JOB TITLE- Solutions Architect/Engineer - Data & Agentic AI Solutions

Role Summary

This role is not a traditional delivery-only Data Architect role.

The ideal candidate must be able to:

Operate effectively in highly ambiguous environments
Rapidly transform incomplete client requirements into structured technical solutions
Build assumptions, workload models, LOE estimates, and delivery approaches
Interface directly with Sales, Clients, Delivery, and Practice Leadership
Prototype and operationalize modern data and AI architectures
Support pre-sales, RFP responses, and technical solutioning
Create reusable accelerators, frameworks, and implementation patterns

The role combines:

This individual will work closely with:

Take vague business requirements and rapidly create structure, assumptions, and solution direction
Build end-to-end data and AI implementation strategies with minimal guidance
Clearly communicate architecture concepts to both technical and business stakeholders
Develop practical LOE models and staffing approaches aligned to delivery realities
Operate independently under tight timelines and incomplete information
Build trust with sellers, practice leads, and clients through responsiveness, ownership, and communication
Create reusable IP and technical accelerators for the Data Intelligence Practice

Partner directly with clients, sellers, and practice leadership to understand business challenges and technical requirements
Rapidly design and prototype scalable data and AI solutions
Translate incomplete or evolving client requirements into actionable architecture and delivery plans
Conduct technical discovery workshops and architecture whiteboarding sessions
Support client demonstrations, proof-of-concepts, pilot implementations, and modernization initiatives
Design and operationalize cloud-native and AI-enabled data platforms
Troubleshoot and resolve architecture, integration, and deployment issues during solution development

Design modern data platforms using:
Snowflake
Databricks
Azure Synapse
Microsoft Fabric
AWS Data Services
Lakehouse / Medallion Architectures
Data Mesh Patterns
Design scalable ingestion, transformation, orchestration, and analytics frameworks
Implement metadata-driven and self-healing pipeline concepts
Design lineage, governance, and cataloging approaches using:
Microsoft Purview
Collibra
Alation
Snowflake Horizon
Design secure, compliant architectures aligned with enterprise governance requirements
Implement AI-ready data architectures for:
RAG systems
Agentic AI frameworks
Vector databases
LLM integrations
Semantic search
AI orchestration frameworks

Build and operationalize AI workflows using:
OpenAI
Azure OpenAI
Claude
Gemini
LangChain
LangGraph
Semantic Kernel
Vector databases
Support development of:
AI agents
AI copilots
Retrieval Augmented Generation (RAG)
AI orchestration pipelines
Autonomous workflows
Participate in AI governance, observability, prompt engineering, and model evaluation activities
Develop reusable AI accelerators and implementation templates

8–15 years of experience in Data Engineering, Cloud Architecture, Analytics, AI/ML, or Solution Architecture
Strong hands-on implementation experience in enterprise data platforms
Experience supporting client-facing consulting or pre-sales activities
Experience building technical proposals, architecture diagrams, and implementation approaches
Experience of working directly with business stakeholders and enterprise clients
Experience operating in ambiguous, fast-moving consulting environments
Experience estimating projects and supporting staffing / LOE models