Presales Solutions Architect

Job Description

Certificates : Certifications in AI, Machine Learning, Data Engineering, Big Data preferred

ITIL and TOGAF or equivalent certifications are desirable

Key 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 SAALs 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.

Job Specific 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.