The Role
Lead design and delivery of enterprise GenAI applications using Python. Architect and implement RAG, Text-to-SQL, semantic and vector search solutions, integrate LLMs, build scalable data pipelines, manage embeddings/vector stores, ensure monitoring with Grafana, drive code quality, mentor engineers, and collaborate with stakeholders to deliver secure, production-ready AI systems.
Summary Generated by Built In
Project Role : Custom Software Engineering Lead
Project Role Description : Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.
Must have skills : Python (Programming Language)
Good to have skills : AI & Data Solution Architecture
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
Seeking a highly experienced Python + AI-GenAI Application Lead with Python development and AI-GenAI experience. The ideal candidate should have strong practical expertise in designing and delivering enterprise-grade GenAI applications, RAG solutions, Agentic AI workflows, Vector Search platforms, and scalable data processing systems. The role requires a technical leader who can drive architecture, mentor teams, and lead end-to-end solution delivery.
Experience
5+ years of hands-on Python development experience
2+ years of AI-GenAI-RAG and LLM application development
Roles & Responsibilities
Lead the design and development of AI-powered enterprise applications using Python.
Build and deploy GenAI applications with natural language interfaces.
Design and optimize RAG, Text-to-SQL, Semantic Search, and Agentic AI solutions.
Integrate and orchestrate LLMs from OpenAI, Gemini, Anthropic, and similar platforms.
Design and implement scalable data ingestion and processing pipelines.
Develop and manage embeddings, vector stores, and retrieval frameworks.
Establish monitoring, observability, and performance dashboards using Grafana.
Drive technical design decisions, code reviews, mentoring, and best practices.
Collaborate with stakeholders to deliver scalable and secure AI solutions.
Must Have Skills:-
Python & Backend
5+ years of hands-on Python development experience
Python, OOPs, Design Patterns, Unit Testing
FastAPI, Flask, Django REST Framework
SQL, Data Modeling, Shell Scripting
Pandas, NumPy, DataFrames
Authentication & Authorization (JWT-OAuth-SSO)
Performance Tuning & Code Optimization
AI - GenAI (Mandatory)
2+ years of hands-on AI-GenAI application development experience
LLM Integration (OpenAI, Gemini, Anthropic, or similar)
GenAI Tooling and Natural Language Interface Development
Agentic AI Workflows
RAG (Retrieval Augmented Generation) Development & Optimization
Text-to-SQL Solutions
LangChain, LangGraph, Sentence Transformers
Hugging Face Transformers
Vector Search & Semantic Search
Embedding Models (OpenAI, BERT, or similar)
Vector Databases (FAISS, Qdrant, Weaviate, or similar)
Create and manage Embeddings and Vector Stores
Design and implement efficient Data Ingestion & Processing Pipelines
Grafana Monitoring & Observability
DevOps & Delivery
Git, CI-CD
Enterprise Application Development
Solution Architecture & Technical Leadership
Good to Have
Azure OpenAI, AWS Bedrock
LlamaIndex, MCP
Docker, Kubernetes
AWS - Azure Cloud
Microservices Architecture
Additional Requirements
Strong hands-on coding experience is mandatory.
Must be capable of leading a small team and driving technical decisions.
Strong problem-solving and debugging skills.
Experience building production-ready AI-GenAI solutions.
Excellent communication and stakeholder management skills.
15 years full time education
Project Role Description : Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.
Must have skills : Python (Programming Language)
Good to have skills : AI & Data Solution Architecture
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
Seeking a highly experienced Python + AI-GenAI Application Lead with Python development and AI-GenAI experience. The ideal candidate should have strong practical expertise in designing and delivering enterprise-grade GenAI applications, RAG solutions, Agentic AI workflows, Vector Search platforms, and scalable data processing systems. The role requires a technical leader who can drive architecture, mentor teams, and lead end-to-end solution delivery.
Experience
5+ years of hands-on Python development experience
2+ years of AI-GenAI-RAG and LLM application development
Roles & Responsibilities
Lead the design and development of AI-powered enterprise applications using Python.
Build and deploy GenAI applications with natural language interfaces.
Design and optimize RAG, Text-to-SQL, Semantic Search, and Agentic AI solutions.
Integrate and orchestrate LLMs from OpenAI, Gemini, Anthropic, and similar platforms.
Design and implement scalable data ingestion and processing pipelines.
Develop and manage embeddings, vector stores, and retrieval frameworks.
Establish monitoring, observability, and performance dashboards using Grafana.
Drive technical design decisions, code reviews, mentoring, and best practices.
Collaborate with stakeholders to deliver scalable and secure AI solutions.
Must Have Skills:-
Python & Backend
5+ years of hands-on Python development experience
Python, OOPs, Design Patterns, Unit Testing
FastAPI, Flask, Django REST Framework
SQL, Data Modeling, Shell Scripting
Pandas, NumPy, DataFrames
Authentication & Authorization (JWT-OAuth-SSO)
Performance Tuning & Code Optimization
AI - GenAI (Mandatory)
2+ years of hands-on AI-GenAI application development experience
LLM Integration (OpenAI, Gemini, Anthropic, or similar)
GenAI Tooling and Natural Language Interface Development
Agentic AI Workflows
RAG (Retrieval Augmented Generation) Development & Optimization
Text-to-SQL Solutions
LangChain, LangGraph, Sentence Transformers
Hugging Face Transformers
Vector Search & Semantic Search
Embedding Models (OpenAI, BERT, or similar)
Vector Databases (FAISS, Qdrant, Weaviate, or similar)
Create and manage Embeddings and Vector Stores
Design and implement efficient Data Ingestion & Processing Pipelines
Grafana Monitoring & Observability
DevOps & Delivery
Git, CI-CD
Enterprise Application Development
Solution Architecture & Technical Leadership
Good to Have
Azure OpenAI, AWS Bedrock
LlamaIndex, MCP
Docker, Kubernetes
AWS - Azure Cloud
Microservices Architecture
Additional Requirements
Strong hands-on coding experience is mandatory.
Must be capable of leading a small team and driving technical decisions.
Strong problem-solving and debugging skills.
Experience building production-ready AI-GenAI solutions.
Excellent communication and stakeholder management skills.
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
- 5+ years hands-on Python development experience
- 2+ years AI-GenAI application development experience
- Python (OOP, Design Patterns, Unit Testing)
- FastAPI, Flask, or Django REST Framework
- SQL and Data Modeling
- Shell scripting
- Pandas and NumPy (data processing)
- Authentication & Authorization (JWT, OAuth, SSO)
- Performance tuning and code optimization
- LLM integration (OpenAI, Gemini, Anthropic or similar)
- RAG (Retrieval Augmented Generation) development and optimization
- Text-to-SQL solutions
- LangChain, LangGraph, or similar orchestration tooling
- Sentence Transformers / Hugging Face Transformers
- Vector search and semantic search expertise
- Experience with embedding models (OpenAI embeddings, BERT, or similar)
- Experience with vector databases (FAISS, Qdrant, Weaviate or similar)
- Design and implement scalable data ingestion and processing pipelines
- Grafana monitoring and observability
- Git and CI-CD
- Solution architecture and technical leadership, ability to lead a small team
- Strong hands-on coding, problem-solving and debugging skills
- 15 years full time education
- Azure OpenAI
- AWS Bedrock
- LlamaIndex, MCP
- Docker and Kubernetes
- Experience with AWS or Azure cloud
- Microservices architecture
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.
-
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.
-
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.
-
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.
Accenture Insights
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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.
