Solution Architect

Role Overview: As Assent expands its AI capabilities to enable more efficient, data-driven, and scalable ways of working, they are looking for a GenAI Solution Architect. In this role, you will be responsible for leading the design, governance, and technical delivery of AI-powered solutions that enhance productivity and empower teams across the business. Reporting directly to the Senior Director, Technology & Data Solutions, you will serve as the technical leader for the AI engineering function, providing architectural direction and technical leadership to GenAI Developers and collaborating closely with stakeholders across various teams. Key Responsibilities: - Lead the design of production-grade GenAI solutions, including copilots, automated workflows, retrieval systems, and agent-based architectures. - Develop and maintain reusable patterns, reference architectures, design standards, and code templates. - Provide solution design leadership and architectural oversight for all AI initiatives, ensuring alignment with enterprise technology strategy. - Evaluate emerging LLM capabilities and guide model selection, integration strategy, and implementation approach. - Provide technical guidance, oversight, training, and enablement to both specialized GenAI program developers and citizen developers/champions across the organization. - Implement technical guardrails for secure data handling, privacy, PII isolation, logging, and responsible AI usage. - Collaborate with business stakeholders to refine use cases, assess feasibility, and translate operational needs into technical workflows. - Contribute to roadmap planning, intake, and prioritization for enterprise AI initiatives. Qualifications: - Bachelors degree in Computer Science, Information Systems, or a related field. - 10+ years of experience in technical roles with demonstrated progression in responsibility and scope. - Demonstrated experience designing and deploying production-grade LLM applications. - Strong proficiency in Python, with experience building modular, maintainable components for AI-driven workflows. - Hands-on experience with LLM orchestration frameworks such as LangGraph, LangChain, or DSPy. - Solid understanding of cloud platforms (AWS preferred), including serverless compute, API integration, monitoring, and logging. - Experience designing secure and responsible AI solutions with considerations for PII handling, privacy, auditability, and compliance. - Proven experience providing technical guidance to developers or cross-functional engineering contributors. - Strong analytical and problem-solving skills, with the ability to evaluate AI system behavior and optimize workflows using performance metrics. - Excellent communication and collaboration skills, with the ability to influence stakeholders and articulate complex concepts clearly. Role Overview: As Assent expands its AI capabilities to enable more efficient, data-driven, and scalable ways of working, they are looking for a GenAI Solution Architect. In this role, you will be responsible for leading the design, governance, and technical delivery of AI-powered solutions that enhance productivity and empower teams across the business. Reporting directly to the Senior Director, Technology & Data Solutions, you will serve as the technical leader for the AI engineering function, providing architectural direction and technical leadership to GenAI Developers and collaborating closely with stakeholders across various teams. Key Responsibilities: - Lead the design of production-grade GenAI solutions, including copilots, automated workflows, retrieval systems, and agent-based architectures. - Develop and maintain reusable patterns, reference architectures, design standards, and code templates. - Provide solution design leadership and architectural oversight for all AI initiatives, ensuring alignment with enterprise technology strategy. - Evaluate emerging LLM capabilities and guide model selection, integration strategy, and implementation approach. - Provide technical guidance, oversight, training, and enablement to both specialized GenAI program developers and citizen developers/champions across the organization. - Implement technical guardrails for secure data handling, privacy, PII isolation, logging, and responsible AI usage. - Collaborate with business stakeholders to refine use cases, assess feasibility, and translate operational needs into technical workflows. - Contribute to roadmap planning, intake, and prioritization for enterprise AI initiatives. Qualifications: - Bachelors degree in Computer Science, Information Systems, or a related field. - 10+ years of experience in technical roles with demonstrated progression in responsibility and scope. - Demonstrated experience designing and deploying production-grade LLM applications. - Strong proficiency in Python, with experience building modular, maintainable components for AI-driven workflows. - Hands-on experience with LLM orchestration