Senior Data & AI Scientist
Hyderabad Knowledge Park Tower 2 Full-time Senior AI Research
At a glance
Senior AI Research role at Lbg (Lloyds Technology Centre). Hyderabad Knowledge Park Tower 2 · full-time.
Pay not stated AI Research salary
RoleAI Research
SenioritySenior
LocationHyderabad Knowledge Park Tower 2
EmploymentFull-time
PostedOct 14, 2026 · 8d ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Design and deliver large-scale machine learning and generative AI systems, balancing performance, cost and scalability
- Build deployment pipelines, automate tests and track model lifecycles with MLflow or an equivalent tool
- Create retrieval workflows, embedding systems and vector indexes, with safeguards and monitoring for language models
- Serve models through secure microservices, applying access controls and keeping audit records
- Build security, regulatory requirements and responsible AI practices into each solution while setting standards and coaching junior engineers
What you bring
- Seven to twelve years in software, machine learning or AI, with production delivery and technical leadership experience
- Strong Python engineering skills and working SQL knowledge
- Hands-on experience with Docker or Kubernetes, Git-based CI/CD, and cloud AI platforms such as Azure ML or GCP Vertex AI
- A solid grasp of language model prompting, embeddings, retrieval-augmented generation and guardrails
Who this fits
This senior role suits someone who can lead production AI delivery, set technical direction and mentor junior engineers. It is based in Hyderabad and offers hybrid working.
From the employer
End Date
Thursday 22 October 2026We Support Flexible Working – Click here for more information on flexible working options
Flexible Working Options
Hybrid WorkingJob Description Summary
AI Engineer – Grade E (Senior Level)Location: Hyderabad – Lloyds Technology Centre
Function: Chief Data & Analytics Office (AI CoE)
Experience: 7–12 years (software/ML/AI); proven production delivery and technical leadership
Role Purpose
Lead the design and delivery of enterprise-scale AI/ML solutions—including LLM/GenAI features—with strong focus on reliability, security, and compliance. Drive technical standards, mentor junior engineers, and collaborate with cross-functional teams to operationalise AI safely and efficiently.
Job Description
Key Responsibilities
- AI Solution Design & Delivery:
Architect and implement advanced ML and GenAI systems; optimise for performance, cost, and scalability. - Model Operationalisation (MLOps):
Build CI/CD pipelines, implement automated testing, and manage model lifecycle with MLflow or equivalent. - LLMOps & GenAI:
Develop RAG workflows, embeddings, and vector indexes; enforce prompt safety, observability (latency, token usage, cost), and guardrails. - APIs & Integration:
Expose models via secure microservices (FastAPI or similar); ensure RBAC/ABAC and audit logging. - Governance & Compliance:
Embed AI ethics, regulatory standards, and security controls into all solutions.
Essential Skills
- Strong Python and software engineering discipline; working knowledge of SQL.
- Hands-on with Docker/Kubernetes and Git-based CI/CD (GitHub/Azure DevOps).
- Experience with cloud AI stacks (Azure ML or GCP Vertex AI), artefact registries, and secrets management.
- Deep understanding of LLM fundamentals (prompting, embeddings, RAG, guardrails).
- Familiarity with MLflow/Kubeflow, Airflow/Composer, and feature stores (e.g., Feast).
Desirable Skills
- Vector DBs (PGVector/Weaviate/Pinecone), LangChain/LlamaIndex.
- Observability tools (Prometheus/Grafana/OpenTelemetry) and model evaluation frameworks (Evidently, Ragas/TruLens).
- Secure engineering practices: tokenisation/masking, KMS/Key Vault, policy-as-code.