Enterprise Solutions Architect (AI Focus) IRC284182

Description

AI Agents for industrial equipment maintenance and management. AI based solution for field service engineers which perform maintenance and equipment tuning, and setup. The solution covers a wide range of use cases, including predictive maintenance, inventory management automation, work schedule management, and planning.
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Requirements

Required Skills and Qualifications

• 10+ years of professional experience in software engineering, with at least 5 years operating specifically as an Enterprise Architect, Solutions Architect, Principal Engineer, or similar architecture-focused role.
• Proven experience in architecting, designing, and overseeing the implementation of large-scale, complex AI / Data / Cloud platform programs involving multiple cross-functional teams and external vendors.
• Strong understanding of modern SDLC methodologies (Agile, CI/CD, DevSecOps) and distributed system design principles.
• Hands-on experience with Azure/GCP cloud architecture, containerization, and API gateway-based microservice ecosystems.
• Hands-on experience in building on-prem based solutions which can work in isolated/air-gaped environments.
• Hands-on experience in building applications and services which are running on top of Kubernetes.
• Demonstrated experience in multi-vendor program governance, including delivery coordination, RACI ownership, and risk management.
• Deep understanding of data pipelines, ingestion frameworks, and AI/ML integration concepts.
• Excellent communication and stakeholder management skills; able to interface effectively with both engineering and executive audiences.
• Strong analytical, problem-solving, and conflict-resolution abilities in complex delivery environments. Must have a track record of driving technical consensus on high-stakes architectural decisions.

Preferred Qualifications

• Background in AI-driven platforms, AI Agents, ML based solutions.
  Familiarity with Azure AI Foundry or Google Agentspaces.
• Experience in cross-organization alignment (client–vendor–partner triangle).
• Experience in leading engineering teams.
• Experience in managing globally distributed teams.

Must-Have / Primary Keywords

Engineering Management, Program Delivery, Enterprise Architect, Solutions Architecture, Principal Engineer, AI/ML, Azure, Cloud Architecture, Data Engineering, DevOps, Stakeholder Management, Risk Mitigation, Cross-Vendor Coordination, Agile Delivery, Technical Leadership, Generative AI, AI Agents

Job responsibilities

We are seeking an Enterprise Solutions Architect (senior level engineering manager, AI Focus) to lead the engineering execution and technical governance of the AI-driven project — a set of purpose built AI agents for industrial equipment maintenance and management.

The ideal candidate is a seasoned solutions architect and senior technical leader with proven experience in managing cross-functional engineering teams (backend, frontend, data, DevOps, and AI/ML), driving platform-level architecture decisions, and ensuring technical alignment across multiple stakeholders (including vendors, partners) and serving as the final authority on all major design and technical trade-off.

This role combines technical leadership, delivery management, and business alignment — balancing strategic direction, engineering excellence, and predictable delivery in a highly dynamic multi-vendor environment.

Responsibilities

Project Leadership & Delivery Excellence: Drive the execution of the product roadmap, ensuring timely and high-quality delivery across multiple workstreams (data ingestion, backend, frontend, ML integration, UX). Establish strong coordination with Product, Architecture, and DevOps leads.

Architecture Leadership & System Design: Define and own Platform Architecture, serve as the Enterprise Architect, designing and owning the core platform blueprint for scalability, security, and performance across the organization. This includes definitive decision-making on component selection, cloud topology and deployment model (on-prem/air-gapped).

Technical Governance: Define and maintain engineering standards, architecture guidelines, and code quality practices. Collaborate with other tech leads to ensure scalability, security, and compliance with policies and guardrails. Conduct deep technical reviews to ensure all implementations adhere to the approved system architecture

Cross-Team Alignment: Manage dependencies across internal and external teams. Lead coordination of milestones, risks, and change management to maintain synchronization across all partners.

Stakeholder Management: Serve as a senior engineering counterpart for client stakeholders, ensuring transparency, accountability, and clear communication on progress, blockers, and technical decisions.

Resource & Capacity Planning: Own capacity planning and workload distribution across engineering domains. Anticipate resource constraints, propose mitigation plans, and support staffing decisions.

Quality & Risk Management: Monitor engineering performance through metrics and KPIs. Identify risks early, ensure mitigation steps are tracked, and maintain quality assurance across all deliverables.

Innovation & Continuous Improvement: Promote automation, reusable components, and AI-assisted engineering practices. Encourage continuous improvement through lessons learned and engineering retrospectives.

Team Leadership & Mentorship: Build and nurture a strong engineering culture. Provide mentorship to technical leads and senior engineers, fostering growth, ownership, and accountability.

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.