Agentic AI Engineer - Production-Grade LLM Apps Architect

Tata Consultancy Services Limited; Phoenix (AZ); On-site; USD 100,000 - 120,000; Full time

Job summary

Tata Consultancy Services is hiring an Agentic AI Engineer / Forward Deployed AI Engineer in Phoenix to design, develop, and deploy AI-powered applications using LLMs for real-world business challenges. You will build intelligent agentic systems, not train foundation models, and collaborate with stakeholders to deliver reusable AI capabilities that automate tasks.

The role emphasizes prompt engineering, RAG orchestration, scalable AI services, and production-ready deployments with strong focus

Qualifications

• Experience building enterprise AI applications using OpenAI, Anthropic, Gemini, or similar LLMs.
• Hands-on experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, or comparable frameworks.
• Experience deploying production-grade AI agents and RAG solutions.
• Knowledge of AI observability, evaluation, and monitoring tools.
• Experience implementing secure, governed, and scalable AI solutions.

Responsibilities

• We are seeking an innovative Agentic AI Engineer / Forward Deployed AI Engineer to design, develop, and deploy AI-powered applications that leverage Large Language Models (LLMs) to solve real-world business challenges.
• The ideal candidate will have expertise in AI application development, prompt engineering, retrieval-augmented generation (RAG), orchestration frameworks, and scalable AI services.
• You will work closely with business stakeholders and engineering teams to deliver reusable AI capabilities that automate repetitive tasks and enhance operational efficiency.
• Design and develop autonomous AI agent workflows capable of executing multi-step business processes.
• Build AI systems around foundation models without requiring model training or pre-training.
• Develop advanced prompt engineering and context engineering strategies to improve AI performance and reliability.
• Implement tool use, function calling, and API integrations for AI agents.
• Build agent orchestration using frameworks such as LangGraph, agent loops, planners, and multi-agent architectures.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Partner with business stakeholders to identify AI use cases and rapidly develop production-ready AI applications.
• Design, develop, and deploy AI-powered applications using modern LLM frameworks.
• Build scalable RAG pipelines for enterprise knowledge retrieval.
• Optimize prompts, workflows, and evaluation frameworks to improve AI solution quality.
• Develop reusable AI services, APIs, and components that can be leveraged across multiple teams.
• Integrate AI solutions with enterprise systems, data sources, and business applications.
• Support deployment, monitoring, and continuous improvement of AI applications in production.

Skills

Enterprise AI applications

LLM frameworks

AI agents & RAG

AI observability & monitoring

Secure & scalable AI

Problem solving

System design

Communication & stakeholder mgmt

Cross-functional collaboration

Continuous learning

Tools

LangGraph

LangChain

LlamaIndex

Semantic Kernel

Job description

Tata Consultancy Services is hiring an Agentic AI Engineer / Forward Deployed AI Engineer in Phoenix to design, develop, and deploy AI-powered applications using LLMs for real-world business challenges. You will build intelligent agentic systems, not train foundation models, and collaborate with stakeholders to deliver reusable AI capabilities that automate tasks.

The role emphasizes prompt engineering, RAG orchestration, scalable AI services, and production-ready deployments with strong focus