Hiring.Camp

Core AI Engineer

LSEG

·

Today

Location
IND-BLR-Divyasree Technopolis, India
Type
Full-time
Department
Engineering
Source
Workday

Description

Enterprise AI Architecture

  • Define architecture standards and engineering patterns for enterprise AI solutions.
  • Lead the design of highly scalable AI platforms, services and reusable capabilities.
  • Drive technology decisions relating to LLMs, AI Agents, RAG architectures, knowledge platforms and orchestration frameworks.
  • Establish long-term technical roadmaps that support the strategic direction of AI adoption.

AI Platform Engineering

  • Lead development of shared AI capabilities used by multiple engineering teams.
  • Drive the creation of enterprise AI frameworks, SDKs, utilities and accelerators.
  • Establish engineering principles for AI reliability, observability, governance and lifecycle management.
  • Improve reusability, scalability and operational excellence across AI solutions.

Technical Leadership

  • Act as a recognised subject matter expert for AI Engineering.
  • Provide technical leadership across multiple initiatives simultaneously.
  • Mentor GG12 and GG13 engineers and data scientists.
  • Coach engineering teams on best practices for AI delivery and productionisation.

AI Product Delivery

  • Lead the technical delivery of strategic AI initiatives from concept through production.
  • Collaborate with Product Managers and business leaders to define solution outcomes.
  • Ensure robust engineering discipline across testing, deployment and support models.
  • Drive technical risk identification and mitigation activities.

Innovation & Strategy

  • Evaluate emerging AI technologies and identify opportunities for business adoption.
  • Influence enterprise AI strategy and standards.
  • Partner with architecture, engineering, cybersecurity and risk teams to ensure scalable solutions.
  • Represent the AI organisation in strategic technical forums and governance bodies.

What You'll Bring

Essential Experience

  • Significant experience designing and delivering enterprise-scale software platforms.
  • Proven track record building production AI or machine learning systems.
  • Experience leading technical direction across multiple engineering teams.
  • Strong architectural experience covering distributed systems and cloud-native services.
  • Demonstrated success establishing engineering standards and reusable technical capabilities.
  • Experience influencing senior stakeholders and driving strategic technology decisions.

Technical Expertise

  • Advanced Python engineering and software architecture experience.
  • Extensive experience with Generative AI technologies.
  • LLM orchestration frameworks.
  • Agentic AI systems and autonomous workflows.
  • Retrieval Augmented Generation (RAG) architectures.
  • Knowledge graph and vector database technologies.
  • MLOps and AI lifecycle management.
  • Cloud-native engineering (Azure preferred).
  • API, microservices and event-driven architectures.
  • AI governance, observability and evaluation frameworks.

Desirable Experience

  • Experience building enterprise AI platforms serving multiple business functions.
  • Financial services or regulated industry experience.
  • Knowledge of service resilience and operational engineering domains.
  • Experience implementing Responsible AI frameworks.
  • Experience with Microsoft AI ecosystem and Copilot technologies.

We're proud to have been recognised as a Great Place to Work® in India ‘25

Career Stage:

Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Skills

PythonAzureMachine LearningCybersecurityMicroservices

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