• Design and implement SAP Analytics Cloud • Connect to various data sources • Code the cloud application designer to develop logic in SAC • Configure data actions and multi actions • Work on positioning and enhancements

• Collaborate with GTM, Product, and Engineering to define and deliver technical solutions aligned with business goals. • Serve as the primary technical point of contact for customers — from onboarding to production deployment. • Design, test, and implement integrations leveraging tools like Elasticsearch, Snowflake, AWS S3, AWS Lambda, and PostgreSQL. • Build and maintain API and data workflows using REST, webhooks, and custom scripts in Python. • Act as a trusted advisor, providing prescriptive guidance across risk domains such as Fraud, AML/KYC/KYB, and Credit Underwriting. • Translate customer feedback into actionable insights for the Product and Engineering teams.

• Design and oversee the development of scalable generative AI systems and enterprise-grade AI platforms. • Establish robust architectures that support model training, inference, monitoring, and lifecycle management in production environments. • Direct the selection, customization, and enhancement of state-of-the-art generative AI and large language models. • Develop and execute APIs, microservices, and integration frameworks to incorporate AI capabilities into enterprise applications. • Ensure that AI platforms meet stringent standards for performance, reliability, security, and scalability, while also adhering to data governance and privacy regulations. • Collaborate closely with product, engineering, and business teams to outline technical requirements and approaches to AI architecture. • Architect end-to-end pipelines for deploying and monitoring AI models, ensuring seamless integration with existing systems. • Guide architectural decisions for LLM applications, AI workflows, and distributed AI infrastructure. • Institute best practices for ethical AI development, including strategies to mitigate risks like model hallucinations, bias, and reliability challenges. • Provide technical mentorship and guidance to engineering teams, while contributing to the formulation of long-term technology strategies and the advancement of AI platforms.

Role Description 3CLogic is expanding our sales organization to meet the demands of a rapidly growing industry and is seeking experienced Solution Architects to join our team. In this pivotal role, you will support regional account executives in acquiring and retaining customers by employing top-tier technical pre-sales solution architecture skills to articulate the power, value, and ease of use of the 3CLogic platform. This is a hands-on technical role requiring a professional adept at both broad and in-depth solution delivery and positioning throughout the sales cycle. Job Responsibilities - Lead structured technical discovery engagements with prospective customers. - Analyze business objectives, operational workflows, compliance requirements, and integration needs to design scalable solution architectures leveraging the 3CLogic platform and related integrations, including ServiceNow and third-party systems. - Develop architecture diagrams and technical documentation to support solution validation. - Ensure proposed solutions align with product capabilities, security standards, and implementation best practices. - Provide detailed technical input for RFP/RFI responses. - Address technical objections and support competitive positioning. - Contribute to pricing and scope discussions based on architectural complexity. - Support deal closure by ensuring technical alignment prior to contract execution. - Produce clear and structured documentation, including architecture diagrams, integration specifications, assumptions, dependencies, and scope definitions for Statements of Work (SOWs). - Identify risks, constraints, and exclusions to reduce implementation misalignment. - Ensure effective knowledge transfer to Professional Services and Delivery teams. - Collaborate with Product Management to provide structured field feedback and market intelligence. - Maintain alignment with Delivery and Customer Success teams to ensure scalable solution standards. - Maintain up-to-date knowledge of 3CLogic product capabilities and releases. - Maintain awareness of ServiceNow platform updates and integration best practices. - Track competitive CCaaS and CX technologies and emerging trends in AI, automation, and voice technologies. - Share insights that support product development and go-to-market strategy. Qualifications - Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent professional experience. - At least 3 years of relevant experience in sales, technical, or customer-facing roles, ideally within a SaaS environment. - Design experience with AI-driven automation, IVR systems, speech analytics, or related technologies. - Strong understanding of cloud software architecture, APIs, and integration methodologies. - Experience in delivering tailored technical demonstrations and presenting use cases. - Strong presentation skills, with the ability to build trust across both technical and non-technical audiences. - Ability to quickly learn, interpret, and articulate complex technical concepts. - A creative and analytical approach to problem-solving, with the ability to address challenges across various business sectors. - Excellent written and verbal communication skills. - Willingness to travel up to 25% as required. Preferred Qualifications - At least 3 years of experience working with ServiceNow, either through relevant sales / pre-sales roles or via ServiceNow certifications (such as System Administrator, Implementation Specialist, Application Developer, ITSM, or CSM). - Experience with ServiceNow, with preference for Administrator or Implementation Specialist certifications. - Expertise in voice technology, including speech analytics, Natural Language Understanding (NLU), voice bots, and Interactive Voice Response (IVR) systems. - Experience in contact center, CCaaS, or Customer Experience technologies. - Experience with AI and machine learning applications in customer service environments. Compensation & Benefits - Salary: $115,000 - $135,000 annually, based on experience. - Benefits Summary: This position includes company-sponsored health, dental, and vision insurance, 401(k) plan with 3% company match and PTO.