• Be at the forefront of IFS product implementations working directly with customers and partners • Take the lead in delivering the IFS solution, maintain clear communication on all aspects of the solution • Work closely with the IFS Project Manager to ensure risks from complex requirements are minimized • Coordinate and delegate work within the delivery team • Work with partners and system integrators to ensure the IFS experience is consistent • Advise on the successful application of IFS Accelerators • Focus on ensuring delivery of value to the customer • Be involved in the successful delivery of additional consulting services

• Inspire and mentor a high-performing team, fostering a culture of continuous improvement and technical excellence. • Develop talent, set clear expectations, and ensure team consistently delivers innovative solutions that align with Cisco’s strategic vision. • Champion a customer-centric mindset, leading your team to meet and exceed revenue and operational targets. • Serve as a mentor, guiding engineers through career development while cultivating a robust technical community. • Act as a strategic advisor to customers and partners, cultivating executive-level relationships that drive long-term loyalty and transformative security outcomes. • Proactively monitor industry trends, particularly the rapid evolution of AI, guiding the team in crafting innovative solutions. • Standardize technical sales methodologies and assets, demonstrating the value of Cisco Security solutions, driving growth.

Role Description Translating AI capabilities into business value requires a technically versatile engineer who can bridge the gap between complex AI models and practical applications. This implementation-oriented full-stack role combines software engineering expertise with specialized knowledge of how to efficiently leverage data sources, LLMs, and AI agents in production environments to deliver tangible business value. - Accelerates user adoption through intuitive interfaces and seamless system integrations - Creates efficient data pipelines connecting LLMs to relevant utility information sources - Enables intelligent automation through multi-agent systems for complex workflows - Develops sustainable solutions that can evolve with business needs and technology advances - Build proof-of-concept applications and production-ready interfaces for GenAI capabilities - Connect AI services with enterprise systems (SAP, internal databases) for data exchange - Design and implement multi-agent architectures to solve complex business processes - Develop tool integration frameworks allowing AI to interact with utility systems - Create robust memory and reasoning systems for contextual, multi-step AI interactions - Implement appropriate guardrails and safety measures for AI agent systems - Gather requirements and translate business needs into technical implementation - Produce documentation and knowledge transfer materials for sustainable solutions Qualifications - Full-Stack Development: Modern front-end frameworks, back-end technologies, API design - System Integration: Experience connecting disparate systems, data orchestration, authentication - AI Application Patterns: RAG architectures, prompt engineering, agent orchestration frameworks - Agent Architecture: Knowledge of multi-agent systems, collaboration protocols, tool integration - Reasoning & Memory: Understanding of chain-of-thought reasoning, context management, planning algorithms - User Experience: Ability to design intuitive AI interfaces with appropriate feedback mechanisms - Rapid Prototyping: Demonstrated ability to quickly build working demos and iterate based on feedback Company Description

Role Description We are seeking a Senior Data Solutions Architect with a minimum of 12 years of experience who can translate business requirements into technical strategies and architect the solutions on to MMA data platforms. In this role that blends Data and Cloud architecture, you design enterprise data architecture and solutions across MMA’s cloud and hybrid data platforms. - Lead the Design and Architecture of enterprise solutions across MMA’s Agency management software, EHB and CRM domains. - Develop and maintain solution blueprints for core platforms, including Agency management systems, GCP, Azure Databricks, Workday, ServiceNow, Microsoft Fabric and Azure SQL. - Define and enforce standards for medallion architecture (bronze, silver, gold layers) for MMA’s data Lakehouse, ensuring proper ingestion, transformation, and consumption. - Establish secure and scalable integration patterns and data flows between AMS, HRIS, CRM, Azure Cloud, and development systems. - Ensure solutions comply with GDPR, HIPAA, and other regulatory frameworks governing healthcare and insurance data. - Collaborate with the Data Governance Council to align solution architecture with role-based access controls (RBAC) and row-level security (RLS) in Unity Catalog and Power BI. - Drive adoption of metadata management and data lineage practices within Databricks Unity Catalog and other modern data governance tools. - Partner with enterprise architecture, Data Analytics, and Data Engineering teams to align on shared infrastructure and data strategies. - Evaluate and recommend emerging technology features in AI/ML, Databricks, and analytics to support decision-making and MMA’s long-term data strategy. - Support MMA’s data modernization and transformation initiatives by developing frameworks for AI-ready data platforms, enabling responsible adoption of predictive analytics and LLM-based solutions. Qualifications - Minimum 12 years of experience designing end to end ETL/ELT data solutions with a minimum of 5 years preferably in Azure cloud environment and Databricks. - Comfortable working in agile methodologies and large scale data migrations, data modernization initiatives, proof of concept experiments and requirements gathering. - Create conceptual, logical, and physical data models supporting engineering, analytics, and operational use cases and creating entity relationships. - Advanced knowledge of SQL, data modeling, and modern data Lakehouse technologies. - Hands-on experience with Delta Lake features such as Change data capture, ACID transactions, optimization, and schema drifting/evolution for both batch and real-time data processing. - Understanding of compliance, quality, and security frameworks for healthcare and Insurance. - In-depth understanding of data structures (structured and unstructured), data types and formats, and command on high performance data storage in data lakes. Requirements - Certifications in TOGAF, Enterprise Architecture, Azure are a big plus. Benefits - Generous time off, including personal and volunteering. - Tuition reimbursement and professional development opportunities. - Remote work. - Charitable contribution match programs. - Stock purchase opportunities.