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
Masters 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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