• Architect and guide implementation of Databricks‑based data platforms, leveraging Lakehouse and Medallion architecture best practices. • Provide hands‑on technical leadership across data engineering, analytics, and AI‑enabled use cases using Databricks. • Define and enforce data governance, security, and access control standards using Databricks Unity Catalog and enterprise data management principles. • Enable and support AI/ML workloads, including ML pipelines and model lifecycle integration within the Databricks ecosystem. • Optimize platform performance, scalability, and cost efficiency with a FinOps‑oriented mindset. • Collaborate closely with business leaders, architects, and engineering teams to align platform capabilities with enterprise data and analytics needs. • Serve as a resident technical authority, providing architectural guidance, mentoring teams, and ensuring solution quality and consistency.

• Conducts research to prepare for upcoming meetings with prospects to understand their business environment, market, customers, competitors and general business challenges. • Carries out discovery conversations with customers to understand their needs and requirements for a new solution. • Uses their in-depth knowledge of Talkdesk solutions and capabilities to specify the appropriate solution(s) for customer needs and requirements. • Designs and delivers presentations to customers, on-site & virtual, showing Talkdesk’s capabilities. • Generates simple value statements illustrating the financial value of a Talkdesk solution to customers. • Assists with scoping SOWs for customer implementations as needed. • Scopes, executes and manages customer pilots and POCs. • Respond to functional and technical RFI/RFP requirements and mapping said requirements to the software solution. • Work closely with product management and engineering teams to ensure that customer feedback is incorporated into product roadmaps. • Assists with marketing and demand generation events as necessary.

• Execute Corporate BD CONOPS and implement Trilogy best practices. • Architect mission-aligned enterprise modernization solutions that integrate legacy transformation, cloud adoption, workflow automation, data platforms, and AI-enabled capabilities across VA and Federal healthcare environments. • Translate agency strategic priorities, operational pain points, and policy drivers into executable technical architectures, implementation roadmaps, and modernization transition strategies. • Ensure all proposed architectures align with Agency enterprise standards, Federal shared-service initiatives, Zero Trust requirements, cloud-first mandates, and DevSecOps delivery frameworks. • Maintain deep understanding of Agency business domains, including financial management, healthcare operations, benefits delivery, human capital modernization, and enterprise data ecosystems, to inform holistic solution design. • Support capture activities by contributing solution strategies, technical narratives, modernization sequencing approaches, and feasibility assessments during gate reviews and pursuit planning. • Lead, author, and review technical volumes and additional proposal volumes across multiple proposals simultaneously. • Collaborate with delivery leadership and program teams to extract lessons learned, identify recurring customer challenges, and continuously refine reusable solution accelerators and modernization playbooks. • Align Trilogy solution approaches with evolving customer priorities by maintaining situational awareness of agency initiatives, policy changes, platform adoptions, and enterprise architecture direction. • Lead integration of leading-edge platforms and partner technologies into Trilogy solution architectures while ensuring interoperability with existing Federal enterprise systems and shared services. • Coordinate across executive leadership, capture managers, practice leads, and technical SMEs to maintain consistency between Trilogy’s delivery capabilities and forward-looking solution strategies. • Develop architectures that balance innovation with implementation realism by incorporating adoption constraints, governance requirements, workforce readiness considerations, and acquisition pathways. • Identify technical capability gaps and recommend investments, partnerships, or accelerators that strengthen Trilogy’s competitiveness in enterprise modernization pursuits. • Represent Trilogy’s solution vision in customer engagements, technical exchanges, partner strategy sessions, and internal modernization planning discussions.

• Customer Onboarding & Deployment: Partner with customers to design and implement secure deployments of our AI security solutions, ensuring seamless integration into their environments (cloud, on-prem, or hybrid). • Technical Guidance & Iteration: Provide expert technical consultation on infrastructure, containerization (Docker/Kubernetes), and cloud networking. Help customers rapidly iterate and adopt best practices for secure AI operations. • Customer Success Ownership: Act as the primary technical point of contact post-sale, ensuring customers derive ongoing value, achieve their security objectives, and successfully scale their deployments. • Troubleshooting & Optimization: Diagnose and resolve customer issues, optimize configurations, and proactively identify opportunities for improvement. • Enablement & Training: Deliver hands-on workshops, training sessions, and technical documentation to empower customer teams to be self-sufficient with our products. • Feedback Loop: Capture customer feedback and collaborate with product management, engineering, and research teams to inform roadmap priorities and product enhancements.