Role Overview
We are looking for an experienced AI Solution Architect to lead the design and articulation of enterprise-grade AI solutions, with deep hands-on knowledge of Microsoft Azure AI and modern generative and agentic AI capabilities. This role focuses on understanding customer business needs, shaping AI-driven transformation strategies, presenting compelling solution designs, and supporting successful delivery execution.
The ideal candidate combines good technical expertise with consulting skills-able to guide customers, recommend prudent AI approaches, and communicate clear value propositions that align with business outcomes.
Key Responsibilities
1. Customer Engagement & Requirements Discovery
- Lead customer workshops to understand goals, processes, challenges, and expected outcomes.
- Translate business requirements into structured AI use cases with clear feasibility, ROI, and prioritization.
- Conduct current-state assessments covering data readiness, integration needs, compliance, and security.
2. AI Solution Architecture & Design
- Design end-to-end AI solutions using:Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, Azure Cognitive Services, Azure Data Platform (ADLS, Fabric, Databricks, Synapse)Vector search, embeddings, and retrieval-augmented generation (RAG)
- Develop architecture diagrams, data flows, integration patterns, and system component definitions.
- Define solution options, trade-offs recommendations based on business value and risk.
- Ensure solutions adhere to enterprise standards for scalability, performance, privacy, and governance.
3. Consulting & Thought Leadership
- Act as a trusted advisor to customers on AI adoption, roadmap planning, and responsible AI practices.
- Provide clear guidance on MLOps/LLMOps, data governance, security, and deployment strategies.
- Share knowledge on Azure AI capabilities, innovations, and Microsoft's product roadmap.
4. Proposal Development & Presales Support
- Prepare high-quality proposals, solution decks, and value proposition statements.
- Respond to RFP/RFI documents with accurate, clear, and competitive solution descriptions.
- Conduct customer presentations, demos, POCs, and technical deep dives.
- Partner with sales teams to articulate solution differentiation and business value.
5. Delivery Handover & Execution Support
- Provide technical oversight during project initiation and design phases.
- Support delivery teams with clarifications, design governance, and risk mitigation.
- Participate in review sessions to ensure solution integrity throughout implementation.
6. Reusable Assets & Knowledge Creation
- Create reusable frameworks, solution accelerators, demo environments, and reference architectures.
- Contribute to internal playbooks, best practices, and industry-specific AI templates.
- Stay updated with Azure AI advancements, enterprise AI trends, and generative AI patterns.
Required Skills & Experience
Technical Skills
- Bachelor's degree in computer science, Information Technology, or a related discipline.
- 7+ years in AI/ML, cloud architecture, or solution design at least 3 years with Azure AI.
- Hands-on expertise with:Azure OpenAI (GPT models, embeddings, chat orchestration)Azure Machine Learning (pipelines, model registry, deployment)Cognitive Services (vision,speech)Azure Data services (Fabric, ADLS, Databricks)API integration, microservices, and serverless architectures
- Experience designing RAG architectures, conversational agents, document intelligence, predictive models, or enterprise automation solutions.
- Understanding of enterprise security, identity, compliance, and responsible AI guidelines.
Consulting & Presales Skills
- Ability to translate technical concepts into business-friendly narratives.
- Presentation, negotiation, and client-facing communication skills.
- Experience in writing proposals, solution briefs, and architecture documents.
- Ability to guide CXO-level stakeholders and handle technical deep-dive discussions.
Soft Skills
- Strategic thinker with problem-solving and analytical abilities.
- Confident communicator with excellent articulation skills.
- Team collaborator, proactive, detail-oriented, and customer-obsessed.
Qualifications
- Microsoft certifications:Azure AI Engineer AssociateAzure Solutions Architect ExpertAzure Data Engineer Associate
- Experience in enterprise data modernization, analytics, or cloud transformation.
- Exposure to domain-specific AI use cases (banking, insurance, retail, government, manufacturing).
Interested candidates may send in their resume and cover letter directly to [Confidential Information]
Hibah Bakhtavar | EA License No. 02C3423 | Personnel Registration No. R21103109
