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Job Details :

We are seeking an experienced Appian Architect (Agentic & AI) to join our organizations a senior technical leader driving the design and implementation of next-generation AI-powered process automation solutions. This role combines deep expertise in the Appian platform with advanced knowledge of agentic AI, large language models (LLMs), and intelligent automation patterns.

The Appian Architect will lead end-to-end architecture for complex workflow, decisioning, and case-management solutions, with emphasis on agentic orchestration where multiple Agents collaborate to perform sophisticated business tasks.

Key Responsibilities :

- Define target's tate architecture for complex Appian solutions integrating processes, RPA, APIs, events, and agentic AI.

- Design multi?agent AI workflows with human?in?the-loop 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 end?to-end 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 Appian Sites, Records, Interfaces, Data Fabric, Agent Studio, AI, and RPA.

- Deliver scalable, secure, and high?quality solutions meeting business and SLA expectations.

Work Experience :

- 11+ years of IT experience in enterprise application design, development, and delivery.

- 7 - 8 years of hands on Appian delivery experience in architect/lead roles across large-scale implementations.

- 3 - 4 years of experience designing and implementing AI/ML/LLM or generative AI solutions within enterprise workflows.

- Advanced expertise in Appian components : Process Models, Records, Sites, Interfaces, Data Fabric, Processes Portal, Appian RPA, and AI capabilities (Generative AI, AI Document Center, Private LLM).

- Practical experience with Appian Agent Studio (beta or GA) for designing, building, and deploying autonomous agents.

- Strong understanding of Appian cloud deployment, scalability, and performance optimization patterns.

- Hands-on experience integrating LLM and generative AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI, on?prem LLMs) into enterprise processes.

- Experience architecting multi-agent and agentic automation workflows for complex, multi-step business tasks.

- Solid knowledge of prompt engineering, prompt optimization, and responsible AI practices (hallucination mitigation, bias control, guardrails).

- Experience working with Azure cloud services.

- Strong database design skills and SQL proficiency.

Good To Have :

- Strong proficiency in Python or similar programming languages.

- Experience with version control tools (Git/GitHub) and CI/CD pipelines.

- Familiarity with application performance monitoring and observability tools.

- Working knowledge of Agile/Scrum methodologies and DevOps practices.

- Understanding of major compliance frameworks (SOX, HIPAA, PCI?DSS, GDPR, FedRAMP) and their impact on system design.

- Knowledge of business process optimization, intelligent automation ROI, and enterprise process mining.

- Hands-on experience with RPA technologies such as UiPath or Blue Prism.

Educational Requirements :

- Bachelors degree in computer science, Information Technology or any other related discipline or equivalent related experience.

Preferred Certifications :

- Appian Advanced Developer or Lead Certification (or equivalent Level 2+) Mandatory.

- Advanced professional certifications in related areas preferred (cloud platforms, AI/ML, enterprise architecture).

Skills & Knowledge :

Behavioral Skills :

- Collaboration

- Creativity & Innovation

- Decision Making

- Planning

- Presentation Skills

- Risk-taking

Technical Skills :

- Cloud Architecture

- Data Architecture & Governance

- Integration Testing and Validation

- Operating Systems

- Programming and Development

- Application Architecture

- Software Development Life Cycle (SDLC)

Tools Knowledge :

- Architecture Framework tools

- Cloud Computing Tools (AWS, Azure, Google Cloud)

- Integration and Deployment tools (Jenkins, Copado, Azure DevOps)

- Programming and Development and Development Languages