Solutions Architect – Cloud, AI/ML & Automation

About the role

The Solutions Architect will design and deliver end‑to‑end technology solutions that align with business objectives, enterprise architecture standards, and compliance requirements. You will work closely with clients, business stakeholders, engineering teams, and delivery partners to create scalable cloud, on‑premises, and hybrid architectures while driving digital transformation, automation, AI/ML adoption, and infrastructure modernization.

Key responsibilities

• Design comprehensive technical architectures across cloud, on‑premises, and hybrid environments based on client business, technical, and compliance needs.
• Lead automation initiatives by building CI/CD pipelines, Infrastructure‑as‑Code (Terraform, Ansible, etc.), and configuration‑management solutions.
• Architect AI/ML‑enabled solutions, including Large Language Model integrations and MLOps frameworks.
• Evaluate build‑versus‑buy options and recommend scalable, cost‑effective technologies.
• Define cloud strategies for IaaS, PaaS, and SaaS on AWS, Azure, GCP, OpenShift, and private clouds.
• Assess and modernize data‑center infrastructure (compute, storage, networking, virtualization, DR, BCP).
• Contribute hands‑on to application development through API design, microservices, system integrations, scripting, and automation tooling.
• Embed security best practices, threat modeling, vulnerability management, secure SDLC, and compliance frameworks (ISO 27001, NIST, PCI‑DSS).
• Produce architecture diagrams, technical documentation, solution proposals, and client presentations.
• Lead technical discovery workshops, solution scoping sessions, and architecture reviews.

Required profile

• Bachelor’s degree in Computer Science, Engineering, IT or related field, or equivalent experience.
• 5+ years of experience in solution architecture, infrastructure engineering, or platform engineering.
• Strong expertise in designing cloud, hybrid, and on‑premises enterprise architectures.

Required skills

• AWS, Microsoft Azure, Google Cloud Platform, OpenShift, private‑cloud environments.
• Terraform, Ansible, CI/CD pipeline design.
• AI/ML architectures, Large Language Model integration, MLOps.
• API design, microservices, scripting, automation tooling.
• Threat modeling, vulnerability management, secure SDLC.
• Compliance frameworks: ISO 27001, NIST, PCI‑DSS.
• Compute, storage, networking, virtualization, disaster recovery, business continuity planning.