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Senior Python Developer and AI Agent Architect

Accenture India Private Limited

Hyderabad

Not disclosed

Work from Office

Full Time

Min. 5 years

Job Details

Job Description

Industry Subject Matter Advisor

Project Role : Industry Subject Matter Advisor
Project Role Description : Work closely with client project teams to provide expertise (functional, technical, industry, tools/methods) to ensure successful solution design and delivery.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Job Title: Senior Python developer + AI Agent Architect (Agentic AI, LLMs, Cloud Modernization)

Position Overview
We are seeking a highly experienced Senior Python Developer with strong Agentic AI expertise to design, develop, and deliver intelligent, AI-driven enterprise applications. The ideal candidate will have deep hands-on experience in Python full stack development along with proven capability in building AI agents using LLMs and agent-based architectures. This role is suited for a senior technologist who can actively code, design AI agent solutions, and contribute to cloud-based AI and application modernization initiatives using platforms such as Cursor AI, Vertex AI, and Amazon Bedrock on AWS.

Key Responsibilities
Design, develop, and maintain Python-based full stack applications with high standards of code quality, scalability, and performance.
Design and implement AI agents using Agentic AI frameworks on Python, Java, or.NET. Architect and build agent-based systems, including agent orchestration, tool usage, memory management, and reasoning workflows. Implement LLM-driven solutions using foundation models with effective prompt engineering and evaluation techniques.
Build end-to-end AI agent workflows, including planning, execution, and feedback loops.
Develop and deploy AI agents using Cursor AI, Vertex AI Agents, and Amazon Bedrock Agents (AWS).
Integrate AWS-based AI services and assistants into enterprise applications. Develop and integrate RESTful APIs, microservices, and event-driven components.
Implement workflow management and orchestration for AI-driven systems. Collaborate with architects, DevOps, and platform teams to deliver secure, scalable, and high-performing solutions.
Support containerized deployments and CI/CD pipelines for AI and application workloads. Participate in Agile ceremonies and mentor junior developers and AI engineers.

Required Skills & Experience
Primary Skills 10+ years of hands-on Python development experience. Strong expertise in Python Full Stack development, including backend services, APIs, and integrations.
Solid understanding of application architecture, design patterns, and scalable system design.
Agentic AI & LLM Skills Minimum 3 years of hands-on experience building Agentic AI solutions.
Strong experience working with LLM models and prompt engineering techniques.
Proven expertise in agent architecture, agent workflows, and multi-agent systems.
Hands-on experience in how to build AI agents, including tool calling, memory, and reasoning patterns.
AI Platforms & Tools Hands-on experience with: Cursor AI Vertex AI Agents Amazon Bedrock Agents (AWS) Experience with workflow management and orchestration for AI-driven systems.
Integration & Architecture Experience building REST APIs, microservices, and event-driven integrations.
Ability to integrate AI agents into existing enterprise applications. Good to Have Experience with Java or .NET alongside Python.
Exposure to AWS-native services and cloud architecture. Experience with Docker and Kubernetes.
Familiarity with DevOps and CI/CD pipelines.
Experience working in Agile / Scrum environments.
Knowledge of AI governance, evaluation, and responsible AI practices.

Soft Skills Strong analytical and problem-solving skills.
Excellent communication and cross-team collaboration abilities.
Ability to work independently and mentor junior team members.
Comfortable working in fast-paced, enterprise and innovation-driven environments.

Education & Certifications
Bachelor s or master s degree in computer science, Engineering, or a related field.
AWS Cloud or Agentic/ Generative AI certifications are a plus.