Technical Architect Leader -Application Modernization & AI Integration

Role Overview:

Technical Architect Leader

Key Responsibilities:

• Architectural Leadership:

• Define and evolve the technical architecture for the modernization.
• Partner with enterprise stakeholders.
• Lead end-to-end solution design, ensuring scalability, performance, and security.
• Establish architectural standards, patterns, and best practices.

• AI & Agent Integration:

• Identify opportunities to embed AI/ML models and intelligent agents to automate decision-making and optimize operations.
• Collaborate with data scientists and AI engineers to integrate predictive analytics, anomaly detection, and autonomous workflows.

• Modernization Strategy:

• Assess legacy systems and define a phased modernization roadmap.
• Drive migration to microservices, containerization, and infrastructure agnostic deployments.
• Introduce APIs, event-driven architecture, and real-time data processing.

• Innovation & Value Creation:

• Partner with product teams to conceptualize and deliver new features that create tangible business value.
• Stay ahead of emerging technologies and trends to continuously evolve the platform.

• Team & Stakeholder Collaboration:

• Mentor engineering teams and foster a culture of technical excellence.
• Work closely with cross-functional stakeholders including product, operations, and leadership.

Required Qualifications:

• Bachelors or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years of experience in software architecture and engineering leadership.
• Proven experience modernizing large-scale enterprise applications.
• Strong expertise in cloud platforms, microservices, and API design.
• Hands-on experience with AI/ML integration and intelligent agent frameworks.
• Excellent communication and stakeholder management skills.

Preferred Skills:

• Individual should be hands-on with software development.
• Individual should be well versed Gen AI tooling usage in SDLC.
• Experienced with defining architecture and architecture strategy.
• Experience with mining, industrial automation, or heavy equipment software platforms.
• Familiarity with edge computing, IoT, and telemetry data processing.
• Knowledge of DevOps, CI/CD, and infrastructure-as-code.
• Certifications in cloud architecture (AWS, Azure, GCP) or AI/ML.

Why Join Us?

• Be at the forefront of digital transformation in a high-impact domain.
• Work with cutting-edge technologies and shape the future of intelligent systems.
• Collaborate with passionate teams in a dynamic and innovative environment.