AI Infrastructure Architect

Reposted 3 Hours Ago
Be an Early Applicant
4 Locations
In-Office
Mid level
Information Technology
The Role
Develop and deploy agentic AI solutions using Python, LangChain, LangGraph, and Azure OpenAI. Build agent workflows, RAG pipelines, tool integrations, memory handling, and enterprise API connections. Optimize prompts, latency, performance, and response quality while supporting Azure deployments, testing, monitoring, security, and responsible AI practices. Collaborate with architects, developers, QA, business analysts, and DevOps teams, and contribute to documentation and continuous learning.
Summary Generated by Built In
Project Role : AI Infrastructure Architect
Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : Microsoft Azure OpenAI Service
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 skilled Agentic AI Developer with hands-on experience in building intelligent agents using LangChain and LangGraph, and deploying solutions leveraging Azure OpenAI (GPT-5.0 and above). In this role, you will primarily focus on developing, integrating, and optimizing agentic AI solutions, working closely with architects and senior team members to deliver scalable and high-quality AI-driven applications.
Key Role and Responsibilities:
1. Development & Implementation
Develop intelligent agents using LangChain, LangGraph, and Azure OpenAI services.
Implement agent workflows, tool integrations, and multi-step reasoning pipelines.
Build and maintain stateful agent flows using LangGraph constructs (nodes, edges, shared state).
Contribute to development of RAG pipelines, prompt templates, and reusable components.
2. Solution Contribution
Collaborate with senior developers/architects to implement agentic AI solution designs.
Translate functional requirements into working AI agent modules and workflows.
Support enhancements and feature development for existing agentic solutions.
3. LLM Integration & Optimization
Work on prompt engineering, response tuning, and workflow improvements.
Assist in optimizing performance, latency, and response quality of LLM-based applications.
Implement basic memory handling and context management in agents.
4. Integration & Deployment
Integrate AI agents with enterprise systems, APIs, and data sources.
Support deployment of solutions on Azure cloud environments.
Work with DevOps teams for build, deployment, and monitoring support.
5. Quality, Security & Compliance
Follow best practices for Responsible AI, security, and data privacy.
Participate in testing, debugging, and validation of AI solutions.
Ensure adherence to coding standards and enterprise guidelines.
6. Collaboration & Learning
Work closely with cross-functional teams (QA, Dev, BA, DevOps).
Actively upskill on Agentic AI frameworks, LLM advancements, and Azure AI services.
Contribute to documentation and knowledge sharing.
Required Skills & Experience:
Core Technical Skills
Hands-on experience with:
o LangChain and LangGraph
o Azure OpenAI (GPT-5.0 or higher)
Good understanding of:
o Agentic AI concepts (reasoning, tool usage, workflows)
o Multi-agent and orchestration basics
Programming & Development
Strong proficiency in:
o Python (mandatory)
o API development (REST/FastAPI preferred)
Experience in building LLM-based applications
AI/LLM Knowledge
Familiarity with:
o Prompt engineering
o RAG concepts and vector databases
o Basic understanding of LLM evaluation and tuning
Cloud & Tools
Exposure to:
o Azure AI services / Azure OpenAI / AI Foundry
o CI/CD pipelines and cloud deployments
Basic understanding of logging/monitoring tools
Additional Information:
- The candidate should have minimum 3 years of experience in Microsoft Azure OpenAI Service.
- This position is based at multiple locations.
- A 15 years full time education is required.

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 experience with Microsoft Azure OpenAI Service
  • Minimum 3 years of professional experience
  • 15 years of full-time education
  • Hands-on experience with LangChain and LangGraph
  • Hands-on experience with Azure OpenAI, GPT-5.0 or higher
  • Strong proficiency in Python
  • Experience building LLM-based applications
  • Understanding of agentic AI concepts, multi-agent systems, and orchestration
  • Experience with API development; FastAPI preferred
  • Familiarity with prompt engineering, RAG, vector databases, LLM evaluation, and tuning
  • Exposure to Azure AI services, Azure OpenAI, and Azure AI Foundry
  • Exposure to CI/CD pipelines and cloud deployments
  • Basic understanding of logging and monitoring tools

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.

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The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

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.

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