Jobs
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 12 year(s) of experience is required
Educational Qualification: 15 years full time education
Job Title: Senior AI Agent Architect (Agentic AI, LLMs, Python & Cloud Modernization)
Position Overview:
We are looking for a highly experienced Senior Python Full Stack Developer with an AI-first mindset and strong hands-on expertise in Agentic AI and Large Language Model (LLM)–based solutions.
The ideal candidate will have deep Python development experience along with proven exposure to LLM models, agent architectures, RAG implementations, and vector databases.
This role is suited for a senior technologist who can contribute through hands-on coding, AI solution design, and technical leadership, particularly in cloud modernization initiatives leveraging Cursor AI, Vertex AI, and Amazon Bedrock.
Key Responsibilities:
Design, develop, and maintain Python full stack applications with clean, scalable, and maintainable code.
Build and enhance AI-powered applications using Agentic AI frameworks on Python, Java, or.NET. Design and implement agent-based architectures, including agent orchestration, tool usage, memory, and reasoning workflows. Implement LLM-driven solutions using leading foundation models and prompt engineering best practices.
Design and deploy Retrieval-Augmented Generation (RAG) pipelines using vector databases for contextual and semantic search.
Lead and contribute to cloud modernization projects leveraging LLMs and AI-native architectures.
Develop and integrate RESTful APIs, microservices, and event-driven components. Build and deploy AI agents using Cursor AI, Vertex AI, and Amazon Bedrock.
Implement MCP Servers and agent communication patterns where applicable. 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 engineers.
Required Skills & Experience:
Primary Skills 15+ years of hands-on Python development experience. Strong expertise in Python Full Stack development, including backend services and API development.
Solid understanding of application architecture, design patterns, and scalable system design. Agentic AI & LLM Technologies Minimum 3 years of hands-on experience with 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 implementing RAG (Retrieval-Augmented Generation) solutions.
Experience working with vector databases for embeddings and semantic search.
Cloud & AI Platforms Proven experience in LLM- and AI-based cloud modernization projects.
Hands-on experience
Cursor AI Vertex AI (agents, pipelines, LLM integration) Amazon Bedrock (foundation models, agents, orchestration) Experience working in multi-cloud environments (AWS, Google Cloud Azure is a plus).
Integration & Architecture Experience building REST APIs, microservices, and event-driven integrations.
Exposure to AI workflow orchestration and agent communication frameworks (including MCP Servers).
Good to Have Experience with Java or .NET alongside Python. Familiarity with Azure OpenAI Assistants. Experience with Docker and Kubernetes for containerized deployments.
Exposure to DevOps and CI/CD pipelines. Experience working in Agile / Scrum environments. Knowledge of AI evaluation, monitoring, and responsible AI practices.
Soft Skills Strong analytical and problem-solving skills.
Excellent communication and cross-team collaboration abilities.
Ability to work independently while providing technical mentorship to 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.
Cloud or AI certifications (AWS, or Agentic/ Generative AI certifications) are a plus.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
PublicLet there be change.
10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
4.0
75%
Recommend to a Friend
Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Business Operations L2
0 reports
$55,250
total / year
Base
$22,100
Stock
$27,625
Bonus
$5,525
$38,675
$71,825
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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