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India
Remote only
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an AI Automation Specialist based in India.
Join an innovation-driven R&D environment where artificial intelligence is used to solve real business challenges and improve operational efficiency. In this role, you will design and develop intelligent automation solutions using Python, generative AI, and AI-powered agents. You will collaborate with technical and business stakeholders to transform complex requirements into scalable, reliable applications. From prototyping emerging AI technologies to deploying production-ready solutions, you will contribute throughout the entire development lifecycle. Your work will help identify automation opportunities across functions such as HR, Finance, IT, and Operations. This is an exciting opportunity to apply your AI expertise, explore emerging technologies, and deliver practical solutions with measurable business impact.
Business requirements analysis: Collaborate with stakeholders to gather, analyze, and document business requirements, identifying opportunities where AI and automation can improve processes and outcomes.
AI application development: Design, develop, optimize, and maintain AI-powered applications using Python, ensuring solutions address real-world business needs.
Intelligent process automation: Build and deploy automation solutions that streamline workflows, reduce repetitive tasks, and improve operational efficiency.
Generative AI and agent development: Research, prototype, and implement generative AI models, large language model (LLM)-based solutions, and intelligent AI agents.
Technical solution design: Translate business requirements into effective technical architectures and implementation plans for AI-driven applications.
Cross-functional collaboration: Work closely with R&D, product, and business teams to develop innovative solutions and support successful implementation.
System performance and reliability: Ensure that deployed AI applications are scalable, reliable, efficient, and maintainable throughout their lifecycle.
AI opportunity identification: Evaluate potential use cases for AI adoption across HR, Finance, IT, Operations, and other business functions.
Continuous learning and innovation: Monitor emerging AI technologies, tools, frameworks, and best practices to identify opportunities for improvement and innovation.
Python expertise: Strong proficiency in Python for application development, scripting, and automation.
AI and machine learning knowledge: Solid understanding of artificial intelligence and machine learning concepts, including generative AI and its practical applications.
Automation experience: Familiarity with process automation, intelligent workflows, and the development of solutions that improve business efficiency.
LLM and AI agent integration: Experience building, deploying, or integrating AI agents and LLM-based applications.
Requirements gathering: Ability to understand business needs, translate them into technical specifications, and design appropriate solutions.
Problem-solving skills: Strong analytical thinking and the ability to troubleshoot technical challenges and develop effective, practical solutions.
Collaboration: Comfortable working in a cross-functional R&D environment, partnering with technical specialists and business stakeholders.
Communication: Good English reading and writing skills, with the ability to document technical concepts and communicate effectively with colleagues.
Preferred technical skills: Experience with AI agent development, Model Context Protocol (MCP), vector databases, and Retrieval-Augmented Generation (RAG) is an advantage.
Learning mindset: Enthusiasm for exploring new AI technologies, experimenting with emerging approaches, and continuously improving technical capabilities.
Candidates who meet most, but not necessarily all, of the listed requirements are encouraged to apply.
Flexible benefits: Access to country-specific elective benefits designed to accommodate individual needs and lifestyles.
Professional development: Formal leadership and career development programs, along with on-demand courses to strengthen technical and professional skills.
Holistic well-being: Resources and programs supporting financial, physical, and mental well-being, including seminars, events, and access to a global assistance program.
Inclusive workplace: An environment that values diversity, equity, inclusion, and different perspectives, with opportunities for meaningful collaboration and equitable career development.
Structured onboarding: Opportunities to connect with colleagues across the global organization during the first 30 days through an onboarding program.
Employee communities: Access to peer-led communities, employee resource groups, volunteering opportunities, and environmental and social initiatives.
Remote work: A full-time remote position based in India.
Innovation-focused environment: Opportunities to work on practical AI use cases, contribute to R&D initiatives, and develop solutions using emerging technologies.