Platform & System Design

Architect scalable, high-availability data pipelines for processing large-scale industrial workloads with optimized latency and reliability.
Design modular, reusable AI services and components that integrate effectively within Digital Twin platforms and enterprise ecosystems.
Build production-grade AI systems with strong focus on security, observability, resiliency, and scalability.

Technical Leadership

Provide architectural direction and mentor AI engineers and cross-functional development teams.
Review and validate solution architectures to ensure compliance with enterprise standards and best practices.
Lead initiatives focused on performance optimization, operational efficiency, cost management, and platform stability across AI deployments.

Integration & Full-Stack Enablement

Drive integration of AI capabilities into modern web applications and mobile platforms, with preference for MEAN stack environments.
Define and implement scalable API and microservices architectures for AI-driven applications.
Ensure seamless, intuitive user and operator experiences across integrated systems and platforms.

Collaboration & Innovation

Collaborate with AI researchers, product stakeholders, and domain specialists to transform advanced AI concepts into scalable enterprise solutions.
Assess and recommend emerging AI frameworks, technologies, and tools for adoption within industrial platforms.
Contribute to the strategic vision, roadmap, and evolution of AI-first enterprise solutions.

Qualifications

Bachelors or Masters degree in Computer Science, Engineering, or a related discipline (Masters preferred).
7+ years of experience in software engineering, including significant expertise in architecting AI/ML-powered systems.
Strong understanding of distributed systems, system design, data structures, algorithms, and complexity analysis.
Proven experience building and scaling AI architectures in production environments, including:
Retrieval-Augmented Generation (RAG) systems
Large Language Model (LLM) integrations
Search and optimization platforms
Applied AI solutions such as anomaly detection, recommendation systems, and NLP applications
Expertise in scalable API development and microservices-based architectures.
Experience integrating AI solutions into full-stack ecosystems and mobile platforms; MEAN stack experience is highly desirable.
Strong architectural and strategic thinking with the ability to balance innovation, scalability, maintainability, and business outcomes.
Experience within industrial technology or Digital Twin domains is a strong advantage.

Key Attributes

Strategic mindset combined with strong hands-on technical expertise.
Ability to translate complex AI concepts into scalable, enterprise-grade systems.
Strong sense of ownership with proven cross-functional leadership capabilities.
Passion for advancing AI-first industrial software platforms and solutions.

Artificial Intelligence Engineer