Solutions Architect

Location: Chennai, India

Department: Technology

Experience: 4 - 8 years

Job Summary

Key Responsibilities

• Lead discovery and scoping conversations with prospects and customers to identify business goals, data sources, workflows, compliance needs, and success metrics.
• Translate client requirements into clear Scopes of Work, solution documents, workflow maps, architecture diagrams, and implementation plans.
• Define deliverables, assumptions, dependencies, timelines, acceptance criteria, out-of-scope items, and change-control processes for each engagement.
• Partner with Sales, Product, Engineering, and Delivery to ensure client commitments are realistic, commercially sound, and technically feasible.
• Configure client environments across connectors, user roles, approval flows, brand rules, knowledge context, reporting needs, and deployment settings.
• Manage implementation readiness, testing, user acceptance, issue resolution, and go-live coordination with the client.
• Capture recurring customer asks, integration gaps, delivery risks, and market patterns to inform product roadmap decisions.

Required Prerequisites

• 4–8 years of experience in solutions architecture, pre-sales, implementation, technical account management, delivery, sales engineering, or a similar customer-facing technical role.
• Prior experience working with SaaS, platform, enterprise software, martech, adtech, analytics, AI, or data-heavy products.
• Proven ability to write clear Scopes of Work, solution documents, requirement documents, or implementation plans.
• Strong technical understanding of APIs, OAuth, data integrations, account access, user permissions, cloud deployment, and system architecture.
• Experience working directly with enterprise customers, senior stakeholders, sales teams, product teams, and engineering teams.
• Ability to manage scope, timelines, dependencies, risks, and change requests across complex client implementations.

Core Competencies & Skills

• Strong discovery skills with the ability to identify what the client truly needs beyond the stated ask.
• Ability to simplify complex technical and business requirements into clear, signed, buildable scopes.
• Strong customer-facing communication with the confidence to manage senior stakeholders and push back when needed.
• Practical understanding of AI products, including model limitations, usage cost, approval flows, governance, and reliability risks.
• Ability to quickly create solution prototypes, workflow diagrams, mockups, demos, or proof-of-concepts based on customer requirements.
• Familiarity with AI tools such as Claude, ChatGPT, Claude Code, Cursor, Lovable, v0, Replit, or similar tools for prototyping, documentation, and solution design.
• Strong understanding of integrations across ad platforms, analytics tools, attribution systems, CRM systems, and internal business data sources.
• Commercial awareness to connect scope, pricing, timeline, delivery effort, and change requests.
• Strong documentation skills across SOWs, proposals, architecture diagrams, workflow maps, implementation plans, and UAT checklists.
• Comfort working across multiple industries, including regulated or compliance-heavy environments.
• Ability to work with partner-led deals, white-label requirements, embedded deployments, and enterprise procurement processes.
• Strong ownership mindset with the ability to follow through from first scoping call to successful go-live.