Manager - Software Development (Gen AI, ML, Python)

Sutherlandglobal (specialty -e)

10 - 16 years

12 - 22 Lacs

Hyderabad

Posted:1 week ago| Platform:

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Skills Required

Data Science Large Language Model Python Agentic Ai Generative Ai Natural Language Processing Aiml Machine Learning Deep Learning

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role & responsibilities

Lead the architecture, development, deployment and implementation of AI systems incorporating generative models and agentic AI workflows, utilizing at least one cloud platform (Azure or GCP).
Build and optimize GenAI applications, including chatbots, copilots and AI agents using Python.
Collaborate with product teams to integrate AI solutions into platforms and customer-facing applications.
Evaluate and select models (e.g. OpenAI, Gemini, LLaMA etc.) and orchestration tools (e.g., LangChain, AutoGen) best suited to solution needs.
Demonstrate proficiency in vector databases (e.g., FAISS, Pinecone etc.) and the design of RAG (Retrieval-Augmented Generation) pipelines.
Stay abreast of advancements in GenAI, multi-agent systems, vector search technologies and large-scale retrieval-augmented architectures.
Define and uphold best practices for AI governance, cost optimization and robust performance monitoring.
Conduct ongoing performance tuning, debugging and root-cause analysis to ensure reliability of AI models and applications.
Design and maintain comprehensive monitoring and logging systems for AI-powered solutions.
Collaborate with cross-functional teams including data scientists, ML engineers and software developers to seamlessly integrate AI across the product landscape.
Document technical specifications, system workflows and development best practices.

Preferred candidate profile

Extensive experience in AI implementation incorporating generative models and agentic AI workflows.
Solid understanding of machine learning techniques and algorithms.
Strong knowledge of data structures, algorithms, and software design principles.
Healthcare domain experience is preferred.

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