Responsibilities

Direct Responsibilities

1. 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. 2) Contribute to and extend the shared agentic framework: propose improvements, develop reusable components, document patterns for group-wide adoption
3. 3) Drive pure innovation work in parallel: prototype emerging approaches (LightRAG, TigerRAG, graph-based RAG, advanced MCP patterns) and evaluate their production potential
4. 4) Design agentic workflows using LangChain, LangGraph, and LangServe — multi-agent reasoning, tool-calling, stateful orchestration, API/microservice exposure
5. 5) Build production assistants on real infra datasets: incident investigation, RCA, change analysis, CMDB querying, run assistance, documentation search
6. 6) Implement and enforce guardrails: hallucination control, access control, secrets management, output validation, sensitive data handling
7. 7) Own end-to-end observability via LangSmith: prompt tracing, tool call monitoring, evaluation datasets, performance alerting

Contributing Responsibilities

1. 1) Coordinate technically across Paris, Mumbai, and group entities — architecture reviews, cross-regional ceremonies, async collaboration
2. 2) Provide technical leadership and mentorship to the Mumbai engineering team
3. 3) Deploy and operate POC environments on cloud-native and containerized platforms (Docker, Kubernetes, Helm, GitOps, ArgoCD, GitLab CI/CD)
4. 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 professional 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 robust 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
📍 Bengaluru