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Accenture
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AI / ML Engineer

AI / ML Engineer

Accenture

2 - 5 years

9 - 14 Lacs

bengaluru

Posted:4 days ago| Platform:

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Skills Required

python software architecture ai neural networks cloud ai research governance machine learning cloud infrastructure microservices deep learning docker image processing prototyping aws data governance testing

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role

Project Role :AI / ML Engineer

Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Machine Learning

Good to have skills :NA
Minimum 7.5 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:We are looking for an AI Architect with deep expertise in AI, Generative AI and Agentic systems. This role involves designing scalable architecture for LLM-powered agents and overseeing technical strategy for autonomous AI platforms.
Roles & Responsibilities:

Architect end-to-end agentic AI systems with modular, reusable components

Lead selection and integration of GenAI models, memory systems, and planning frameworks

Design scalable APIs, inference pipelines, and orchestration layers using tools like LangGraph, AutoGen or AWS Agent Squad.

Evaluate and implement best practices in multi-agent collaboration and tool-use strategies

Work with cloud infrastructure teams to ensure scalable and secure deployments

Drive research-to-production workflows including prototyping, testing, and performance tuning

Mentor engineering teams and define architectural standards and documentation
Professional & Technical Skills:

The candidate should have minimum 10 years of experience in software architecture or AI/ML systems, with 3–4 years in GenAI and agentic design

Deep understanding of LLMs, agent frameworks, RAG, and context management

Experience designing distributed, fault-tolerant systems and real-time AI applications on AWS environment from scratch.

Proficient in Python, microservices, cloud-native patterns (Docker, serverless)

Strong familiarity with GenAI tools (LangChain, Hugging Face, Bedrock, OpenAI APIs)

Knowledge of data governance, AI safety, and system observability

Leadership and mentoring capabilities across cross-functional teams

Strategic thinking and strong communication skills

Handle client communication, including articulating the solution to non-technical clients.
Additional Information:

Bachelor's or master's in computer science, AI/ML, or a related field; PhD preferred for advanced roles

This position is based at our Bengaluru office.

A 15 years full time education is required.
Qualification 15 years full time education

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AI / ML Engineer