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Senior Artificial Intelligence Engineer

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Onsite

Senior Artificial Intelligence Engineer

Targeticon Digital Services

Senior Artificial Intelligence Engineer

Skills

Google Cloud PlatformDockerPyTorchTensorFlowAIAWSKubernetesAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Position: Senior AI Architect
Location: Colaba, Mumbai
No. of positions: 2
Essential Experience: Minimum of 15 years of hands-on experience with AI

Key Responsibilities / Accountabilities:
Summary: We are looking for a seasoned Sr. AI Architect to join our dynamic AI team working on advanced products for the Banking, Financial Services, and Insurance (BFSI) sector. This role demands a strategic thinker with strong technical depth who can lead end-to-end architecture design, deployment planning, and scaling of AI-driven systems, both on AWS cloud and on-premise environments.

Core Responsibilities

  • Architectural Design: Build scalable, cost-aware systems handling data pipelines, GPU utilization, and model deployment across hybrid or cloud environments.
  • Technology & Model Selection: Choose between RAG (Retrieval-Augmented Generation) or fine-tuning, and select the best tools (e.g., LangGraph, TensorFlow, PyTorch) for specific use cases.
  • System Integration: Guarantee AI solutions integrate seamlessly with existing IT infrastructure and maintain security standards.
  • Governance & Lifecycle Management: Implement MLOps (ModelOps), monitor for latency and hallucinations, and establish automated guardrails.
  • Stakeholder Management: Collaborate with executives, data scientists, and engineers to align technology roadmaps with business ROI.

Key Skills & Requirements

  • Data Management: Expertise in vector databases, data readiness, processing large networks, and orchestration frameworks.
  • Data Management: Expertise in vector databases, data readiness, and processing largedatasets.
  • Cloud & Infrastructure: Familiarity with major cloud providers (AWS, Azure, GCP) and containerization/orchestration tools (Docker, Kubernetes).
  • Leadership & Strategy: Exceptional communication and analytical skills to bridge the gap between technical teams and business stakeholders.

Excellent verbal communication skills

Good problem-solving skill

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