Top Tech Jobs & Startup Jobs in Chennai

Investigate and analyze account takeover threats, cybersecurity incidents, suspected fraud, and emerging risks across Verizon’s consumer business. Responsibilities include threat triage, detection, mitigation, root-cause analysis, post-mortems, control implementation, confidential investigations, data analysis, and coordination with legal, HR, corporate security, and law enforcement stakeholders. The role also provides guidance to cybersecurity team members and communicates risk concepts to technical and nontechnical audiences.

Investigates and responds to cybersecurity incidents, triages and prioritizes security events, coordinates remediation, and serves as incident commander for low- to moderate-complexity incidents. The role supports high-priority investigations, maintains compliance and executive reporting records, drafts customer and stakeholder communications, improves incident response processes, and develops technical documentation and runbooks.

Assess customer cardholder-data systems against security and compliance standards, identify vulnerabilities, recommend security improvements, and manage customer engagements. The role requires information security consulting experience, hands-on security technology expertise, PCI compliance knowledge, and travel up to 75%.

Develops advanced automation scripts and AI engineering solutions using Python and related languages. Integrates generative AI APIs, prompt chains, RAG architectures, and model evaluation into scalable applications and CI/CD pipelines. Builds microservices, APIs, monitoring dashboards, and intelligent process automation while collaborating with engineering, data science, and security teams. The role also emphasizes code quality, testing, responsible AI practices, and production performance optimization.

Manage enterprise vulnerability scanning across networks, cloud environments, and applications. Assess and prioritize vulnerabilities using CVSS, threat intelligence, asset criticality, and business impact; coordinate remediation with IT, engineering, and cloud teams; automate workflows; produce risk and SLA reports; and monitor emerging exploits and mitigation strategies.

Manage the end-to-end software publisher lifecycle in Flexera One, including onboarding, contract and entitlement interpretation, license position reporting, compliance monitoring, inventory normalization, platform health, integrations, and cost optimization. Reconcile installations and usage with entitlements, identify shelfware and unmanaged software, support ServiceNow and discovery integrations, and present executive reporting on compliance risk and savings.

Leads software asset management strategy and hands-on Flexera implementation for major publishers. Responsibilities include license configuration, compliance monitoring, cost optimization, vendor-audit defense, data normalization, integrations with ServiceNow and cloud platforms, analyst mentoring, and executive reporting on compliance risk and savings.

Leads technology strategy and planning programs focused on generative AI and enterprise architecture. Develops technology roadmaps, scalable LLM and NLP solutions, Agentic and non-Agentic AI applications, data pipelines, and LLMOps capabilities. Partners with architects, business stakeholders, vendors, and senior leadership to prioritize products, evaluate emerging technologies, design solutions, and deliver engineering excellence initiatives. Applies advanced RAG, RLHF, prompt management, validation, and automation to transform unstructured data into business value.

Leads the architecture, development, and deployment of large-scale AI/ML, generative AI, and agentic systems. Responsibilities include designing end-to-end ML pipelines, fine-tuning and evaluating LLMs, mentoring data science and engineering teams, establishing secure and ethical AI practices, and providing technical thought leadership. The role also covers model monitoring, MLOps, distributed infrastructure, conversational data analysis, cross-functional collaboration, and adoption of emerging AI technologies.

Develops agentic AI solutions, statistical models, optimization methods, dashboards, and actionable analytics for supply chain and operations. Builds and validates models using large-scale data, integrates LLM APIs and agentic frameworks, ensures data quality, and translates business problems into analytical solutions. Partners with data scientists, engineers, and stakeholders to deliver production-grade AI products and communicate business implications.