ID: 59760
9 \- 12 Years
1 Opening
Pune
### **Role description**
- *Job Description: AI Architect (****Agentic AI)** **— 10\+ Years****Role Summary**
We are seeking a highly experienced **AI Architect** with a strong foundation in **.NET enterprise architecture(10\+ years)** and hands‑on capability in **Python and Agentic AI systems**.
The candidate will lead the architecture and technical direction for building **cloud‑native, scalable, secure, and observable AI solutions** on **Microsoft Azure**, with emphasis on **Azure App Services**, **microservices**, **system integration**, and **CI/CD automation using Terraform**.
### **Solution Architecture \& System Design (.NET \+ Microservices)**
- Architect and design **cloud‑native solutions** using **.NET** and **microservices architecture** with modern integration patterns.
- Lead architecture reviews and ensure consistency with scalability, resiliency, performance, and maintainability principles.
### **Azure Engineering \& Platform Enablement**
- Design and guide implementation using **Azure App Services** and broader Azure platform services as needed.
- Ensure cloud architecture covers **security, identity, networking, governance, and operational excellence**.
### **DevOps, CI/CD \& Infrastructure as Code**
- Partner with DevOps/Platform teams to implement and optimize **CI/CD pipelines**, deployment strategies, and environment automation.
- Drive **Infrastructure as Code (IaC)** using **Terraform templates** for repeatable and compliant deployments.
### **Integration, APIs \& Enterprise Connectivity**
- Own the approach for **system integration**, API strategy, and service contracts across internal/external systems.
- Ensure robust patterns for API reliability, versioning, backward compatibility, and integration resilience (timeouts, retries, circuit breakers).
### **Observability, Reliability \& Quality**
- Define **observability standards** for distributed systems: logs, traces, metrics, and operational dashboards.
- Drive reliability practices across microservices and AI components (resiliency, fallbacks, monitoring, runbooks).
### **Exposure to AI / Agentic Architecture**
- Define and drive **end‑to‑end architecture** for **Agentic AI solutions** including orchestration patterns, tool/function calling, and guardrails.
- Translate business problems into **agent workflows**, capability decomposition, and measurable success criteria.
- Establish architectural standards for **prompting strategy, agent memory/context handling**, and evaluation approach (quality, safety, reliability).
### **Technical Leadership**
- Mentor engineers and guide best practices through design reviews, reference implementations, and enablement sessions.
- Collaborate with product, engineering, and stakeholders to align architecture with roadmap and delivery milestones.
- *Required Qualifications (Must‑Have)**
- **10\+ years** overall experience in software engineering / architecture with strong **enterprise .NET** background.
- Experience designing or implementing **Agentic AI systems** (agents, orchestration, tools, context, guardrails).
- Strong experience with **Azure App Services** and cloud‑native design.
- Strong experience in **CI/CD** and **Infrastructure as Code using Terraform**.
- Proven expertise in **microservices architecture** and **system integration**.
- *Preferred / Nice‑to‑Have**
- Exposure in **Python** (building services, integrations, orchestration utilities, or AI pipelines).
- Experience with **event‑driven architecture**, messaging, and async processing patterns on Azure.
- Knowledge of modern architectural styles/patterns (e.g., DDD, orchestration patterns, API gateways).
- Experience with Azure monitoring/observability tools and production operations.
- Exposure to secure cloud design (secrets management, identity, governance).
- Architecture thinking, engineering excellence, and strong stakeholder communication
- Ability to simplify complex systems and establish pragmatic standards
Strong ownership mindset across design build* run (operational readiness)
### **Skills**
agentic ai,generative ai,large language model,api integration,python,langgraph,model deployment,prompt engineering
### **About UST**
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future\-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.