Technical Specialist
Fidelity International (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 30–50 LPA
Posted 9h ago
Reach people at Fidelity International
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Fidelity International you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design, engineering, and delivery of enterprise-grade Agentic AI solutions involving LLMs, RAG architectures, deterministic workflows, and cloud-native practices.
- Build AI solutions integrated with native enterprise applications and existing workflows ensuring seamless user experience and adoption.
- Act as Forward Deployed Engineer working closely with business stakeholders to translate problems into scalable AI solutions from prototype to production.
Minimum Requirements
- Strong hands-on experience in Python and building production-grade AI/ML applications, APIs, and backend services.
- Proven experience with LLMs (e.g., OpenAI, Claude) including prompt engineering, tool calling, and model evaluation.
- Practical experience designing and implementing RAG pipelines including ingestion, embeddings, indexing, and hybrid search.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML or related field; work experience requirement: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience integrating AI/ML solutions with enterprise applications and APIs, demonstrating ability to operationalize AI at scale.
- Strong background in Transformer architectures, Machine Learning, and cloud-native deployments (AWS, containerization, CI/CD).
- Proven ability to work as a Forward Deployed Engineer, rapidly prototyping and productionizing AI solutions in collaboration with business teams.