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Lead large-scale, multi-team delivery programs from planning through execution. Manage governance, risks, dependencies, budgets, vendors, and cross-functional delivery teams while ensuring alignment with strategic goals. Serve as the primary partner to executive and C-suite stakeholders, providing status updates, roadmaps, and decision frameworks. The role requires extensive program management experience, strong senior-level communication skills, and knowledge of hybrid and Agile methodologies. Onsite presence is required two to three days weekly in the Northeast.

Administer, tune, secure, and support Adabas databases and Natural applications in mainframe environments. Responsibilities include installation, configuration, backup and recovery, performance monitoring, capacity planning, restructuring, upgrades, migrations, disaster recovery, incident resolution, documentation, and production support. The role collaborates with application, systems, and infrastructure teams and requires on-call support and travel or relocation across India as project needs dictate.

Designs end-to-end enterprise architectures integrating AI/ML, Generative AI, automation, cloud services, data platforms, and production engineering. Translates client requirements into secure, scalable solutions; leads architecture reviews, proofs of concept, technology evaluations, and technical proposals. Defines integration and data strategies, guides MLOps/LLMOps adoption, advises stakeholders, ensures compliance and performance, and mentors engineering teams. The role also supports client-facing consulting and pre-sales solutioning.

Manage and support SAP systems, including installation, configuration, maintenance, patching, upgrades, transport management, and troubleshooting. Advise clients on SAP system administration and resolve technical issues across SAP landscapes. The role also provides infrastructure technology support and requires collaboration with clients and cross-functional teams.

The Technical Architect will design and implement technical solutions, ensure systems meet business needs, and guide development teams on architecture and integration.

Provide technical and functional application support, manage incidents and releases, monitor application health and backups, deploy patches/updates, produce documentation and SOPs, collaborate with development and stakeholders, and contribute to continuous improvement and production dashboards.

Design, develop and maintain AAA portfolio management interfaces, core objects and integrations. Perform business analysis, write technical specifications, conduct technical testing, validate vendor work, support projects and operations, and propose system improvements.

Develop and maintain C#/.NET applications using microservices, WCF, Web API and Entity Framework. Work with messaging (WebSphere MQ, JMS), NoSQL (Cassandra), Kafka, CI/CD (Jenkins), and version control (Git/Bitbucket). Perform technical analysis, design n-tier applications, follow SOLID/design patterns, and participate in SDLC, process improvement, and recruitment.

The Senior AI / ML Ops Engineer will design and operate Agentic AI systems, implement MLOps practices, and ensure production automation is secure and reliable.

Lead the design and implementation of ETL processes, develop Python solutions, and create data visualizations, collaborating with cross-functional teams.