Solutions Architect - Telco

FEQ427R441 Sr. Solutions Architect The Role As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale

Req ID - FEQ327R499 The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Telecommunications Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. Make your customers extremely successful with Databricks and provide outsized value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business to make your customers and team successful. Partner with sales leadership to hit sales and consumption targets while ensuring customer success Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs What we look for: 3+ years of experience building and leading technica

About Inorsa At Inorsa, we’re not just building technology — we’re shaping the future of the telecom and structural engineering industries. With our groundbreaking automation tools, we are empowering engineers to transform the way critical telecom infrastructure is built, making it safer, faster, and more efficient than ever before. Headquartered in Austin, Texas, and backed by top-tier venture capital, Inorsa is among the fastest-growing and most successful companies in the engineering tech space. We’re revolutionizing how engineers operate, from analyzing complex documents to producing high-quality construction drawings, while providing actionable insights that are changing the game. As we continue to scale, we’re looking for visionary, forward-thinking individuals who are ready to push the boundaries of technology and drive real change. If you’re passionate about solving complex technical problems and making an impact in an industry ripe for disruption, we want to meet you. About the Role Inorsa is looking for a Wireless Solutions Architect to drive the adoption and implementation of our cutting-edge AI and automation products in the telecom industry. In this role, you will serve as a trusted technical advisor to our customers, leveraging your expertise in wireless customer workflows to design and deploy impactful solutions. You will work alongside a team of hands-on engineers and specialists to build and showcase Inorsa’s capabilities, but you must also be highly technical—understanding how AI and automation can streamline telecom workflows and drive efficiency. Bridging real-world use cases with our technology will be key to driving adoption across the telecom markets. With your insights, Inorsa will continue shaping the future of product development while staying at the forefront of innovation in the industry. What You’ll Do Serve as the primary technical advisor for multiple clients, guiding them through the adoption of Inorsa’s AI-powered telecom solutions.

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You’ll Do: Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs. Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly What We’re Looking For: 4+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries fo

CPI Security is seeking an experienced Genesys Cloud Engineer to serve as the technical owner for our Genesys Cloud CX environment, with a strong focus on outbound dialer strategy, administration, performance and optimization. This role helps strengthen internal platform ownership, improve contact center productivity and support the technology that helps CPI protect what matters most. This full-time role is based in-office, in our headquarters in Charlotte, North Carolina. In this role, you will partner with contact center leadership, Salesforce and business application teams, analytics, IT, carriers and vendors to translate business goals into reliable Genesys Cloud solutions. You will support outbound campaigns, inbound routing, Architect flows, integrations, reporting, workforce engagement and emerging AI-enabled capabilities. What You’ll Do Own the configuration, administration, monitoring and optimization of Genesys Cloud outbound dialing capabilities. Design and maintain outbound campaigns, contact lists, campaign sequences, dialing modes, schedules, callable time sets, queue assignments, wrap-up mappings and attempt controls. Monitor dialer performance and recommend improvements based on contact rates, abandonment, utilization, answer patterns, queue conditions and business priorities. Partner with Salesforce and business stakeholders to support daily calling plans, customer data dependencies, campaign priorities and agent workflows. Troubleshoot campaign execution, contact list errors, dialing behavior, carrier responses, routing issues and agent delivery concerns. Maintain compliance-related dialer settings, including calling windows, attempt limits, suppression controls and audit documentation in partnership with Legal and Compliance. Administer Genesys Cloud users, roles, permissions, queues, skills, wrap-up codes, divisions, telephony settings and platform integrations. Build and support Genesys Architect flows, ACD routing, skills-based routing, s

REQ ID - FEQ327R385 Locations: Arizona, Utah, Southern California Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space. Outcomes You work with multiple clients as the main technical voice for Databricks. You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You implement the technical strategy in the account, in close understanding of the strategy. You build a movement of technical champions within the account. You align technical strategies around Databricks solutions. You provide structured mentorship for other team members. Gain the respect of your peers based on your experience, insight, and contributions. Competencies: Proficiency at establishing virtual teams, and leading them to ultimate success within the account. Experience working very large (> $1m ARR), global accounts. Form relationships with executives and influencers. Present a convincing point-of-view to important decision-makers that leads them down a path of success. Technical in big data, data science and cloud. An ability in data-driven business transformation, and driving change with data. Production programming experien