AI Solutions Engineer (Automation & Developer Productivity)

Role: AI Engineer

Overview:

We are looking for a highly technical, hands-on AI Engineer who will lead AI-driven initiatives within the QA/System team, with a strong focus on automation. This is a strategic role requiring both execution and leadership, working closely with architects and leading a small team.

Key Responsibilities:

Lead AI initiatives focused on automation testing and system optimization

Own and manage AI-based tools/applications (e.g., Log Analyzer / TOLA) including maintenance, enhancements, and adoption across teams

Drive implementation and expansion of tools like Cursor AI across use cases

Support and enhance ongoing AI POCs (e.g., Data Assist migration from ChatGPT to Amazon Bedrock)

Collaborate with architects and cross-functional teams to define AI roadmap and use cases

Continuously evaluate and implement new AI tools/solutions over the next 1–2 years

Provide technical leadership and guide offshore team member

Required Skills & Experience:

5+ years of strong development experience (Java preferred, but open to other languages)

1–2 years of hands-on experience in AI/ML or applied AI use cases

Strong coding background (must be hands-on, not purely managerial)

Experience working on automation frameworks or AI-driven testing solutions

Ability to lead initiatives, drive adoption, and operate independently

Strong communication and stakeholder management skills

Nice to Have:

Exposure to healthcare domain (not mandatory)

Experience with tools like Amazon Bedrock, AI-based automation tools, or similar platforms