Tech Solution Architect Exp- 15-18 years Position overview

We are seeking a Tech Solution Architect – AI & Transformation to advise clients on technology-led transformation initiatives, with a particular focus on the application of artificial intelligence to enterprise business processes and

operating models. The role requires a senior technology professional with broad enterprise technology experience, strong understanding of emerging AI capabilities, and demonstrated experience in technology implementation and

consulting. The individual will work with business and technology stakeholders to assess current-state environments, understand business processes and technology landscapes, identify transformation opportunities, and develop

pragmatic technology and AI-led solutions.

The successful candidate will combine technology expertise, business acumen, analytical capability and strong client engagement skills. They should be comfortable operating across business and technology discussions and translating complex client challenges into clearly defined opportunities and executable solutions.

Key responsibilities

Client advisory and current-state assessment

· Lead structured discovery and assessment engagements across business processes, technology environments, applications, data and operating models. · Develop a comprehensive understanding of client business objectives, operating processes, technology landscape and strategic priorities.

· Assess existing technology capabilities, architectural considerations, data availability, integration landscape and implementation constraints.

· Identify process inefficiencies, technology gaps, operational challenges and areas of improvement through stakeholder discussions and structured analysis.

· Develop a fact-based view of the current state and establish the key areas requiring transformation.

AI and technology transformation

· Identify and evaluate opportunities for applying AI, GenAI and emerging technologies to enterprise business processes. · Assess the suitability of AI-based approaches against conventional technology, process redesign and automation alternatives.

· Develop a practical understanding of AI capabilities including large language models, retrieval-augmented generation, AI agents, intelligent automation and AI-enabled workflows.

· Evaluate AI opportunities across business value, technical feasibility, data readiness, risk, complexity and implementation requirements.

· Develop transformation hypotheses and opportunity areas aligned to the client's strategic and operational priorities.

· Support the development of AI and technology transformation roadmaps and implementation priorities.

Solution architecture and solution shaping

· Translate business and transformation requirements into high-level solution concepts and target-state architectures. · Define the key technology, data, integration, AI and application components required to support proposed solutions.

· Evaluate architectural options and articulate relevant technology choices, dependencies and trade-offs.

· Work closely with engineering and delivery teams to validate feasibility and develop implementation approaches.

· Contribute to solution estimates, delivery models,



implementation roadmaps and technology proposals.

· Ensure that proposed solutions are practical, scalable and aligned with the client's existing technology ecosystem.

Client stakeholder management

· Establish and maintain trusted relationships with senior business and technology stakeholders. · Lead client workshops, discovery sessions, assessments and solution discussions.

· Engage effectively with technology leadership, business leadership, operations teams, architects and engineering stakeholders.

· Communicate complex technology and AI concepts clearly to both technical and non-technical audiences.

· Present findings, recommendations, solution options and transformation priorities to senior stakeholders.

· Demonstrate the ability to constructively challenge assumptions and facilitate informed client decision-making.

Consulting and opportunity development

· Support clients in identifying and prioritizing technology and AI transformation opportunities. · Translate identified business challenges into well-defined use cases and solution opportunities.

· Contribute to account strategy, opportunity development, proposals, RFP responses and client presentations.

· Develop solution narratives and propositions that connect client priorities with relevant technology and AI capabilities.

· Identify opportunities for further consulting, assessment and implementation engagements based on client needs.

· Collaborate with sales, consulting, architecture and engineering teams to progress opportunities from initial discovery through solution definition.

Required experience and qualifications

· 10+ years of relevant experience in technology consulting, enterprise technology, solution architecture, digital transformation or technology implementation, with significant experience working with Banking and Financial Services (BFS) clients. · Demonstrated experience working with enterprise clients and complex technology environments.

· Strong understanding of Banking and Financial Services business processes, operating models and technology environments, with the ability to assess client challenges and identify technology and AI-led transformation opportunities across relevant BFS functions.

· Strong understanding of enterprise technology domains including application architecture, integration, APIs, cloud platforms, data platforms and enterprise systems.

· Prior experience in technology implementation or delivery, with sufficient technical depth to engage effectively with architects, engineers and technology leadership.

· Strong working knowledge of AI and GenAI concepts and their application within enterprise environments.

· Experience in assessing, designing or implementing AI-enabled solutions is preferred.





· Demonstrated ability to conduct current-state assessments and develop technology transformation recommendations.

· Experience working directly with senior business and technology stakeholders.

· Solid analytical, problem-solving and structured thinking capabilities.

· Excellent written, verbal and presentation skills.

· Willingness and ability to operate across multiple industries, business functions and technology environments.

Core competencies

BFS domain expertise: Strong understanding of banking and financial services processes, operating models, regulatory considerations and technology environments, with the ability to translate domain challenges into transformation opportunities. Technology advisory: Ability to evaluate enterprise technology environments and provide pragmatic recommendations across applications, architecture, data, integration and emerging technologies.

AI fluency: Strong conceptual and practical understanding of enterprise AI and GenAI capabilities, including their applicability, limitations, architecture and implementation considerations.

Business and process understanding: Ability to understand complex business processes, operating models and organizational challenges and translate them into technology opportunities.

Consulting and assessment: Ability to independently structure ambiguous problems, conduct assessments, synthesize findings and develop actionable recommendations.

Solution shaping: Ability to translate business requirements and identified opportunities into credible technology and AI solution concepts and implementation approaches.

Client leadership: Strong executive presence and the ability to establish credibility, facilitate discussions and communicate effectively with senior stakeholders.

Commercial orientation: Ability to recognize emerging client needs and translate them into relevant consulting and technology opportunities.

Preferred attributes

· Experience in a technology consulting, professional services or systems integration environment. · Exposure to enterprise transformation or modernization programmes.

· Experience working across business and technology functions.

· Demonstrated experience working with banks, financial institutions, fintechs or other BFS organizations is required.

· Familiarity with enterprise AI governance, security, data privacy and responsible AI considerations.

· Experience contributing to proposals, RFPs, solution presentations and client pursuits.

Role profile

The ideal candidate is a senior technology consulting professional with broad enterprise experience and strong AI fluency, capable of operating across the business, technology and solution layers. The role requires an individual who can independently assess a client's current environment, identify meaningful transformation opportunities, determine where AI can provide differentiated value, and translate those opportunities into practical solutions and implementation pathways.

The position is therefore suited to a professional who combines technology depth with breadth of perspective, consulting maturity, commercial awareness and strong client leadership, rather than one whose expertise is limited to a single technology or technical specialization.

📌 Tech Solution Architect (Maharashtra)
🏢 Latent Bridge
📍 Maharashtra