Senior AI Engineer
About this role
Employer-provided description, formatted for easier reading.
About Us
ITC Infotech is a leading global technology services and solutions provider, led by Business and Technology Consulting. ITC Infotech provides business-friendly solutions to help clients succeed and be future-ready, by seamlessly bringing together digital expertise, strong industry specific alliances and the unique ability to leverage deep domain expertise from ITC Group businesses.
We provide technology solutions and services to enterprises across industries such as Banking & Financial Services, Healthcare, Manufacturing, Consumer Goods, Travel and Hospitality, through a combination of traditional and newer business models, as a long-term sustainable partner.
About Role
The Senior AI Engineer - Tulip Platform 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.
Location
Preference:
The roles will primarily be remote; however, candidates must be willing to travel to Phoenix for the final onsite technical interview and, once selected, be onsite approximately 4 days per month.
What you'll do:
- Contribute to Tulip architecture, patterns, and technical standards so the platform can scale securely and reliably across enterprise use cases.
- Deliver AI platform capabilities hands-on, including orchestration, RAG, agents, integrations, evaluation, observability, and production support patterns.
- Collaborate with engineers across workstreams, surface dependencies and risks early, and deliver assigned roadmap commitments predictably.
- Apply and help improve practices for secure, maintainable, testable, observable, and cost-conscious engineering execution.
- Contribute to documentation, design discussions, and knowledge sharing that strengthen how the team builds and operates AI solutions.
- Translate strategic AI objectives into technical outcomes that enable self-service solution delivery and measurable business value.
Job Qualifications
- 8+ years of professional software engineering experience with increasing responsibility for architecture, platform delivery, or complex enterprise systems.
- Hands-on experience designing and delivering production-grade applications, APIs, integrations, and distributed services.
- Strong proficiency in Python and modern software engineering practices such as automated testing, code review, and maintainable design.
- Experience with AI-enabled systems, including large language models, retrieval-augmented generation, agent or workflow orchestration patterns, model integration, evaluation, and responsible AI guardrails.
- Experience with cloud platforms such as Azure, AWS, or GCP, including containerization and infrastructure as code (Docker, Kubernetes, Terraform, Helm), CI/CD, observability, and operational support for production services.
- Experience translating business and product objectives into technical designs and executable engineering work.
- Demonstrated ability to contribute to technical design decisions, mentor less experienced engineers, and work effectively across multiple workstreams.
- Experience securing enterprise services and AI integrations, including OAuth 2.0 and OpenID Connect, secrets management, and automated security scanning in CI/CD.
- Strong communication skills with the ability to explain complex technical decisions to engineering, product, and business stakeholders.
- 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.
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.