• Lead rigorous "Build vs. Buy vs. Partner" evaluations for all components of the AI ecosystem • Define the company’s AI tooling architecture, including how tools integrate with existing systems (CRM, ad platforms, analytics systems, etc.) • Own the technical AI roadmap, sequencing initiatives, managing dependencies, and communicating trade-offs clearly to leadership • Continuously assess the evolving AI landscape and make timely, well-reasoned recommendations about when to adopt, replace, or retire tools • Implement agentic AI solutions that can act, make decisions within defined parameters, and reduce manual intervention across key workflows • Build and configure multi-step AI workflows and solutions that connect across tools and departments • Ensure solutions are reliable, auditable, and built with appropriate guardrails and failure handling • Lead end-to-end implementation of AI solutions from scoping through deployment, working from recommendations provided by the AI Business Process Analyst • Partner with internal teams and external vendors to ensure solutions integrate cleanly into existing workflows • Maintain clear documentation on system architecture, tool configurations, and integration dependencies • Monitor solution performance post-deployment and iterate based on real-world usage and feedback • Develop and deliver training programs with the help of the AI Business Analyst that help staff understand, trust, and effectively use AI tools in their day-to-day work • Create accessible resources guides, demos, that meet team members where they are regardless of technical background • Serve as an internal resource for AI-related questions, troubleshooting, and best practices • Promote responsible AI usage and help the organization develop clear norms around how AI tools are used • Work closely with the AI Business Process Analyst to translate operational findings into technically sound solution designs • Engage with department leads and leadership to align on priorities, surface blockers, and report on initiative progress • Support change management efforts by ensuring teams feel prepared and supported as new tools are introduced

• A Solution Engineer plays a pivotal role in aligning innovative strategies to technology solutions within complex accounts. • This role focuses on partnering with clients and collaborating with internal team members to drive consensus on multi-product technology solutions across the various Salesforce product lines. • Solutions Engineers work on a wide array of assignments including business development, operations and IT strategies, as well as product demonstrations. • This person must assume the role of trusted advisor for driving innovative solutions forward while also improving business performance. • Take ambiguous and sophisticated business problems, define the opportunity set, and recommend practical next steps. • You will discover customer business needs, analyze requirements, and ultimately position the best Salesforce multi-product solutions. • Convey a deep understanding of the customer's enterprise architecture. • Evangelize the value proposition of the Salesforce Platform, including Financial Services Cloud, HeadlessCRM, Hyperforce, Data 360, Agentforce, MuleSoft, and Slack, while educating customers on customization and integration possibilities. • Develop technical Points of View (POVs) on the Context Architecture for AI (including RAG, grounding, and real-time data pipelines), Agentic AI Governance, and Hybrid Architecture (human + autonomous enterprise). • Run customer-facing hands-on workshops with customers, and partner together for executing POCs (proof of concepts). • Demonstrate through both executive-level and business-level software demos and rapid prototyping how connected experiences come to life. • Build customized solutions tailored to multiple personas, showcasing how Salesforce will accelerate their business strategies. • Bring focus to a client's decision-making process by evaluating solution options (such as build vs. buy) and driving consensus among key C-level collaborators and IT stakeholders. • Lead cross-functional solutions guides, align them to the opportunity strategy, and share best practices with the broader Solution Engineering community.

• Support specification and design activities within the building and construction industry • Partner with mechanical engineers, building owners, and developers to design and specify building automation solutions • Apply deep technical expertise to strengthen customer relationships and influence system design decisions • Provide design and engineering support for building systems including HVAC, power monitoring, lighting, sustainability initiatives, and other integrated sub-systems • Help position ALC as the building automation leader in the engineering community • Assist design teams in developing and specifying Automated Logic building automation solutions • Support ALC factory-owned branches and authorized dealers through training and marketing initiatives

Role Description This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. A Presales Consultant - Technical Architect will: - Configure hardware clusters for HPC & AI workloads using knowledge of Infiniband and Ethernet networking. - Apply advanced knowledge of company hardware products and infrastructure solutions to architect complex solutions that can be scaled to accommodate growth. - Be responsible for architecting solutions that achieve customer business outcomes across the broader company portfolio (hardware, software, services, and as a service offerings). - Develop and articulate compelling, accurate, and relevant proposals to ensure customer requirements are met. - Provide technical expertise to sales teams and customers through sales presentations and product/solution demonstrations. - May be aligned to specific accounts based on business priority. Responsibilities - Lead presales technical engagements: gather requirements, translate business outcomes into functional and technical architectures, and present proposals to customers and partners. - Architect end-to-end HPC/AI infrastructure: compute/GPU nodes, storage, interconnects, orchestration, monitoring, and management. - Design and validate high-performance networking for east–west and north–south traffic (InfiniBand and high-speed Ethernet); size interconnects and topology for GPU-accelerated workloads. - Create detailed BOMs, rack elevations, cable/power plans, PDU layouts, and facility-fit analyses (power, cooling, rack density, liquid cooling considerations). - Build and run POCs/demos, run benchmarks, tune systems, and document results and recommendations. - Prepare technical content for RFI/RFP responses, risk assessments, and implementation plans. - Collaborate cross-functionally with sales, engineering, product management, services, and partners to ensure deliverability and commercial alignment. - Mentor junior presales engineers and maintain reusable presales collateral and demonstration playbooks. - Represent the organization at customer sites, partner labs, and industry events as required. Qualifications - Bachelor’s degree in computer science, Electrical/Computer Engineering, or equivalent practical experience, with demonstrated hands-on work on HPC/AI clusters. - Proven experience designing and validating GPU-accelerated clusters (NVIDIA preferred) including compute/node sizing, networking (InfiniBand and high-speed Ethernet), and storage considerations. - Demonstrable facility-level skills: producing BOMs, rack elevations, power/cooling/PDUs and cabling plans, and performing facility-fit assessments (rack density, liquid cooling, P2P cabling). - Hands-on POC and performance validation experience (benchmarking/tuning) plus scripting/automation skills (Python, Bash, or similar) is a plus. - Strong written/verbal communication for customer deliverables. Preferred Qualifications - Familiarity with cluster schedulers and storage (Slurm, PBS, Lustre, Weka, Vast). - Experience with vendor reference architectures (e.g., NVIDIA NCP), orchestration (Kubernetes for AI), or hybrid cloud HPC integrations. - Prior presales experience: RFI/RFP responses, proposals, and customer-facing demos. - Relevant industry certifications (networking, storage, or vendor-specific). Nice-to-Have - Benchmarking and performance tuning for AI training/inference. - Experience with systems integrators, OEMs, or hyperscale data-center environments. Additional Skills - Accountability - Active Learning - Active Listening - Assertiveness - Building Rapport - Coaching - Complex Sales - Creativity - Critical Thinking - Cross-Functional Teamwork - Customer Experience Strategy - Empathy - Financial Acumen - Growth Mindset - Identifying Sales Opportunities - Industry Knowledge - Intellectual Curiosity - Long Term Planning - Managing Ambiguity Benefits - Health & Wellbeing: Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing. - Personal & Professional Development: Programs catered to helping you reach career goals. - Unconditional Inclusion: Celebrating individual uniqueness and valuing varied backgrounds.