Data/ ML Solution Architect (GenAI, AWS)

7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure).

Excellent communication and problem-solving skills, with the ability to work across multiple projects and the ability to articulate complex technical concepts to both technical and non-technical audiences.

Technical sales or pre-sales experience with cloud and big data, and ML solutions.

Strong leadership and team collaboration abilities.

Strategic thinking with a focus on delivering measurable business value.

Proven ability to build strong relationships with customers and act as a trusted advisor.

Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack.

Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.

Proven experience with data lakes, data warehouses, and real-time data analytics.

Proven experience with microservice architecture and containerized deployment options.

Hands-on experience with Kubernetes, Docker, and containerized applications.

Proficiency in any of backend backend-related languages: TS, Java, Python, and others.

Solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow).

Demonstrated ability to lead and mentor cross-functional teams.

Familiarity with agile methodologies.

Nice to Have:

Experience in Generative AI implementations.

Proficiency with graph databases (Neo4j, AWS Neptune).

Knowledge of data mesh principles and data contracts.

Operational knowledge of infrastructure deployment tools like AWS CDK, CloudFormation, and Terraform.