Sr. AI Engineer (Tulip Platform)

ITC Infotech; Tempe (AZ); Sur place; USD 150 000 - 210 000; Plein temps

Résumé du poste

ITC Infotech in Tempe, AZ is seeking a Senior AI Engineer to design, build, and operate Tulip and related AI platform capabilities. You will focus on architecture, engineering standards, and mentor peers through design discussions and code reviews.

The ideal candidate will have 8+ years in software engineering with hands-on delivery of enterprise AI systems, including LLMs, RAG, agents, and vector search, in a cloud-native setup.

Qualifications

• 8+ years of software engineering with ownership of architecture or complex enterprise systems.
• Strong Python and modern engineering practices including automated testing and code reviews.
• Experience producing AI systems: LLMs, RAG, agents, vector search, model evaluation and AI guardrails.
• Cloud and DevOps experience with containerization and IaC: Azure/AWS/GCP, Docker, Kubernetes, Terraform/Helm, CI/CD, observability.

Responsabilités

• Design, build, and operate Tulip and related AI platform capabilities.
• Contribute to architecture standards and mentoring peers through design discussions and code reviews.
• Deliver high-quality AI solutions aligned to business priorities in a fast-paced enterprise environment.

Connaissances

AI platform architecture

LLM, RAG, agents

API, integration, data architecture

Containers, Kubernetes

Python

Cloud-native engineering

Security by design

DevOps, CI/CD

Formation

Bachelor’s degree in computer science or related field

Outils

Docker

Kubernetes

Terraform/Helm

CI/CD tooling

Azure/AWS/GCP

Description du poste

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.

Location - Tempe, AZ

Start Date - Immediate

Position Overview

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.

Job Qualifications:

• 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 DevOps: 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.

Preferred Qualifications

• 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.

Skills

• AI platform architecture and engineering execution
• LLM, RAG, agentic workflows, vector search, AI evaluation, multi-model integration, and agent interoperability patterns
• API, integration, eventing, and data architecture
• Containers, Kubernetes, and infrastructure as code
• Python, SQL, cloud-native engineering, and secure service design
• Spec-driven development and AI-augmented engineering workflows
• Technical sequencing, dependency awareness, and predictable delivery
• Engineering standards, design reviews, and code quality
• Production readiness, service reliability, SLOs, incident response, and cost awareness
• Peer mentorship, cross-team collaboration, and stakeholder communication

ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC infotech is committed to providing veteran employment opportunities to our service men and women.