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Technical Architect-Azure AI

Technical Architect-Azure AI

ConfidentialHyderabad / Secunderabad, Telangana
9 days ago
Job description

Key Responsibilities

Pre-Sales & Client Engagement

  • Act as the AI subject matter expert in client conversations, workshops, and solution envisioning sessions.
  • Support proposal development, architecture documentation, and effort estimation for AI projects.
  • Translate complex business needs into high-level and detailed technical architecture diagrams and blueprints.

Design Azure AI Solutions

  • Define architectural patterns for integrating LLMs, generative AI, RAG pipelines, vector databases (e.g., Azure AI Search, FAISS), and orchestration frameworks (e.g., Semantic Kernel, LangChain).
  • Support team in building Azure Cost estimates for various types of solution archetypes, provide guidance on selecting the most cost-effective Azure AI service configurations (e.g., model size, region, compute SKUs).
  • Ensure scalability, security, governance, and compliance are foundational in all designs.

    • Copilot Extension & Customization

  • Provide subject matter expertise in using Azure AI Studio to extend and fine-tune Microsoft 365 Copilots and custom business Copilots.
  • Integrate enterprise data and logic to create domain-specific copilots aligned with customer workflows.
  • Apply prompt engineering and grounding strategies to enhance context awareness and action-taking capabilities.

    • Advanced AI Pipeline Development

  • Build retrieval-augmented generation (RAG) pipelines and advanced RAG pipelines (such as GraphRAG) using Azure AI Search, Cognitive Search, and Semantic Kernel.
  • Design chunking, embedding, ranking, and post-processing strategies to optimize search relevance and model responses.
  • Connect unstructured and structured content (e.g., PDFs, Word, Excel, D365 data) to GenAI models for personalized search and Q&A.
  • Leverage Azure Custom Skills to enrich data across the pipeline to build enterprise-grade scaled AI solutions

    • AI Agent Design and Orchestration

  • Design and deploy multi-step AI agents that reason, retrieve, and take action based on dynamic workflows.
  • Develop solution archetypes (e.g., knowledge assistants, workflow copilots, policy advisors) powered by Semantic Kernel or Azure OpenAI Function Calling.
  • Implement agent memory, state management, and tool integration (APIs, plugins, functions).

    • AI Lifecycle Engineering

  • Automate deployment using Azure DevOps, CI / CD, and containerization where needed.
  • Monitor model outputs for relevance, accuracy, and alignment to responsible AI principles.
  • Collaborate with data engineers, solution architects, and UX designers for full-stack deployment.

    • Technical Leadership & Delivery Oversight

  • Provide technical leadership on AI implementations, including model training, inferencing, and MLOps integration.
  • Conduct architecture reviews, code walkthroughs, and design governance.

    • Collaboration and Communication

  • Collaborate cross-functionally (software engineering, product, design, etc.) to align AI solutions with business goals.
  • Document and communicate technical designs, roadmaps, and updates to both technical and non-technical stakeholders.

    • Research and Innovation

  • Stay current on emerging AI / ML and Generative AI trends, frameworks, and tools, recommending advancements that can enhance our AI initiatives.
  • Champion a culture of continuous learning and experimentation across the organization.

    • Qualifications

  • Education :
  • Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).
  • Experience :
  • 5+ years of hands-on AI / ML engineering experience, with a strong focus on Microsoft Azure.
  • Proven experience with Generative AI models (LLMs, text or image generation) is highly desirable.
  • Required Skills :
  • 5+ years of experience in AI / ML solution engineering, with a focus on Microsoft Azure AI services.
  • Proficient with :
  • Azure AI Studio, Azure OpenAI Service, Azure Cognitive Search / AI Search
  • Semantic Kernel, LangChain (preferred), or similar orchestration frameworks
  • Prompt engineering, grounding techniques, embedding models
  • Experience building RAG-based applications and deploying GenAI models in production.
  • Strong Python and / or C# skills for SDK use and orchestration logic.
  • Familiarity with REST APIs, Azure Functions, and plugin development.
  • Azure certifications (e.g., Azure AI Engineer Associate, Solutions Architect).
  • Experience with Copilot Studio, Graph RAG, or Microsoft Fabric integrations.
  • Knowledge of Responsible AI, prompt safety, and guardrail implementation.

    • Nice to have skills :

    Soft Skills :

  • Excellent problem-solving and analytical abilities.
  • Strong communication and collaboration skills.
  • Ability to work in a fast-paced, agile environment, managing multiple priorities effectively.

    • Skills Required

    Cloud Architecture, Microservices, Devops, Machine Learning, data engineering

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