IAM Architect (AI Security & Identity)

Job Title : L2 Operations Lead – Identity & Access Management (IDAM)

Experience : 5+ Years

Location : Gurugram Sector 59, Haryana

Work Mode : Hybrid

Support Level : L2 Operations

Domain : Identity & Access Management (IDAM)

Job Summary :

We are looking for an experienced L2 Operations Lead – IDAM to manage and support enterprise Identity and Access Management services. The ideal candidate should have hands-on experience with Azure AD (Microsoft Entra ID), Active Directory, Okta, CyberArk, access provisioning, and ITSM processes.

The role involves handling L1 / L2 escalations, troubleshooting identity and access issues, supporting privileged access management, maintaining operational documentation, participating in incident reviews, and coordinating with L3 engineering and other infrastructure teams to ensure service stability and security.

Mandatory Skills : IDAM, IAM, L2 Operations, Azure AD, Microsoft Entra ID, Active Directory, Okta, CyberArk, PAM, SSO, MFA, Access Provisioning, PowerShell, ServiceNow, Incident Management, ITIL, Identity Governance.

Key Responsibilities :

• Provide L1 / L2 operational support for Identity and Access Management services in an enterprise environment.
• Manage end-to-end incident resolution, from L1 / L1.5 escalation through investigation, resolution, and closure.
• Administer user access provisioning, modification, de-provisioning, and application access requests.
• Troubleshoot Azure AD, Active Directory, Okta, SSO, MFA, authentication, authorization, and access-related issues.
• Support CyberArk operations, privileged access management (PAM), and access control processes.
• Investigate directory service misconfigurations, access failures, and identity-related connectivity or routing issues.
• Maintain accurate ServiceNow tickets with clear investigation details, resolution steps, and closure notes.
• Participate in Major Incident Management (MIM) calls and assess whether incidents meet major incident criteria.
• Support root cause analysis (RCA), problem management, and change management activities.
• Maintain and update standard operating procedures (SOPs), knowledge-base articles, and operational documentation.
• Perform or coordinate backup and restoration of IAM service configurations, as applicable.
• Prepare periodic and on-demand operational reports, analyze incident trends, and present service performance updates.
• Lead or facilitate monthly service review meetings and participate in weekly engineering calls.
• Coordinate with Hosting, Network Security, DLP, Malware Protection, and other infrastructure teams to resolve cross-functional issues.
• Coordinate with relevant vendors for break-fix support and replacement of applicable infrastructure components.
• Support access-request certification and validation activities as part of Tier 0 access operations.
• Identify opportunities to automate repetitive IAM operations using PowerShell and other supported tools.
• Follow security policies, access governance standards, and operational compliance requirements.

Required Technical Skills :

• Identity & Directory Services : Azure AD (Microsoft Entra ID), Active Directory.
• Identity and Access Management : User lifecycle management, access provisioning, de-provisioning, access reviews, and entitlement management.
• SSO & Authentication : Single Sign-On (SSO), Multi-Factor Authentication (MFA), authentication and authorization troubleshooting.
• Privileged Access Management : CyberArk administration and operational support.
• Identity Platform : Okta administration and troubleshooting.
• ITSM : ServiceNow incident, problem, and change management.
• Scripting : PowerShell for troubleshooting, administration, and operational automation.
• Documentation & Reporting : SOPs, knowledge-base management, incident reporting, and trend analysis.

Preferred Tools & Technologies :

• Semperis
• Veza – Identity Security Posture Management (ISPM) and entitlement management
• CrowdStrike
• Microsoft Defender

Experience Requirements :

• 5+ years of relevant experience in Identity & Access Management, identity operations, or directory services administration.
• Hands-on experience in L2 production support and incident management.
• Experience supporting enterprise IAM environments with Azure AD, Active Directory, Okta, and / or CyberArk.
• Understanding of 24x7 operational support, escalation management, and service restoration processes.
• Experience working with ITIL-based incident, problem, and change management processes.
• Ability to coordinate with L3 engineering teams, security teams, infrastructure teams, and external vendors.
• Strong analytical, troubleshooting, documentation, and communication skills.
• Good verbal and written English communication skills.

Preferred Certifications :

• Microsoft Certified: Identity and Access Administrator Associate (SC-300)
• Okta Certified Professional
• CyberArk Defender
• Agile Practitioner Certification

Ideal Candidate Profile :

The ideal candidate is a hands-on IAM operations professional with strong troubleshooting skills, experience handling L2 escalations, and the ability to coordinate operational activities across multiple teams. Candidates with practical experience in directory services, SSO/MFA, privileged access management, access lifecycle operations, and ServiceNow are preferred.

About the Role

We are looking for a Solution Architect with 10–15 years of experience to design scalable, secure, and cloud-ready solutions. The role involves working with customers, Senior Solution Architects, business analysts, project managers, and engineering teams across cloud, modernization, microservices, integration, and digital transformation initiatives.

Must Have Skills

• 10–15 years of experience in software development, architecture, and enterprise application delivery.
• Strong experience with Azure and/or AWS and cloud-native architecture.
• Hands-on experience with Microservices, REST APIs, SOA, and system integration.
• Experience in application modernization and cloud migration.
• Knowledge of Docker, Kubernetes, CI/CD, and Infrastructure as Code.
• Understanding of cloud security, IAM, networking, monitoring, and disaster recovery.
• Ability to create architecture diagrams, solution designs, and technical documentation.
• Strong analytical, communication, and customer-facing skills.

Good To Have Skills

• AWS/Azure certifications.
• Experience with Serverless, Event-Driven Architecture, Messaging, and API Management.
• Exposure to SaaS / Multi-Tenant Architecture.
• Knowledge of Generative AI and AI-enabled solutions.
• Experience with pre-sales, POCs, estimations, and technical proposals.
• Exposure to application security and compliance.
• Experience working with global customers and distributed teams.

Responsibilities

• Design end-to-end solutions and independently own defined architecture workstreams.
• Translate business and technical requirements into application, cloud, integration, and deployment designs.
• Define microservice, API, integration, and data-flow architectures.
• Guide engineering teams on architecture implementation and conduct design/code reviews.
• Contribute to cloud migration, modernization, and digital transformation initiatives.
• Participate in customer workshops, technical discussions, POCs, and solution demonstrations.
• Identify and address architectural, performance, security, and technical risks.
• Ensure solutions follow defined architecture, security, and engineering standards.
• Work closely with the Senior Solution Architect on complex and strategic engagements.
• Develop reusable architecture patterns, templates, and technical accelerators

Next

Key Responsibilities

·       System Design: Design secure, scalable, and highly available multi-tenant cloud-based application architectures.

·       Integration Strategy: Build robust APIs, webhooks, and data pipelines for complex enterprise client connections.

·       Technical Guidance: Mentor software engineers and lead critical code and architecture reviews to ensure engineering excellence.

·       Performance & Security: Drive non-functional infrastructure needs including high uptime, strict data privacy compliance, and fast application response times.

·       Cross-Functional Collaboration: Partner closely with Product, Security, and Customer Success teams to align technical execution with business roadmaps.

Required Qualifications

·       Experience: 8+ years of experience in software engineering with at least 3+ years operating as a technical or solutions architect within a B2B SaaS environment.

·       Cloud & DevOps: Deep production knowledge of major cloud infrastructure (AWS, GCP, or Azure), containerization technologies (Docker, Kubernetes), and modern CI/CD automation pipelines.

·       Architecture Patterns: Proven expertise designing microservices, event-driven architectures, and high-performance relational and NoSQL database structures.

·       Communication: Strong written and verbal communication skills, with a proven ability to translate complex technical concepts clearly to both engineers and business stakeholders.

·       Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical work experience).

Preferred Skills

·        Prior experience managing architectural frameworks for enterprise compliance frameworks like SOC2, ISO 27001, or GDPR.

·        Background in building real-time data processing engines, stream frameworks, or integrating enterprise AI/ML components.

Pncpl Software Engineer

Position Responsibilities :

• Lead the architecture and development of AI-powered, distributed systems that meet enterprise-grade performance and security standards.
• Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality.
• Design, build, and maintain services using Java following clean-code and secure design principles.
• Develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements.
• Collaborate with cross-functional teams to define modular, scalable, and compliant architecture patterns.
• Conduct technical design reviews and produce detailed documentation, including system specifications, API docs, and architecture diagrams.
• Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards are met.
• Implement robust monitoring and performance engineering practices to maintain high-quality deployments.
• Continuously evaluate emerging AI technologies and integrate them into development workflows for maximum impact.
• Champion best practices in security, automation, and performance optimization across the organization.

Qualifications :

• 6+ years in software engineering with backend development in Java.
• 3+ years with AI tools for development, prototyping, or documentation tasks.
• Experience with cloud-native development and containerized deployment (Docker, Kubernetes).
• Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines.
• Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models.
• Comfortable with Gen AI-first environments and working with remote Agile teams.

Preferred Qualifications

• Experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks.
• Experience working in a fast-paced, AIDLC environment, with a strong understanding of CI/CD practices.
• Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools.
• Containerization and Orchestration: Proficiency in Docker and Kubernetes for containerization and orchestration.
• Cloud Platforms: Experience with cloud computing platforms such as AWS, Azure, or OCI Cloud.

Must Have:

 Strong expertise in AEM (Adobe Experience Manager) 6.x or AEM as a Cloud Service

 Hands-on experience with AEM Sites, Assets, Templates, Components, Workflows

 Proficiency in Java, Sling, OSGi, JCR, Apache Felix

 Experience with AEM Dispatcher setup and caching strategies

 Design and implementation of scalable, secure AEM architectures

 Integration with third-party systems (e.g., REST/SOAP APIs, CRM, DAM, Analytics)

 Experience in designing and building custom AEM components and services

 Understanding of CI/CD processes and tools (e.g., Jenkins, Git, Adobe Cloud Manager)

Good to have:

 Familiarity with Adobe Experience Platform (AEP), Adobe Target, Adobe Analytics

 Knowledge of Personalization, SEO best practices, and Web Accessibility (WCAG)

 Experience with Single Sign-On (SSO), SAML, OAuth, Adobe IMS

 Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and containerization

(Docker/Kubernetes)

 Exposure to front-end frameworks (React, Angular, Vue)

Roles & Responsibilities:

 Design scalable, secure, and high-performance AEM architectures (Sites, Assets, Forms, etc.)

 Define content modeling, component architecture, workflows, templates, and metadata

structures.

 Provide guidance on AEM as a Cloud Service, on-premises, or hybrid models.

 Lead architectural decisions, including dispatcher configurations, CDN integration, and

caching strategies.

 Architect integrations with third-party services (CRMs, eCommerce platforms, analytics tools,

etc.)

 Design and oversee development of custom components, servlets, OSGi services, workflows,

and Sling models.

 Work on headless CMS architecture using AEM's GraphQL and Content Fragments.

 Lead a team of developers and QA

 Provide code reviews, mentor junior team members, and conduct technical training sessions.

 Resolve technical blockers and make architectural trade-offs.

 Present architectural decisions and conduct technical workshops or demos.

 Define and manage AEM DevOps pipelines using tools like Jenkins, Git, Adobe Cloud

Manager, etc.

 Enforce code quality, performance testing, and deployment standards.

Eligibility:

 Exp – 12+ Years

 Prior experience of working and collaborating with international clients will be preferred.

 Bachelor’s degree in computer science, Engineering, or related field.

Position Summary

We are looking for an experienced Enterprise Architect to define and deliver enterprise-scale digital experience architectures leveraging AI/ML capabilities, data platforms, and modern cloud technologies. The role involves partnering with senior business and technology stakeholders to translate business objectives into scalable architectures, strategic roadmaps, and technology solutions.

The ideal candidate will have strong expertise in enterprise architecture, cloud-native technologies, AI-driven customer experiences, and digital marketing platforms, along with the ability to lead architecture initiatives across cross-functional teams.

Key Responsibilities

• Enterprise Strategy & Roadmaps: Define digital, data, and AI strategies, translating business vision into actionable architecture roadmaps aligned with business goals and KPIs.
• Architecture Design: Design end-to-end enterprise and solution architectures integrating digital experience platforms, customer data platforms, AI/ML capabilities, and cloud services.
• Cloud & Technology Architecture: Recommend scalable, secure, and resilient architectures using cloud-native, API-first, microservices, event-driven, and serverless principles across Azure, AWS, or other public cloud platforms.
• AI & Data Architecture: Define architectures for customer data platforms, identity and profile management, data ingestion, governance, personalization, journey orchestration, and AI-powered experiences.
• Architecture Governance: Establish architecture standards, reference architectures, governance frameworks, and operating models to ensure consistency, security, and sustainable technology adoption.
• Stakeholder Management: Collaborate with business leaders, engineering teams, data architects, developers, and data scientists to drive architecture alignment and execution.
• Executive Communication: Lead architecture workshops, visioning sessions, and roadmap presentations, communicating technical recommendations and trade-offs to senior leadership.
• Practice Development: Contribute to reusable architecture assets, mentor architects and consultants, and support presales activities, solutioning, estimations, and proposals.

Required Skills & Experience

• Proven experience in enterprise architecture, solution architecture, and developing enterprise architecture models and roadmaps.
• Strong understanding of architecture frameworks and principles, including TOGAF, SOA, and API-led architecture.
• Hands-on experience with public cloud architecture and services, particularly Microsoft Azure and/or AWS.
• Experience designing and integrating AI-powered solutions, with knowledge of LLMs, prompt engineering, RAG, and model evaluation.
• Understanding of agentic workflows, tool-using agents, and enterprise AI governance, observability, and reliability.
• Experience working with software engineers, application developers, data architects, and data science/ML teams to deliver end-to-end solutions.
• Ability to translate business requirements and strategic vision into technical architectures and implementation roadmaps.
• Strong stakeholder management, leadership, presentation, and communication skills, including experience engaging with senior executives.
• Ability to lead architecture execution across multidisciplinary teams and communicate complex technical concepts to diverse audiences.

Good to Have

• Experience with Adobe Experience Cloud, Adobe Experience Platform, or one or more digital experience solutions.
• Previous experience with other digital marketing and customer experience platforms.
• Experience with customer data platforms, personalization, omnichannel engagement, and marketing optimization initiatives.
• Experience supporting consulting engagements, presales, and enterprise transformation initiatives.

Additional Requirement

- Willingness to travel up to 50%, depending on business and client requirements.

Position

Solution Architect/Technical Architect

Experience

·       12 - 16+ years of overall IT experience

·       Significant hands-on experience working as a Solution/Technical Architect

Education

·       B.Tech / M.Tech / MCA / MBA or equivalent

Certifications

·       TOGAF® certification (Level 1/2) preferred to ensure alignment with enterprise architecture standards

·       Microsoft Certified: Azure Solutions Architect Expert (AZ-305) and other supporting certifications such as AZ-104, AZ-400, or AZ-500 preferred.

Key Responsibilities

·       Define and evolve the target architecture for .NET-based distributed platform.

·       Architect highly configurable solutions on Azure with strong focus on scalability, tenant isolation, resilience, maintainability, and speed of delivery.

·       Lead solution design across ASP.NET Core services, REST APIs, event-driven workflows, background processing, integration patterns, and shared platform capabilities.

·       Drive adoption of modern .NET and cloud-native patterns including microservices, domain-driven design, event-driven architecture, API-first design, and secure service-to-service communication.

·       Partner with engineering teams on real implementation decisions, review critical designs and code paths, and provide hands-on guidance for performance, operability, and production readiness.

·       Architect Azure-native deployment patterns using AKS, containers, API Management, Service Bus/Event Grid or equivalent messaging, Key Vault, managed observability, and CI/CD automation.

·       Work with data and platform teams on PostgreSQL-backed service design, data access patterns, caching strategies, and database performance for high-volume transactional workloads.

·       Define non-functional requirements and architecture guardrails around performance, scalability, availability, recoverability, security, compliance, and cost efficiency.

·       Embed DevSecOps and observability into platform design through telemetry, tracing, alerting, diagnostics, secrets management, and release governance.

·       Evaluate emerging technologies, AI-assisted engineering enablers, and modernization options pragmatically, with clear build-vs-buy and risk-reward trade-offs.

·       Mentor senior engineers and technical leads, contribute to architectural governance, and create reusable patterns, reference implementations, and standards across teams.

·       Bachelor’s or master’s degree in computer science, Engineering, or a related field.

·       12–16 years of experience in software engineering, solution architecture, or platform engineering, with significant experience in Microsoft technology stacks.

Essential Qualification and Skills

·       Strong hands-on expertise in C#, .NET / .NET Core / .NET 8, ASP.NET Core, Web APIs, background services, and enterprise application design.

·       Deep experience in architecting distributed systems using microservices, asynchronous messaging, event-driven design, and API-led integration patterns.

·       Strong Azure architecture experience, preferably across AKS, App Services, Functions, API Management, Key Vault, Service Bus, Event Grid, Storage, monitoring, and identity integration patterns.

·       Experience designing and supporting platforms, configurable product architectures, and integration-heavy enterprise solutions.

·       Strong understanding of relational databases and performance engineering, especially SQL Server and/or PostgreSQL, including schema design, indexing, query tuning, and transaction handling.

·       Solid grasp of non-functional architecture including performance, scalability, availability, fault isolation, observability, and disaster recovery.

·       Strong understanding of application and platform security including authentication, authorization, secrets management, encryption, secure coding, and compliance-oriented design.

·       Experience with containers, Kubernetes, CI/CD, infrastructure automation, and modern DevSecOps practices.

·       Ability to make sound architecture decisions with a balance of pragmatism, delivery speed, engineering quality, and long-term maintainability.

·       Strong communication and stakeholder management skills across product, engineering, architecture, operations, security, and client-facing teams.

Skills & Competencies

·       Experience in insurance, Insurtech, BFSI, or other regulated, transaction-heavy domains.

·       Exposure to policy administration, billing, accounting, claims, workflow orchestration, or reporting platforms within the insurance value chain.

·       Experience with architecture frameworks and modelling approaches such as TOGAF, domain-driven design, UML, C4, or equivalent practical architecture methods.

·       Familiarity with mixed technology landscapes involving .NET, Java/Spring Boot, enterprise workflow tools, and integration ecosystems.

·       Experience with observability and reliability tooling such as Datadog, Dynatrace, Application Insights, Open Telemetry, Grafana, or similar.

·       Working knowledge of Angular, React, or modern web application architecture patterns.

·       Exposure to AI-enabled engineering, intelligent automation, or embedding AI capabilities into enterprise platforms.

·       Leadership experience across globally distributed or virtual teams.

LEAD DATA SECURITY SOLUTION ENGINEER

Experience: 10+ Years

Location: Remote

Employment Type: Full-Time

Budget: Up to ₹35 LPA

Time Zone: US Eastern Time (ET)

Shift: US ET Night Shift

Job Description

We are looking for an experienced Lead Data Security Solution Engineer with strong expertise in database security, IAM, authentication, authorization, and enterprise data architecture.

The candidate will be responsible for assessing existing database environments, designing secure data access architectures, implementing fine-grained authorization controls, and ensuring licensed data is protected throughout its lifecycle.

The role involves working closely with database, IAM, security, infrastructure, application, data platform, and governance teams.

Key Responsibilities

1. Technical and Database Assessment

• Assess database platforms, schemas, data flows, data lineage, connectivity, and downstream dependencies.
• Review where licensed data is stored, transformed, replicated, extracted, cached, archived, and backed up.
• Evaluate existing database security capabilities and identify gaps, risks, and technical constraints.

2. Authentication and Identity Integration

• Design secure authentication for users, applications, service identities, and workloads.
• Implement or evaluate OAuth 2.0, OIDC, token-based authentication, and enterprise IAM integration.
• Integrate enterprise identities, security groups, database roles, and policy engines.
• Reduce dependency on shared and long-lived credentials.

3. Fine-Grained Authorization and Data Security

• Design and implement database-level access controls.
• Implement Row-Level Security (RLS), Column-Level Security (CLS), dynamic data masking, and policy-based filtering.
• Design secure isolation patterns for licensed datasets.
• Ensure security policies are enforced at the database layer.

4. Auditing, Monitoring, and Traceability

• Design database auditing and activity monitoring.
• Track user access, queries, exports, permission changes, and privileged activities.
• Integrate audit logs with centralized monitoring and reporting systems.
• Define audit retention and investigation requirements.

5. Data Lifecycle and Deletion

• Design access revocation mechanisms for users, projects, and expired licensing agreements.
• Define secure data deletion processes across databases, backups, archives, caches, and downstream systems.
• Ensure deletion activities are validated and supported by audit evidence.

6. Solution Architecture and Engineering

• Develop current-state and target-state security architectures.
• Prepare technical specifications, implementation plans, and reusable security patterns.
• Evaluate solution options based on security, scalability, performance, feasibility, and cost.
• Collaborate with cross-functional technical and business teams.

7. POC Design and Execution

• Design and execute Proof of Concepts (POCs) for database security scenarios.
• Validate authentication, authorization, data isolation, auditing, access revocation, and deletion.
• Document test results, technical limitations, recommendations, and implementation approaches.

Required Technical Skills

• 10+ years of experience in database engineering, data security, solution architecture, or related fields.
• Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, and privileges.
• Experience implementing Row-Level Security (RLS), Column-Level Security (CLS), dynamic masking, and fine-grained authorization.
• Strong understanding of IAM, OAuth 2.0, OIDC, token-based authentication, service identities, and workload identities.
• Experience with secrets management and secure database connectivity.
• Knowledge of database auditing, query monitoring, centralized logging, alerting, and security investigations.
• Experience securing integrations involving applications, APIs, analytical tools, and ETL/ELT pipelines.
• Understanding of data lineage, retention, lifecycle management, revocation, deletion, backup, and recovery.
• Ability to assess heterogeneous database platforms and recommend suitable security architectures.
• Strong architecture, troubleshooting, documentation, and stakeholder-management skills.

Nice to Have

• Experience with enterprise data platforms and cloud or hybrid database environments.
• Knowledge of data catalogs, access governance, and policy-enforcement technologies.
• Experience in pharmaceutical research, healthcare, scientific data, or intellectual property protection.
• Exposure to data licensing, contractual-use restrictions, and regulated environments.
• Experience designing and executing security POCs and implementing production-ready solutions.

Expected Deliverables

• Database security and capability assessment.
• Current-state and target-state security architecture.
• Database authentication and IAM integration design.
• Fine-grained authorization and data-masking design.
• Data firewalling and licensed-dataset isolation patterns.
• Audit, monitoring, and traceability framework.
• Data revocation, retention, and deletion strategy.
• Technical feasibility, gap, dependency, and risk assessments.
• POC implementation, test results, and recommendations.
• Reusable technical documentation and operational handover.

Work Requirements

• Fully remote opportunity.
• Full-time employment.
• Must be comfortable working in the US Eastern Time (ET) night shift.
• Budget: Up to ₹35 LPA.

AI Solution Architect

Experience: 12+ Years

Location: Coimbatore / Hybrid

Joining: Immediate / Within 30 Days

Primary Skills: Enterprise Architecture, Python, REST APIs, Microservices, Distributed Systems, Cloud (AWS/Azure/GCP), CI/CD, Docker, Kubernetes, Enterprise Data Architecture, Integration Patterns.

Preferred Skills: LLM Integrations, RAG Pipelines, AI Agents, Agentic Workflows, MCP (Model Context Protocol), Vector Databases, Prompt Engineering, LangChain/LlamaIndex, LLMOps, Multi-Agent Orchestration.

About the Role

At Techjays, we're helping companies reimagine how they build, operate, and scale with AI at the core. We focus on building secure, scalable, production-grade AI systems that solve real business problems and deliver measurable outcomes.

We're looking for an AI Solution Architect who can own enterprise-level solution architecture end-to-end. The ideal candidate combines deep technical expertise with the ability to understand complex business challenges, engage with prospective clients, and design compelling, scalable, AI-native solutions.

This is a senior technical role at the intersection of enterprise architecture, pre-sales, solutioning, and delivery governance. You'll collaborate with leadership, engineering teams, and clients to architect solutions spanning AI integrations, RAG pipelines, agentic workflows, cloud infrastructure, and enterprise platforms.

This role requires a strong technical background and current hands-on expertise. Candidates with purely pre-sales experience or non-technical solutioning backgrounds will not be a fit.

Key Responsibilities

• Own end-to-end enterprise architecture for AI-native platforms, defining high-level and low-level designs across backend systems, data platforms, and AI components.
• Lead solutioning for complex enterprise engagements, translating client requirements into technically sound, secure, scalable, and commercially viable architectures.
• Define reference architectures and design standards for LLM integrations, RAG pipelines, agentic workflows, MCP-based integrations, and enterprise data platforms.
• Partner with pre-sales and business development teams to prepare RFP responses, technical proposals, solution presentations, and architecture documents.
• Lead client discovery sessions and technical presentations, communicating architectural decisions and trade-offs to technical and executive stakeholders.
• Conduct architecture reviews and technical assessments to ensure scalability

Location: Bangalore (Hybrid)

Experience: 10–15 Years

About the Role

At Twenty20 Systems, we are looking for a Solution Architect – Integration (Pre-Sales & Delivery) who can bridge the gap between business, technology, and client success.

This role is ideal for someone who combines strong integration architecture expertise with client-facing consulting, solutioning, and delivery leadership. You will play a key role in shaping client solutions, driving technical discussions, building scalable architectures, and ensuring successful delivery of enterprise integration programs.

This is a role for someone who enjoys owning the solution end-to-end — from pre-sales conversations to delivery execution.

What You’ll Do

• Lead solution architecture and technical consulting for enterprise integration opportunities.
• Work closely with sales, customers, and internal teams to understand requirements and design scalable integration solutions.
• Drive pre-sales activities including solutioning, technical proposals, architecture diagrams, effort estimation, and client presentations.
• Design and review API-led, event-driven, and iPaaS-based integration architectures across enterprise applications.
• Support delivery teams in ensuring architecture alignment, best practices, and successful implementation.
• Provide technical leadership across integration design, troubleshooting, governance, and production support.
• Partner with clients and internal stakeholders to solve business challenges through integration-led digital transformation.
• ​Mentor engineering teams and contribute to reusable frameworks, accelerators, and delivery playbooks.

What Your First 3 Months Will Look Like

• Understand our product, integration ecosystem, and customer requirements.
• Start leading client solution discussions and pre-sales technical conversations.
• Support ongoing delivery programs with architecture guidance and solution oversight.
• Build strong alignment across sales, product, engineering, and customer teams.

Where You’ll Be in 6 Months

• Leading end-to-end integration solutioning for key customer opportunities.
• Acting as a trusted technical advisor during both pre-sales and delivery stages.
• Driving architecture best practices and reusable integration frameworks.
• Contributing to business growth by enabling stronger technical solutioning and client confidence.