Presales Solutions Architect

Job Description

Job Purpose:

Responsible for developing compelling AI, Data Science, Big Data, and Digital Transformation

solutions for the client requirements, aligning both technical and commercial aspects. The role

drives solution architecture, innovation, pricing strategy, and presales engagement to ensure

business growth.

Job Responsibilities:

• Comprehends the client needs (business and technical)and convert them into compelling solution.
• Provides leadership on technology and domain areas to support solution lifecycle.
• Provides architectural blueprints and technical leadership.
• Works with internal and external stakeholders, partners, and product vendors to formulate use cases, solutions, and service strategies.
• Identifies and recommends solutions, products, and services to support the business goals and technical requirements.
• Prepare solution proposals, RFP responses, and commercial offers in coordination with product, delivery, and finance teams.
• Participate in client presentations, demos, and workshops, articulating SAAL's value proposition.
• Develop solution cost and pricing models aligned with competition and client budgets.
• Provide architectural blueprints, integration plans, and oversight during implementation.
• Ensure solutions embed security, compliance, and business continuity best practices.
• Conduct research on emerging technologies, trends, and competitor landscape.
• Facilitate knowledge transfer to project/delivery teams and participate in project reviews.
• Work with partners and vendors to co-create industry-specific solutions and go-to-market strategies.

Skills:

• Experience architecting large-scale Analytics, AI, and Big Data solutions.
• Strong background in solution architecture and technical leadership.
• Familiarity with cloud-native architectures.
• Experience in proposal writing, solution costing, and commercial modelling.
• Excellent client-facing presentation and storytelling skills for CXO-level engagements.
• Knowledge of integration with enterprise platforms.
• Understanding of security, governance, and compliance in government/defenseenvironments.
• Strong project management and time management abilities.
• Sound knowledge of technology trends and competitive landscape in AI and BigData.
• Ability to collaborate with partners/vendors to shape offerings.
• Strategic thinking, analytical mindset, and ability to balance technical andcommercial considerations.