Senior GenAI Developer

Accenture•Charlotte, NC

7d•$50 - $60•Onsite

About The Position

Accenture Flex is hiring a Senior GenAI Developer for fixed-duration, project-based work. The role develops production-ready applications and systems using artificial intelligence tools, cloud AI services, and generative AI models. The position requires expert Agentic Design proficiency and involves technical leadership, collaboration across teams, and responsibility for team decisions. The role is onsite with the client up to four days per week in Charlotte, North Carolina; Plano, Texas; or Jersey City, New Jersey. The client also requires five days away per quarter. The developer will build GenAI applications on the FLARE platform, conversational AI solutions, document intelligence and automation workflows, and RAG and knowledge-base capabilities. The role also develops multi-agent workflows and enterprise integrations, builds platform services and deployment pipelines, and supports AI evaluation, governance, security, and production readiness. Accenture Flex employees work in their local metro area onsite at the project, reducing or eliminating travel demands. Accenture Flex offers competitive rewards, benefits programs, and learning resources. Compensation is listed as $50–$60 per hour in the locations specified in the posting. The posting is anticipated to remain open until 12/13/2026.

Requirements

At least 10 years of IT work experience.
At least 7 years of software development experience.
At least 3 years of hands-on experience with Python development, generative AI, and large language models.
Associate's degree.
Expert proficiency in Agentic Design.
Willingness to work onsite with the client up to four days per week in Charlotte, NC; Plano, TX; or Jersey City, NJ, and to be away five days per quarter.

Nice To Haves

Good communication and leadership skills.
Experience with RAG architectures, prompt engineering, embeddings and vector search, Agentic AI frameworks, LangChain or LangGraph, and enterprise AI platforms.
Banking and finance domain knowledge and experience, considered a strong advantage.
Expert proficiency in Python development and Retrieval-Augmented Generation is recommended.
Expert proficiency in LLM fine-tuning, along with advanced proficiency in AI agents, prompt engineering, and vector databases, is suggested.

Responsibilities

Design and develop GenAI applications leveraging FLARE platform capabilities.
Build conversational AI solutions using large language models.
Develop AI-powered automation for document intelligence, commentary generation, validation workflows, and business insights.
Apply prompt engineering, prompt orchestration, and context management techniques; optimize applications for accuracy, performance, scalability, and cost efficiency.
Develop RAG solutions using enterprise knowledge repositories, including document ingestion, chunking, metadata extraction, embedding generation, and retrieval pipelines.
Build and maintain business-domain knowledge bases, semantic search, and contextual retrieval capabilities; tune retrieval mechanisms to improve response quality.
Design and implement multi-agent workflows using frameworks such as LangGraph and MCP-based architectures.
Build agents for reasoning, tool selection, orchestration, and task execution, and integrate them with enterprise systems, databases, APIs, and business applications.
Develop reusable AI components and agent frameworks across FLARE use cases.
Integrate with Oracle databases, Starburst, S3 repositories, internal data services, and enterprise APIs; enable analysis of structured and unstructured data and build secure data pipelines.
Develop microservices and APIs supporting FLARE capabilities and scalable containerized applications on OpenShift.
Build automated deployment pipelines and CI/CD processes; improve reliability, observability, logging, and monitoring.
Collaborate with architects and platform engineers to enhance FLARE capabilities.
Develop AI solution testing frameworks and measure response quality using evaluation metrics and business validation criteria.
Support responsible AI practices, model governance, security, and compliance; participate in AI risk reviews and production readiness assessments.
Serve as a subject matter expert, collaborate with and manage the team, take responsibility for team decisions, engage multiple teams, contribute to key decisions, and solve problems within and across teams.
Work onsite with the client up to four days per week in Charlotte, NC; Plano, TX; or Jersey City, NJ, and meet the requirement to be away five days per quarter.