ARE Franciscan Health is a leading healthcare organization dedicated to providing exceptional patient care and promoting health and wellness in our community. Our mission is to ensure that every patient receives the highest quality of care through innovation, compassion, and excellence. With 11 ministries and access points across Indiana, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers who provide compassionate, comprehensive care for our patients and the communities we serve. PREFERRED EXPERIENCE Demonstrated expertise in data governance frameworks, data quality principles, data privacy regulations, and AI ethics. Applies knowledge to identify opportunities and develop solutions. Strong program/portfolio management experience in IT healthcare. Proven ability to collaboratively design and facilitate governance frameworks and operational structures from the ground up. WHAT YOU CAN EXPECT Coordinate cross-functional review and assessment of AI driven solutions across clinical, operational, technical, compliance, privacy, legal, and security teams. AI Governance Lead execution of the enterprise AI governance framework and oversee end-to-end AI lifecycle management. AI Regulations Monitor evolving AI regulations and industry best practices; translate requirements into program and control enhancements. Supporting Council Manage the centralized AI governance program supporting AI governance council, Clinical/Business AI steering committees, and overall executive oversight. Cases Ensure AI initiatives include documented use cases, architecture reviews, risk assessments, data lineage, bias evaluation, and control frameworks. Stakeholders Facilitate enterprise-wide stakeholder collaboration and governance alignment, working with committee co-chairs and senior leaders across IS and operations. Inventory Maintain the enterprise AI inventory with full traceability, documentation standards, model metadata, and audit readiness. Governance Define technical governance controls including model validation standards, monitoring requirements, performance thresholds, and change management protocols. Working Sessions Lead working sessions with business and technical teams to clarify requirements and ensure alignment. Implementation Oversee implementation of model monitoring, drift detection, incident response processes, and remediation tracking. Reporting Provide executive reporting on AI risk posture, safety, adoption, performance, and enterprise impact. Guidance Provide clear technical and governance guidance on lifecycle expectations, documentation standards, and risk controls. Policies Create and update AI policies, standards, and acceptable use guidelines. Programs Lead enablement programs, training, and communication to help teams understand AI policies, risks, and best practices. QUALIFICATIONS Required Bachelor's Degree Business, Computer Science, Engineering, Information Systems, Public Health, or related field Preferred Master's Degree Business, Computer Science, Engineering, Information Systems, Public Health, or related field 8 years Program management in data governance, analytics, information services, or related field. Required 5 years Setting up and scaling program, governance or oversight processes across a maturing data and/or AI portfolio. Required 2 years Measuring and reporting AI performance, safety, value, and risk across the AI lifecycle. Preferred 2 years Managing AI, analytics, or model-based systems in healthcare or other regulated industries. Preferred 1 year Utilizing healthcare AI governance frameworks and regulatory standards (e.g., NIST, ISO, FDA, HIPAA). Preferred TRAVEL IS REQUIRED: Never or RarelyJOB RANGE:AI Enablement Manager $108,638.40 - $149,385.6INCENTIVE: EQUAL OPPORTUNITY EMPLOYER It is the policy of Franciscan Alliance to provide equal employment to its employees and qualified applicants for employment as otherwise required by an applicable local, state or Federal law. Franciscan Alliance reserves a Right of Conscience objection in the event local, state or Federal ordinances that violate its values and the free exercise of its religious rights. Franciscan Alliance is committed to equal employment opportunity. Franciscan provides eligible employees with comprehensive benefit offerings. Find an overview on the benefit section of our career site, jobs.franciscanhealth.org.

Position Summary Samsung Ads focuses on enabling brands to connect with Samsung audiences across all devices. As an international company, Engineers at Samsung work on big complex projects with stakeholders and teams located around the globe. Our purpose is to deliver unparalleled results for our customers. Samsung Ads uniquely transforms the advertising landscape by using comprehensive data to build the world's most intelligent connected audience platform. We deliver on Samsung Electronics' 51-year commitment to excellence through smart, easy, effective advertising solutions to make advanced video advertising work. Role and Responsibilities What you will do As a Senior GenAI Engineer, you will be the hands-on driving force behind AI-powered productivity and automation across Samsung Ads. Reporting to the IT Director, you will work directly with non-technical teams across every department to identify, build, deploy, and scale Generative AI solutions that fundamentally improve how people work. You will partner closely with a dedicated Product Owner and the Principal Architect from Engineering to shape and execute our GenAI enablement roadmap. While Engineering builds core platform capabilities, your focus is on the last mile - putting powerful, safe, and practical AI tools directly into the hands of business users. A critical dimension of this role is designing and orchestrating agentic AI workflows - multi-step, autonomous processes where AI agents plan, reason, use tools, and execute complex tasks with minimal human intervention. As enterprises shift from simple prompt-based AI interactions toward agentic architectures, you will be responsible for identifying where autonomous AI workflows can replace manual, multi-step business processes - and building them safely within Samsung's governance framework. You are expected to be opinionated, delivery-oriented, and security-conscious in everything you do. Key Responsibilities Design, build, and deploy GenAI-powered automation and productivity solutions for business teams across Sales, Marketing, Finance, HR, Legal, and Operations. Architect and implement complex agentic workflows that enable AI agents to autonomously handle multi-step business processes - including task decomposition, tool orchestration, decision-making loops, and human-in-the-loop checkpoints where required. Design and maintain multi-agent orchestration patterns, where specialized AI agents collaborate on complex tasks such as document analysis, research synthesis, data transformation, and cross-system process automation. Serve as the primary hands-on technical resource for our AI tooling ecosystem, including AWS Bedrock, Claude, AnythingLLM, and our homegrown GenAI platform built on open-source tools. Identify high-impact use cases through direct engagement with business stakeholders, translating pain points into practical AI-driven workflows - with a specific focus on processes that benefit from autonomous, adaptive execution rather than simple prompt-response interactions. Build and maintain custom AI agents, prompt chains, RAG pipelines, and integrations tailored to departmental needs. Integrate agentic AI workflows with existing enterprise applications and business systems (e.g., CRM, HRIS, finance tools, collaboration platforms) to enable end-to-end process automation across departments. Define guardrails, escalation paths, and human oversight mechanisms for agentic workflows to ensure autonomous AI actions remain safe, auditable, and aligned with Samsung's internal policies. Develop evaluation frameworks for AI tools and agentic systems based on production requirements - including accuracy benchmarks, latency, cost-per-task, and compliance criteria - not vendor demos. Evaluate and recommend new AI tools and vendors in collaboration with the Architecture team, including hands-on proof-of-concepts to support build-vs-buy decisions. Ensure every AI solution deployed adheres to Samsung's internal security and privacy policies, including data classification requirements mandated by HQ (South Korea). Proactively assess data exposure risks of any AI tool or workflow before deployment and maintain a clear inventory of all AI tools, their data flows, and classification levels. Define and track KPIs for every AI initiative: workflows automated, hours saved, adoption rates, and user satisfaction. Develop training sessions, documentation, and self-service resources to accelerate AI adoption among non-technical users. (Nice-to-have) Required Skills And Experience 3+ years of hands-on experience with Generative AI tools and platforms, with a proven track record of delivering successful productivity or automation projects adopted by real users. 5+ years of experience in IT, automation, systems engineering, or a related technical role. Proven experience delivering at least one end-to-end production deployment of a GenAI or agentic AI system in an enterprise environment - not just prototypes or POCs, but solutions actively used by business teams. Strong hands-on proficiency with AWS Bedrock, Anthropic Claude (API, Claude Code, prompt engineering), and open-source AI tooling. Demonstrated experience designing agentic AI workflows - including multi-agent orchestration, tool-use patterns, autonomous task execution, and deterministic execution patterns suitable for enterprise environments. Experience with agentic AI frameworks and protocols such as Model Context Protocol (MCP), LangGraph, Claude Agent SDK, Amazon Bedrock Agents, CrewAI, or equivalent orchestration tools for building autonomous, multi-step AI workflows. Understanding of agentic design patterns: reflection, planning, tool use, multi-agent collaboration, human-in-the-loop checkpoints, and error recovery strategies. Working experience with RAG architectures, vector databases, embeddings, and self-hosted AI knowledge base platforms (e.g., AnythingLLM). Proficiency in Python for scripting, automation, and AI tool integration. Strong understanding of data classification frameworks, LLM-specific risks (data leakage, prompt injection, hallucination, unintended autonomous actions), and corporate security policies in a multinational enterprise environment. Experience working with non-technical stakeholders and translating business needs into technical solutions. A solution-oriented, opinionated approach - you have a clear point of view on what works, what scales, and what's hype. Highly organized and able to manage multiple priorities in a fast-paced environment. Strong communication skills and the ability to convey AI capabilities and limitations to any audience. Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent practical experience). Skills and Qualifications Nice-to-Have Experience with Model Context Protocol (MCP) for building tool-integrated AI agents at scale. Experience integrating AI workflows with enterprise business systems (Salesforce, SAP, ServiceNow, Workday, or similar). Background in Ad Tech or experience working in a digital advertising environment. Familiarity with change management frameworks and delivering training/enablement programs at scale. Experience navigating multinational corporate governance structures (especially APAC-headquartered companies). Relevant certifications: AWS AI Practitioner, AWS ML Specialty, Anthropic Claude certification, or equivalent. Experience building or managing AI Centers of Excellence or similar enablement functions. Fluency in Korean. Why This Role Is Different Unlike GenAI roles buried inside engineering orgs building internal tooling, this position puts you at the center of a company-wide AI transformation. You will have direct visibility with business leadership, a mandate to move fast, and the autonomy to shape how an entire organization works with AI. You won't be optimizing model benchmarks - you'll be measured on business impact. Workflows automated. Hours saved. Teams empowered. Processes reinvented. If you've been looking for a role where Generative AI meets real-world business problems at scale, and where you have the freedom to be opinionated about how to solve them, this is it. If you're interested in joining a growing team building an outstanding, world-class advertising organization with a relentless focus on design and customer experience, you've come to the right place! Salary Range Pay Transparency: Compensation for this role, for candidates based in New York, NY is expected to be between Base range: $170,000 $210,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves . click apply for full job details

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL , Ethernet, NVLink, PCIe , and UALink semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at . Role Overview Astera Labs is seeking a Principal Product Applications Engineer to join our Taurus Ethernet Smart Cable Modules team and drive customer success at the forefront of AI infrastructure connectivity. As data centers scale to meet explosive AI workload demands, our Taurus products are enabling the high-bandwidth, low-latency Ethernet fabric connections that power next-generation GPU clusters and disaggregated computing architectures. In this role, you'll be the technical expert customers rely on to successfully deploy Taurus Ethernet solutions in their most demanding environments. You'll work hands-on with hyperscalers, OEMs, and AI system builders to debug complex physical layer challenges, deliver technical enablement, and ensure seamless product integration. Your customer insights will directly influence how we evolve our products to meet the market's most pressing connectivity needs. This is a unique opportunity to combine deep Ethernet and physical layer expertise with meaningful customer impact at a hyper-growth company defining the future of AI connectivity. You'll collaborate across engineering, sales, and product teams while building relationships with the world's most innovative technology companies. Key Responsibilities Customer Technical Engagement Serve as the primary technical resource for customers evaluating and deploying Taurus Ethernet Smart Cable Modules Deliver technical presentations, product training, and hands-on demonstrations to customer engineering teams Build trusted relationships with key accounts and drive successful product adoption System-Level Debug & Validation Support Lead root cause analysis and debugging of complex Ethernet physical layer and link issues in customer systems Support customer lab bring-up, characterization, and system validation activities Develop and execute test plans to reproduce and resolve customer-reported issues Technical Documentation & Enablement Create application notes, integration guides, and best practices documentation for Ethernet system implementation Develop technical collateral that accelerates customer time-to-deployment Contribute to product documentation including datasheets and user guides Cross-Functional Collaboration Partner with product management and engineering to translate customer feedback into product requirements Support sales teams with technical expertise during pre-sales and post-sales engagements Represent voice of the customer in internal roadmap discussions and feature prioritization Willingness to travel for work within US and to Asia. Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or related field 8+ years of experience in applications engineering, technical support, or system engineering roles Strong understanding of Ethernet physical layer specifications (100G/200G/400G/800G) Hands-on experience with lab equipment including oscilloscopes, protocol analyzers, and BER test tools Experience debugging high-speed serial interfaces and signal integrity challenges Excellent written and verbal communication skills with ability to convey complex technical concepts Preferred Qualifications Experience with optical modules, active cables, or similar high-speed connectivity components Familiarity with AI/ML system architectures, GPU clusters, or data center networking Background in signal integrity analysis and simulation Scripting proficiency (Python, TCL) for test automation and data analysis Prior experience working with hyperscale or enterprise data center customers Knowledge of Ethernet consortium specifications and industry standards Salary range is $158,400 to $230,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL , Ethernet, NVLink, PCIe , and UALink semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at . Role Overview Astera Labs is seeking a Principal Product Applications Engineer to join our Aries PCIe Retimer team and serve as a critical technical bridge between our customers and engineering organization. As AI infrastructure demands explode, our Aries Smart Retimers are enabling the high-speed, low-latency PCIe connectivity that powers the world's most advanced data centers-and you'll be at the center of that growth. In this high-impact role, you'll work directly with hyperscalers, OEMs, and system builders to drive successful adoption of our Aries PCIe products. You'll combine deep technical expertise with customer-facing skills to solve complex system-level challenges, create compelling technical documentation, and influence product direction based on real-world customer needs. This is an opportunity to shape how next-generation AI and cloud infrastructure connects and scales. You'll collaborate cross-functionally with design engineering, validation, sales, and marketing teams while building strong relationships with customers who are defining the future of computing. If you thrive at the intersection of cutting-edge silicon and customer success, this role offers exceptional visibility and impact. Key Responsibilities Customer Technical Engagement Serve as the primary technical resource for customers during pre-sales evaluation and post-sales deployment of Aries PCIe retimers Deliver technical presentations, product training, and demonstrations to customer engineering teams Build trusted advisor relationships with key accounts and drive product adoption System-Level Debug & Validation Support Lead root cause analysis and debugging of complex PCIe signal integrity and protocol issues in customer systems Support customer lab bring-up, characterization, and validation activities Develop and execute test plans to reproduce and resolve customer-reported issues Technical Documentation & Enablement Create application notes, reference designs, and best practices guides for PCIe system implementation Develop collateral that accelerates customer time-to-deployment Contribute to product documentation including datasheets and user guides Cross-Functional Collaboration Partner with product management and engineering to translate customer feedback into product requirements Support sales teams with technical expertise during customer engagements Represent the voice of the customer in internal roadmap and feature discussions Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or related field 8+ years of experience in applications engineering, technical support, or system engineering roles Strong understanding of PCIe architecture, protocol, and electrical specifications (Gen4/Gen5/Gen6) Hands-on experience with lab equipment including oscilloscopes, protocol analyzers, and BERT tools Experience debugging high-speed serial interfaces at both the physical and protocol layers Excellent written and verbal communication skills with ability to explain complex technical concepts Develop and modify firmware using C to implement features, optimize performance, and resolve technical issues Travel to customer sites worldwide to provide on-site technical support, conduct system integration, and drive issue resolution Preferred Qualifications Experience with PCIe retimers, redrivers, or similar connectivity components Familiarity with server, storage, or GPU system architectures Background in signal integrity analysis and simulation tools Scripting proficiency (Python, TCL) for test automation and data analysis Prior experience working directly with hyperscale or enterprise data center customers Track record of creating high-quality technical documentation and application notes Salary range is $170,500 to $220,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is seeking Forward Deployed Engineers . As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on the C3 AI Platform, working directly with customers to design, develop, and deploy production applications, demos, and proofs-of-technology. An ideal candidate possesses strategic and analytical aptitude, software development expertise, and excellent interpersonal skills. Responsibilities Develop and deploy applications. Engineer full-stack, AI-based enterprise applications on the C3 AI Platform. Mentor junior team members. Share coding standards and design techniques with less experienced engineers. Conduct design and code reviews. Review customer software applications for quality, architecture, and best practices. Test and enhance customer applications. Troubleshoot, test, and improve customer software applications directly and on behalf of customers. Deliver technical enablement. Lead technical deep-dives, product demonstrations, and customer training sessions. Write documentation. Produce application specifications, technical documentation, and supporting artifacts. Identify and mitigate risk. Continuously surface technical risks and gaps; devise mitigation strategies in anticipation of customer needs. Drive product improvement. Work closely with product management and engineering to improve the overall quality of C3 AI software. Qualifications Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study. 2+ years of professional software development experience with object-oriented programming languages. Strong verbal and written communication skills; ability to work effectively on a cross-functional team. Analytical and problem-solving abilities. Organizational skills and attention to detail. Ability to travel as needed. Preferred qualifications Graduate degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study. Experience deploying enterprise-scale applications. Experience working in a customer-facing role. Software development experience with JavaScript and Python. Experience with Git or other version control software. Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $120,000-$158,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL , Ethernet, NVLink, PCIe , and UALink semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at . Job Description: As an Astera Labs Firmware Product Application Engineer , you will sit at the intersection of firmware engineering and customer-facing technical engagement. You will help enable Leo CXL Smart Memory Controllers at hyperscale customers and OEM partners - assisting with firmware bring-up, validation, and customer issue resolution from early silicon through production ramp. You will help to provide technical guidance to customers to overcome design challenges, generate collateral for existing and new products, and drive innovation by providing insightful feedback to other internal teams to continuously improve products and processes. There are opportunities to support key customers directly, and also to dive deep in the lab to address the challenges associated with leading edge semiconductor products. This position is required onsite in San Jose, CA. Key Responsibilities Assist with customer engagements for Leo CXL Smart Memory Controllers, including bring-up support, feature enablement, and issue triage on customer platforms Develop, validate, and debug firmware using C and Python across Leo's PCIe/CXL and DDR memory subsystems Assist with end-to-end firmware validation of DDR4/DDR5 DRAM interfaces, including initialization, training, RAS (Reliability, Availability, Serviceability) features, and performance tuning Collaborate with cross-functional teams (FW engineering, HW, systems, product management) to help deliver firmware releases and customer collateral on schedule Develop and maintain Python-based test scripts, automation frameworks, and diagnostic tools to support validation and customer debug workflows Contribute to technical documentation including application notes, release notes, design guides, and customer-facing collateral Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Science, or a related technical field; Master's degree preferred Professional attitude with the ability to prioritize a dynamic list of tasks and work with minimal guidance Entrepreneurial, open-minded behavior and can-do attitude - think and act fast with the customer in mind! Authorized to work in the US and available to start immediately Required Experience Proficiency in C for embedded firmware development in RTOS environments Proficiency in Python for scripting, test automation, and diagnostic tooling Knowledge with firmware bring-up, debug, and validation of memory or I/O subsystems on server platforms Strong debugging skills with the ability to triage and root-cause issues in complex embedded systems Familiarity with SoC interfaces including DDR controllers, PCIe controllers, and on-chip memory subsystems Knowledge of developer workflows: SCM (preferably Git), code reviews, CI/CD pipelines Technical writing skills to generate clear, precise documentation including application notes and similar guides for internal and customer-facing audiences. Preferred experience Working knowledge of CXL (Compute Express Link) - CXL 1.1/2.0/3.0 - including memory expansion, pooling, and sharing concepts Experience with PCIe endpoint firmware at the PHY, Link, and Transaction layers; familiarity with PCIe enumeration, MSI/MSI-X, SR-IOV, and error handling Knowledge of high-speed memory interfaces - DDR4 and/or DDR5 DRAM - including initialization sequences, training algorithms, timing margins, and ECC/RAS features Hands-on experience with PCIe/CXL protocol analyzers, BERT, and other lab debug equipment Familiarity with BIOS/BMC/OS interactions with PCIe/CXL devices and MMIO/RAS concepts Experience with server memory performance tuning - latency and bandwidth optimization Prior customer-facing or field applications experience in a semiconductor or systems company is a strong plus The base pay for this range is between $140,000 - $150,000 dependent on education level. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

Are you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace. About the role: As a Copilot Adoption Specialist, you will scale the Microsoft 365 Copilot adoption and enablement across the enterprise. You will add capacity to sustain adoption at scale while keeping pace with ongoing platform changes, partnering with partners to drive measurable growth in usage and engagement. The specialist translates evolving Copilot capabilities into practical business scenarios and contributes to a scalable enablement model that supports continued expansion of Copilot across the organization. You will report to the Manager, User Experience & Collaboration and be located at Cranberry Township, PA. This is a hybrid role. Key Responsibilities: Track new Microsoft 365 Copilot capabilities and map them to practical business use cases in consideration of enterprise needs. Support and expand the Copilot champion program across departments, including engagement schedule, content development, and feedback collection. Lead Center of Excellence activities, including enablement sessions, office hours, and structured use case sharing. Work with partners to identify opportunities to improve productivity and collaboration through use of Copilot. Support development of adoption metrics, governance approaches, communications, and reporting tied to usage and value realization. Contribute to standardized enablement materials, guides, and guidance to provide a consistent user experience across the organization. Improve measurable growth in Copilot usage across assigned departments. Develop relationships with champions and partners to sustain a feedback and improvement loop. Help enable enterprise-wide agentic AI management strategies Qualifications: Bachelor's degree in Information Technology, Business, Communications, or equivalent experience Minimum 1-2 years of experience supporting user adoption, training, or enablement initiatives at scale Translate technical capabilities into clear, practical guidance Working knowledge of Microsoft 365 platforms (Teams, Outlook, SharePoint, OneDrive, Power Platform) and how Copilot integrates across them Experience supporting user adoption, training, or enablement programs at scale Engage with all partners, across departments Manage multiple workstreams in a fast-evolving environment Handle diverse situations and rapidly changing priorities with deadlines Communicate and collaborate with clients, peers, and management to troubleshoot issues, and recommend and implement solutions Must have experience driving customer success We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $69,200 to $86,500 per year. Why Westinghouse? Our benefits package is tailored to meet the diverse needs of our employees, while also promoting wellness and career growth. The following are representative of what we offer: Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members 401(k) with Company Match Contributions to support employees' retirement Paid Vacations and Company Holidays Opportunities for Flexible Work Arrangements to promote work-life balance Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers Global Recognition and Service Programs to celebrate employee accomplishments and service Employee Referral Program Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system: Safety and Quality Integrity and Trust Customer Focus and Innovation Speed and Passion to Win Teamwork and Accountability While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries. You can learn more by visiting . Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities Get connected with Westinghouse on social media: Twitter Facebook LinkedIn YouTube