Agentic AI Engineer / Developer

Senior Agentic AI Engineer/Developer at Tata Consultancy Services in Charlotte, NC, focusing on designing and deploying agentic AI workflows that leverage large language models, tools, memory, and orchestration frameworks while ensuring scalability, observability, and safety in enterprise environments.

Responsibilities

• Lead design and implementation of agentic AI architectures using LLMs, multi-agent orchestration, and modern AI frameworks to deliver scalable, reliable solutions.
• Create end-to-end agentic workflows that integrate LLMs, tool interfaces, memory modules, and orchestration patterns.
• Build multi-step reasoning pipelines with guardrails, retry logic, and fallback strategies to ensure resilience.
• Integrate agents with enterprise systems such as APIs, databases, ticketing platforms, knowledge bases, and messaging tools.
• Develop prompt templates, tool schemas, and context management patterns for dependable task execution.
• Establish observability for agent runs, including traces, latency, token usage, cost, and failure analytics.
• Enforce safety controls including policy checks, output validation, and human-in-the-loop approvals where appropriate.
• Optimize agent performance via evaluation sets, benchmark scenarios, and continuous tuning.
• Assemble modular components for planner-executor patterns, retrieval, and decision routing to support scalable systems.
• Harden production deployments with authentication, authorization, and secure secret handling.
• Troubleshoot hallucinations, tool misuse, and context-window issues through systematic diagnostics.
• Collaborate with product and operations teams to translate business workflows into automatable agent tasks.
• Maintain comprehensive developer documentation and best practices for scalable agent systems.
• Apply LLM concepts including embeddings, tokenization, and context windows, plus evaluation techniques and safety guardrails.

Requirements

• 10+ years hands-on experience with LLMs, multi-agent orchestration, and AI frameworks to deliver scalable, reliable agentic solutions.
• Design and implement agentic AI workflows using LLMs, tools, memory, and orchestration frameworks.
• Build multi-step reasoning pipelines with guardrails, retry logic, and fallback strategies.
• Integrate agents with enterprise systems (APIs, databases, ticketing, knowledge bases, and messaging tools).
• Develop prompt templates, tool schemas, and context management patterns for reliable task execution.
• Establish observability for agent runs: traces, latency, token usage, cost, and failure analytics.
• Implement safety controls including policy checks, output validation, and human-in-the-loop approvals.
• Optimize agent performance through eval sets, benchmark scenarios, and continuous tuning.
• Build modular components for planner-executor patterns, retrieval, and decision routing.
• Harden production deployments with authentication, authorization, and secure secret handling.
• Troubleshoot hallucinations, tool misuse, and context-window issues using systematic diagnostics.
• Collaborate with product and operations teams to convert business workflows into automatable agent tasks.
• Maintain developer documentation and best practices for scalable, maintainable agent systems.
• Experience with LLMs and fine-tuning concepts; knowledge of embeddings, tokenization, and context windows.
• Evaluation techniques for agent performance.
• Understanding of AI safety, hallucination mitigation, and guardrails.

Benefits

• Discretionary annual incentive.
• Comprehensive medical coverage including medical, dental, vision, disability, and pet insurance plans.
• Maternal and parental leaves to support family needs.
• Auto and home insurance options plus identity theft protection.
• Commuter benefits and reimbursement for certification and training opportunities.
• Paid time off including vacation, personal time off, sick leave, and holidays.
• Legal assistance, 401K plan, performance bonus, college fund, and student loan refinancing options.

Generic Managerial Skills

• Proactive, results-oriented leadership capable of mentoring and motivating a dynamic team toward high performance.
• Strong communication, collaboration, and team-building abilities with quick assimilation of new technical concepts.