Solutions Integrations Architect

Position As the Manager of HPC Solutions Architecture, you will oversee a team of domain-specialist architects spanning compute, storage, security, Kubernetes, networking, and systems integration. The team engages directly with customers to design and deliver high-performance computing (HPC) solutions that are secure, scalable, resilient, and optimized for workload-specific needs. You will guide your team through the entire customer lifecycle—from early engagement and requirements discovery, through solution design, proof‑of‑concepts, and deployment, to ongoing optimization and adoption. Your role will ensure that customers achieve measurable value at every stage while maintaining the flexibility to scale as their workloads evolve. In addition to managing delivery, you will serve as a trusted advisor and strategic partner, building strong customer relationships and ensuring architectures align with both technical priorities and business objectives. You will also collaborate closely with product and engineering teams, turning field insights into reference architectures, reusable design patterns, and platform enhancements that strengthen the overall ecosystem. This role offers the opportunity to shape the strategic direction of HPC solutions, influence product innovation, and establish best practices that drive customer success, platform scalability, and architectural excellence. Responsibilities Lead, mentor, and develop a high-performing team of Solutions Architects across compute, storage, Kubernetes, networking, security, and systems integration. Act as the strategic link between customers, your team, and engineering, ensuring alignment between customer outcomes and platform evolution. Build and maintain trusted advisor relationships with customers, enabling them to maximize the value of HPC architectures. Oversee the creation of reference architectures and design blueprints to ensure repeatable, scalable solutions. Guide proof‑of‑concept initiatives, validating solution performance and accelerating customer confidence in adoption. Conduct technical design reviews and workload assessments, identifying opportunities to improve efficiency, resilience, and cost‑effectiveness. Recommend strategic design choices across compute, storage, networking, data pipelines, and security to align with customer‑specific workloads. Act as a trusted partner to product and engineering, providing field insights that shape platform roadmaps and features. Encourage prototyping of new architectural approaches for emerging HPC and AI/ML workloads, translating innovation into production‑ready solutions. Ensure the team maintains high‑quality documentation, reusable patterns, and best practices for consistent delivery. Stay current with emerging technologies (GPUs, accelerators, interconnects, distributed storage, orchestration frameworks) and guide clients in adoption. Represent the organization at client workshops, technical deep‑dives, and industry events, occasionally requiring travel. Champion a culture of customer success, technical excellence, and continuous improvement across the Solutions Architecture team. Requirements Bachelor's Degree or Equivalent Experience. 10+ years of experience in HPC, Solutions Architecture, or large‑scale systems design. 3+ years of technical team leadership (managing architects/engineers across domains). Proven leadership experience managing multi‑disciplinary architecture or engineering teams within HPC, cloud, or large‑scale distributed systems. Strong architectural expertise across compute, storage, networking, Kubernetes, and security, with the ability to integrate domains into cohesive solutions. Hands‑on understanding of HPC technologies, including GPU acceleration (CUDA, NVIDIA ecosystem), workload schedulers (Armada, Slurm, Kubernetes), and distributed storage (VAST, Lustre, GPFS, object stores). Experience designing secure and compliant architectures, covering identity management, encryption, and regulatory frameworks. Proven success in customer‑facing communication and engagement, with the ability to capture detailed technical requirements and translate them into tailored, scalable HPC system designs. Skilled at articulating complex solutions across AI/ML, scientific computing, simulation, and data‑intensive workloads to both technical stakeholders and executive audiences. Proven track record of driving solution adoption and enabling measurable customer success. Preferred Experience Experience delivering or supporting HPC or AI/ML workloads at scale, with a focus on performance, optimization, and lifecycle management. Familiarity with data and analytics platforms (Kafka, Spark, or similar) integrated with HPC workflows. Knowledge of automation and DevOps practices, including CI/CD (GitLab, Jenkins) and infrastructure‑as‑code (Terraform, Ansible). Background in customer‑facing engagements, such as leading workshops, technical reviews, or industry presentations. Awareness of emerging compute technologies (next‑gen GPUs, interconnects like InfiniBand/RDMA, and container runtimes for HPC). Advanced degree in Computer Science, Engineering, Physics, or related technical field. Relevant certifications such as AWS Solutions Architect, Azure Solutions Architect Expert, GCP Professional Cloud Architect, Cisco CCNP, Red Hat RHCE, Certified Kubernetes Administrator (CKA), or Certified Kubernetes Security Specialist (CKS). #J-18808-Ljbffr NorthMark Compute & Cloud