Senior Presales Solution Architect - AI, Cloud

What success looks like in this role: Solution Discovery & Architecture Lead enterprise discovery workshops to understand customer business objectives, AI adoption maturity, and cloud transformation needs Design end-to-end AI and cloud solutions including data platforms, intelligent applications, automation, and modernized architectures Architect scalable, secure, and cost-optimized solutions leveraging AI/ML, GenAI, cloud-native, and hybrid environments Develop solution blueprints, architecture diagrams, and implementation roadmaps aligned to customer business outcomes AI & Cloud Solutioning Define AI/ML use cases including predictive analytics, NLP, computer vision, GenAI, and automation across industries Design AI-enabled enterprise architectures integrating data engineering, MLOps, model lifecycle, and AI governance Recommend cloud services (Azure/AWS) for AI workloads such as data lakes, AI services, model deployment, and APIs Align solutions with responsible AI practices, compliance, and enterprise security standards Cost Modeling & Financial Analysis Develop detailed cost models and ROI/TCO analyses for AI and cloud transformation initiatives Build cost estimates for infrastructure, AI model lifecycle, data platforms, and operations Create investment scenarios demonstrating business value, productivity gains, and innovation outcomes Partner with finance and delivery teams to validate pricing, margins, and commercial feasibility Technical Proposal Development Own end-to-end presales deliverables including RFP/RFI responses, solution documents, and executive presentations Develop compelling proposals covering architecture, implementation approach, timelines, risks, and success metrics Translate complex AI and cloud capabilities into business-aligned value propositions Leverage GenAI tools (Microsoft Copilot, ChatGPT, etc.) to accelerate proposal development and improve quality Stakeholder Engagement & Deal Support Present solutions to CXO and senior stakeholders, articulating business impact and innovation value Support sales teams in large/strategic deals and drive differentiation through AI-led solutions Collaborate with internal teams (engineering, delivery, security, finance) for solution validation Contribute to deal strategy, win themes, and competitive positioning Delivery Alignment & Post-Sales Support Ensure seamless transition from presales to delivery with clear architecture and execution plans Participate in solution kickoffs and governance discussions to ensure alignment Continuously refine solution approaches based on delivery feedback and market trends Key Qualifications Proven experience in presales, solution architecture, or consulting roles focused on AI and cloud Strong track record of designing and winning complex enterprise deals involving AI and digital transformation Experience in building AI-driven solutions and cloud modernization strategies Ability to create high-quality technical proposals and influence decision-making Technical Expertise Deep expertise in cloud platforms: Microsoft Azure (preferred) / AWS / GCP Hands-on exposure to AI/ML technologies, including GenAI, NLP, Computer Vision, MLOps frameworks Strong knowledge of data platforms (data lakes, warehouses, real-time pipelines) Experience with application modernization , microservices, APIs, and cloud-native architectures Familiarity with DevOps, IaC, automation, and observability practices Proficient use of GenAI tools for solutioning, documentation, and productivity Certifications & Nice-to-Haves Azure Solutions Architect Expert / AWS Solutions Architect Professional AI/ML certifications (Azure AI Engineer, AWS ML Specialty, etc.) Experience in AI governance, Responsible AI frameworks ITIL / Service management frameworks Exposure to GTM strategy, pricing models, or business development Prior experience in system integrators, consulting firms, or global delivery models #LI-SS1 You will be successful in this role if you have: BA/BS degree and 15+ years’ relevant experience OR equivalent combination of education and experience Master’s degree preferred Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. 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