Job Description
Position: Senior Automation Consultant – AI & RPA
Function: Robotics Process Automation (RPA)
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Hybrid - Bengaluru
Employment Type: Full-time
Compensation: INR 25.2-58.2 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with robotics process automation (rpa), in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 16 years
Core Competencies Required: Deep Learning, Cloud Platforms (AWS/GCP/Azure), Robotics Process Automation (RPA), Neural Network Architectures, Computer Vision, TensorFlow/PyTorch, Python, Machine Learning
Further Information:
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. References may be requested closer to the offer stage rather than at the start of the process. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Most days include at least one review checkpoint where progress is discussed against the plan for the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Internal job postings are open to employees who've completed a minimum tenure in their current role. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There is a defined internal mobility path for people who want to specialise deeper or move into people management. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Function: Robotics Process Automation (RPA)
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Hybrid - Bengaluru
Employment Type: Full-time
Compensation: INR 25.2-58.2 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with robotics process automation (rpa), in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 16 years
Core Competencies Required: Deep Learning, Cloud Platforms (AWS/GCP/Azure), Robotics Process Automation (RPA), Neural Network Architectures, Computer Vision, TensorFlow/PyTorch, Python, Machine Learning
Further Information:
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. References may be requested closer to the offer stage rather than at the start of the process. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Most days include at least one review checkpoint where progress is discussed against the plan for the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Internal job postings are open to employees who've completed a minimum tenure in their current role. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There is a defined internal mobility path for people who want to specialise deeper or move into people management. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.