The Role
Design, develop, test, and maintain production-ready Generative AI and Agentic AI solutions using Python. Build AI agents, agentic workflows, RAG applications, LLM integrations, APIs, and enterprise tools. Create and review technical designs, conduct code reviews, troubleshoot complex issues, mentor developers, and ensure scalability, security, performance, quality, and production readiness.
Summary Generated by Built In
Project Role : Application Support Engineer
Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are looking for a Senior Software Engineer with 5–8 years of software development experience and strong expertise in Python, Generative AI and Agentic AI. The role will focus on designing and developing production-ready AI solutions, creating technical designs, reviewing implementations and providing technical guidance to other developers.
Roles & Responsibilities:
1. Design, develop, test and maintain scalable GenAI and Agentic AI solutions using Python and appropriate AI frameworks and platforms.
2. Develop AI agents, agentic workflows, RAG solutions, tool integrations and LLM-powered applications integrated with APIs, enterprise systems, databases and knowledge sources.
3. Create and review technical designs covering application components, agent workflows, APIs, integrations, data flows and technology choices.
4. Conduct code and design reviews, provide technical guidance to developers, troubleshoot complex issues, and ensure quality, performance, security, maintainability and production readiness.
Professional & Technical Skills
1. Strong proficiency in Python with experience developing scalable, maintainable and production-quality applications, REST APIs and integrations.
2. Strong practical experience with GenAI/LLM application development, prompt engineering, context management, model selection, tokens, embeddings and tool/function calling.
3. Hands-on experience developing AI agents and agentic workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, Amazon Bedrock Agents or equivalent.
4. Strong understanding of RAG, embeddings, vector databases, semantic search and knowledge retrieval, with experience integrating LLMs and agents with enterprise applications and external tools.
5. Good understanding of software architecture, design patterns, scalability, performance, security, CI/CD, testing, logging and observability.
Additional Information:
1. Experience with MCP, multi-agent architectures, cloud GenAI services such as Amazon Bedrock/OpenAI/Anthropic/Azure OpenAI, AI evaluation, guardrails, Responsible AI and AI security is preferred.
2. Exposure to vector databases, Docker/Kubernetes, serverless/cloud deployment and production support is desirable.
3. Strong ability to create medium-complexity technical designs, evaluate technical alternatives, conduct code reviews and mentor junior/mid-level developers.
15 years full time education
Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are looking for a Senior Software Engineer with 5–8 years of software development experience and strong expertise in Python, Generative AI and Agentic AI. The role will focus on designing and developing production-ready AI solutions, creating technical designs, reviewing implementations and providing technical guidance to other developers.
Roles & Responsibilities:
1. Design, develop, test and maintain scalable GenAI and Agentic AI solutions using Python and appropriate AI frameworks and platforms.
2. Develop AI agents, agentic workflows, RAG solutions, tool integrations and LLM-powered applications integrated with APIs, enterprise systems, databases and knowledge sources.
3. Create and review technical designs covering application components, agent workflows, APIs, integrations, data flows and technology choices.
4. Conduct code and design reviews, provide technical guidance to developers, troubleshoot complex issues, and ensure quality, performance, security, maintainability and production readiness.
Professional & Technical Skills
1. Strong proficiency in Python with experience developing scalable, maintainable and production-quality applications, REST APIs and integrations.
2. Strong practical experience with GenAI/LLM application development, prompt engineering, context management, model selection, tokens, embeddings and tool/function calling.
3. Hands-on experience developing AI agents and agentic workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, Amazon Bedrock Agents or equivalent.
4. Strong understanding of RAG, embeddings, vector databases, semantic search and knowledge retrieval, with experience integrating LLMs and agents with enterprise applications and external tools.
5. Good understanding of software architecture, design patterns, scalability, performance, security, CI/CD, testing, logging and observability.
Additional Information:
1. Experience with MCP, multi-agent architectures, cloud GenAI services such as Amazon Bedrock/OpenAI/Anthropic/Azure OpenAI, AI evaluation, guardrails, Responsible AI and AI security is preferred.
2. Exposure to vector databases, Docker/Kubernetes, serverless/cloud deployment and production support is desirable.
3. Strong ability to create medium-complexity technical designs, evaluate technical alternatives, conduct code reviews and mentor junior/mid-level developers.
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.
Skills Required
- Minimum 3 years of professional experience
- 15 years of full-time education
- Strong proficiency in Python
- Experience developing scalable, maintainable, production-quality applications, REST APIs, and integrations
- Practical experience developing Generative AI and LLM applications
- Experience with prompt engineering, context management, model selection, tokens, embeddings, and tool or function calling
- Hands-on experience developing AI agents and agentic workflows
- Understanding of RAG, vector databases, semantic search, and knowledge retrieval
- Understanding of software architecture, design patterns, scalability, performance, security, CI/CD, testing, logging, and observability
- Experience with MCP, multi-agent architectures, cloud Generative AI services, AI evaluation, guardrails, Responsible AI, or AI security
- Exposure to vector databases, Docker, Kubernetes, serverless or cloud deployment, and production support
- Ability to create technical designs, evaluate alternatives, conduct code reviews, and mentor junior or mid-level developers
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
