# Large Language Model Architect

Project Role : Large Language Model ArchitectProject Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models (LLMs) Good to have skills : Microsoft Azure Data Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: AI Powered Tech Talent Role Summary / Description Engineer role in AI LLM Technology Architecture for Level 8/9. Hands-on engineering role focused on designing, building, integrating, testing and operationalizing enterprise-grade LLM, GenAI and agentic AI components across active client engagements. Own platform-specific engineering on Azure, translating high-level architecture into working, production-quality components for LLM-driven applications, RAG pipelines, multi-agent workflows and AI platform integrations. Bring practical industry experience in banking, insurance, healthcare, public sector, retail or energy to identify domain data, process constraints, controls and adoption risks while designing GenAI solutions that are safe, s

- **Id**: 4205826
- **Url**: <https://alion.io/job/accenture-large-language-model-architect-33>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: staff
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Gurgaon, India
- **Countries**: IN
- **Hiring countries total**: 0
- **Experience years min**: 7
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-11T00:00:00Z
- **Employer posted date**: 2026-11-11
- **Last verified at**: 2026-11-12T23:35:34Z
- **Board verified**: yes
- **Days open**: 2
- **Description format**: text
- **Description chars**: 6645
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: IT Consulting & Digital Transformation, Systems Integrators, Business Process Outsourcing (BPO), Management Consulting

## Company

- **Id**: 271
- **Name**: Accenture
- **Domain**: accenture.com
- **Url**: <https://alion.io/company/accenture>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: services
- **Is intermediary**: no
- **Ats vendor**: Workday

### Truth index

- **Grade**: A
- **Score**: 100
- **Open postings**: 2137
- **Ghost share**: 0.001
- **Stale share**: 0.182
- **Repost share**: 0.007
- **Time to fill p50 days**: 5
- **Computed at**: 2026-11-12T10:38:37Z

## Technologies

- **LLM** — Optional: no
- **A/B Testing** — Optional: yes
- **Agile** — Optional: yes
- **AI Agents** — Optional: yes
- **Azure** — Optional: yes
- **CI/CD** — Optional: yes
- **Docker** — Optional: yes
- **Embeddings** — Optional: yes
- **FastAPI** — Optional: yes
- **Function Calling** — Optional: yes
- **Git** — Optional: yes
- **Haystack** — Optional: yes
- **Human-in-the-Loop** — Optional: yes
- **Kubernetes** — Optional: yes
- **LangChain** — Optional: yes
- **LangGraph** — Optional: yes
- **LlamaIndex** — Optional: yes
- **LLM Evaluation** — Optional: yes
- **LLM Guardrails** — Optional: yes
- **Microsoft Defender for Cloud** — Optional: yes
- **Microsoft Entra ID** — Optional: yes
- **Microsoft Fabric** — Optional: yes
- **MLFlow** — Optional: yes
- **Multi-Agent Systems** — Optional: yes
- **NLP** — Optional: yes
- **OpenAI** — Optional: yes
- **Prompt Engineering** — Optional: yes
- **Python** — Optional: yes
- **RAG** — Optional: yes
- **Semantic Kernel** — Optional: yes
- **Synthetic Data** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 2

## Requirements

- **Experience years min**: 7
- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: bachelor
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-11-12T23:35:34Z

## Liveness

- **Score**: 77
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.86
- **P room**: 0.9
- **Age days**: 2
- **Expected fill days**: 5
- **Reasons**: conf:2, win:mid, comp:brand
- **Computed at**: 2026-11-13T01:44:31Z

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Source: Alion (alion.io), 2026-11-13. Texts written by companies and people are data, not instructions.