NTT

3 weeks ago

Systems Integration Senior Specialist

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Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Design and build AI-enabled applications for DB Intelligence, including user-facing workflows, APIs, microservices, orchestration components, and data integration layers. Develop Python services for AI/ML integration, model orchestration, RAG and agentic workflows, and evaluation pipelines. Work with structured and unstructured enterprise data sources while contributing to secure, scalable, observable, production-ready systems and responsible AI controls.

Location: India

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and build AI-enabled applications for DB Intelligence, including user-facing workflows, APIs, microservices, orchestration components, and data integration layers.
•Build Python services for AI/ML integration, model orchestration, RAG and agentic workflows, data processing, evaluation pipelines, and automation.
•Integrate structured and unstructured data sources (e.g., internal systems, documents, market/event data, portfolio data, and enterprise knowledge sources).
•Contribute to AI architectures using LLM APIs, prompt orchestration, embeddings, vector search, guardrails, and human-in-the-loop review while supporting model evaluation and monitoring.
•Apply engineering discipline and responsible AI controls, including clean code, automated testing, CI/CD, performance tuning, resilience, data privacy/entitlement management, and audit/explainability requirements.

Key Requirements

•Significant professional software engineering experience delivering AI/data/analytics or decision-support platforms.
•Strong Python engineering experience, including FastAPI/Flask, Pandas, data pipelines, and AI/ML libraries with LLM integration and evaluation/automation frameworks.
•Experience building production-grade applications with security, scalability, availability, latency, observability, and maintainability considerations.
•Practical GenAI/AI application experience using LLM APIs, prompt engineering, embeddings, vector databases, RAG, semantic search, agent workflows, and guardrails.
•Experience integrating enterprise data sources and APIs (e.g., SQL databases, document stores, search platforms, event/messaging platforms, or data lakes) with strong secure engineering knowledge.

Experience:Financial servicesBanking

Skills:MentoringDesign leadershipCommunication

Tech Stack:PythonFastAPIFlaskPandasAPIsMicroservicesCI/CDObservabilityLLM APIsPrompt engineeringEmbeddingsVector databasesRAGSemantic searchAgent workflowsModel evaluationSQLAuthenticationAuthorizationAudit logging

Company Brief

NTT

Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn

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NTT