Role Description Forgent Power Solutions is building AI-enabled workflows across its core business functions — commercial, operations, finance, engineering, and more. We’re hiring a Solutions Architect, Workflow Automation to take messy, manual business processes and turn them into working digital solutions that are faster, more accurate, and actually used by the people doing the work. You’ll use workflow automation, AI agents, system integrations, and human review touchpoints to get there. This is a hands-on solutions architecture role. The right candidate can map a business process, design the solution architecture, build the MVP, and partner with IT to scale it. This role sits at the intersection of process design, solution architecture, and technical build. You’ll assess workflows, decide what should be automated, AI-assisted, integrated, or kept human, build the MVP, and partner with IT to harden and scale successful solutions. This is a remote position; however, the selected candidate must reside in the U.S. Key Responsibilities - Assess and map business processes end-to-end. Identify what should be automated, AI-assisted, integrated, or kept human. - Design solution architecture for AI-enabled workflows, including workflow logic, system touchpoints, data inputs, rules-based automation, AI agents, human review, escalation paths, and feedback loops. - Build MVPs using workflow automation platforms, AI agent workflows, APIs, integrations, and lightweight custom logic where needed. - Build human-in-the-loop review systems with clear escalation, logging, approvals, and feedback capture. - Partner with IT, data, and security teams to harden, secure, monitor, support, and scale successful MVPs. - Own delivery through a structured sprint methodology, from business alignment and scoping through MVP launch and post-launch improvement. - Monitor live workflows, analyze exception patterns, and improve rules, integrations, workflow logic, and agent behavior. - Work directly with business process owners and subject matter experts. Iterate on real user feedback. - Document what works and what doesn’t so the approach is repeatable and systems are maintainable. Qualifications - 5–8 years in solution architecture, workflow automation, process engineering, software engineering, systems integration, or adjacent roles. - Experience mapping business processes and designing workflows that combine automation, systems, data, business rules, AI assistance, and human review. - Working experience with AI agents, LLM-powered workflows, or AI-assisted business processes. - Ability to communicate across organizational levels, including business users, executives, IT, data teams, and implementation partners. - Integration skills, including the ability to work with data from multiple systems. - Ability to think architecturally while still being hands-on enough to build MVPs, prototypes, automations, or lightweight tools. - Bachelor’s degree in computer science, engineering, information systems, business, or related field, or equivalent practical experience. Preferred Qualifications - Manufacturing, industrial, commercial, finance, engineering, or operations experience preferred. - Experience with Microsoft-based automation and AI tools, including Power Platform, Copilot Studio, Azure AI Foundry, or Azure OpenAI. - Preferred experience with Anthropic Claude. - Python, SQL, or scripting fluency for data manipulation, APIs, workflow logic, and custom logic. - Experience working alongside IT, data, security, implementation partners, or consultants on shared delivery. - Familiarity with AI governance, security, permissions, logging, monitoring, and responsible AI practices. Disclaimer The statements above are intended to describe the general nature and level of work being performed. They are not an exhaustive list of all responsibilities, duties, or skills required. Forgent Power reserves the right to modify, interpret, or apply this job description as needed. Equal Employment Opportunity Statement Forgent Power is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class. #LI-KW1

Role Description Tandia Financial (Tandia) is seeking a Permanent Full-time Member Solutions Advisor to join our virtual retail banking team in Burlington, Ontario. Under the general supervision of the Manager, Member Solutions, the advisor will: - Market the Credit Union’s products and services ensuring that members’ needs are efficiently met. - Promote, upsell, and cross-sell the full range of lending and investment products and sundry services. - Actively solicit new sales opportunities by following up on staff referrals and identifying target areas. - Participate in all campaigns and promotions to meet growth targets. - Manage a portfolio of assigned accounts while increasing volume of business annually to targets. - Process members' transactions and requests for account updates and closures. Qualifications - High school diploma plus 4-6 years job related experience, or - Some college plus 2-3 years job related experience, or - Completed college/university plus one year job related experience. - Successful completion of CUIC – Consumer and Residential Mortgage Lending course. - Successful completion of CUIC – Fundamentals of Personal Financial Planning course. - Previous credit underwriting experience. - Willingness to participate in ongoing CUIC (Credit Union Institute of Canada) General Studies Program. Requirements - Understanding of credit union's business objectives, philosophies, and principles. - Minimum 80% "Advanced" knowledge proficiency of credit union products and services. - Knowledge of policies and legalities regarding lending and deposit services. - Mathematical calculations on ratios and amortization schedules. - Knowledge of credit union policies and procedures relating to banking requirements. - In-depth knowledge of investments including registered plans. Skills - Service and selling skills. - Interviewing skills. - Decision making. - Problem solving and conflict resolution. - Budget & time management. - Policy interpretation. - Verbal communication. - Presentation skills. - Technical ability. - Financial analysis-cashflow. - Working knowledge of Microsoft applications. Commitment Statement Tandia is committed to meeting the accessibility needs of persons with disabilities in a timely manner, consistent with the principles of dignity, independence, equality of opportunity, and integration. Tandia is strongly committed to employment equity within its community and to recruiting a diverse workforce. Accommodation for applicants with disabilities will be provided upon request by contacting Human Resources.

• Lead pre-sales technical discussions with clients; • Design ML architectures to solve complex business problems; • Ensure solutions are scalable and aligned with client needs; • Architect agentic AI solutions leveraging LLMs; • Evaluate agent frameworks for client use cases; • Support delivery teams and mentor engineers during project execution.

Role Description This role can be based in either Berlin, Munich, or remotely in Germany. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics, and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. Delivery Solutions Architects (DSAs) focus on: - Designing secure, scalable architecture - Aligning people, processes, and technology - Establishing trusted advisor relationships - Leveraging the broader ecosystem of Databricks experts This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organisations, do architecture reviews, help with performance and cost optimisations, demonstrate new capabilities, remove blockers, etc. In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialised teams within Databricks, and creating and driving onboarding plans. While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing, or Data Science are essential. You will report directly to a DSA Manager within the Field Engineering organisation. The impact you will have: - Be the Databricks Architect working with customer technical teams on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices, and enablement. - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts. - Be the internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for multiple use cases within the largest and most complex organisations. - Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise. - Create and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals. - Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs, presenting them to the customers when applicable for their ongoing developments. - Provide internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption, and use case progression - to your Field Engineering leadership. Qualifications - Programming experience in PySpark, SQL, or Scala. - Understanding and hands-on experience of solution architecture-related distributed data and analytics systems. - 5+ years of experience where you have been accountable for delivery of projects in Data, Analytics, or AI and where you can contribute to technical debate and design choices with customers. - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles. - Understanding of how to attribute business value and outcomes to specific project deliverables. - Technical program coordination including account and stakeholder management. - Experience resolving complex and important escalation with senior customer technical stakeholders. - Track record of overachievement against quota, goals, or similar objective targets. - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience. - Can travel up to 30%. Benefits - At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. - For specific details on the benefits offered in your region click here . Company Description Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow.