<p><p><b>Description :</b></p><p><br/>- Work with a global tech giant on some of the most impactful AI/ML adoption journeys in the industry<br/><br/>- Shape enterprise AI strategy across multiple sectors, from concept to real-world scale<br/><br/>- Collaborate with world-class experts and cutting-edge technologies<br/><br/>- Competitive compensation, high visibility, and career growth in a fast-evolving space<br/><br/>Our client is a global technology leader driving large-scale digital transformation for enterprises worldwide.<br/><br/><b>The Job :</b></p><p><br/>As a Senior Solutions Architect (AI/ML), you will partner with enterprise customers to design, implement, and scale machine learning and generative AI solutions in the cloud.
You will be a trusted advisor, guiding organizations on how to build secure, high-performance, and cost-efficient AI platforms that accelerate business outcomes.<br/><br/><b>Key Responsibilities :</b></p><p><br/>- Design and implement end-to-end architectures for AI/ML workloads, including data ingestion, model training, deployment, and monitoring.<br/><br/>- Advise on scalable infrastructure for generative AI, foundation models, and data-driven applications.<br/><br/>- Collaborate with data science, product, and engineering teams to accelerate AI adoption across industries.<br/><br/>- Deliver workshops, proof-of-concepts, and executive briefings to showcase AI/ML best practices.<br/><br/>- Support enterprise migrations of AI/ML pipelines from on-premises or legacy systems to the cloud.<br/><br/>- Drive conversations on security, compliance, and responsible AI in large-scale environments.<br/><br/>- Mentor engineering and data teams, helping them operationalize and optimize AI solutions.<br/><br/><b>Ideal Candidate :</b></p><p><br/>- You have 8-12 years of experience in enterprise IT, with at least 5 years in AI/ML solution architecture or related fields.<br/><br/>- You also have 8+ years of experience in cloud-based solutions, systems, networking, and operating environments, along with strong hands-on expertise in coding, data querying languages (e.g., SQL), and scripting languages (e.g., Python).<br/><br/>- Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps practices.<br/><br/>- Hands-on expertise in data pipelines, feature engineering, model deployment, and monitoring at scale.<br/><br/>- Solid background in distributed systems, high-availability design, and cloud-native architectures.<br/><br/>- Experience with generative AI models, LLMs, and integration into enterprise applications is a strong plus.<br/><br/>- Strong communication and stakeholder engagement skills; able to influence both executives and technical teams.<br/><br/>- Curiosity and a continuous learning mindset to stay ahead in the fast-evolving AI/ML landscape.</p><br/></p> (ref:hirist.tech)