NICE Ltd. logo

Senior Software Engineer, AI, Actimize(AI Engineer)

Job Overview

Location

India - Pune

Job Type

Full-time

Category

Software Engineering

Date Posted

June 22, 2026

Full Job Description

đź“‹ Description

  • • Design and implement AI-powered automations using generative AI, agent-based frameworks, and workflow orchestration technologies to enhance efficiency and reduce cost-to-serve in Actimize Professional Services.
  • • Build and maintain secure integrations via APIs and MCP-style connectors across enterprise systems including CRM, project management tools, ticketing platforms, and document repositories.
  • • Develop reusable automation components, agents, and scalable frameworks that can be deployed across Professional Services engagements and regional teams.
  • • Ensure all AI automation solutions are production-ready, secure, compliant, and aligned with enterprise AI governance standards.
  • • Gain deep understanding of Actimize Professional Services delivery models, implementation methodologies, and governance processes to identify high-impact automation opportunities.
  • • Collaborate with PS stakeholders including Delivery Leads, Program Managers, Architects, and Managed Services teams to validate automation fit within existing workflows.
  • • Embed AI solutions directly into standard Professional Services processes rather than creating parallel or siloed systems.
  • • Execute AI automation initiatives based on prioritized ROI targets and cost optimization directives from AI Champions and leadership.
  • • Define and track success metrics for automations such as effort reduction, cycle time savings, and quality improvements.
  • • Report realized benefits to stakeholders and continuously optimize automation performance to maximize value delivery.
  • • Provide technical feasibility assessments and effort estimates to support prioritization of automation initiatives.
  • • Package successful automations into scalable Professional Services assets, playbooks, and reusable tools for broad adoption.
  • • Support rollout and adoption of AI automations through documentation, onboarding guidance, and best practice dissemination.
  • • Partner with enterprise AI, security, and architecture teams to ensure responsible, compliant, and secure use of AI technologies.
  • • Contribute to internal knowledge sharing and the maturation of AI capabilities within the Professional Services organization.

🎯 Requirements

  • • 4+ years of experience in automation, systems integration, or software engineering roles.
  • • Hands-on experience designing AI-enabled solutions using generative AI, agents, and workflow automation.
  • • Strong experience integrating enterprise systems using APIs and event-based architectures.
  • • Proven ability to translate business requirements into scalable technical solutions.
  • • Experience working within professional services, consulting, or delivery organizations is strongly preferred.

🏖️ Benefits

  • • Participation in the NiCE-FLEX hybrid work model: 2 days per week in the office, 3 days remote.
  • • Opportunity to work at a market-leading global company with over 25,000 customers and 8,500 employees across 30+ countries.
  • • Exposure to cutting-edge AI, cloud, and digital innovation within a high-impact, fast-paced environment.
  • • Career growth opportunities across roles, domains, and geographies within NICE Ltd.

Skills & Technologies

Data Science
Senior
Remote

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About NICE Ltd.

NICE Ltd. is an Israeli-headquartered global enterprise software company that provides cloud platforms for customer engagement, workforce optimization, financial crime and compliance, and advanced analytics. Founded in 1986, it serves contact centers, financial institutions, and public safety organizations with solutions for recording, analytics, robotic process automation, and AI-driven insights. The company operates worldwide, with major offices in the United States, Europe, and Asia-Pacific, supporting clients in improving operational efficiency, customer experience, and regulatory compliance through data-driven decision-making.

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