AI Infrastructure Architect

• 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 7.5 year(s) of experience is required
• Educational Qualification : 15 years full time education

• Summary:
• We are seeking a highly skilled Senior Agentic AI Developer to design, architect, and deliver next-generation intelligent agent solutions powered by Large Language Models (LLMs). The ideal candidate will bring deep hands-on expertise in building agentic AI systems using LangChain and LangGraph, and deploying scalable, enterprise-grade solutions leveraging Azure OpenAI (GPT-5.0 and above). This role focuses on developing autonomous, reasoning-driven AI agents capable of solving complex business problems, orchestrating workflows, and driving intelligent automation at scale.

Key Roles and Responsibilities:

• 1. Solution Architecture & Design
• Architect end-to-end Agentic AI solutions using modern frameworks such as LangChain and LangGraph.
• Design multi-agent systems with capabilities like reasoning, planning, memory, and tool orchestration.
• Define scalable architectures for distributed agents aligned with enterprise needs and cloud best practices.
• Translate business problems into AI-driven workflows and agent-based solutions.

• 2. Development & Implementation
• Build and deploy intelligent agents using Azure OpenAI services and advanced GPT models.
• Develop stateful, multi-step agent workflows leveraging LangGraph constructs such as nodes, edges, and shared state.
• Implement RAG (Retrieval-Augmented Generation), tool integrations, and external API orchestration.
• Create reusable agent components, prompt templates, and orchestration pipelines.

• 3. LLM & Agent Optimization
• Fine-tune prompts, workflows, and agent decision-making loops (ReAct, planning agents, etc.).
• Optimize performance, latency, cost, and response quality of LLM-based systems.
• Implement memory management (short-term, long-term, vector-based).

• 4. Enterprise Integration & Deployment
• Integrate agents into enterprise ecosystems (APIs, databases, enterprise apps).
• Deploy solutions on Azure cloud, ensuring scalability, security, and reliability.
• Work with DevOps teams for CI/CD pipelines, monitoring, and observability.

• 5. Governance, Security & Responsible AI
• Ensure compliance with Responsible AI, data privacy, and security standards.
• Implement guardrails, validation layers, and safe AI practices.
• Participate in design reviews and risk assessments.

• 6. Collaboration & Leadership
• Collaborate with cross-functional teams (Product, QA, DevOps, Business).
• Mentor junior developers and contribute to best practices and reusable frameworks.
• Drive innovation through POCs, accelerators, and reusable assets.

Required Skills & Experience:

• Core Technical Skills
• Strong hands-on experience with:
• o LangChain & LangGraph for agent orchestration
• o Azure OpenAI (GPT-5.0 or higher) and LLM-based application development
• Deep understanding of:
• o Agentic AI concepts: reasoning, planning, autonomy, tool usage
• o Multi-agent systems and orchestration
• Proficiency in:
• o Python (must-have)
• o API development (FastAPI/REST)
• o Data integration and pipelines

• AI/ML & LLM Expertise
• Experience with:
• o Prompt engineering and few-shot learning
• o RAG pipelines, embeddings, and vector databases
• o Knowledge graphs and contextual AI systems
• Understanding of LLM evaluation, tuning, and monitoring.

• Cloud & DevOps
• Hands-on experience with:
• o Azure AI services, Azure OpenAI, AI Foundry
• o CI/CD pipelines, containerization (Docker/Kubernetes preferred)
• o Monitoring tools (App Insights, Log Analytics)

• Additional Information:
• - The candidate should have minimum 7.5 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

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