Position Overview

The typical candidate will have experience working in enterprise software systems in a cross-collaborative environment. The candidate is expected to work closely with stakeholders including Product Managers and Architects to help shape requirements, influence the solution, and explain the same to the team. The candidate needs to be a team player and should be willing to take up responsibilities as necessitated by project requirements.

Key Responsibilities

• Communication: Clearly articulate engineering point of view in calls with stakeholders including Product Managers and Architects.
• Analysis: Break down requirements into technical asks related to the system; work with Product Managers to ensure backlog maintenance, story hygiene, and that stories are implementation ready.
• Solutioning: Collaborate with architects and designers to refine requirements and validate feasibility; call out gaps and engage with stakeholders to address them.
• Execution: Convert solution designs to working deliverables; ensure high quality output with a clear focus on design alignment, code reviews, and represent the team in stakeholder calls.
• Hypercare & Post Go-Live Management: Support post-go-live stabilization during the hypercare period; triage incidents, track resolution, and report on hypercare performance.

Preferred Qualifications

• Full-stack engineer with 8-10 years of software engineering experience, including 3-5 years in AI/ML system design and delivery.
• Excellent communication and stakeholder engagement skills.
• Knowledge of core AI/ML techniques and algorithms.
• Expertise in Java or Python, OOP, Design Patterns, and time and space-efficient algorithms.
• Experience in evaluating and implementing ML models in cloud environments.
• Understanding of data architecture, APIs, and distributed systems.
• Proficiency in the ServiceNow Platform including Scripting, integrations, ACLs, Flow Designer, and Now Assist is a plus.
• Ability to understand and clarify requirements and deliver modules with minimal dependencies.