Years of Experience-5-14 years

- Bachelors degree in Computer Science, Engineering, Data Science, or related field

- 5+ years of hands-on software engineering experience in deploying distributed systems and cloud-native solutions

- 5+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives

- Experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments

- Experience building and deploying AI/ML solutions, including familiarity with LLMs, prompt engineering, and model deployment patterns

- Experience structuring ambiguous problems and driving them to clear, actionable solutions

- Experience working in cloud environments (e.g., Azure, AWS, GCP)

- Proficiency in up-to-date development frameworks, APIs, and data integration approaches

- Advanced user capability on CodeX, Claude, etc. and other AI productivity tools

- Proven ability to lead client engagements,



including discovery, solution design, and delivery

- Proven solid stakeholder management skills, with the ability to influence both technical and executive audiences

- Proven excellent communication and storytelling skills, with the ability to adapt messaging to different audiences

Preferred Qualifications:

- Masters degree in a technical discipline (AI/ML, Data Science, Software Engineering)

- Healthcare Domain Expertise; understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle)

- Familiarity with healthcare data, regulatory requirements, and interoperability considerations

- Proven to be comfortable operating in fast-paced, ambiguous environments with evolving client needs

- Proven solid collaboration mindset with the ability to work across distributed and cross-functional teams

- Proven entrepreneurial, solution-oriented approach with a bias toward action and outcomes

📌 AI/ML Architect (Bengaluru)
🏢 Wipro
📍 Bengaluru