Solutions Architect
Indexed description
HCLTech is a global technology company, home to more than 226,000+ people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues of US $14.5B for 12 months ending December 2025.
Overview
We are seeking an experienced Solutions Architect with expertise in AI/ML infrastructure, High Performance Computing (HPC), container platforms, and hybrid cloud environments. The successful candidate will be responsible for designing, implementing, and optimizing enterprise-scale AI platforms and private cloud solutions that support modern AI/ML workloads.
This role requires strong technical leadership and a deep understanding of AI infrastructure, container orchestration, cloud technologies, and enterprise architecture. The Solutions Architect will work closely with stakeholders to deliver scalable, secure, and high-performing solutions aligned with business objectives.
Key Responsibilities:
Leadership & Solution Governance
Act as the technical lead and design authority for AI infrastructure, container platform, and HPC-related initiatives.
Provide architectural guidance throughout the project lifecycle to ensure successful delivery.
Drive solution governance, risk management, and stakeholder alignment.
Ensure solutions meet scalability, performance, security, and operational requirements.
Solution Architecture & Design
Design and optimize end-to-end solutions across container orchestration, AI/ML platforms, and HPC environments.
Architect enterprise-grade platforms supporting AI workloads, data processing, and model deployment.
Integrate infrastructure platforms with DevOps, MLOps, observability, and automation tools.
Define reference architectures and implementation best practices.
Presales & Technical Consulting
Support technical assessments, solution workshops, and proposal development activities.
Lead Proof of Concept (PoC) engagements to validate architectural designs and solution performance.
Assess customer environments and provide recommendations for infrastructure modernization and AI platform adoption.
Translate business requirements into scalable technical solutions.
Innovation & Continuous Improvement
Stay current with emerging technologies and industry trends across AI/ML, HPC, Kubernetes, cloud computing, and automation.
Identify opportunities to improve solution design, operational efficiency, and platform performance.
Contribute to innovation initiatives and technical best practices.
Customer & Stakeholder Management
Act as a trusted advisor to customers and internal stakeholders.
Communicate complex technical concepts in a clear and business-focused manner.
Ensure architectural decisions align with business goals and desired outcomes.
Collaboration & Mentoring
Partner with cross-functional teams including infrastructure, cloud, networking, security, DevOps, and data science teams.
Provide technical leadership and mentorship to engineers and consultants.
Contribute to knowledge-sharing initiatives and technical communities.
Required Skills & Experience:
AI Infrastructure & HPC
Strong experience designing and implementing HPC and AI infrastructure solutions.
Experience with workload scheduling and resource management platforms.
Knowledge of cluster management, performance optimization, and large-scale compute environments.
Understanding of high-speed networking technologies and performance tuning concepts.
Containerization & Orchestration
Extensive experience with container technologies and Kubernetes-based platforms.
Hands-on experience with enterprise container orchestration solutions.
Understanding of GPU-accelerated computing environments and AI workload optimization.
Experience managing containerized applications in large-scale production environments.
Operating Systems & Virtualization
Strong Linux system administration experience.
Experience troubleshooting, performance tuning, and managing enterprise Linux environments.
Knowledge of virtualization technologies and virtualized workload management.
Cloud, DevOps & MLOps
Experience with hybrid cloud architectures and cloud-native technologies.
Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), automation, and platform engineering practices.
Experience supporting AI/ML lifecycle management and operationalization.
Understanding of security, compliance, observability, and monitoring frameworks.
Networking & Storage
Strong understanding of networking fundamentals including TCP/IP, DNS, routing, and load balancing.
Experience with enterprise storage and data access protocols.
Knowledge of scalable and resilient infrastructure design principles.
Programming & Automation
Proficiency in Python, Bash, or similar scripting languages.
Experience automating infrastructure deployment, configuration, and operational processes.
Leadership & Communication
Excellent analytical, problem-solving, and decision-making skills.
Strong communication and stakeholder management abilities.
Proven experience leading complex technical initiatives and architecture engagements.
Ability to align technical solutions with business objectives.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
Relevant certifications in cloud, Kubernetes, container platforms, AI infrastructure, or enterprise architecture are considered an advantage.
Typically 8+ years of experience designing and delivering AI, HPC, cloud, infrastructure, or container platform solutions.
Demonstrated experience working in enterprise-scale environments with a focus on performance, scalability, and reliability.
What we offer:
Food vouchers and social benefits package’
Opportunity for career progression
Young and vibrant team environment
Competitive salary
Professional on-boarding and on-going trainings
Are you willing to build up your career with us? – We’ll be happy to receive your resume in English!
*Your personal data is secure with us.
** Only candidates selected for interview will be contacted
HCLTech is committed to protecting and securing the privacy and confidentiality of the Personal Data which it collects directly or indirectly from you when applying for a job at HCLTech either directly or through a third-party human resources agency. This notice (the “Notice”) outlines and explains how HCL Technologies Limited including its subsidiaries, local employing entities, associates, and affiliated companies [collectively referred to as “HCLTech”, “us,” “our”, or “we”] will process your Personal Data in accordance with applicable privacy legislation(s)
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