Architect with AI skills IRC295747

Description

The Project covers Phase 1a — Lift & Shift of an existing standalone domain-specific application to a centralized enterprise AI platform with minimal code changes. The goal is to transform the application from a stand-alone tool into a solution deployed on the shared AI platform, with future enhancements potentially enabling deployment of solution variants for additional business units. The engagement follows a joint delivery model: the domain organization owns business and domain accuracy, while the platform organization owns standardization, security, and shared services. The Project also supports consolidation of AI-related spending, centralized security and authentication, and the creation of a reusable blueprint for migrating similar vertical business applications onto the horizontal AI platform. The Architect will play a key role in shaping the target architecture, defining migration patterns, and establishing the foundation for future onboarding of additional applications.

Requirements

10+ years of experience in software architecture and engineering, with at least 3+ years focused on AI/ML solutions. Proven experience in designing and implementing enterprise-scale AI architectures, including LLM-based systems, RAG pipelines, and ML model deployment. Strong proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex or equivalent). Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services. Deep understanding of containerization (Docker, Kubernetes) and microservices architecture. Solid knowledge of both relational and non-relational databases, including vector databases (Pinecone, Weaviate, pgvector). Experience designing secure, scalable, and observable AI systems in production. Familiarity with MLOps practices, CI/CD for ML, and model lifecycle management. Strong background in API design, event-driven architectures, and system integration patterns. Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent. Excellent problem-solving, communication, and stakeholder management skills. Demonstrated ability to lead architecture discussions, mentor engineering teams, and drive technical decisions across multiple workstreams. Upper-Intermediate or higher English for effective communication with international stakeholders.

Job responsibilities

Define and own the end-to-end architecture for AI-powered solutions, including data flow, model serving, integration, and security layers. Design migration strategies for moving standalone applications onto centralized AI platforms with minimal disruption. Collaborate with product owners, data scientists, ML engineers, and platform teams to translate business requirements into scalable technical solutions. Establish architectural standards, reference patterns, and best practices for AI/ML solution delivery across the organization. Lead technical design reviews, evaluate trade-offs, and make decisions on technology stack, frameworks, and tooling. Ensure non-functional requirements — scalability, reliability, performance, security, and cost efficiency — are met across all AI workloads. Guide the integration of LLMs, RAG, and ML models into production systems with proper observability, evaluation, and guardrails. Mentor senior and mid-level engineers, conduct architecture and code reviews, and foster a culture of technical excellence. Stay current with advancements in AI, ML, and platform engineering, and bring relevant innovations into the delivery roadmap. Create and maintain architecture documentation, diagrams, and decision records (ADRs). Support pre-sales, solution shaping, and effort estimation for new AI initiatives.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.