Architect 1, Appian Automation
Cencora, Inc.
All India, Pune • 1 month ago
Experience: 11 to 15 Yrs
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Job Description
As an experienced Appian Architect (Agentic & AI) at Cencora, you will play a crucial role in designing and implementing next-generation AI-powered process automation solutions. Your deep expertise in the Appian platform and advanced knowledge of agentic AI, large language models (LLMs), and intelligent automation patterns will be key in driving the success of complex workflow, decisioning, and case-management solutions. Here are the key responsibilities you will be handling:
- Define targetstate architecture for complex Appian solutions integrating processes, RPA, APIs, events, and agentic AI.
- Design multiagent AI workflows with humanintheloop controls for accuracy, compliance, and exception management.
- Architect and govern autonomous agents using Appian Agent Studio, ensuring auditability and controlled execution.
- Translate business outcomes into Appian + AI solution roadmaps, governance models, and guardrail frameworks.
- Establish AI governance covering agent authorization, task routing, approvals, and audit trails.
- Implement monitoring and feedback loops to continuously improve agent and model performance.
- Set up observability for agent behavior, LLM performance, latency, cost efficiency, and compliance metrics.
- Ensure alignment with data governance, security, and regulatory requirements (auditability, explainability, PII handling).
- Provide endtoend technical leadership across architecture, delivery, performance tuning, and production support.
- Review and approve designs, integrations, data models, and security frameworks for Appian + AI components.
- Lead development teams across various Appian components such as Sites, Records, Interfaces, Data Fabric, Agent Studio, AI, and RPA.
- Deliver scalable, secure, and highquality solutions meeting business and SLA expectations.
In terms of work experience, you should have 11+ years of IT experience with a strong background in enterprise application design, development, and delivery. Specifically, you should possess 78 years of handson Appian delivery experience in architect/lead roles and 34 years of experience designing and implementing AI/ML/LLM solutions within enterprise workflows. Additionally, you should have expertise in Appian components, Appian Agent Studio, Azure cloud services, LLM integration, and more.
For educational requirements, a Bachelors degree in computer science, Information Technology, or related disciplines is expected. A certification in Appian Advanced Developer or Lead (or equivalent Level 2+) is mandatory, with additional certifications in related areas preferred.
Your skills should encompass both behavioral and technical aspects, including collaboration, creativity, cloud architecture, data governance, programming, and more. Familiarity with tools like Jenkins, AWS, Azure DevOps, and programming languages is beneficial.
Cencora offers a range of benefits tailored to local market practices. The company is committed to equal employment opportunity and providing accommodations to individuals with disabilities during the employment process. If you are looking to contribute to cutting-edge AI solutions within a collaborative and innovative environment, Cencora welcomes your application. As an experienced Appian Architect (Agentic & AI) at Cencora, you will play a crucial role in designing and implementing next-generation AI-powered process automation solutions. Your deep expertise in the Appian platform and advanced knowledge of agentic AI, large language models (LLMs), and intelligent automation patterns will be key in driving the success of complex workflow, decisioning, and case-management solutions. Here are the key responsibilities you will be handling:
- Define targetstate architecture for complex Appian solutions integrating processes, RPA, APIs, events, and agentic AI.
- Design multiagent AI workflows with humanintheloop controls for accuracy, compliance, and exception management.
- Architect and govern autonomous agents using Appian Agent Studio, ensuring auditability and controlled execution.
- Translate business outcomes into Appian + AI solution roadmaps, governance models, and guardrail frameworks.
- Establish AI governance covering agent authorization, task routing, approvals, and audit trails.
- Implement monitoring and feedback loops to continuously improve agent and model performance.
- Set up observability for agent behavior, LLM performance, latency, cost efficiency, and compliance metrics.
- Ensure alignment with data governance, security, and regulatory requirements (auditability, explainability, PII handling).
- Provide endtoend technical leadership across architecture, delivery, performance tuning, and production support.
- Review and approve designs, integrations, data models, and security frameworks for Appian + AI components.
- Lead development teams across various Appian components such as Sites, Records, Interfaces, Data Fabric, Agent Studio, AI, and RPA.
- Deliver sca
Skills Required
APIs
Data Governance
Security
Regulatory Requirements
Technical Leadership
Integration
Data Models
Records
Interfaces
Scalability
Performance Optimization
Database Design
SQL
Python
Version Control
Business Process Optimization
UiPath
Blue Prism
Integration Testing
Operating Systems
Application Architecture
SDLC
Programming Languages
Appian Architect
Agentic AI
Large Language Models
Intelligent Automation
RPA
Agentic Orchestration
AI Workflows
AI Governance
Security Frameworks
Appian Sites
Data Fabric
Agent Studio
AI
RPA
Azure OpenAI
AWS Bedrock
Google Vertex AI
Prompt Engineering
Prompt Optimization
Responsible AI Practices
CICD Pipelines
AgileScrum Methodologies
DevOps Practices
Compliance Frameworks
Intelligent Automation ROI
Enterprise Process Mining
RPA Technologies
Cloud Architecture
Data Architecture Governance
Programming
Development
Architecture Framework Tools
Cloud Computing T
Posted on: March 23, 2026
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