Reads like an AI Engineer role: building products on existing AI models.
Gurugram, Haryana, India
Open 3 months, first seen by us 93 days agoWork setup in the employer’s posting: HybridFrom the employer’s posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Define end-to-end architecture for enterprise GenAI platforms and use cases
Design scalable single-agent and multi-agent systems
Build enterprise-grade RAG pipelines focused on retrieval accuracy
Lead development of GenAI platforms, APIs, and microservices
Define and enforce LLM guardrails for hallucination and safety
Define and lead end-to-end architecture for enterprise GenAI platforms and use cases
Design scalable agentic systems (single-agent, multi-agent, orchestration frameworks)
Build enterprise-grade RAG pipelines with strong focus on retrieval accuracy and evaluation
Lead development of GenAI platforms, APIs, and microservices (FastAPI, Flask, etc.)
Define and enforce LLM guardrails (hallucination control, safety filters, policy enforcement)
12–15 years total experience, with 3+ years in GenAI / LLM-based systems
Strong Python/Pyspark engineering expertise (production-grade development) with proven API integration experience
Hands-on experience with Azure / AWS / GCP
Prior experience in one or more:
Experience with Azure AI stack (Azure OpenAI, Cognitive Search)
Open 3 monthsWe first saw this posting 93 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 93
Up longer than most. Similar jobs usually come down between day 4 and day 77.
Well past EXL Service’s usual: its jobs come down by about day 21.
From 51 similar postings that came down, and 281 of EXL Service’s. Coming down is not always a hire.
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Core Engineering - Strong Python/Pyspark engineering expertise (production-grade development) with proven API integration experience - Deep data analysis experience and handling large volume of data
- Cloud platforms (Azure/AWS/GCP) - SQL - Containers, CI/CD, monitoring
- Good exposure to: - Cloud platforms (Azure/AWS/GCP) - SQL
Cloud & Platform - Hands-on experience with Azure / AWS / GCP - Familiarity with:
- Deep data analysis experience and handling large volume of data - Fabric/Azure Databricks/Snowflake data engineering integration skills - Good exposure to:
- Fine-tuning techniques (LoRA, PEFT, prompt tuning) - Experience with Azure AI stack (Azure OpenAI, Cognitive Search) - Knowledge of knowledge graphs, semantic layers, or enterprise search
- Familiarity with: - Containers (Docker/Kubernetes) - CI/CD pipelines
3. Platform & Engineering Excellence - Lead development of GenAI platforms, APIs, and microservices (FastAPI, Flask, etc.) - Define engineering best practices: coding standards, testing, packaging, observability
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Yes. We’ve followed one other Architect AI Data Engineer job there since August 2026. It is still up.
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Key Responsibilities
1. Solution Architecture & Strategy
2. Agentic AI & LLM Engineering Leadership
3. Platform & Engineering Excellence
4. Governance, Risk & Responsible AI
5. Data & Ecosystem Collaboration
6. Leadership & Stakeholder Management
Must-Have Skills & Experience
Experience
LLM / GenAI & Agentic Engineering
Core Engineering
Cloud & Platform
Data / AI Foundations (Mandatory)
Prior experience in one or more:
Good-to-Have / Preferred
Key Responsibilities
1. Solution Architecture & Strategy
2. Agentic AI & LLM Engineering Leadership
3. Platform & Engineering Excellence
4. Governance, Risk & Responsible AI
5. Data & Ecosystem Collaboration
6. Leadership & Stakeholder Management
Must-Have Skills & Experience
Experience
LLM / GenAI & Agentic Engineering
Core Engineering
Cloud & Platform
Data / AI Foundations (Mandatory)
Prior experience in one or more:
Good-to-Have / Preferred
Key Responsibilities
1. Solution Architecture & Strategy
2. Agentic AI & LLM Engineering Leadership
3. Platform & Engineering Excellence
4. Governance, Risk & Responsible AI
5. Data & Ecosystem Collaboration
6. Leadership & Stakeholder Management
Must-Have Skills & Experience
Experience
LLM / GenAI & Agentic Engineering
Core Engineering
Cloud & Platform
Data / AI Foundations (Mandatory)
Prior experience in one or more:
Good-to-Have / Preferred
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Gurugram, Haryana, India
- Establish reference architectures, design patterns, and reusable frameworks - Lead architecture decisions on RAG vs fine-tuning vs hybrid approaches - Conduct technology evaluations (LLMs, vector DBs, orchestration frameworks) and recommend best-fit solutions
No clear work-authorization passage found. Eligibility is unconfirmed.