Technical architect

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 , Ui Path , 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

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. 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. Maisa AI (or Equivalent) Architecture Lead the architecture and design of solutions on Maisa AI or equivalent agentic platforms (e.g., Lang Graph, Crew AI, Auto Gen, Microsoft Copilot Studio). Design Knowledge Processing Units (KPUs) and deterministic agentic workflows. Establish integration patterns between agentic platforms and core banking systems. Salesforce Architecture Architect Salesforce Financial Services Cloud , Sales Cloud, Service Cloud, and Marketing Cloud solutions. Design Salesforce data models , integration patterns (Mule Soft, APIs), security models, and governance frameworks. Lead Einstein AI / Agentforce integrations within enterprise ecosystems. Ui Path Architecture Design enterprise-grade RPA and intelligent automation solutions on Ui Path. Architect Ui Path Orchestrator , AI Center, Document Understanding, and Action Center deployments. Define automation governance, Co E operating models, and scaling strategies. 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. Service Now (Good to Have) Provide architectural guidance on Service Now ITSM, ITOM, and workflow automation integrations. Design touchpoints between Service Now and broader automation ecosystems. Integration & Enterprise Architecture Define enterprise integration patterns (event-driven, API-led, microservices, ESB). Architect solutions using Mule Soft, Kafka, REST/SOAP, Graph QL , and i Paa S platforms. Ensure alignment with TOGAF / Zachman frameworks and enterprise standards. Establish NFRs: scalability, performance, security, compliance, and resilience. 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, Ui Path, 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: Mule Soft, Kafka, API Gateways, microservices, event-driven architecture.
Security: OAuth2, OIDC, SAML, banking-grade security and compliance (PCI-DSS, SOC 2, GDPR).
Dev Ops: CI/CD pipelines, containerization (Docker, Kubernetes), Ia C (Terraform).