Pre-Sales Solution Architect (AI & Cloud)

Job

Description

We are

seeking a Pre-Sales Solution Architect (AI & Cloud) with

expertise in AWS cloud platforms and AI / ML solutioning. This role

blends technical expertise with business development, where you

will work closely with sales teams, partners, and clients to design

and deliver innovative AI-driven solutions on the cloud. The ideal

candidate has pre-sales experience, solution architecture skills,

and a proven track record delivering AI and cloud solutions for

commercial and public sector

customers

Responsibilities :

Partner with business development and sales teams to

engage clients, understand requirements, and shape solution

strategies.

Lead pre-sales activities

including client workshops, technical presentations, solution

demonstrations, RFP / RFI responses, and proposal

development.

Design end-to-end AI and cloud

architectures on AWS, covering cloud infrastructure, data

pipelines, AI / ML models, APIs, and enterprise

integrations.

Define architecture blueprints,

best practices, and reference designs for secure, scalable, and

resilient deployments.

Act as a trusted

technical advisor to clients, helping them identify opportunities

for AI and cloud adoption that drive measurable business

outcomes.

Collaborate with delivery teams to

ensure proposed solutions are practical, cost-effective, and

successfully implemented.

Provide technical

leadership and mentorship to engineering, DevOps, and data science

teams throughout project lifecycles.

Stay

updated on emerging AI / ML technologies, AWS services, and

cloud-native trends to position the company as an innovation

leader.

Requirements :

Bachelor's degree or higher in Computer Science,

Information Systems, or related field.

Strong

background in solution architecture, with hands-on experience in

AWS cloud platforms

Proven expertise in AI / ML

solutioning, including model deployment, MLOps, and data

engineering.

Pre-sales experience in a

vendor / SI environment, including client engagement, proposal

development, and solution presentations.

Solid

understanding of cloud-native architectures

Excellent communication skills with the ability to

influence C-level stakeholders and simplify complex technical

concepts.

Professional certifications such as

AWS Certified Solutions Architect - Professional, AWS Certified

Machine Learning - Specialty, or similar highly

desirable.