Client Solutions Specialist

Job Summary

We are seeking a highly experienced and strategic Client Solutions Partner – AI & Cloud to join our AI Go-To-Market (GTM) team and serve as the trusted technical advisor for enterprise customers.

The ideal candidate will combine deep technical expertise in Artificial Intelligence (Generative AI, Machine Learning, Computer Vision) with strong client-facing, consultative, and pre-sales experience, helping organizations envision, design, and adopt transformative AI-powered solutions.

This role requires an exceptional technologist who can bridge business and technology, architect scalable AI systems, drive enterprise technical wins, and influence AI strategy while collaborating closely with senior executives, customers, and internal stakeholders.

The successful candidate should have strong expertise in Google Cloud Platform (GCP) along with exposure to AWS and Azure, and a proven track record in enterprise solution architecture, technical sales, and customer success.

Key Responsibilities

1. AI Solution Architecture & Advisory

• Act as a trusted technical advisor to strategic enterprise customers
• Architect scalable, production-grade AI and cloud solutions aligned with business objectives
• Design end-to-end AI solution architectures across:
• Generative AI
• LLMs (Large Language Models)
• RAG (Retrieval-Augmented Generation)
• AI Agents
• Computer Vision
• Machine Learning platforms
• Define customer technology roadmaps and future-state architectures

2. Technical Pre-Sales & Go-To-Market (GTM) Leadership

• Lead the technical sales lifecycle including:
• Discovery sessions
• Technical qualification
• Solution positioning
• Objection handling
• Technical win strategy
• Partner with sales teams to develop:
• Sales plans
• GTM strategies
• AI opportunity pipelines
• Support enterprise deal closures and strategic account growth

3. Proof of Concept (PoC) Development

• Design, build, and lead rapid Proofs-of-Concept (PoCs) to demonstrate business value
• Develop hands-on AI prototypes primarily on:
• Google Cloud Platform (GCP)
• AWS
• Azure (preferred)
• Remove technical blockers and validate feasibility for enterprise adoption

4. Executive Stakeholder Engagement

• Deliver compelling technical presentations, workshops, and demonstrations to:
• Engineering Teams
• Business Stakeholders
• Senior Leadership
• CXOs and Executive Committees
• Translate complex technical concepts into business outcomes and ROI-focused messaging
• Build credibility and trusted partnerships with enterprise clients

5. Data Strategy & AI Enablement

• Define enterprise data strategies that support scalable AI adoption, including:
• Data ingestion
• Data governance
• Data modeling
• Analytics enablement
• AI consumption frameworks
• Ensure alignment between business objectives and AI/data capabilities

6. Cloud Architecture & Systems Design

• Architect highly scalable, secure, and production-ready cloud systems
• Lead cloud-native AI deployments across:
• Google Cloud Platform (GCP)
• AWS
• Microsoft Azure
• Design:
• Distributed architectures
• Data pipelines
• AI infrastructure
• Cloud-native integrations

7. Business Development & Innovation

• Identify and develop new AI-led business opportunities and value-added services
• Stay current with emerging trends in:
• Artificial Intelligence
• Data Science
• Cloud Technologies
• Business Research
• Machine Learning
• Recommend innovative AI solutions for clients across industries

8. Leadership & Team Mentorship

• Mentor and guide junior AI engineers and technical teams
• Foster a culture of:
• Innovation
• Collaboration
• Continuous learning
• Technical excellence
• Act as a force multiplier for AI capability development

Required Skills & Expertise

Artificial Intelligence & Data Science

• Generative AI (GenAI)
• Retrieval-Augmented Generation (RAG)
• AI Agents
• Large Language Models (LLMs)
• Computer Vision
• Machine Learning (ML)
• Deep Learning
• Data Science & Analytics
• AI Solution Deployment

Cloud & Architecture

• Google Cloud Platform (GCP) – Mandatory (5+ Years)
• AWS
• Microsoft Azure
• Cloud Architecture
• Production-grade Systems Design
• Scalable Distributed Systems
• AI Infrastructure Design

Data Strategy & Governance

• Data Ingestion
• Data Modeling
• Data Governance
• Data Pipelines
• Enterprise Analytics
• AI Enablement Strategy

Pre-Sales & Consulting

• Solution Architecture
• Technical Pre-Sales
• Enterprise Consulting
• Customer Discovery Workshops
• Technical Presentations & Demos
• Executive Stakeholder Management
• Technical Proposal Development
• Solution Positioning

Business & Analytical Skills

• Business Analysis
• Quantitative Analysis
• Strategic Thinking
• Problem Solving
• Innovation & Ideation
• Opportunity Identification

Tools & Technologies

• Vertex AI
• BigQuery
• Kubernetes
• APIs & Integrations
• ML Frameworks
• PowerPoint / Executive Presentations

Soft Skills

• Exceptional communication and storytelling skills
• Strong executive presence and client engagement abilities
• Excellent presentation and articulation skills
• Consultative mindset and customer-first approach
• Ability to simplify complex technical concepts
• Self-driven and entrepreneurial mindset
• Strong mentoring and leadership capabilities
• Ability to thrive in fast-paced environments

Qualifications

• Bachelor’s Degree in:
• Computer Science
• Engineering
• Information Technology
• Data Science
• Related discipline

Preferred:

• Master’s Degree / MBA (added advantage)

Experience

• 10+ years of experience in:
• Solutions Architecture
• Technical Consulting
• AI / Cloud Solutions
• Technical Pre-Sales / GTM
• Customer-facing technical leadership roles
• Minimum 5+ years hands-on experience in Google Cloud Platform (GCP)