AI Architect

Responsibilities We are seeking an experienced AI Architect with strong expertise in AI/Generative AI technologies and Microsoft .NET ecosystem to lead the delivery of enterprise‑scale digital transformation and modernization programs. The ideal candidate will combine project management excellence with deep technical understanding of AI‑driven solutions, .NET application development, cloud platforms, and agile delivery methodologies. This role requires managing cross‑functional teams, defining delivery roadmaps, governing project execution, mitigating risks, and ensuring successful implementation of AI‑powered applications while maintaining quality, security, and compliance standards. Key Responsibilities Project & Program Management Lead end‑to‑end delivery of AI and .NET–based projects from initiation through production deployment. Define project scope, timelines, milestones, budgets, dependencies, and resource plans. Drive Agile/Scrum ceremonies including sprint planning, reviews, retrospectives, and release planning. Track project progress, risks, issues, and escalations while ensuring timely resolution. Establish governance frameworks, reporting mechanisms, and stakeholder communication plans. AI & Digital Transformation Delivery Manage implementation of GenAI, LLM, Agentic AI, RAG, NLP, and AI automation solutions. Coordinate AI solution design, development, testing, deployment, and adoption activities. Ensure Responsible AI practices, security controls, and compliance requirements are incorporated into delivery. Collaborate with AI Architects and Data Science teams to translate business requirements into technical solutions. Oversee modernization and development initiatives using: .NET Core / ASP.NET Core C# REST APIs Microservices Event‑driven architectures Manage application migration, legacy modernization, and cloud transformation projects. Ensure adherence to architecture standards, coding practices, and performance benchmarks. Stakeholder & Client Management Serve as the primary interface between business stakeholders, clients, architects, and delivery teams. Conduct project status reviews, steering committee meetings, and executive reporting. Manage customer expectations and ensure alignment with business objectives. Technical Leadership Partner with Solution Architects, AI Architects, Development Leads, QA, DevOps, and Business Analysts. Facilitate architecture reviews, technical workshops, and solution governance. Drive continuous improvement initiatives and enhance delivery efficiency through AI‑assisted tools. Risk & Quality Management Identify delivery risks, dependencies, and bottlenecks proactively. Define mitigation and contingency plans. Ensure adherence to quality standards, security policies, and project governance requirements. Monitor KPIs, project health metrics, and delivery performance. Required Skills & Qualifications Mandatory Skills 10+ years of IT experience with strong understanding of: Generative AI LLMs Agentic AI Frameworks Hands‑on knowledge of: .NET Core / ASP.NET Core C# REST APIs Strong expertise in Agile, Scrum, Kanban, and SAFe methodologies. Experience with project management tools such as Jira, Azure DevOps, and Microsoft Project. Excellent stakeholder, client‑facing, and communication skills. Strong risk management and governance experience. Preferred Skills DevOps Practices Infrastructure as Code (Terraform, Bicep) Data Engineering and Analytics exposure Banking, Financial Services, FinTech, or Payments domain experience Educational Qualifications Bachelors degree in Computer Science, Information Technology, Engineering, or related field. AI, Azure, or Cloud certifications are highly desirable. Please send the updated resume to View email address on click.appcast.io #J-18808-Ljbffr Coforge