• Act as a trusted AI architect & consultant for our enterprise clients, helping them turn ambitious ideas into robust, production-ready solutions across cloud, edge, and on-prem environments • Design and own end-to-end LLM & multi-agent architectures - from vector-based RAG pipelines and document-processing workflows to multi-agent orchestration and autonomous decision frameworks • Create and publish libraries utilizing local on-device models • Create and publish design papers on behalf of the company together with our R&D team • Build cloud-native AI infrastructure on AWS or equivalent on Cloudflare / GCP with security, governance, and cost optimization baked in • Define and implement AI governance & monitoring (bias detection, drift tracking, compliance reporting) to keep models accurate, explainable, and audit-ready • Evaluate, benchmark, and create custom models - open-source and commercial • Contribute to the open-source community through internal R&D initiatives • Stay one step ahead by experimenting with the “next big thing” in AI • Mentor and inspire engineers around you, sharing knowledge through tech talks, code reviews, and architectural workshops

• Support the design, development, and integration of hardware, software, cloud components, and user interfaces into cohesive system solutions. • Assist in defining system requirements and ensuring alignment with project objectives. • Participate in system configuration, documentation updates, and version control activities. • Participate in system testing activities, including the development of test cases and documentation. • Maintain data quality by performing routine audits, validation checks, and updates within CMMS • Follow established data governance practices to ensure compliance with organizational policies. • Support data entry standards, documentation, and routine quality assurance tasks. • Generate reports and dashboards using tools such as Power BI to support facility operations and planning. • Track and update Key Performance Indicators (KPIs) based on organizational reporting needs. • Assist in identifying operational trends or opportunities for efficiency using structured analysis methods. • Support the development and refinement of system requirements for facility data, asset tracking, and maintenance workflows. • Work closely with facility operations, IT, and data teams to maintain system functionality and ensure alignment across workflows. • Provide basic user support and training on data tools, dashboards, and reporting processes. • Translate stakeholder needs into clear, actionable system or reporting updates. • Support Extract, Transform, Load (ETL) processes to ensure consistent data integration across systems. • Maintain documentation related to data quality, system configurations, and reporting procedures. • Ensure digital records and data structures adhere to organizational and federal requirements.

• Serve as the primary technical advisor for Global Major Accounts, partnering with customers to align cybersecurity strategies with business objectives. • Lead technical discovery sessions, solution design workshops, and security architecture discussions throughout the sales cycle. • Architect and position HPE cybersecurity solutions across SASE, SSE, SD-WAN, Zero Trust, Firewall, NAC, and cloud security environments. • Deliver executive-level presentations, technical demonstrations, and Proof of Concepts (POCs) that showcase the business and technical value of HPE's security portfolio. • Engage CISOs, security architects, network teams, and executive stakeholders in both strategic and technical discussions. • Develop end-to-end security solution architectures that address customer requirements, security initiatives, and digital transformation goals. • Guide customers through observability and threat detection integrations, including SIEM, SOAR, XDR, and OpenTelemetry frameworks. • Lead technical responses for RFPs, RFIs, security assessments, and complex customer evaluations. • Serve as the technical lead on large, complex enterprise opportunities, collaborating closely with Account Managers, channel partners, and cross-functional teams to drive successful business outcomes. • Position HPE security solutions against competitive offerings and articulate key differentiators within the cybersecurity market. • Build trusted advisor relationships across customer organizations and maintain a strong understanding of customer priorities, challenges, and security strategies. • Collaborate with Product Management and Engineering teams to provide customer feedback and influence future product roadmap development. • Maintain expertise in emerging cybersecurity, networking, cloud, and observability technologies while serving as a subject matter expert within the organization. • Support teammates and contribute technical leadership across the broader Systems Engineering organization.

• Lead requirements gathering sessions with customers • Analyze and understand system requirements for ongoing work • Troubleshoot and resolve questions related to the platform • Partner with Architect II resources to design solutions • Complete Decision Support documents and work requests • Support configuration of defined platform requirements • Operate within project timelines to exceed expectations • Build trusted client partnerships