Top Tech Jobs & Startup Jobs

Lead IBM FileNet and Business Automation Workflow architecture engagements, including platform assessments, upgrades, solution blueprints, and integration planning. Design secure content, workflow, and object-store architectures across enterprise environments. Facilitate stakeholder workshops, develop estimates and implementation plans, and advise on hybrid or cloud migration strategies. The role requires deep expertise in FileNet, BAW, WebSphere, Linux, databases, LDAP, and enterprise architecture, with experience in regulated environments preferred.

Lead end-to-end release planning, governance, coordination, and production deployment for enterprise applications and platforms. Manage release calendars, dependencies, approvals, testing, deployment readiness, change management, rollback planning, stakeholder communications, and release metrics. Partner with engineering, DevOps, infrastructure, security, architecture, support, and business teams to improve CI/CD automation, deployment reliability, operational readiness, and continuous delivery practices across complex environments.

Lead end-to-end delivery of AI, generative AI, machine learning, automation, and data-driven technology initiatives. Coordinate clients, stakeholders, architects, engineers, and cross-functional teams; manage scope, timelines, budgets, risks, governance, and business outcomes. Support AI lifecycle activities from discovery through deployment and operationalization while ensuring responsible AI, privacy, security, and regulatory compliance. Drive Agile delivery practices, production transitions, stakeholder communications, and value realization across complex enterprise projects.

Leads enterprise AI architecture initiatives involving Generative AI, LLMs, RAG, AI agents, multi-agent systems, and Azure AI platforms. Defines architecture strategies, roadmaps, governance frameworks, and implementation standards. Guides engineering teams on scalable, secure, cloud-native solutions, MLOps, observability, security, and Responsible AI. Translates business needs into solution architectures, evaluates technologies, leads architecture reviews, manages stakeholder discussions, and mentors architects and engineers.

Lead enterprise AI architecture initiatives involving Generative AI, LLMs, RAG, AI agents, multi-agent systems, and cloud-native AI platforms. Define technology roadmaps, governance frameworks, architectural standards, and secure Azure-based solutions. Guide engineering teams, evaluate technologies, review designs and MLOps practices, manage technical risks, and promote Responsible AI. Collaborate with business, security, DevOps, and technology stakeholders while mentoring architects and engineers.

Leads end-to-end delivery of AI, Generative AI, machine learning, automation, and data-driven technology projects. Coordinates clients, stakeholders, architects, engineers, vendors, and cross-functional teams; manages scope, schedules, budgets, risks, governance, and business outcomes. Supports AI lifecycle activities from discovery and data readiness through deployment, monitoring, and operational transition. Promotes Agile and DevOps practices while ensuring responsible AI, privacy, security, compliance, and regulatory requirements are addressed.

Designs, develops, configures, tests, and deploys Salesforce solutions using Apex, Lightning Web Components, Flow, integrations, and platform configuration. Responsibilities include REST API development, data modeling, security, validation, automated releases, defect resolution, technical documentation, and stakeholder communication. Experience with Salesforce DevOps tools such as Copado and regulated industries is valued.

Design, develop, and maintain scalable .NET applications using microservices architecture. Build RESTful APIs, integrate enterprise systems, and create cloud-native solutions on AWS or Azure. Work with Docker, Kubernetes, databases, CI/CD pipelines, and DevOps practices while ensuring performance, security, scalability, and maintainability. Collaborate with cross-functional teams, participate in technical design and code reviews, and mentor junior developers.

Develop Java-based microservices using Quarkus and hexagonal architecture. Build REST APIs, apply Spring Boot, Maven, Git, and CI/CD practices, and work with SQL/NoSQL databases and cloud technologies. Collaborate in an agile environment, solve complex technical problems, and potentially use AI-assisted development tools such as GitHub Copilot or Microsoft Copilot. This is an onsite role based in Pune or Chennai.

Lead the target-state architecture and roadmap for an enterprise GenAI platform supporting finance, treasury, risk, and CFO use cases. Design secure, scalable AI, LLM, RAG, agentic, data, and cloud-native solutions; govern technology standards; and guide platform modernization. Architect integrations, knowledge bases, vector storage, OpenShift deployments, CI/CD, security, compliance, observability, disaster recovery, and model governance. Provide technical leadership, mentor engineering teams, and partner with business, risk, audit, and compliance stakeholders.