AI Solutions Architect

We are seeking an experienced AI Solutions Architect to join our Hyderabad office and lead the design, development, and deployment of scalable AI-driven solutions.

You will collaborate with cross-functional teams to translate business requirements into technical architectures, ensure best practices in machine learning and cloud deployment, and guide stakeholders through the full project lifecycle from proof of concept to production.

Design end-to-end AI solution architectures that meet business objectives and performance requirements

Lead technical evaluation and selection of machine learning frameworks, cloud services, and deployment tools

Collaborate with data scientists, software engineers, and product managers to define requirements and deliverables

Develop and enforce best practices for AI model development, versioning, testing, and deployment

Architect and implement scalable cloud infrastructures on AWS, Azure, or GCP for model training and inference

Define and implement CI/CD pipelines, containerization, and orchestration for AI workloads

Conduct performance tuning, cost optimization, and security assessments of deployed solutions

Mentor and guide engineering teams on AI, deep learning, and cloud architecture patterns

5–12 years of experience designing and delivering AI/ML solutions in enterprise environments

Strong expertise in machine learning and deep learning frameworks (TensorFlow, PyTorch, scikit-learn)

Proven experience architecting cloud solutions on AWS, Azure, or GCP

Hands-on experience with AI model deployment, containerization (Docker), and orchestration (Kubernetes)

Solid background in data science, feature engineering, and data pipeline design

Proficiency in Python and relevant libraries for AI and data processing

Deep understanding of software architecture principles, microservices, and API design

Excellent communication skills to interact with technical and non-technical stakeholders

Advanced degree (MS or PhD) in Computer Science, Engineering, or related field

Certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect

with MLOps tools (Kubeflow, MLflow, TFX) and monitoring frameworks

Familiarity with big data technologies (Spark, Hadoop) and real-time streaming (Kafka)

leading cross-functional teams and mentoring junior engineers

Knowledge of security best practices and compliance standards for AI applications