обновлено 6 дней назад
AI Automation Technical Leader
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Automation Technical Leader (AI/Automation): Building and scaling production-ready AI and automation solutions for enterprise use cases with an accent on agentic AI, backend services, APIs, integrations, and cloud architecture. Focus on designing orchestration workflows, moving prototypes into secure and reliable production systems, and establishing reusable engineering patterns for enterprise AI delivery.
Location: Bangalore, Karnataka, India; onsite Monday through Thursday, with a flexible work location on Fridays
Company
develops sustainable, efficient climate solutions for buildings, homes, and transportation through brands including Trane and Thermo King.
What you will do
- Design, build, test, deploy, and support AI- and automation-enabled enterprise solutions.
- Translate business and product requirements into production-ready software with measurable value.
- Integrate models, agents, tools, workflows, APIs, enterprise systems, cloud services, and user experiences.
- Apply agentic AI patterns including tool-calling, MCP, A2A, orchestration, prompt workflows, context management, retrieval, and human-in-the-loop controls.
- Move AI capabilities from concepts and prototypes into scalable, secure, reliable, and maintainable production systems.
- Guide developers through design reviews, implementation decisions, mentoring, reusable components, and engineering standards.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
- 12+ years of experience in software engineering, automation, solution development, or related technical roles.
- 3+ years of experience in a technical lead, solution lead, or senior hands-on IT lead role.
- Strong programming experience in Python, TypeScript, JavaScript, Java, or C#.
- Experience building production-grade applications, backend services, APIs, integrations, workflows, and enterprise solutions.
- Experience with Azure, AWS, or GCP and direct collaboration with business stakeholders.
Nice to have
- Experience building LLM- and agent-enabled applications with orchestration frameworks, retrieval workflows, or multi-step reasoning.
- Familiarity with MCP, A2A, agent frameworks, memory patterns, context engineering, and evaluation techniques.
- Experience integrating AI solutions with ERP, CRM, HR, ITSM, collaboration, or data platforms.
- Knowledge of responsible AI, security, governance, compliance, and enterprise risk management.
- Experience developing reusable accelerators, frameworks, and technical assets.
Culture & Benefits
- Full-time role focused on practical enterprise AI and automation delivery.
- Opportunity to use coding assistants and agentic development practices in production-oriented software delivery.
- Work environment combines onsite collaboration with flexible Fridays.
- Competitive compensation and comprehensive benefits and programs.
- Equal opportunity employment environment.
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