Senior Presales Solution Architect - AI, Cloud
Unisys · Bangalore, India · 2mo ago
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
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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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