Data & AI Architect

Job description

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.