Technical Specialist

Technical Specialist

About the Opportunity

Job Type: PermanentApplication Deadline: 05 November 2026

Job Description

                                                                                                                

Title                 Technical Specialist - AI

Department:     GC & Finance Technology

Location:         Gurgaon

Reports To:     Sub Capability Lead - GC & Finance Tech Delivery

Level                Grade 4

About Fidelity International

We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our GC Technology team and feel like you’re part of something bigger.

GC & Finance Technology

GC&F Technology function provides Technology services to multiple business functions like Finance, General Counsel and Corporate Services (CS), globally. This includes on-premises and SaaS solutions, both in-house built and vendor provided.  There is a strong focus on data analytics, workflow, automation tools and our inhouse built integration platform, to bring greater efficiency to these functions.   GC&F Technology team is a global team with people based in the UK, China, and India, and a part of the Enterprise Technology Services (ETS) organization.

About Your Role

GC&F Technology function is focussed on an ambitious, future‑focused transformation—evolving into an integrated delivery capability model built on modern engineering, intelligent automation, and an AI‑first mindset. Our vision is to create a powerful, scalable, and cloud-native technology ecosystem that accelerates business value and unlocks insights through data and analytics.

This role sits at the centre of our transformation journey. We are seeking a bold and innovative AI engineer who can lead the design, engineering and delivery of enterprise-grade LLM and Agentic AI solutions, combining robust RAG architectures, deterministic application workflows, prompt engineering and cloud-native engineering practices. The role will work closely with business stakeholders as a Forward Deployed Engineer, rapidly translating business problems into scalable AI solutions from experimentation through production.

Key Responsibilities

• Design and deliver enterprise-grade Agentic AI solutions combining LLMs, RAG, deterministic workflows, APIs and external tools.
• Build AI solutions integrated into native enterprise applications and existing business workflows, ensuring seamless user experience and adoption.
• Integrate foundation models such as OpenAI , Claude and other open source models, including prompt engineering, chaining and tool/function calling.
• Build end-to-end RAG pipelines covering ingestion, embeddings, indexing, hybrid retrieval, reranking and grounded generation.
• Apply cloud-native engineering practices to build secure, scalable and production-ready AI services.
• Establish model and agent governance covering evaluation, monitoring, versioning, security, traceability and human oversight.
• Work as a Forward Deployed Engineer with business teams, applying strong AI/ML and Transformer knowledge to rapidly prototype, validate and productionise solutions.

Experience and Qualifications

Technical

• Strong hands-on experience in Python and building production-grade AI/ML applications, APIs and backend services.
• Proven experience working with LLMs such as OpenAI, Claude or equivalent models, including prompt engineering, structured outputs, tool calling and model evaluation.
• Practical experience designing and implementing RAG solutions using embeddings, vector databases, hybrid search, reranking and enterprise knowledge sources.
• Experience designing Agentic AI workflows using orchestration frameworks and integrating AI capabilities with native enterprise applications, APIs and business systems.
• Strong understanding of Machine Learning, Data Science, Transformer architectures and the underlying concepts behind modern foundation models.
• Experience with cloud platforms such as AWS , including containerisation, Kubernetes, CI/CD, observability, security and scalable application deployment.
• Bachelor’s or master’s degree in computer science, Engineering, Data Science, AI/ML or a related discipline, with demonstrated experience delivering AI solutions from prototype through production.

• Behavioural

• Strong team player
• Self-motivation is essential, should demonstrate commitment to high quality design and development.
• Willingness to work in different time-zones if required.
• Initiative in keeping abreast of changing industry practices, analysis and design methods, tools and techniques and emerging technologies.
• Ability to develop & maintain working relationships with several stakeholders and testing professionals.
• Flexibility and an open attitude to change.
• Problem solving skills with the ability to think laterally, and to think with a medium term and long-term perspective.
• Ability to learn and quickly get familiar with a complex business and technology environment.

Feel rewarded

For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

Experience Level

Mid Level