Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:
As an AI Infrastructure Architect, responsible for an enterprise level Gen AI solution will be responsible for defining and evolving the end-to-end architecture of the enterprise AI platform. The role drives platform strategy, application architecture, AI/LLM integration, agentic workflows, data architecture, security, scalability, and production engineering while ensuring alignment with enterprise standards and regulatory requirements. The architect will serve as the technical authority for the AI ecosystem that this application covers, including Knowledge Bases, RAG solutions, Agent Frameworks, MCP integrations, document intelligence, structured data intelligence, model orchestration, and platform modernization initiatives.
Architecture Leadership
- Own the target-state architecture and technical roadmap for the AI platform.
- Design scalable, resilient, and secure enterprise AI solutions.
- Define reference architectures, standards, patterns, and best practices.
- Lead architecture reviews, technology selection, and solution governance.
- Drive modernization initiatives across AI, cloud-native, and data platforms.
AI and Agentic Platform Design
- Design solutions leveraging LLMs, RAG, Agentic AI, MCP, vector databases, and knowledge management frameworks.
- Architect multi-agent workflows for document intelligence, commentary generation, validation automation, and data analysis.
- Define model integration strategies with enterprise AI services.
- Guide implementation of prompt management, evaluation frameworks, model governance, and AI observability.
Data and Knowledge Architecture
- Define architectures for structured and unstructured data ingestion.
- Design integrations with databases, Starburst, S3, FileNet, and enterprise knowledge repositories.
- Architect metadata generation, chunking, embeddings, vector storage, and retrieval strategies.
- Establish data quality, lineage, and governance standards.
Platform Engineering
- Lead architecture for OpenShift-based deployments and containerized workloads.
- Design scalable services utilizing Redis, Oracle, NetApp S3, and related infrastructure components.
- Establish high availability, disaster recovery, failover, and performance optimization strategies.
- Drive automation using CI/CD pipelines and infrastructure-as-code approaches.
Security, Risk, and Compliance
- Ensure compliance with enterprise security standards and AI governance requirements.
- Incorporate entitlement management and access-control frameworks.
- Partner with risk, audit, and compliance stakeholders during architecture reviews and approvals.
- Support model risk management and regulatory review activities.
Delivery and Leadership
- Provide technical leadership to architects, engineers, data scientists, and product teams.
- Partner with business stakeholders to translate strategic objectives into technical solutions.
- Mentor engineers and establish architecture excellence practices.
- Lead technology planning, capacity forecasting, and platform investment decisions.
Must be willing to be onsite up to 4 days per week onsite with the client in Charlotte, NC, Jersey City, NJ or Plano, TX. 5 days away per quarter is also required by the client.
Basic Qualifications:
- Minimum 10 years of software architecture and enterprise platform engineering experience.
- Minimum 5 Years of Python Development Experience
- Minimum 5 years designing AI ML, GenAI, or advanced analytics platforms.
- Associate's Degree
Preferred Qualifications:
- Good Communication and Leadership skillset
- Deep understanding of Generative AI and LLM architectures, Retrieval Augmented Generation RAG , Agentic AI frameworks LangGraph, LangChain, MCP, Vector databases and embeddings, Distributed systems and microservices, Cloud native architecture and OpenShift Kubernetes,
- Strong experience with Python, REST APIs, Oracle and enterprise data platforms, Redis and caching technologies, CI CD and DevSecOps practices
- Banking Finance domain knowledge and experience will be considered a strong advantage
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 12/13/2026.
Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here:
Accenture Flex Jobs
Role Location Hourly Salary Range California $50-$60/hr Colorado $50-$60/hr Connecticut $50-$60/hr District of Columbia $50-$60/hr Illinois $50-$60/hr Maine $50-$60/hr Maryland $50-$60/hr Massachusetts $50-$60/hr Minnesota $50-$60/hr New York $50-$60/hr New Jersey $50-$60/hr Ohio $50-$60/hr Virginia $50-$60/hr Washington $50-$60/hr
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