AI Solution Architect

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Job Summary-

hands-on AI Solution Architect

Key Responsibilities-

• Architecture & Design:

• Architect end-to-end AI/ML solutions for use cases like fraud detection, risk scoring, customer analytics, and generative AI.
• Define scalable, secure AI architectures integrating data ingestion, model training, deployment, and monitoring.
• Select tools, frameworks, and platforms based on business needs.

• Hands-On Development & PoCs:

• Build and validate PoCs using Python, TensorFlow/PyTorch, and cloud-native services.
• Rapidly prototype models and optimize for performance and compliance.

• Implementation & Mentorship:

• Guide development teams, conduct code reviews, and ensure adherence to standards.
• Promote best practices in MLOps, model governance, and responsible AI.

Required Qualifications

• Bachelors/Masters in Computer Science, Data Science, or related field.
• 12-19 years in software development, with 4+ years in AI/ML/GenAI solutioning.
• Strong Python programming and ML frameworks (TensorFlow, PyTorch).
• Experience with

  AWS/Azure/GCP

  and MLOps tools (MLflow, Kubeflow).
• Knowledge of data privacy regulations (GDPR, RBI guidelines).

Preferred Skills

• Exposure to

  LLMs

  ,

  RAG architectures

  , vector databases, and generative AI.
• Strong problem-solving and design thinking skills.
• Excellent communication and client-facing abilities.
• Certifications in AI/ML or cloud architecture are a plus.