• Own the design and evolution of core capabilities within our internal AI agent platform to support high-impact business workflows and AI agents. • Define and improve deployment patterns, shared services, and orchestration approaches that enable complex agent use cases to run reliably. • Partner with business stakeholders to translate high-priority strategic goals into scalable AI agent solutions. • Work hands-on with builders to debug issues, answer technical questions, and unblock day-to-day development while also improving the underlying platform. • Investigate failing repositories, run code locally when needed, and fix infrastructure or environment issues at the root cause. • Build and maintain shared services—such as reusable modules, integration layers, logging patterns, and data access approaches—that multiple teams can leverage. • Drive decisions around observability, governance, permissions, reliability, and cost-aware usage to ensure our AI transformation is sustainable and secure. • Help set technical direction for how new capabilities should be designed so we create durable foundations rather than one-off solutions. • Collaborate across engineering and business functions to identify and shape new high-value opportunities for agent-led innovation.

• Lead and evangelize on best practices of capturing and retaining data • Create and leverage models, inferential statistics and prescriptive analysis to proactively solve business problems answering the questions “What will happen and what should we do about it?” • Often responsible for large, complex problems that have broad implications and are less frequent • Recommend solutions based on understanding of the context, connections, and conclusions • Reviews deliverables; proactively coaches others on approach and work product • Coordinate with data stewards and anticipate needs process/procedures • Make continuous improvements to data procedures, including data efficiency • Recommend best analysis method for the situation

Role Description TDMS is a post-trade reconciliation and settlement platform used by institutional asset managers, entering a significant modernization. This role leads the engineering of it: an AI-first effort to re-architect how the platform is built, deployed, and scaled, on a system that real money settles through every day. Settlement accuracy is the product, and a single mis-settled trade is a client-loss event, so the engineering judgment we expect here is high. This is a build-heavy, high-ownership role at the technical center of the platform. You will own: - Cloud architecture - Delivery automation - Engineering standards - Technical execution of the modernization You will work agentic-coding-first from day one, using agentic tools to deliver well beyond traditional hand-coding throughput. The role carries both sides of the work: - Keep the current application healthy in hands-on, day-to-day operations. - Apply modern engineering steadily as the migration runs over the coming months. You report to the Chief Product and Technology Officer and partner closely with the Head of Development, working with a small, distributed team of engineers across India and the US. Qualifications - Typically ten or more years building and operating production software. - Fluent in reading C# / .NET and can review, validate, and reason about it. - Track record architecting and scaling complex production systems. - Hands-on experience designing microservices and building and deploying containers. - Strong distributed-systems fundamentals. - Strong hands-on AWS and/or Azure experience. - Experience building CI/CD pipelines from scratch. - Relational database depth and hands-on data migration experience. - Performance mindset and excellent troubleshooting skills. - Deep, hands-on fluency with agentic tools. - Git and modern branching practice experience. - Comfort owning quality on a system that cannot fail quietly. Requirements - Experience in financial services or another regulated, high-stakes domain is a plus. - React with TypeScript on the front end is a plus. - Workflow-engine experience (Temporal or similar) is a plus. - Building software under SOC 2 or comparable regulated-environment controls is a plus. - Exposure to vector databases and graph databases is a plus. Benefits - Real ownership on a small team. - Lead an AI-first modernization of a mission-critical platform. - Remote work opportunity, anywhere in India. Company Description TechGrove is the Centre of Excellence for Banyan Software, based in Chennai, India. It plays a key role in supporting Banyan’s global businesses through technology, security, and software development. TechGrove brings together India’s deep pool of technical talent with Banyan’s long-term approach to growth, creating a trusted, developer-focused environment where people can do their best work.

Role Description En Coforge estamos buscando un Mid AI Engineer (#21869) con el siguiente perfil. - Liderar el diseño end-to-end, desarrollo y optimización de agentes de IA, prompts y flujos conversacionales sobre Copilot 365, Copilot Studio y Azure AI Foundry. - Definir estándares, frameworks de prompting, evaluación y guardrails alineados a políticas de gobernanza, seguridad y compliance. - Orquestar la interacción entre modelos LLM y herramientas de integración en arquitecturas event-driven. - Asegurar la escalabilidad, performance, resiliencia y optimización de costo de las soluciones de IA. - Diseñar estrategias de seguridad, auditoría, control de acceso y trazabilidad (PII, RBAC, data boundaries). - Liderar la medición de impacto, adopción y madurez de soluciones de IA en producción. - Coordinar con áreas de arquitectura, seguridad, infraestructura y equipos técnicos para asegurar alineamiento end-to-end. Qualifications - +5 años de experiencia en soluciones de IA, automatización o bots y +3 años en entornos enterprise. - Experiencia en Copilot 365, Copilot Studio y GitHub Copilot. - Experiencia con Azure AI Foundry y RAG. - Conocimiento de APIs REST y arquitecturas event-driven. - Experiencia con Azure Functions o Logic Apps (deseable). - Conocimiento de Python o JavaScript (deseable). - Experiencia en diseño de arquitecturas de agentes autónomos y event-driven. - Conocimiento en MLOps o IA Ops y gobierno de modelos. - Experiencia en seguridad avanzada, compliance y gobernanza de datos. Requirements - Experiencia en frameworks de agentes (MAF u otros similares). - Experiencia en escalamiento de soluciones de IA a producción. - Experiencia en definición de estándares de IA generativa a nivel organizacional. - Experiencia en mentoría de perfiles junior o semi senior. - Conocimiento en optimización de performance, costo y calidad de soluciones de IA. Company Description En Coforge, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.