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AI Implementation Engineer | Acuity Analytics | Bengalore

Job Detail

  • Job ID 12248
  • Experience  2-4 Years
  • Industry  Finance
  • Qualifications  Degree Bachelor

Job Description

Job Role: AI Implementation Engineer

  • Location: Bengaluru
  • Work Mode: Hybrid (2-3 Days a week)

Responsibilities

  • Design, build, deploy, and manage AI agents using Azure AI Foundry and Copilot Studio
  • Implement and configure Copilot Studio agents for business workflows, automation, and user interactions
  • Leverage Azure MCP (Model Context Protocol) to enable secure context sharing, orchestration, and tool integration for AI agents
  • Integrate AI agents with enterprise applications, APIs, and data sources
  • Implement identity and access management (IAM) using Azure AD (Entra ID), managed identities, RBAC, and OAuth flows
  • Work with Azure DevOps to:
  • Create and maintain CI/CD pipelines
  • Manage source control, builds, and releases
  • Automate infrastructure and deployment workflows
  • Develop and maintain backend logic and integrations using Python (intermediate proficiency)
  • Write and optimize SQL queries for data access, analytics, and agent context enrichment
  • Monitor, debug, and optimize AI agent performance, reliability, and cost
  • Ensure security, compliance, and responsible AI practices are followed
  • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions
  • Maintain technical documentation and deployment guidelines

Essential skills

  • Hands-on experience deploying AI agents using Azure AI Foundry
  • Experience building and managing agents in Copilot Studio
  • Experience with Azure MCP (Model Context Protocol) for AI agent architectures
  • Strong understanding of Identity Management: Azure AD (Entra ID)
  • Managed identities
  • Authentication & authorization concepts
  • Experience with Azure DevOps (Repos, Pipelines, Boards, CI/CD)
  • Intermediate experience in Python for backend logic, integrations, and automation
  • Intermediate experience in SQL, including performance tuning and complex queries
  • Good understanding of REST APIs and service integrations
  • Experience working in Agile/Scrum environments
  • Strong problem-solving and analytical thinking
  • Ability to work independently and in cross-functional teams
  • Clear communication and documentation skills
  • Proactive mindset with attention to detail

Preferred Skills

  • Azure Functions
  • Azure Logic Apps
  • Azure API Management
  • Azure OpenAI
  • Familiarity with prompt engineering and agent orchestration patterns
  • Knowledge of monitoring tools (Azure Monitor, Application Insights)
  • Exposure to enterprise security and compliance standards
  • Experience with versioning, testing, and deployment of AI solutions

Required skills

AI Implementation Engineer Analytics Azure API Management SQL

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