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Custom Software Engineering Lead

Accenture Federal Services
Location not specified
Full-time
AI tools:
OpenAI
Gemini
Anthropic
LangChain
LangGraph
Hugging Face
Azure OpenAI
AWS Bedrock
You apply on Accenture Federal Services's own careers site

This technical lead designs and delivers enterprise AI applications using Python, including RAG, semantic search, and agentic workflows. You’ll guide architecture and implementation, mentor a small team, and build production-ready solutions with scalable data pipelines and monitoring.

Full-time
On-site
5+ years
15 years of full-time education

Skills & Expertise

Python
RAG
LLM integration
Agentic AI workflows
LangChain
LangGraph
Vector search
FastAPI

Key Responsibilities

Lead design and development of enterprise AI applications and natural-language interfaces.

Build and optimize RAG, Text-to-SQL, semantic search, and agentic AI solutions.

Guide technical decisions, code reviews, mentoring, and production delivery.

Full Description

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

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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