Associate Director - Architecture

Role Summary

We are seeking a seasoned Technical Architect Microsoft Technologies GenAI who can lead enterprise solution architecture, define scalable technology strategies, and drive innovation across modern Microsoft ecosystems. This role requires deep expertise in cloud-native architecture, strong hands-on experience in Azure and .NET platforms, and the ability to embed GenAI capabilities into enterprise solutions.

Primary Skill Set

• MustHave:

  • Architecture Technical Leadership

  • Deep architectural expertise in .NET, .NET Core, Angular, and Microsoft Azure ecosystem

  • Proven experience designing enterprisescale cloud-native and AI-powered solutions on Azure

  • Strong command of microservices, API-first architecture, event-driven systems, and security frameworks

  • Handson experience in GenAI architecture including LLM integration, prompt engineering, frameworks, retrieval-augmented generation (RAG), and enterprise adoption patterns

  • Experience working with Azure OpenAI, Cognitive Services, Databricks, and AIML platforms

  • Ability to define reference architectures, reusable frameworks, and best practices for scalable delivery, AI, Data, and GenAI integration

  • Expertise in GenAI implementations such as conversational AI, document intelligence, and intelligent automation

  • Knowledge of vector databases, embeddings, and AI orchestration frameworks

  • Ability to embed AI-driven decisioning and automation into business workflows

  • Ownership of architecture governance, design reviews, and technical decision-making

  • Experience in defining technology roadmaps, modernization strategies, and future-state architectures

Secondary Skill Set

• Good to Have:

  • Cloud DevOps

  • Strong familiarity with Azure DevOps, CICD pipelines, and Infrastructure as Code (ARM, Terraform, Bicep)

  • Experience in cloud cost optimization, monitoring, reliability engineering, and observability frameworks

  • Advanced AI, Emerging Tech exposure to Responsible AI, AI governance frameworks, and ethical AI practices

  • Experience in multimodel AI architectures and AI orchestration strategies

  • Consulting Leadership Skills

  • Strong consulting mindset with ability to engage business stakeholders and drive solution adoption

  • Experience mentoring technical architects, leads, and engineering teams

  • Influence technology strategy at enterprise and client levels

Details

Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance, and internal equity.

Benefits/Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision, Short Term and Long-Term Disability Coverage, 401(k) Plan with Company match, Life Insurance, Vacation Time, Sick Leave, Paid Holidays, Paid Paternity and Maternity Leave.

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.