About the Role
We are looking for experienced AI/ML Architects to join our AI Engineering service line. In this role, you will anchor the technical delivery of enterprise AI/Agentic AI projects post deal-closure. You will take over from solution architects and lead the design, build, deployment, and optimization of AI/ML systems — ensuring production-grade quality, scalability, and compliance. You will interface with cross-functional teams, manage engineering complexity, and ensure value realization for customers across industries such as BFSI, HLS, Manufacturing, CMT, Retail, and Energy.
Key Responsibilities
Architecture & Technical Leadership
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Own the end-to-end technical architecture and solution integrity during project delivery.
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Translate solution blueprints into detailed technical designs, backlog, and integration plans.
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Lead detailed design reviews, ensure alignment with AI platform, MLOps, and Agentic AI best practices.
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Select appropriate frameworks, APIs, libraries, and cloud-native services for implementation.
Project Execution & Delivery Oversight
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Serve as technical anchor for customer AI/ML and Agentic AI projects.
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Guide engineering teams on modular, secure, and reusable implementation strategies.
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Review and validate code, infrastructure scripts, and ML pipelines for quality, performance, and reliability.
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Oversee data pipelines, model training, LLMOps, and model deployment workflows.
Hands-on Engineering & Problem Solving
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Provide hands-on support for complex components: LLM pipelines, vector stores, fine-tuning, evaluations.
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Resolve system integration challenges across APIs, knowledge stores, and orchestration layers.
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Implement or validate MLOps workflows using MLflow, Airflow, Argo, KServe, BentoML, etc.
Quality, Compliance & Observability
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Embed observability, safety, and compliance into the AI/ML lifecycle.
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Integrate with AI governance platforms for model tracking, versioning, audits, and risk controls.
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Ensure alignment with

📌 AI Architect (Hyderabad)
🏢 Covasant Technologies
📍 Hyderabad