Sr. AI Engineer; Tulip Platform

ITC Infotech is a wholly owned subsidiary of ITC Limited, one of India's foremost private sector companies and a diversified conglomerate. The ITC Group, with a market capitalization of $65 billion, is globally recognized as a leader in sustainability. The group's vision is to achieve world-class performance and create growing value for both the Indian economy and its stakeholders. This vision is supported by core values such as Trusteeship, where professional managers hold the company in "trust" for its stakeholders;

a strong Customer Focus;
Respect for People; a commitment to Excellence; a pursuit of Innovation; and a strong Nation Orientation.

ITC Infotech's business philosophy is that business is at the center and technology is an enabler, as reflected in its tagline, "Business-friendly Solutions." The company offers a wide range of services and solutions across key business areas, including CIO Services (Automation, Digital Workplace, ERP), Digital Experience (Experience Transformation), and Product 4.0 (Product Lifecycle Management, Digital Manufacturing). In the last seven years, ITC Infotech has successfully doubled its revenue from $250 million to $500 million+ annually, with its EBIT improving from 8% to over 18%.

With this strong growth momentum, ITC Infotech is now embarking on its next journey, known as 'Next Orbit,' with the ambitious goal of reaching $1 billion in annual revenue within the next four years. The Americas region is a critical part of this charter and is expected to increase its contribution to total revenue from the current 35% to a range of 40% to 50%.

Manufacturing is a key vertical for the group and ITC Infotech with BFSI, Retail, CPG, Travel, Transportation & Hospitality being others.

Investing in enterprise AI capabilities to accelerate delivery, enable self-service technology, and help teams solve meaningful business problems faster. Tulip is a strategic AI platform that provides reusable patterns, tools, and services to make AI-enabled solution delivery easier, safer, and more scalable across the organization.

The Senior AI Engineer is a hands-on role responsible for designing, building, and operating Tulip and related AI platform capabilities. The focus is deep technical execution: contributing to architecture and engineering standards, and mentoring peers through design discussion and code review.

The ideal candidate is a pragmatic builder and strong technical partner who can navigate ambiguity, uphold clear technical standards, and consistently deliver high-quality AI solutions aligned to business priorities.

• 8+ years of software engineering, with ownership of architecture, platform delivery or complex enterprise systems (production APIs, integrations, distributed services).
• Strong Python plus modern engineering practices: automated testing, code review and maintainable design.
• Production of AI systems: LLMs, RAG, agents and workflow orchestration, vector search, model evaluation and AI guardrails.
• Cloud and Dev Ops:
  Azure, AWS or GCP, with Docker, Kubernetes, Terraform/Helm, CI/CD, observability, and production reliability (SLOs, incident response).
• Security: OAuth 2.0 and OpenID Connect, secrets management, and automated security scanning in CI/CD.
• Bachelor’s degree in computer science, Engineering, Information Systems, or related field preferred, or equivalent practical experience.

• Experience building internal developer platforms, enterprise AI platforms, automation frameworks, or reusable engineering accelerators.
• Experience with Azure AI, Azure OpenAI, Microsoft Fabric, Databricks, vector databases, semantic search, prompt orchestration, or agentic AI frameworks.
• Experience with enterprise AI governance, model and prompt auditability, and responsible AI controls in a compliance-sensitive environment.
• Experience enabling citizen development, self-service workflows, or governed low-code/no-code solution delivery.
  
  Experience working in retail, restaurant, ecommerce, loyalty, finance, supply chain, or high-volume enterprise environments.
• Experience partnering with product managers, business analysts, forward deployed engineers, and enterprise architects to move ideas from discovery to delivery.

• AI platform architecture and engineering execution
• LLM, RAG, agentic workflows, vector search, AI evaluation, multi-model integration, and agent interoperability patterns
• API, integration,…