Data & AI Architect

Data & AI Architect (Solutioning & Competency)
Experience: 14 to18 Years
Location: Flexible
Role Type: Full Time
Role Overview
We are seeking an experienced Data & AI Architect to drive strategic solutioning, presales, and customer engagement initiatives across Data, Cloud, Analytics, and AI domains. The candidate will be responsible for architecting business-centric solutions, supporting proposal responses, leading client workshops, creating AI-enabled transformation roadmaps, and developing innovative Proof of Concepts (PoCs) that accelerate customer decision-making.
The ideal candidate combines strong technical depth with consulting and business acumen and can effectively engage CXOs, business stakeholders, and technical teams.
Key Responsibilities
AI-Enabled Solution Architecture
Design end-to-end Data, Cloud, Analytics, and AI solutions for enterprise customers.
Define target-state architectures leveraging Cloud, Data Platforms, GenAI, AI Agents, and Intelligent Automation.
Embed AI capabilities into data modernization, application modernization, and cloud transformation initiatives.
Evaluate emerging AI technologies and develop solution accelerators.
Presales & Proposal Management
Lead technical solutioning for RFPs, RFIs, RFQs, and strategic pursuits.
Create solution architectures, effort estimates, delivery models, and commercial inputs.
Develop winning proposal content, executive presentations, and value propositions.
Collaborate with sales, delivery, and alliance teams to craft differentiated offerings.
Customer Engagement & Consulting
Conduct discovery workshops and customer strategy sessions.
Engage business and technology stakeholders to understand challenges and define transformation roadmaps.
Present solution recommendations to customer leadership and executive teams.
Act as a trusted advisor on Data, Cloud, and AI transformation initiatives.
Proof of Concepts (PoCs) & Innovation
Lead development of PoCs, MVPs, and solution demonstrations.
Validate emerging technologies and reference architectures.
Build reusable frameworks, accelerators, and industry-specific solutions.
Demonstrate business value through measurable outcomes and innovation showcases.
Data & Cloud Modernization
Architect modern data platforms and cloud-native solutions.
Define strategies for data migration, platform modernization, governance, analytics, and AI enablement.
Guide adoption of Data Lakehouse, Data Mesh, Data Products, and Enterprise Semantic Layer approaches.
Ensure scalability, security, compliance, and performance of proposed solutions.
Practice & Capability Development
Contribute to service offerings, solution blueprints, and go-to-market assets.
Mentor solution architects and technical consultants.
Support alliance relationships with hyperscalers and technology partners.
Participate in thought leadership, industry events, and capability-building initiatives.
Required Skills & Experience
Technical Expertise
Strong experience in Enterprise Data Platforms, Analytics, and AI solutions.
Hands-on architecture experience on at least one major hyperscaler: Microsoft Azure, AWS, or Google Cloud Platform.
Experience with modern data technologies such as Databricks, Microsoft Fabric, Snowflake, Synapse, or equivalent platforms.
Good understanding of Data Governance, Metadata Management, Data Quality, and MDM.
Experience with GenAI, LLMs, AI Agents, RAG architectures, and AI governance frameworks.
Knowledge of MLOps, DataOps, and cloud-native architecture patterns.
Presales & Consulting
Proven experience supporting large proposals and strategic deals.
Ability to create solution blueprints, costing models, and executive presentations.
Strong customer-facing consulting and stakeholder management skills.
Experience in business case development and value articulation.
Leadership & Communication
Excellent communication and presentation skills.
Ability to engage with CXO-level stakeholders.
Strong problem-solving and analytical capabilities.
Experience leading cross-functional and geographically distributed teams.
Preferred Qualifications
Bachelor's Computer Science, Information Systems, or related field.
Cloud certifications (Azure Solutions Architect, AWS Solutions Architect, GCP Professional Architect, etc.).
AI/ML, Data Engineering, Databricks, Fabric, or related certifications preferred.
Experience in consulting, system integration, or technology services organizations.

Work arrangement
No