Principal AI / ML Architect IRC282629

Description

We are seeking a visionary and highly technical Principal AI / ML Architect to define and lead the execution of our AI/ML-enabled product roadmap. This role requires deep expertise across the entire ML lifecycle (MLOps), from data ingestion and model training to scalable deployment, monitoring, and governance. The Architect will be responsible for defining the architectural patterns that ensure our AI solutions are reliable, ethical, and deliver maximum business value.

Requirements

Required Technical Qualifications:

10+ years of experience in software or data engineering, with at least 5+ years focused on architecting and deploying AI/ML solutions at scale.
Deep, demonstrable experience across the entire ML lifecycle and expertise in designing and implementing MLOps platforms.
Expertise in Cloud ML platforms (e.g., AWS Sagemaker, Azure ML, Google AI Platform) and related cloud infrastructure (e.g., Kubernetes, serverless functions).
Strong background in data architecture relevant to ML (e.g., Delta Lake, data lakes, feature stores).
Proficiency in at least one major programming language for ML (e.g., Python) and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
Experience architecting API-driven model serving layers and integrating ML outputs into production applications.
Solid understanding of the mathematical and statistical foundations of predictive modeling and deep learning.

Preferred Qualifications:

Experience with Generative AI architectures (e.g., RAG pipelines, fine-tuning LLMs, vector databases).
Experience designing systems subject to regulatory compliance or ethical constraints (e.g., bias detection and mitigation).
Certification in Cloud Architecture or ML Engineering (e.g., AWS Certified Machine Learning – Specialty).

Education:

Master’s in Computer Science, Data Science, Engineering, or a related quantitative field is highly desirable, or equivalent practical experience.

Job responsibilities

Key Responsibilities:

1. AI/ML Strategy & Roadmap Definition

Define the 2-3 year technical roadmap for AI/ML capabilities, aligning architectural investments with overall business strategy and product goals.
Evaluate emerging AI/ML technologies (e.g., Generative AI, Large Language Models (LLMs), latest deep learning architectures) and determine their feasibility and fit within the existing ecosystem.
Translate complex business problems into clear, feasible, and scalable AI/ML solution architectures.
Lead the Build vs. Buy analysis for core ML components, platforms, and third-party AI services.

2. End-to-End AI Solution Design

Design and document end-to-end ML system architectures, covering data pipelines, training infrastructure, model serving APIs, and feedback loops.
Define standards for data quality, feature engineering, and feature store utilization to ensure data consistency across training and inference environments.
Architect highly available and low-latency real-time inference systems using technologies like Kubernetes, optimized model serving frameworks (e.g., Triton Inference Server), and edge computing where applicable.
Specify the integration architecture for deploying ML models into production applications (e.g., defining REST or gRPC APIs for model consumption).

3. MLOps & Platform Architecture

Architect the MLOps pipeline to ensure continuous integration, continuous delivery, and continuous training ($text{CI/CD/CT}$) of ML models.
Define and implement robust Model Monitoring and Observability solutions, tracking key metrics like model drift, data drift, prediction latency, and ethical fairness metrics.
Establish the infrastructure architecture for scalable distributed model training on cloud platforms (AWS, Azure, or GCP).
Define ML Model Governance strategies, including model versioning, lineage tracking, and compliance documentation.

4. Technical Leadership & Mentorship

Provide technical leadership and guidance to ML Engineers, Data Scientists, and Data Engineers on architectural best practices, tool selection, and performance optimization.
Lead cross-functional reviews (Security, Infrastructure, Data Governance) to ensure architectural compliance and operational readiness.

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.