Agentic AI systems

TATA Consulting Services • New York, NY

34d

About The Position

Design, evaluate, and productionize agentic AI systems that autonomously or semi autonomously plan tasks, call internal/external tools, reason over structured & unstructured data, and deliver measurable business outcomes with reliability, safety, and auditability.

Requirements

• Design, evaluate, and productionize agentic AI systems that autonomously or semi autonomously plan tasks, call internal/external tools, reason over structured & unstructured data, and deliver measurable business outcomes with reliability, safety, and auditability.
• Agentic AI & LLM Engineering
• Architect tool using agents (function/tool calling, routing, planning, reflection/self critique, memory/state).
• Build multi agent workflows (specialist/reviewer/executor) using LangGraph, AutoGen, CrewAI or equivalent.
• Implement robust RAG (indexing/chunking, hybrid search, rerankers) with citation first outputs.
• Enforce guardrails (prompt/policy templates, PII redaction, allow/deny tool lists) and structured outputs (JSON/Pydantic).
• Develop classical and modern ML models (classification, regression, time series, anomaly detection, NLP).
• Perform feature engineering, model selection, error analysis, and combine symbolic rules with learned models where it improves reliability.
• Run offline/online experiments; own baselines, ablations, and causality/sensitivity checks where relevant.

Responsibilities

• Agentic AI & LLM Engineering
• Architect tool using agents (function/tool calling, routing, planning, reflection/self critique, memory/state).
• Build multi agent workflows (specialist/reviewer/executor) using LangGraph, AutoGen, CrewAI or equivalent.
• Implement robust RAG (indexing/chunking, hybrid search, rerankers) with citation first outputs.
• Enforce guardrails (prompt/policy templates, PII redaction, allow/deny tool lists) and structured outputs (JSON/Pydantic).
• Design, evaluate, and productionize agentic AI systems that autonomously or semi autonomously plan tasks, call internal/external tools, reason over structured & unstructured data, and deliver measurable business outcomes with reliability, safety, and auditability.
• Develop classical and modern ML models (classification, regression, time series, anomaly detection, NLP).
• Perform feature engineering, model selection, error analysis, and combine symbolic rules with learned models where it improves reliability.
• Run offline/online experiments; own baselines, ablations, and causality/sensitivity checks where relevant.

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.

What This Job Offers

• Job Type: Full-time
• Industry: Professional, Scientific, and Technical Services
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees