Cloud AI/ML Architect

Description :

- Work with a global cloud leader on high-impact AI/ML and Generative AI adoption journeys

- Shape enterprise AI strategy across multiple sectors, from concept to real-world scale

- Collaborate with world-class experts and cutting-edge cloud technologies

- Competitive compensation, high visibility, and career growth in a fast-evolving space

Our client is a world-renowned technology innovator, enabling enterprises across the globe to accelerate digital transformation.

The Job :

We are seeking a seasoned technologist to lead our new Cloud & AI capability for a large-scale AI/ML implementation.

In this role, you will architect sophisticated, highly scalable AI and data-driven solutions; advise senior business stakeholders; and help shape the direction of our cloud-based service offerings.

This is a high-visibility, high-impact position with broad cross-functional exposure within a major technology enterprise.

Key Responsibilities :

- Serve as a principal architect and subject-matter expert for cloud-native AI / ML / data solutions, guiding both tactical implementation and long-term strategy

- Collaborate with engineering, product, infrastructure, security, and operations teams to define architecture roadmaps, standards, and best practices

- Lead proof-of-concept, pilot, and production deployments of AI, machine-learning, and large-model systems at scale

- Provide technical leadership, design reviews, code reviews, and hands-on mentoring to engineering teams

- Define and enforce governance around model lifecycle, data pipelines, monitoring, testing, operations, and security for AI/ML workloads

- Engage with senior stakeholders to convert domain problems into technical solutions, and to articulate value, risk, and trade-offs

- Keep abreast of advances in AI/ML, emergent frameworks, and operational techniques; assess their relevance and applicability

Ideal Candidate :

- You possess 3 years of experience in cloud architecture and implementation

- You have a Bachelors degree in Computer Science, Engineering, or a related field, or equivalent experience

- You have experience designing, architecting, and implementing AI/ML and Generative AI solutions

- You have a strong understanding of cloud architecture, distributed systems, and high-availability design

- You have hands-on expertise in coding, scripting (e.g., Python), and data querying (e.g., SQL)

- You have experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps practices

- You are an effective communicator with strong stakeholder engagement skills, able to explain technical concepts to both technical and non-technical audiences

- You are curious, adaptable, and committed to continuous learning in the fast-evolving AI/ML landscape