AI Automation Technical Leader
Trane Technologies2 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, build, test, deploy, and support AI- and automation-enabled enterprise solutions.
- Translate business requirements and product needs into production-ready software that delivers 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 concept, prototype, or pilot into scalable production solutions.
- Develop reusable services, frameworks, templates, accelerators, agent capabilities, and engineering patterns.
- Guide developers through design decisions, implementation reviews, mentoring, and engineering standards.
- Balance scalability, reliability, security, maintainability, operational support, delivery speed, and business value.
Requirements
- Bachelor's or master's degree in Computer Science, Engineering, Information Technology, or equivalent practical work 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 one or more of Python, TypeScript, JavaScript, Java, or C#.
- Experience designing, building, testing, deploying, and supporting production-grade applications or automation solutions.
- Experience building backend services, APIs, integrations, workflows, and enterprise application solutions.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Experience partnering directly with business stakeholders to shape requirements and deliver technical solutions.
- Experience providing technical leadership through design guidance, mentoring, implementation reviews, and engineering standards.
- Preferred experience building LLM- and agent-enabled applications, using orchestration frameworks, retrieval workflows, multi-step reasoning, and enterprise integrations.
- Preferred familiarity with MCP, A2A, agent frameworks, memory patterns, context engineering, evaluation techniques, responsible AI, security, governance, compliance, and risk considerations.
Benefits
- Competitive compensation and comprehensive benefits and programs.
- Monday through Thursday onsite with colleagues; Fridays offer flexibility to choose the work location based on work requirements.
- Equal opportunity employment for qualified applicants regardless of legally protected status.
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