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/Azure/Google, 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 onemerging AI/ML technologies, AWS services, and cloud-native trends to position the company as an innovation leader.
Qualifications
Bachelor's degree or higher in Computer Science, Information Systems, or related field.
Background in Solution architecture, with hands-on experience in cloud platforms.
Professional certifications in Cloud / AI - Specialty, or similar highly desirable.
At least two years' experience with 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.
For Manpower Pooling