Job Title: Senior AI / ML OPS Engineer – Agentic AI for IT Production

Department: IPS- CARDIF

About Business Line/Function

BNP Paribas CARDIF is the insurance subsidiary of BNP Paribas. We are a worldwide leader of the Credit Protection Insurance market with strong positions in savings and protection insurance in more than 30 countries in Europe, Asia and Latin America.

The Infrastructure & Production function is responsible for ensuring stability, performance, security and availability of application services throughout their lifecycle. Operating in a continuously evolving technical environment, the team works closely with development and business stakeholders within an Agile and DevOps framework, while driving operational excellence and continuous improvement.

Position Purpose

The Senior AI / ML OPS Engineer plays a key technical role in the design, industrialization and operation of agentic AI systems for IT Production.

This position bridges advanced AI engineering with productiongrade operational requirements, ensuring that AIdriven automation is secure, observable, reliable and scalable in a real RUN environment.

Context & Objective Of This Position

Within a highly critical production environment, the objective is to:

Design and evolve agentic AI production agents capable of reasoning on operational signals
Integrate AI agents with production platforms, observability stacks and automation tools
Ensure production readiness, control, auditability and security of AIdriven actions
Support the progressive industrialization of AIOps use cases

Responsibilities

Direct Responsibilities:

Design, develop and operate agentic AI systems using frameworks such as LangChain / LangGraph (or equivalents)
Implement reasoning, planning, decision and orchestration logic for production automation
Integrate AI agents into CI/CD pipelines and ML/AI OPS processes
Connect AI agents to observability systems (Dynatrace, logs, metrics, traces)
Define safeguards, approval mechanisms, rollback and humanintheloop controls
Ensure compliance with security, reliability and operational governance standards

Contributing Responsibilities

Collaborate with OPS, SRE, APS, Architects and AI experts in crossfunctional squads
Participate in testing, validation and gradual rollout of AIdriven use cases
Contribute to postincident analysis, continuous improvement and reliability engineering
Produce and maintain technical and operational documentation compatible with RUN expectations

Technical & Behavioral Competencies

Technical Skills

Advanced Python development and APIbased system integration
Experience with agentic AI frameworks (LangChain, LangGraph, LangSmith or similar)
Strong understanding of production constraints: availability, performance, security, auditability
AI / ML OPS concepts, CI/CD, lifecycle management
Observability: logs, metrics, traces, alerting (Dynatrace, Elastic, etc.)

Production & OPS Skills

Strong background in IT Production / Operations / SRE
Incident, problem and change management (ITIL mindset)
Securebydesign automation and controlled execution of production actions

Specific Qualifications

7–12+ years of professional experience in IT Production, Operations, SRE, DevOps or Platform Engineering, including senior responsibility scopes
Proven experience designing or operating automation systems in production environments
Solid handson expertise in Python development and integration with APIs, scripts, workflows or schedulers
Practical experience with AI or ML systems used in operational or production contexts (AIOps, decision engines, automation logic)
Exposure to agentbased or AIdriven frameworks (e.g. LangChain, LangGraph, LangSmith or equivalent conceptual frameworks) is highly valued
Strong understanding of production governance, security, reliability and auditability constraints
Experience working in international, multisite environments (collaboration with Europe / Asia / LATAM teams)

This role targets senior profiles capable of acting as a technical backbone for AIdriven IT Production initiatives within ISPL.

Skills Referential (Required Knowledge, Skills And Abilities)

Technical & Engineering Skills

Advanced Python programming and system integration capabilities
Strong experience with APIbased architectures and service integration
Ability to design and implement automation workflows suitable for production execution
Solid understanding of DevOps and CI/CD pipelines, including lifecycle management
Familiarity with production platforms, cloudbased environments and modern OPS toolchains

AI & Agentic Systems Knowledge

Strong understanding of agentic AI concepts, including:

Decisionmaking logic
Reasoning and planning flows
Orchestration of actions

Experience building or integrating AI agents into real production contexts, not limited to experimentation
Ability to connect AI agents with observability and monitoring systems (metrics, logs, traces)
Knowledge of safeguards, approval mechanisms, rollback strategies and humanintheloop patterns for AIdriven automation

Production & OPS Abilities

Deep knowledge of IT Production constraints:

Availability and resiliency
Performance and capacity
Security, compliance and audit requirements

Strong experience with incident, problem and change management
Ability to design automation that improves reliability without increasing operational risk
Capability to translate operational reality (runbooks, procedures, constraints) into AIcompatible logic and workflows

Behavioral Skills

Strong ownership and accountability for productiongrade deliverables
Ability to operate with high autonomy in complex and evolving environments
Structured and methodical approach to problem solving and system design
Capability to balance innovation with operational safety and governance
Willingness to mentor junior engineers and share best practices
Ability to challenge designs constructively while respecting production standards
Comfortable working in crossfunctional squads (OPS, SRE, Architects, AI experts)

Soft Skills

Strong analytical mindset and systems thinking
Clear, structured and factual communication, especially in production and incident contexts
Strong collaboration skills in international and multicultural environments
Ability to explain complex AI or technical topics to nonAI / nonexpert stakeholders
Proactive and continuousimprovementoriented attitude
High level of reliability, rigor and professional integrity expected in critical IT production environments

Education Level

Bachelor's or Master's degree in Engineering, Computer Science, Artificial Intelligence, Data Science or equivalent

Location: Chennai

About BNP Paribas Group

BNP Paribas is the European Union's leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group's commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability.

About BNP Paribas India Solutions

Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union's leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions.

Commitment to Diversity and Inclusion

At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in.

Senior AI / ML OPS Engineer

Senior Software Engineer (AI/ML)