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

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