AI / ML Solution Architect

About The Role In this role, you will design and deliver enterprise AI/ML solutions for client engagements, with a primary focus on the Middle East and Central Asia. You will shape scalable and secure architectures across on-premises and hybrid environments, working with enterprise customers, technology partners, and delivery teams from use-case definition through production.

Responsibilities

• Design end-to-end AI/ML solution architectures aligned with enterprise business, data, security, and infrastructure requirements
• Lead AI initiatives from use-case definition and technical discovery through architecture, implementation, deployment, and transition to production
• Define architectures for Generative AI, LLM, RAG, AI agents, and intelligent automation using NVIDIA and other enterprise technologies
• Recommend appropriate AI technologies, frameworks, deployment approaches, and infrastructure sizing, including GPU-based environments
• Collaborate with enterprise customers, technology partners, engineers, data scientists, and infrastructure teams throughout the solution lifecycle
• Integrate AI solutions with enterprise data platforms and technologies such as NVIDIA AI Enterprise, Cisco AI Defense, Splunk, IBM watsonx, and ServiceNow
• Guide implementation teams to ensure scalability, security, performance, reliability, maintainability, and operational readiness
• Support technical discovery, customer workshops, solution estimation, and proposal development while applying AI engineering and MLOps best practices

Requirements

• 2+ years of experience as a Solution Architect designing complex AI/ML solutions and 4+ years of technical leadership experience in Machine Learning or Data Science
• Strong experience designing and delivering enterprise AI/ML solutions, including Generative AI, LLMs, RAG, and AI agent architectures
• Strong knowledge of on-premises and hybrid infrastructure, Kubernetes-based environments and/or VMware, and cloud platforms such as Azure, AWS, or Google Cloud
• Strong understanding of MLOps, model deployment, monitoring, AI lifecycle management, Python, and modern AI/ML frameworks
• Experience with NVIDIA AI Enterprise, NVIDIA GPU infrastructure, or related NVIDIA AI technologies would be an advantage
• Experience delivering AI solutions in the Middle East or Central Asia, regulated enterprise environments, or in collaboration with technology partners and OEMs would be an advantage
• Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to lead technical discovery and solution-design discussions with enterprise customers
• Availability to travel up to 2–3 weeks per month, primarily for customer and partner engagements

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.