Senior Genai Engineer

Senior GenAI Engineer

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior GenAI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Role Summary

Hands-on GenAI Engineer working on canonical LLM APIs—designing OpenAI-compatible endpoints (/generate, /search, /ingest, embeddings), operating AI Gateway Hybrid with OAuth/mTLS hardening, and evolving SDKs for LangGraph/ADK with trace/eval hooks. Owns versioning, deprecation, rate limiting, and developer onboarding.

Responsibilities

1. Design and maintain canonical LLM APIs (OpenAI-compatible chat/generate, search, ingest, embeddings, responses, interactions) with multi-model backends, consistent across on-prem and cloud.
2. Operate Gateway for LLM traffic (SSE/streaming), set TPS and payload SLOs, and coordinate capacity allocations with enterprise gateway owners.
3. Implement authN/Z patterns: OAuth2 client credentials and user-context flows; enforce mTLS and device/tls-bound tokens to eliminate key sharing.
4. Define versioning & deprecation policy; publish change notices and maintain compatibility matrices for SDKs and proxies.
5. Build developer onboarding paths
6. Integrate Open telemetry (tracing/evals) into gateway and APIs; propagate correlation IDs and tags for spaces/projects.
7. Evolve SDKs to standardize auth, observability, signal endpoints, and registry updates for LangGraph/ADK.
8. Implement rate limiting, quotas, and abuse protection at gateway/API levels; coordinate product creation and throttle settings.
9. Publish OpenAPI specs, SDK examples, and reference integrations; ensure parity across environments and models introduced by platform comms.
10. Run performance & soak tests (streaming, batch, embeddings); set promotion gates tied to latency/error SLOs.
11. Coordinate change windows for gateway upgrades and author impact comms/SOPs.
12. Enforce retirement of direct model endpoints—route all model access through APIs/gateway; guide exception handling.
13. Explore AI gateway options for MCP/agent traffic (research & POC) and align with enterprise standards before adoption.
14. Provide executive updates on API adoption, reliability, and roadmap (batch APIs, async patterns) tied to enterprise goals.

Must-Have Skills (hands-on)

Area - Skills - How you'll use them

Gateway Operations - AI Gateways like KONG, Portkey, SSE/streaming, quota/rate limits - Run LLM gateways at scale; plan capacity and change windows.

API Design - OpenAI-compatible schemas; OpenAPI; versioning/deprecation - Create scalable/extensible APIs.

AuthN/Z - OAuth2 (client & user-context), mTLS, token binding - End key-sharing; enforce per-user access via gateway.

SDKs & Frameworks - LangGraph/ADK - Standardize auth/telemetry/signal handlers in client libs.

Telemetry/Evals - Trace propagation; - Make API calls observable and evaluable end-to-end.

Coding Skills - Python, Java, devin/github copilot

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.