Responsibilities Direct Responsibilities 1.

- Lead technical delivery of AI agents and MVPs for cross-functional business units — IT ops, compliance, risk, business lines — within the group's established agentic framework

2.

- Contribute to and extend the shared agentic framework: propose improvements, develop reusable components, document patterns for group-wide adoption

3.

- Drive pure innovation work in parallel: prototype emerging approaches (LightRAG, TigerRAG, graph-based RAG, advanced MCP patterns) and evaluate their production potential

4.

- Design agentic workflows using LangChain, LangGraph, and LangServe — multi-agent reasoning, tool-calling, stateful orchestration, API/microservice exposure

5.

- Build production assistants on real infra datasets: incident investigation, RCA, change analysis, CMDB querying, run assistance, documentation search

6.

- Implement and enforce guardrails: hallucination control, access control, secrets management, output validation, sensitive data handling

7.

- Own end-to-end observability via LangSmith: prompt tracing, tool call monitoring, evaluation datasets, performance alerting Contributing Responsibilities 1.
- Coordinate technically across Paris, Mumbai, and group entities — architecture reviews, cross-regional ceremonies, async collaboration

2.

- Provide technical leadership and mentorship to the Mumbai engineering team

3.

- Deploy and operate POC environments on cloud-native and containerized platforms (Docker, Kubernetes, Helm, GitOps, ArgoCD, GitLab CI/CD)

4.





- Formalize architecture patterns and contribute to industrialization specs for build teams across the group Technical & Behavioral Competencies Technical Skills: o LightRAG, TigerRAG, or graph-based retrieval experience o Contribute to a live agentic framework used across a CAC 40-tier banking group o MCP server design and connector architecture o Go or TypeScript alongside Python o CI/CD & GIT Ops (Expert) o Observability (Intermediate) Transversal skills: o Knowledge of DPDP Act (India) and/or GDPR o Cross-functional stakeholder engagement (IT ops, risk, compliance, business lines) o Dual mandate: ship MVPs AND do real innovation — not one or the other o Ability to work with Agile methods (Mastered) o Cross-functional and cross-regional scope from day one o Tech Lead path with direct line to Global Head of Innovation Skills Referential (Required knowledge, skills and abilities) Technical Skills: o 5+ years in DevOps / AI/ML engineering, with 2+ years on LLM-based agentic systems in production o Proven experience contributing to or extending a shared technical framework — not just consuming it o Strong Linux, distributed systems, networking, and enterprise infrastructure architecture expertise o Mastery of containerized environments: Docker, Kubernetes, Helm, GitOps, GitLab CI/CD, ArgoCD o Hands-on LangChain, LangGraph, LangServe,



LangSmith — real production deployments o RAG architecture depth: chunking, embeddings, vector stores, hybrid search, grounding strategies o Solid classical observability: Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry Transversal Skills: o Strong grasp of AI security: access control, data protection, auditability, guardrails, secrets management o Experience in a regulated industry — banking, insurance — with compliance and governance awareness o Fluent qualified English — cross-regional technical leadership and documentation are daily Behavioral Skills: o Ability to share/transmit knowledge o Be results oriented o Creativity & Innovation / Ability to solve problems o Ability to collaborate / teamwork o Develop and maintain system documentation, including configuration guides, and standard operating procedures.
- Direct and be responsible for the implementation effort. o Provide technical guidance and mentorship to team members. o Able to work autonomously and as part of a team using strong analytical skills. o Be service oriented, customer focused, positive, committed and have an enthusiastic can do attitude. o Demonstrate a systematic and logical approach to problem-solving. o Able to follow the bank's standards, processes, and procedures. o Escalating incidents internally or to 3rd party partners when required.

Education Level: Bachelor's or Master's degree in Computer Science, Information Technology or Equivalent Experience level: 7-9 +Years production experience as Senior lead under Agent AI & Devops Location: Mumbai / Bangalore

📌 Agentic AI & DevOps (Bengaluru)
🏢 Bnp Paribas Bank
📍 Bengaluru