Presales Solutions Architect
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Key skills for this role
About the Role
Develop compelling AI, Data Science, Big Data, and Digital Transformation solutions for client requirements, aligning technical and commercial aspects. Drives solution architecture, innovation, pricing strategy, and presales engagement to ensure business growth.
Key Skills for This Role
Responsibilities
- Comprehend client needs (business and technical) and convert them into compelling solutions
- Provide leadership on technology and domain areas to support solution lifecycle
- Provide architectural blueprints and technical leadership
- Work with internal and external stakeholders, partners, and product vendors to formulate use cases, solutions, and service strategies
- Identify and recommend solutions, products, and services to support 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
Requirements
- 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/defense environments
- Strong project management and time management abilities
- Sound knowledge of technology trends and competitive landscape in AI and Big Data
- Ability to collaborate with partners/vendors to shape offerings
Full Job Posting
Job Purpose
- Responsible for developing compelling AI, Data Science, Big Data, and Digital Transformation solutions for client requirements, aligning both technical and commercial aspects.
- 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.
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/defense environments.
- Strong project management and time management abilities.
- Sound knowledge of technology trends and competitive landscape in AI and Big Data.
- Ability to collaborate with partners/vendors to shape offerings.
- Strategic thinking, analytical mindset, and ability to balance technical and commercial considerations.
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