Technical Architect

Genpact · India

• 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 .
• Strong 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).