Job Openings AI Architect

About the job AI Architect

Company Description

Aqilea is an IT and engineering consulting partner that helps companies get more out of their technology and operations. With teams in Stockholm and Bangalore, we work closely with our clients to build solutions that fit their needs - from software development, AI and infrastructure engineering to industrial automation and embedded systems. We combine strong technical expertise with a practical, business-focused approach to help organizations modernize, improve security, and scale with confidence. Above all, we focus on long-term partnerships built on trust, quality, and real results. With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.


About the Role

Company: Aqilea India

Role: AI Architect

Exp Range : 5 to 8 years

Work Location : Remote


Job Summary

We are looking for an experienced AI Architect to lead the design and implementation of enterprise AI solutions aligned with business and ServiceNow platform strategy. The role involves building scalable AI-driven workflows, Agentic AI, and Generative AI solutions, while ensuring strong governance, security, and responsible AI practices. The AI Architect will collaborate with business and technical teams to translate AI capabilities into measurable business outcomes.


Key Responsibilities
  • Define and drive the AI strategy and roadmap aligned with

    enterprise and ServiceNow platform goals.
  • Identify and prioritize high-value AI use cases across 

    domains such as IT and HR.
  • Design end-to-end AI-enabled solutions and workflows 

    leveraging ServiceNow AI capabilities.
  • Architect integrations between enterprise data sources 

    and 

    external AI platforms.
  • Design and govern AI Agents, Virtual Agents, and Generative AI experiences.

  • Develop prompt engineering strategies, grounding  

    approaches, and model orchestration frameworks.
  • Establish AI governance, security, compliance, and 

    responsible AI practices including privacy, bias mitigation, 

    and explainability.
  • Optimize AI platform performance using Now Assist, 

    Predictive Intelligence, ML models, and automation tools.
  • Collaborate with business stakeholders, product owners, 

    and platform teams to deliver AI-driven business value.
  • Lead POCs, innovation initiatives, pilots, and AI 

    enablement programs across the organization.
Key Skills
  • AI & ML Technologies: Generative AI, Agentic AI, AI Agents, 

    LLMs, RAG, Machine Learning, Deep Learning
  • Programming & Data: Python, Pandas, Data Processing, 

    Statistical ML techniques
  • AI Frameworks & Platforms: LangChain / LangGraph, MCP, 

    Azure OpenAI, Azure AI Foundry
  • ServiceNow AI Capabilities: Now Assist, Predictive 

    Intelligence, Virtual Agent, Workflow Automation
  • Architecture & Integration: Enterprise AI architecture, API 

    integrations, data pipelines, scalable system design
  • AI Governance: Responsible AI, security, compliance, bias 

    mitigation, explainability
  • Cloud & DevOps: Azure Cloud, CI/CD, MLOps practices

  • Soft Skills: Stakeholder management, strategic thinking, 

    problem-solving, cross-team collaboration