Agentic AI Engineer / Developer

Location: Charlotte, NC Job Function: TECHNOLOGY Role: Technical Architect Job ID: 412659 Salary Range: $110,000-$125,000 per year Desired Experience: 10-15 years Desired Skills: Agile Responsibilities and Technical/Functional Skills Agentic AI workflows using LLMs, tools, memory, and orchestration frameworks, Agile concepts, CI/CD 10+ years hands‑on experience with LLMs, multi‑agent orchestration, and AI frameworks to create 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, context windows. Evaluation techniques for agent performance. Understanding of AI safety, hallucination mitigation, and guardrails. Generic Managerial Skills Proactive and result‑oriented leader, adept in mentoring and motivating the dynamic team to exemplary performance. Strong communication, collaboration, and team building skills with proficiency in grasping new technical concepts quickly. Employee Benefits Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Desired Candidate Profile Qualifications: Bachelor of Computer Science #J-18808-Ljbffr Tata Consultancy Services