Director - Agentic AI Architect & Lead AI Designer

Mastercard

3 - 8 years

45 - 50 Lacs

gurugram

Posted:5 days ago| Platform:

Apply

Skills Required

agentic ai technical lead snowflake data fabric data pipelines react llm data engineering redis sql flink qa redshift kafka streams spark kafka digital payments bigquery

Work Mode

Work from Office

Job Type

Full Time

Job Description

Title and Summary

We are seeking a Director-Level Agentic AI Architect who sits at the intersection of massive-scale data engineering and advanced agentic intelligence
You will architect the data fabric, the real-time reasoning loops, and the distributed infrastructure required to run AI systems at scalefar beyond prompt engineering
This role begins as a hands-on Principal Architect/IC responsible for delivering Phase 0 (PoC) and Phase 1 (MVP)
After successful delivery, the role evolves into product engineering leadership, where you will hire and lead a high-impact cross-functional team (AI, Data, Backend, QA) to collaborate with engineering team to scale the platform
Core Responsibilities
1. Architecting the AI Operating System Design a multi-agent orchestration layer capable of intelligently routing intent across reasoning, extraction, and decision-making layers
Solve for state, memory, and continuitybuild long-running agent processes with episodic, semantic, and working memory so complex investigations never lose context
Lead the 0-1 technical execution, owning architecture, design, and implementation from PoC to MVP before the team scales
2. High-Velocity Data & Streaming Infrastructure Build the Data-for-AI backbone: petabyte-scale data pipelines that feed agents with real-time and historical context
Implement stateful streaming systems (Flink/Spark Streaming/Kafka Streams) enabling agents to react to events (fraud alerts, settlement breaks, operational exceptions) in milliseconds
Architect memory hierarchies:o Short-term (session/working context)o Long-term (knowledge base)o Episodic (state history)o Semantic/Vector memory (search + retrieval) Build high-velocity ingestion layers for PDFs, statements, logs, financial records, and large structured transaction datasets
Design a unified data access layer that blends OLTP lookups, OLAP analytics, and vector search into a single access pattern for agents
3. Agentic AI Engineering & Reasoning Logic Build an ecosystem of specialized agentsextraction agents, QA agents, reasoning agents, diagnostic agents, and decision agents
Define state machines and execution graphs to support multi-step reasoning patterns:o Chain-of-thoughto Task decompositiono Root-cause investigation Implement grounding, safety, and HITL controls, ensuring agents never hallucinate or generate unsafe operational decisions
4. FinOps, Performance & Security Build intelligent routing systems that balance accuracy vs cost across multiple LLMs
Design semantic caching, batching, trace compression, and selective memory persistence to reduce inference cost
Architect systems aligned with financial-grade security:o Query sandboxingo PII redactiono Role-based accesso Compliance with PCI-DSS and regulated-data controls
5. Leadership & Team Building (Post-MVP) Lead the transition from PoC - MVP, Production
Hire and manage a 10+ person product engineering team across AI, Data, Backend, and QA
Define engineering culture, operational practices, and the long-term roadmap to scale the platform globally

Must-Have Technical Skills

Agentic Frameworks: Deep expertise in LangGraph (preferred) or LangChain for building multi-agent, stateful orchestration
LLM Engineering:o Model routingo RAG-based groundingo Text-to-SQL generation for complex schemas Vector & Memory Systems:o Vector search (Pinecone / Weaviate / Vespa)o Semantic cachingo Conversation and working memory (Redis / custom memory stacks)
Data Engineering:o Strong SQL skills
Kafka pipelines & event streamingo Data warehouse integration (Snowflake / BigQuery / Redshift) Security & Guardrails:
Experience implementing safety layers, guardrails, and restricted tool execution in regulated environments
Architecture & Leadership Experience Years in Software/Data Engineering with 3+ years building AI/ML or LLM-based systems
Proven experience as the Technical Lead/Architect for at least one 01 enterprise AI product
Hands-on experience in FinTech / Banking / Payments, ideally involving settlement, disputes, or reconciliation systems
Demonstrated ability to optimize cloud compute, manage LLM token costs, and architect scalable inference workloads
Strong ability to evaluate Build vs
Buy, design abstraction layers, and enforce architectural governance
Preferred Qualifications
Experience with PCI-DSS, PII tokenization, or regulated data frameworks
Hands-on experience with OpenTelemetry, Datadog, or similar tools for LLM/agent observability
Experience designing Human-in-the-Loop systems for high-stakes decision-making
Ability to work with distributed engineering teams in multiple time zones

More Jobs at Mastercard

Senior Analyst - Project Management

Pune

5 - 9 yrs

INR 13 - 18 Lacs

Sr. Principal Software Engineer

Pune

9 - 13 yrs

INR 20 - 25 Lacs

Lead Software Engineer-R-245726

Vadodara, Gujarat, India

2 - 4 yrs

Salary: Not disclosed

Consultant-2

Gurugram, Haryana

Experience: Not specified

Salary: Not disclosed

Consultant-2

Gurugram, Haryana

Experience: Not specified

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Job-Specific Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.