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Salary
$39k – $99k per year (Estimated)
Location
In office (Chennai)
Seniority
Senior · 7+ years exp

Confirmed on the employer's own hiring board on Sep 23, 2026. First seen by Alion on Sep 21, 2026. Ascendion scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Ascendion is an American technology services company created in 2022 when Collabera's digital engineering business was separated under private equity ownership and rebranded. It builds software, data platforms and applied artificial intelligence for enterprise clients across financial services, healthcare, retail, technology and communications, and it markets itself around engineering delivery accelerated by its own artificial intelligence tooling rather than around headcount. Headquartered in Basking Ridge, New Jersey with its largest delivery base in India, it employs several thousand engineers across North America, Europe and Asia.

Location: All Ascendion Location

Shift Hours: 4 PM to 1 AM IST

Summary

The Senior AI Engineer designs, builds, and operates the core infrastructure and orchestration backbone of AI solutions. This role ensures the platform is secure, scalable, resilient, and production-grade.

Key Responsibilities

  • Architect and implement cloud-native AI platforms using Azure.
  • Build and manage agent orchestration services (multi-agent workflows, tool invocation, state management).
  • Knowledge in MCP, A2A and other new protocols
  • Deploy and manage LLM integrations (Azure OpenAI, embeddings, fine-tuned models).
  • Implement RAG pipelines using Azure AI Search, vector databases, and storage.
  • Design secure APIs, authentication, authorization, and secrets management.
  • Support observability: logging, tracing, metrics, and AI performance dashboards.

Required Skills & Experience

  • 7-8 years in Cloud / Platform Engineering with strong AI system exposure.
  • Deep expertise in Azure (Functions, App Services, Document Intelligence, AI Search, OpenAI).
  • Strong understanding of LLMs, embeddings, RAG, agentic architectures.
  • Proficiency in Python, C#, or Node.js.
  • Experience with infrastructure-as-code (Bicep, Terraform).
  • Strong DevOps and security mindset.
  • Experience with LangGraph, Semantic Kernel, AutoGen, or similar agent frameworks.
  • Knowledge of compliance and data governance for AI systems.
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