- Job Title: Senior Technical Architect – Banking, Agentic AI & Enterprise Automation
- Experience Required: 15+ Yrs
- Location: Bengaluru / Hyderabad / Chennai

We are seeking a highly accomplished Senior Technical Architect with 15+ years of progressive experience in banking technology, agentic AI solutions, and enterprise automation platforms. The ideal candidate will lead the design and implementation of next-generation intelligent solutions, leveraging cutting-edge platforms such as Maisa AI, Salesforce, UiPath, and Appian, while championing robust integration and enterprise architecture practices across the organization.

This role demands a strategic thinker with deep hands-on technical expertise, capable of architecting scalable, secure, and compliant solutions in highly regulated banking environments.

Key Responsibilities

1. Strategic Architecture & Leadership

- Define and own the end-to-end technical architecture for complex banking transformation programs.
- Lead architectural decisions across multi-platform, multi-vendor ecosystems.
- Provide thought leadership on emerging technologies, particularly in agentic AI and intelligent automation.
- Collaborate with business stakeholders, product owners, and engineering teams to translate business goals into technical roadmaps.

2. Agentic AI Solution Design

- Architect and design autonomous, goal-driven agentic AI solutions for banking use cases (e.g., customer onboarding, fraud detection, KYC/AML, intelligent advisory).
- Design multi-agent orchestration frameworks, including reasoning, planning, memory, and tool-use patterns.
- Define guardrails, observability,



and governance models for AI agents in regulated environments.

3. Maisa AI (or Equivalent) Architecture

- Lead the architecture and design of solutions on Maisa AI or equivalent agentic platforms (e.g., LangGraph, CrewAI, AutoGen, Microsoft Copilot Studio).
- Design Knowledge Processing Units (KPUs) and deterministic agentic workflows.
- Establish integration patterns between agentic platforms and core banking systems.

4. Salesforce Architecture

- Architect Salesforce Financial Services Cloud, Sales Cloud, Service Cloud, and Marketing Cloud solutions.
- Design Salesforce data models, integration patterns (MuleSoft, APIs), security models, and governance frameworks.
- Lead Einstein AI / Agentforce integrations within enterprise ecosystems.

5. UiPath Architecture

- Design enterprise-grade RPA and intelligent automation solutions on UiPath.
- Architect UiPath Orchestrator, AI Center, Document Understanding, and Action Center deployments.
- Define automation governance, CoE operating models, and scaling strategies.

6. Appian Architecture

- Architect low-code BPM and case management solutions on Appian.
- Design process models, data fabrics, integrations, and AI-infused workflows.
- Drive Appian-based digital process automation aligned with banking compliance requirements.

7. ServiceNow (Good to Have)





- Provide architectural guidance on ServiceNow ITSM, ITOM, and workflow automation integrations.
- Design touchpoints between ServiceNow and broader automation ecosystems.

8. Integration & Enterprise Architecture

- Define enterprise integration patterns (event-driven, API-led, microservices, ESB).
- Architect solutions using MuleSoft, Kafka, REST/SOAP, GraphQL, and iPaaS platforms.
- Ensure alignment with TOGAF / Zachman frameworks and enterprise standards.
- Establish NFRs: scalability, performance, security, compliance, and resilience.

9. Data Architecture, data modelling and data products Skills & Qualifications

Mandatory Experience

- 15+ years of overall IT experience, with at least 8+ years in architecture roles.
- Strong banking and financial services domain expertise (retail banking, corporate banking, payments, lending, wealth management, or capital markets).
- Proven experience architecting agentic AI / autonomous AI solutions.
- Hands-on expertise with Maisa AI or equivalent agentic platforms.
- Deep architectural experience in Salesforce, UiPath, and Appian.
- Solid background in enterprise integration architecture.

Technical Competencies

- AI/ML: LLMs, RAG, agentic frameworks, prompt engineering, vector databases.
- Cloud: AWS / Azure / GCP — solution architecture and deployment.
- Integration: MuleSoft, Kafka, API Gateways, microservices, event-driven architecture.
- Security: OAuth2, OIDC, SAML, banking-grade security and compliance (PCI-DSS, SOC 2, GDPR).
- DevOps: CI/CD pipelines, containerization (Docker, Kubernetes), IaC (Terraform).

📌 Technical Architect (Bengaluru)
🏢 Genpact
📍 Bengaluru